2026 Speakers
Noa Radin
Staff Data Scientist, HoneyBook
Noa Radin is a Data Scientist at HoneyBook, where she works on improving user onboarding and product experience. Prior to that, she led a data science team at ThetaRay, designing anomaly detection solutions for global banks and fintechs. Noa holds an M.Sc. in Data Science and Engineering from Ben-Gurion University.
Noa Radin is a Data Scientist at HoneyBook, where she works on improving user onboarding and product experience. Prior to that, she led a data science team at ThetaRay, designing anomaly detection solutions for global banks and fintechs. Noa holds an M.Sc. in Data Science and Engineering from Ben-Gurion University.
Yonatan Dolan
Solutions Architect, ClickHouse
Formerly led AWS Big Data & Analytics business development in Israel. Today, I work hands-on with customers to design scalable, high-performance analytics architectures and turn complex data requirements into production-ready solutions. Public speaker with experience in talks at Meetups, AWS summit, DataTLV and other.
Formerly led AWS Big Data & Analytics business development in Israel. Today, I work hands-on with customers to design scalable, high-performance analytics architectures and turn complex data requirements into production-ready solutions. Public speaker with experience in talks at Meetups, AWS summit, DataTLV and other.
Efrat Aran
Head of Data, OurRitual
Efrat Aran leads the data team at OurRitual, a startup building a platform for couples therapy. Before joining OurRitual, Efrat was a Product Data Scientist at AI21 Labs, where she helped shape data-driven decisions around large language models and generative AI. Prior to that, she led one of the Product Analyst team at Lightricks for three years. Her journey into tech began at PayPal, where she worked as a fraud analyst.
Efrat Aran leads the data team at OurRitual, a startup building a platform for couples therapy. Before joining OurRitual, Efrat was a Product Data Scientist at AI21 Labs, where she helped shape data-driven decisions around large language models and generative AI. Prior to that, she led one of the Product Analyst team at Lightricks for three years. Her journey into tech began at PayPal, where she worked as a fraud analyst.
Amit Bendor
Head of AI & Data Science, Unity
Amit Ben Dor is Head of AI and ML at Unity (Aura), with a track record as an entrepreneur and CTO at several companies. He hosts the podcast "Osim Tochna" ("Making Software"), which has won "Podcast of the Year" four times, and lectures on AI in Israel and around the world.
Amit Ben Dor is Head of AI and ML at Unity (Aura), with a track record as an entrepreneur and CTO at several companies. He hosts the podcast "Osim Tochna" ("Making Software"), which has won "Podcast of the Year" four times, and lectures on AI in Israel and around the world.
Sofie Zilberman
Solutions Architect, Databricks
I design and optimize real-time data pipelines using Apache Flink, Kafka and Apache Iceberg, building fast, reliable, and scalable systems for streaming and streaming analytics. With experience in both streaming and batch processing, I focus on making data workflows efficient, observable, and high-performing. I enjoy solving complex challenges in large-scale data processing, always looking for ways to push the boundaries of performance and reliability. Passionate about Data Lakehouse technologies, I enjoy sharing knowledge through talks, hands-on sessions, and discussions on streaming architectures and real-time analytics frameworks.
I design and optimize real-time data pipelines using Apache Flink, Kafka and Apache Iceberg, building fast, reliable, and scalable systems for streaming and streaming analytics. With experience in both streaming and batch processing, I focus on making data workflows efficient, observable, and high-performing. I enjoy solving complex challenges in large-scale data processing, always looking for ways to push the boundaries of performance and reliability. Passionate about Data Lakehouse technologies, I enjoy sharing knowledge through talks, hands-on sessions, and discussions on streaming architectures and real-time analytics frameworks.
Dotan Mor
Staff Data Platform Engineer, Riskified
Staff Data Engineer at Riskified with two decades of experience in data engineering and architecture. Specializes in scaling robust big data systems and helping teams adopt modern data methodologies to solve complex technical challenges.
Staff Data Engineer at Riskified with two decades of experience in data engineering and architecture. Specializes in scaling robust big data systems and helping teams adopt modern data methodologies to solve complex technical challenges.
Mica Rubinson, PhD
AI & Data Science Manager, Navina
Mica Rubinson is the AI & Data Science Manager at Navina, where she leads the development of AI systems that help physicians extract clinical insights from unstructured medical records. Prior to Navina, Mica led algorithm development at Augury, building AI solutions for industrial diagnostics. She holds a Ph.D. in Physics and Neuroscience from the Weizmann Institute of Science and is an active contributor to the data science community through ongoing mentorship and by co-organizing the DataNights program for data science managers.
Mica Rubinson is the AI & Data Science Manager at Navina, where she leads the development of AI systems that help physicians extract clinical insights from unstructured medical records. Prior to Navina, Mica led algorithm development at Augury, building AI solutions for industrial diagnostics. She holds a Ph.D. in Physics and Neuroscience from the Weizmann Institute of Science and is an active contributor to the data science community through ongoing mentorship and by co-organizing the DataNights program for data science managers.
Alon Agmon
R&D Director, Sheba Medical Center
Alon is an R&D director at the AI Center at Sheba Medical Center, where he leads teams building an agentic operating system for healthcare AI and clinical workflows. He spent the last few years in data engineering and AI — and almost two decades handling exceptions. Intrigued by distributed systems, big data, and AI data architecture, and occasionally contributing to open source.
Alon is an R&D director at the AI Center at Sheba Medical Center, where he leads teams building an agentic operating system for healthcare AI and clinical workflows. He spent the last few years in data engineering and AI — and almost two decades handling exceptions. Intrigued by distributed systems, big data, and AI data architecture, and occasionally contributing to open source.
Omer Ginosar
Data Engineering Lead, Sweet Security
I'm a data engineering leader who has spent the last decade building and scaling data platforms in fast-moving companies. As Head of Data at Wiz, I owned the company-wide data function through the hyper-growth that led to its $32B Google acquisition, scaling it to serve 2,500+ customers across the entire company. Today I lead data engineering at Sweet Security, a runtime CNAPP and AI-security startup. Earlier, at Wix, I was a founding member of the Data Engineering guild and built a customer-facing embedded analytics platform used in one of Wix's products. My focus has stayed constant: making data accessible, trustworthy, and impactful, and building teams and platforms that outlast any single tool or trend.
I'm a data engineering leader who has spent the last decade building and scaling data platforms in fast-moving companies. As Head of Data at Wiz, I owned the company-wide data function through the hyper-growth that led to its $32B Google acquisition, scaling it to serve 2,500+ customers across the entire company. Today I lead data engineering at Sweet Security, a runtime CNAPP and AI-security startup. Earlier, at Wix, I was a founding member of the Data Engineering guild and built a customer-facing embedded analytics platform used in one of Wix's products. My focus has stayed constant: making data accessible, trustworthy, and impactful, and building teams and platforms that outlast any single tool or trend.
Stav Grinboim
Head of Data Analytics, Sola Security
Stav Grinboim is the Head of Data Analytics at Sola Security, a fast-growing B2B cybersecurity SaaS company. Operating as a lean data team of one, she pioneered the use of multi agent AI networks to architect, build, and deploy a complete production data platform in under five months. Her full stack infrastructure includes a Snowflake warehouse, multiple AWS Lambda ETL streams, an internal analytics portal behind Okta SSO, and Elsa, a production-grade AI data assistant serving the entire organization. An analyst by training rather than a software engineer, Stav champions the strategic shift from writing repetitive queries to designing organizational semantics and managing autonomous agentic ecosystems.
Stav Grinboim is the Head of Data Analytics at Sola Security, a fast-growing B2B cybersecurity SaaS company. Operating as a lean data team of one, she pioneered the use of multi agent AI networks to architect, build, and deploy a complete production data platform in under five months. Her full stack infrastructure includes a Snowflake warehouse, multiple AWS Lambda ETL streams, an internal analytics portal behind Okta SSO, and Elsa, a production-grade AI data assistant serving the entire organization. An analyst by training rather than a software engineer, Stav champions the strategic shift from writing repetitive queries to designing organizational semantics and managing autonomous agentic ecosystems.
Ayala Adler
Head of Analytics & BI, Zencity
Programming since I was 16. Co-founded a successful social business in the periphery. Leading the analytics & BI org at Zencity. Created the company's north star metric and led a full refactoring of the data tech stack and data modelling. Community organizer at DykesWhoTech IL, an LGBT women's community.
Programming since I was 16. Co-founded a successful social business in the periphery. Leading the analytics & BI org at Zencity. Created the company's north star metric and led a full refactoring of the data tech stack and data modelling. Community organizer at DykesWhoTech IL, an LGBT women's community.
Itamar Frenkel
Data Science Manager, NVIDIA
Itamar Frenkel is a Data Science manager at NVIDIA, based in Yokneam, Israel, driving AI-powered solutions for hardware engineering and manufacturing. With expertise in machine learning and system engineering, he leads a team pushing the boundaries of AI to improve decision-making and production quality. Previously at Mellanox Technologies (acquired by NVIDIA in 2020), Itamar holds 3 U.S. patents and has been recognized with multiple awards, including NTECH 2024 Best Poster and first-place wins at both NVIDIA and Mellanox hackathons. A University of Haifa graduate, he speaks at industry conferences (INCOSE IL 2024, GTC 2024) and is passionate about building innovative teams and advancing AI in enterprise. He actively recruits top talent and contributes to the data science community.
Itamar Frenkel is a Data Science manager at NVIDIA, based in Yokneam, Israel, driving AI-powered solutions for hardware engineering and manufacturing. With expertise in machine learning and system engineering, he leads a team pushing the boundaries of AI to improve decision-making and production quality. Previously at Mellanox Technologies (acquired by NVIDIA in 2020), Itamar holds 3 U.S. patents and has been recognized with multiple awards, including NTECH 2024 Best Poster and first-place wins at both NVIDIA and Mellanox hackathons. A University of Haifa graduate, he speaks at industry conferences (INCOSE IL 2024, GTC 2024) and is passionate about building innovative teams and advancing AI in enterprise. He actively recruits top talent and contributes to the data science community.
Itay Vegh
Senior Data Scientist, Planck
Itay Vegh is a Senior Data Scientist at Planck (now part of Applied Systems), where he designs and deploys GenAI-powered solutions that reshape commercial-insurance underwriting worldwide. His data journey began in the Israel Defense Forces’ elite Unit 8200, then advanced through roles as a Senior Quantitative Researcher at WorldQuant and a founding data scientist at Loops. Itay holds a B.Sc. in Physics and Computer Science (with distinction) from Tel Aviv University and is passionate about translating cutting-edge research into business impact.
Itay Vegh is a Senior Data Scientist at Planck (now part of Applied Systems), where he designs and deploys GenAI-powered solutions that reshape commercial-insurance underwriting worldwide. His data journey began in the Israel Defense Forces’ elite Unit 8200, then advanced through roles as a Senior Quantitative Researcher at WorldQuant and a founding data scientist at Loops. Itay holds a B.Sc. in Physics and Computer Science (with distinction) from Tel Aviv University and is passionate about translating cutting-edge research into business impact.
Reut Vilek
VP R&D and Product, Plurai
I lead R&D and Product at Plurai, where we build infrastructure for agent simulation, evaluation and optimization. Before that I was CTO at Rupert, building predictive signals and agentic workflows, and led engineering and product at Nexar, where we built a digital twin of the world powered by computer vision. Throughout, I've lived in the overlap between AI, engineering, and product — the one translating between what's technically possible, what's buildable, and what people actually need. What drives me is simplifying the complex: taming hard technical problems on one side, and making things genuinely clear for people on the other.
I lead R&D and Product at Plurai, where we build infrastructure for agent simulation, evaluation and optimization. Before that I was CTO at Rupert, building predictive signals and agentic workflows, and led engineering and product at Nexar, where we built a digital twin of the world powered by computer vision. Throughout, I've lived in the overlap between AI, engineering, and product — the one translating between what's technically possible, what's buildable, and what people actually need. What drives me is simplifying the complex: taming hard technical problems on one side, and making things genuinely clear for people on the other.
Guy Korland, PhD
CEO & Co-Founder, FalkorDB
Guy Korland, PhD in Computer Science from TAU (Tel Aviv University), is the CEO and Co-founder of FalkorDB, where he builds a powerful Graph Database to power Generative AI applications. With a career spanning more than 20 years of experience in the database and software engineering industry, including a previous role as SVP, CTO of Incubation at Redis, Guy’s well-rounded profile brings a balance of R&D, business, and user experience to tech conferences. He aims to make the crowd think beyond the fluff by discussing the good, the bad, and the ugly of the industry.
Guy Korland, PhD in Computer Science from TAU (Tel Aviv University), is the CEO and Co-founder of FalkorDB, where he builds a powerful Graph Database to power Generative AI applications. With a career spanning more than 20 years of experience in the database and software engineering industry, including a previous role as SVP, CTO of Incubation at Redis, Guy’s well-rounded profile brings a balance of R&D, business, and user experience to tech conferences. He aims to make the crowd think beyond the fluff by discussing the good, the bad, and the ugly of the industry.
Liat Lusim
Solutions Architect, AWS
Liat Iusim is a Solutions Architect at AWS, specializing in streaming and real-time analytics. With a background as a Tech Lead and Data Engineer, Liat brings hands-on experience in designing and building highly scalable, distributed data systems. She is passionate about helping organizations harness the power of real-time data, leveraging technologies such as Apache Kafka, Apache Flink, and OpenSearch to solve complex data challenges at scale.
Liat Iusim is a Solutions Architect at AWS, specializing in streaming and real-time analytics. With a background as a Tech Lead and Data Engineer, Liat brings hands-on experience in designing and building highly scalable, distributed data systems. She is passionate about helping organizations harness the power of real-time data, leveraging technologies such as Apache Kafka, Apache Flink, and OpenSearch to solve complex data challenges at scale.
Sapir Hirshberg
Senior Data Product Manager, Wix
Sapir is a Data Product Manager at Wix, responsible for data management and governance across the company’s data platform. She works on the products and workflows that help teams find trusted data, understand how it connects, investigate issues, and keep the warehouse healthy as it scales increasingly through AI agents and skill-based tooling. She’s focused on turning complex platform capabilities into practical, self-serve experiences that save time and keep work accurate.
Sapir is a Data Product Manager at Wix, responsible for data management and governance across the company’s data platform. She works on the products and workflows that help teams find trusted data, understand how it connects, investigate issues, and keep the warehouse healthy as it scales increasingly through AI agents and skill-based tooling. She’s focused on turning complex platform capabilities into practical, self-serve experiences that save time and keep work accurate.
Naveh Talmon Chvaicer
Data Researcher, Island
Naveh Talmon Chvaicer is a Data Researcher at Island, where he delivers data-driven insights and constructs AI solutions for customers and internal teams. Previously a Cyber Security Analyst in the IDF’s Unit 8200, his work involved driving operational advances based on data-backed research, risk assessments and automation of workflows. His current and previous hands-on work with risk scoring, classification models, datasets and self-validating AI pipelines directly inform his talk on the implementation of SLMs in classification tasks.
Naveh Talmon Chvaicer is a Data Researcher at Island, where he delivers data-driven insights and constructs AI solutions for customers and internal teams. Previously a Cyber Security Analyst in the IDF’s Unit 8200, his work involved driving operational advances based on data-backed research, risk assessments and automation of workflows. His current and previous hands-on work with risk scoring, classification models, datasets and self-validating AI pipelines directly inform his talk on the implementation of SLMs in classification tasks.
Noa Shahar
Applied Scientist, Microsoft
Noa Shahar is an Applied Scientist at Microsoft, where she builds production AI systems for educational experiences - bridging state-of-the-art research with real-world products. Her background spans machine learning, optimization, and algorithms, shaped by prior roles as a researcher at Final and a software engineer at Intel. She holds a B.Sc. in Computer Science from the Technion and an M.Sc. in Computer Science from the Weizmann Institute of Science.
Noa Shahar is an Applied Scientist at Microsoft, where she builds production AI systems for educational experiences - bridging state-of-the-art research with real-world products. Her background spans machine learning, optimization, and algorithms, shaped by prior roles as a researcher at Final and a software engineer at Intel. She holds a B.Sc. in Computer Science from the Technion and an M.Sc. in Computer Science from the Weizmann Institute of Science.
Raz Tamir
Senior Data Scientist, monday.com
Raz Tamir is a Senior Data Scientist at monday.com, with previous experience leading data science and AI teams. His work spans the full data science lifecycle: translating business goals into ML, AI, and agentic systems, from research and modeling to deployment, monitoring, and product impact. Raz has built production AI systems across multiple domains, including deep learning for computer vision, time series, agentic workflows, and applied ML. He is passionate about helping teams build AI products with clear evaluation, practical feedback loops, and production-grade discipline
Raz Tamir is a Senior Data Scientist at monday.com, with previous experience leading data science and AI teams. His work spans the full data science lifecycle: translating business goals into ML, AI, and agentic systems, from research and modeling to deployment, monitoring, and product impact. Raz has built production AI systems across multiple domains, including deep learning for computer vision, time series, agentic workflows, and applied ML. He is passionate about helping teams build AI products with clear evaluation, practical feedback loops, and production-grade discipline
Yuval Belfer
Sr. AI Developer Advocate, AI21 Labs
Yuval is a Senior Developer Advocate at AI21 Labs, where he helps engineers go from "it works in the demo" to "it works in production." He hosts the YAAP podcast (Yet Another AI Podcast) and teaches applied GenAI on various programs. His work spans RAG, fine-tuning, agents, and evaluation (or Yuval-uation, if you're nasty).
Yuval is a Senior Developer Advocate at AI21 Labs, where he helps engineers go from "it works in the demo" to "it works in production." He hosts the YAAP podcast (Yet Another AI Podcast) and teaches applied GenAI on various programs. His work spans RAG, fine-tuning, agents, and evaluation (or Yuval-uation, if you're nasty).
Shahar Yarnitzky
Software Engineer, EON
Software engineer with background in HPC, algorithms, and backend development. My day-to-day involves lowering costs for pipelines and conveying those improvements to customers. Currently handling data engineering at EON with an emphasis on optimization.
Software engineer with background in HPC, algorithms, and backend development. My day-to-day involves lowering costs for pipelines and conveying those improvements to customers. Currently handling data engineering at EON with an emphasis on optimization.
Ira Sharlin
Staff PM, Intuit
Ira Sharlin is an AI-native product leader and Staff Product Manager at Intuit, where she leads the fraud and account-takeover detection layer across six QuickBooks money-movement surfaces. She works hands-on with machine learning, agentic workflows, Model Context Protocol integrations, Databricks, and Splunk to connect fragmented risk signals and translate them into measurable decisions. Her career spans fraud systems, identity, payments, chargebacks, and financial trading. Ira previously served as Head of Fraud Systems at 888 and is the co-founder of PM UP, a community of more than 600 product leader
Ira Sharlin is an AI-native product leader and Staff Product Manager at Intuit, where she leads the fraud and account-takeover detection layer across six QuickBooks money-movement surfaces. She works hands-on with machine learning, agentic workflows, Model Context Protocol integrations, Databricks, and Splunk to connect fragmented risk signals and translate them into measurable decisions. Her career spans fraud systems, identity, payments, chargebacks, and financial trading. Ira previously served as Head of Fraud Systems at 888 and is the co-founder of PM UP, a community of more than 600 product leader
Mor Hasson
Senior Product Analyst, Cyera
Over the past year at Cyera, I have been working at the intersection of data and AI product development. As the Product Analytics Lead for Cy, Cyera's conversational AI assistant, I built the product analytics stack from scratch- utilizing LLMs to measure an LLM product where traditional analytics fall short. My role includes developing automated classifiers for session categorization and outcome detection, building quality monitoring pipelines, and conducting deep customer research that directly shapes the product roadmap. Before Cyera, I was Head of Data for Simply Draw at Simply (formerly JoyTunes), where I led data and helped build and scale the product from inception to millions of users. Prior to that, I held data roles at Wix and Check Point.
Over the past year at Cyera, I have been working at the intersection of data and AI product development. As the Product Analytics Lead for Cy, Cyera's conversational AI assistant, I built the product analytics stack from scratch- utilizing LLMs to measure an LLM product where traditional analytics fall short. My role includes developing automated classifiers for session categorization and outcome detection, building quality monitoring pipelines, and conducting deep customer research that directly shapes the product roadmap. Before Cyera, I was Head of Data for Simply Draw at Simply (formerly JoyTunes), where I led data and helped build and scale the product from inception to millions of users. Prior to that, I held data roles at Wix and Check Point.
Dina Bavli
Data Science Specialist, Amdocs
Dina Bavli is a Data Science Specialist and Agentic AI Platform & Adoption Lead at Amdocs, where she works on scaling Agentic AI across engineering organizations and helping teams move from experimentation to production. With 7+ years of experience across ML, NLP, Generative AI, and LLM systems, Dina combines hands-on AI engineering with platform design, debugging, and developer enablement. She has supported 12+ engineering teams in designing, deploying, and operating 30+ AI agents. Dina is an AWSuperstar, international speaker, lecturer, mentor, and technical writer. She is passionate about making complex AI concepts practical, understandable, and actually usable by engineering teams.
Dina Bavli is a Data Science Specialist and Agentic AI Platform & Adoption Lead at Amdocs, where she works on scaling Agentic AI across engineering organizations and helping teams move from experimentation to production. With 7+ years of experience across ML, NLP, Generative AI, and LLM systems, Dina combines hands-on AI engineering with platform design, debugging, and developer enablement. She has supported 12+ engineering teams in designing, deploying, and operating 30+ AI agents. Dina is an AWSuperstar, international speaker, lecturer, mentor, and technical writer. She is passionate about making complex AI concepts practical, understandable, and actually usable by engineering teams.
Yonathan Guttel, PhD
Staff Data Scientist, HoneyBook
Yonathan Guttel is a Data Scientist at HoneyBook, where he works on churn prediction, revenue projection, and LLM evaluation. Prior to that, he held data science roles at Lightricks, Nutrino (acquired by Medtronic) and Gong.io. Yonathan holds a B.Sc. and M.Sc. in Biology and completed doctoral research in the field.
Yonathan Guttel is a Data Scientist at HoneyBook, where he works on churn prediction, revenue projection, and LLM evaluation. Prior to that, he held data science roles at Lightricks, Nutrino (acquired by Medtronic) and Gong.io. Yonathan holds a B.Sc. and M.Sc. in Biology and completed doctoral research in the field.
Noa Baron
Data Engineering Team Lead, Cato Networks
Noa Baron - Staff Engineer at Cato Networks with a big passion for infrastructure. Over the past 5 years she has been working with data and helping data teams to successfully handle the growing amount of data collected from the Cato Cloud. Her work focuses on building the new Cato Data Platform, to ensure it supports the organization growing demand for data in scale and use cases with efficient and cost-effective solutions, all while keeping up with Cato’s growth and achieving outstanding performance.
Noa Baron - Staff Engineer at Cato Networks with a big passion for infrastructure. Over the past 5 years she has been working with data and helping data teams to successfully handle the growing amount of data collected from the Cato Cloud. Her work focuses on building the new Cato Data Platform, to ensure it supports the organization growing demand for data in scale and use cases with efficient and cost-effective solutions, all while keeping up with Cato’s growth and achieving outstanding performance.
Gil Ben-Ami
Data Scientist, Planck
Gil Ben-Ami is a Data Scientist at Planck, an Applied Systems company, where he has spent the past 7 years - the last 4 in data science - growing from building models to building with agents. He has led data science projects in classification, claims, and claim loss-ratio prediction, and developed predictive models that helped improve insurance risk assessment. These days, Gil is all-in on LLM agents and agentic workflows, exploring what happens when a data scientist trades writing code for orchestrating a fleet of AI agents that can research, experiment, and evaluate on their own.
Gil Ben-Ami is a Data Scientist at Planck, an Applied Systems company, where he has spent the past 7 years - the last 4 in data science - growing from building models to building with agents. He has led data science projects in classification, claims, and claim loss-ratio prediction, and developed predictive models that helped improve insurance risk assessment. These days, Gil is all-in on LLM agents and agentic workflows, exploring what happens when a data scientist trades writing code for orchestrating a fleet of AI agents that can research, experiment, and evaluate on their own.
Avichay Marciano
Senior Solutions Architect, AWS
Senior Analytics Specialist Solutions Architect at AWS, focused on streaming, batch processing, and database workloads, with 13 years of hands-on experience designing and building distributed data systems. Contributor to various OSS projects, including Apache Flink Agents.
Senior Analytics Specialist Solutions Architect at AWS, focused on streaming, batch processing, and database workloads, with 13 years of hands-on experience designing and building distributed data systems. Contributor to various OSS projects, including Apache Flink Agents.
Eden Fattal
Data Engineering Team Lead, Wix
Eden is a Data Engineering Team Leader with over a decade of experience across the data industry, from hands-on analytics to data engineering leadership. Today, she leads a team in Wix’s Core Data Engineering Guild, working on data warehouse foundations, governance, and internal tooling that help data engineers build trusted data assets.
Eden is a Data Engineering Team Leader with over a decade of experience across the data industry, from hands-on analytics to data engineering leadership. Today, she leads a team in Wix’s Core Data Engineering Guild, working on data warehouse foundations, governance, and internal tooling that help data engineers build trusted data assets.
Maya Malamud
Principal Consultant and Founder, Malamud AI Advisory
Maya Malamud is a Healthcare AI Consultant and the Founder of Malamud AI Advisory, specializing in trustworthy AI, clinical NLP, and cascading pipeline architecture for HealthTech startups. With over a decade in machine learning and data science, she spends her days making sure AI systems are production-ready, auditable, and reliable before they reach patients - and her research asks what happens when the training data itself is the problem.
Maya Malamud is a Healthcare AI Consultant and the Founder of Malamud AI Advisory, specializing in trustworthy AI, clinical NLP, and cascading pipeline architecture for HealthTech startups. With over a decade in machine learning and data science, she spends her days making sure AI systems are production-ready, auditable, and reliable before they reach patients - and her research asks what happens when the training data itself is the problem.
Liad Hazoot
Founder Engineering Team Lead, Matia
I’m Liad Hazoot, a former professional national track & field jumper and a team tead at Matia, with 10 years of experience in software and data engineering. I specialize in building DataOps platforms and production-grade data infrastructure, enabling reliable, high-scale ETL and reverse ETL workflows across modern data warehouses. I spend most of my time tackling the unglamorous but critical challenge of making data pipelines trustworthy, scalable, and resilient in production environments.
I’m Liad Hazoot, a former professional national track & field jumper and a team tead at Matia, with 10 years of experience in software and data engineering. I specialize in building DataOps platforms and production-grade data infrastructure, enabling reliable, high-scale ETL and reverse ETL workflows across modern data warehouses. I spend most of my time tackling the unglamorous but critical challenge of making data pipelines trustworthy, scalable, and resilient in production environments.
Maya Caspi Schliesser
Data & Measurement Specialist, Google
I'm a data person who came through an unusual door. I started out as a designer, became a Co-Founder and CMO of a startup, ran growth teams at Loops and Voyantis, led data technology at SWC Consulting, and somehow ended up at Google as a Data and Measurement Specialist, working with advertisers on the infrastructure that connects their data to the algorithms running their campaigns. Along the way I've sat on every side of the measurement problem: the person building the pipelines, the person explaining why the numbers don't match, and the person who needs them to make a business decision by Thursday.
I'm a data person who came through an unusual door. I started out as a designer, became a Co-Founder and CMO of a startup, ran growth teams at Loops and Voyantis, led data technology at SWC Consulting, and somehow ended up at Google as a Data and Measurement Specialist, working with advertisers on the infrastructure that connects their data to the algorithms running their campaigns. Along the way I've sat on every side of the measurement problem: the person building the pipelines, the person explaining why the numbers don't match, and the person who needs them to make a business decision by Thursday.
Orit Mansur
Data Engineering Manager, Riskified
Orit is a Data Engineering Team Leader at Riskified and has over 10 years of experience in the data industry. As a data specialist, she is passionate about data, technology, business, and people. Her main expertise is in data modeling, analytics, and data visualization. She sees a big part in her role in mentoring and out-of-the-box thinking.
Orit is a Data Engineering Team Leader at Riskified and has over 10 years of experience in the data industry. As a data specialist, she is passionate about data, technology, business, and people. Her main expertise is in data modeling, analytics, and data visualization. She sees a big part in her role in mentoring and out-of-the-box thinking.
Ben Zagagy
Fullstack Tech Lead, Regulus
Today, I serve as a Fullstack Tech Lead at Regulus. Prior to this, I acted as a Solutions Architect and Tech Lead at Monday.com, and before that four years as a Tech Lead and Architect at Shutterfly. I bring 18 years of development experience, including three years as a hands-on team leader and four years as a software architect. I hold both a B.Sc. and an M.Sc. in Computer Science, and I have extensive experience building infrastructure and UI systems, with a deep understanding of diverse technologies and the full development lifecycle. I’m a forward-thinking, vision-driven professional with strong technical expertise, excellent communication skills, and a relentless drive to succeed.
Today, I serve as a Fullstack Tech Lead at Regulus. Prior to this, I acted as a Solutions Architect and Tech Lead at Monday.com, and before that four years as a Tech Lead and Architect at Shutterfly. I bring 18 years of development experience, including three years as a hands-on team leader and four years as a software architect. I hold both a B.Sc. and an M.Sc. in Computer Science, and I have extensive experience building infrastructure and UI systems, with a deep understanding of diverse technologies and the full development lifecycle. I’m a forward-thinking, vision-driven professional with strong technical expertise, excellent communication skills, and a relentless drive to succeed.
Tal Avraham
Senior Data Analyst, Grip Security
Tal Avraham is an Industrial and Management Engineer (B.Sc., Ben-Gurion University) with over six years of experience in data analytics. After four years as a Data Analyst in Check Point's R&D organization, she joined Grip Security, where she is now a Senior Data Analyst. In a startup environment, her role combines analytics and data engineering—from SQL and dbt modeling to product analysis, monitoring, and cross-functional collaboration. She enjoys bridging the gap between product, engineering, and analytics to build reliable data solutions for fast-moving teams.
Tal Avraham is an Industrial and Management Engineer (B.Sc., Ben-Gurion University) with over six years of experience in data analytics. After four years as a Data Analyst in Check Point's R&D organization, she joined Grip Security, where she is now a Senior Data Analyst. In a startup environment, her role combines analytics and data engineering—from SQL and dbt modeling to product analysis, monitoring, and cross-functional collaboration. She enjoys bridging the gap between product, engineering, and analytics to build reliable data solutions for fast-moving teams.
Tomer Yaniv
Head of AI, SNF AI
Over 20 years of experience as a data scientist - both hands on and leading teams. Currently leading the AI in snfai company which utilizes AI in extracting and leveraging information from unstructured textual medical documents. I have an experience in NLP, Deep NNs, classic ML, graph theory, optimization ,tabular data etc... in leading AI roles in different companies: Playtika, Riskified to name few.
Over 20 years of experience as a data scientist - both hands on and leading teams. Currently leading the AI in snfai company which utilizes AI in extracting and leveraging information from unstructured textual medical documents. I have an experience in NLP, Deep NNs, classic ML, graph theory, optimization ,tabular data etc... in leading AI roles in different companies: Playtika, Riskified to name few.
Ronnie Weinbach
Founding Data Analyst, Modus
I am the Founding Data Analyst at Modus, where I focus on solving the "context problem" for AI data agents. With 10 years of experience as a Data Analyst - including 6 years specializing in Product Analytics - I love turning messy data into actionable products. My background in Cognitive Sciences and Social Psychology heavily shapes how I approach mentoring and onboarding both human analysts and AI.
I am the Founding Data Analyst at Modus, where I focus on solving the "context problem" for AI data agents. With 10 years of experience as a Data Analyst - including 6 years specializing in Product Analytics - I love turning messy data into actionable products. My background in Cognitive Sciences and Social Psychology heavily shapes how I approach mentoring and onboarding both human analysts and AI.
Dafna Friedman
AI PM and Data Analyst, Arito
A data professional and AI PM with over ten years of experience making sense of complex systems - from algorithmic and agentic products to Neuroscience research. Currently building agentic AI products at Arito. Also leads a senior AI Analytics group at TechGym.
A data professional and AI PM with over ten years of experience making sense of complex systems - from algorithmic and agentic products to Neuroscience research. Currently building agentic AI products at Arito. Also leads a senior AI Analytics group at TechGym.
Maor Grushko
AI Backend Tech Lead, FINQ
As AI Backend Tech Lead at FINQ, I focus on turning AI ideas into reliable production systems, from training pipelines to scalable backend infrastructure. I enjoy solving practical engineering challenges, optimizing algorithms, sharing knowledge through technical lectures and TechGym, and helping teams build better AI products.
As AI Backend Tech Lead at FINQ, I focus on turning AI ideas into reliable production systems, from training pipelines to scalable backend infrastructure. I enjoy solving practical engineering challenges, optimizing algorithms, sharing knowledge through technical lectures and TechGym, and helping teams build better AI products.
Hila Sagges
Senior Director, Generative Data Lab, Teads
Hila Sagges is Senior Director of the Generative Data Lab at Teads, an AI-first unit rethinking how organizations generate, deliver, and act on data as the driver of the business. She built the Insights Hub - a production data product that delivers analytical insights across the organization, from the C-suite to operational teams, on a cadence. Coming from an analytics background, building the product analytics group at Outbrain and leading both product and business demand-side analytics, she works at the seam where data, product, and engineering meet, turning deep analysis processes that don't scale into products that do.
Hila Sagges is Senior Director of the Generative Data Lab at Teads, an AI-first unit rethinking how organizations generate, deliver, and act on data as the driver of the business. She built the Insights Hub - a production data product that delivers analytical insights across the organization, from the C-suite to operational teams, on a cadence. Coming from an analytics background, building the product analytics group at Outbrain and leading both product and business demand-side analytics, she works at the seam where data, product, and engineering meet, turning deep analysis processes that don't scale into products that do.
Guy Raz
Senior Data Product Manager, Boomi
I am a Senior Product Manager at Boomi, working on data integration products. I have spent the last several years building the layers behind data products: the connectors that bring data in, the engines that make analytics work, and the performance capabilities that make them usable at scale. At Sisense, I worked on analytics platform capabilities including connectors, analytical engine work and multi-tenancy. At Starburst, I focused on query performance and acceleration for large-scale analytics. Today at Boomi, I work on data integration products that help organizations connect and manage data across systems.
I am a Senior Product Manager at Boomi, working on data integration products. I have spent the last several years building the layers behind data products: the connectors that bring data in, the engines that make analytics work, and the performance capabilities that make them usable at scale. At Sisense, I worked on analytics platform capabilities including connectors, analytical engine work and multi-tenancy. At Starburst, I focused on query performance and acceleration for large-scale analytics. Today at Boomi, I work on data integration products that help organizations connect and manage data across systems.
Shiran Golan
Machine Learning Scientist, Booking.com
Shiran Golan is a Senior Machine Learning Scientist at Booking.com, specializing in NLP and LLM applications. She has over 10 years of experience in machine learning and AI across multiple industries, with expertise in building practical AI systems for real-world applications at scale.
Shiran Golan is a Senior Machine Learning Scientist at Booking.com, specializing in NLP and LLM applications. She has over 10 years of experience in machine learning and AI across multiple industries, with expertise in building practical AI systems for real-world applications at scale.
Haim Moscovici
Data Analytics Tech Lead, WSC Sports
I Hold a B.Sc. in Industrial Engineering and Management from Ben-Gurion University. I Began my career at Taboola, working for 2.5 years in product-related roles. For the past 4.5 years, I have been at WSC Sports, and led the company’s Direct-to-Fan product line from its inception to strategic growth.
I Hold a B.Sc. in Industrial Engineering and Management from Ben-Gurion University. I Began my career at Taboola, working for 2.5 years in product-related roles. For the past 4.5 years, I have been at WSC Sports, and led the company’s Direct-to-Fan product line from its inception to strategic growth.
Noa Radin
Staff Data Scientist, HoneyBook
Noa Radin is a Data Scientist at HoneyBook, where she works on improving user onboarding and product experience. Prior to that, she led a data science team at ThetaRay, designing anomaly detection solutions for global banks and fintechs. Noa holds an M.Sc. in Data Science and Engineering from Ben-Gurion University.
Noa Radin is a Data Scientist at HoneyBook, where she works on improving user onboarding and product experience. Prior to that, she led a data science team at ThetaRay, designing anomaly detection solutions for global banks and fintechs. Noa holds an M.Sc. in Data Science and Engineering from Ben-Gurion University.
Yonatan Dolan
Solutions Architect, ClickHouse
Formerly led AWS Big Data & Analytics business development in Israel. Today, I work hands-on with customers to design scalable, high-performance analytics architectures and turn complex data requirements into production-ready solutions. Public speaker with experience in talks at Meetups, AWS summit, DataTLV and other.
Formerly led AWS Big Data & Analytics business development in Israel. Today, I work hands-on with customers to design scalable, high-performance analytics architectures and turn complex data requirements into production-ready solutions. Public speaker with experience in talks at Meetups, AWS summit, DataTLV and other.
Efrat Aran
Head of Data, OurRitual
Efrat Aran leads the data team at OurRitual, a startup building a platform for couples therapy. Before joining OurRitual, Efrat was a Product Data Scientist at AI21 Labs, where she helped shape data-driven decisions around large language models and generative AI. Prior to that, she led one of the Product Analyst team at Lightricks for three years. Her journey into tech began at PayPal, where she worked as a fraud analyst.
Efrat Aran leads the data team at OurRitual, a startup building a platform for couples therapy. Before joining OurRitual, Efrat was a Product Data Scientist at AI21 Labs, where she helped shape data-driven decisions around large language models and generative AI. Prior to that, she led one of the Product Analyst team at Lightricks for three years. Her journey into tech began at PayPal, where she worked as a fraud analyst.
Amit Bendor
Head of AI & Data Science, Unity
Amit Ben Dor is Head of AI and ML at Unity (Aura), with a track record as an entrepreneur and CTO at several companies. He hosts the podcast "Osim Tochna" ("Making Software"), which has won "Podcast of the Year" four times, and lectures on AI in Israel and around the world.
Amit Ben Dor is Head of AI and ML at Unity (Aura), with a track record as an entrepreneur and CTO at several companies. He hosts the podcast "Osim Tochna" ("Making Software"), which has won "Podcast of the Year" four times, and lectures on AI in Israel and around the world.
Sofie Zilberman
Solutions Architect, Databricks
I design and optimize real-time data pipelines using Apache Flink, Kafka and Apache Iceberg, building fast, reliable, and scalable systems for streaming and streaming analytics. With experience in both streaming and batch processing, I focus on making data workflows efficient, observable, and high-performing. I enjoy solving complex challenges in large-scale data processing, always looking for ways to push the boundaries of performance and reliability. Passionate about Data Lakehouse technologies, I enjoy sharing knowledge through talks, hands-on sessions, and discussions on streaming architectures and real-time analytics frameworks.
I design and optimize real-time data pipelines using Apache Flink, Kafka and Apache Iceberg, building fast, reliable, and scalable systems for streaming and streaming analytics. With experience in both streaming and batch processing, I focus on making data workflows efficient, observable, and high-performing. I enjoy solving complex challenges in large-scale data processing, always looking for ways to push the boundaries of performance and reliability. Passionate about Data Lakehouse technologies, I enjoy sharing knowledge through talks, hands-on sessions, and discussions on streaming architectures and real-time analytics frameworks.
Dotan Mor
Staff Data Platform Engineer, Riskified
Staff Data Engineer at Riskified with two decades of experience in data engineering and architecture. Specializes in scaling robust big data systems and helping teams adopt modern data methodologies to solve complex technical challenges.
Staff Data Engineer at Riskified with two decades of experience in data engineering and architecture. Specializes in scaling robust big data systems and helping teams adopt modern data methodologies to solve complex technical challenges.
Mica Rubinson, PhD
AI & Data Science Manager, Navina
Mica Rubinson is the AI & Data Science Manager at Navina, where she leads the development of AI systems that help physicians extract clinical insights from unstructured medical records. Prior to Navina, Mica led algorithm development at Augury, building AI solutions for industrial diagnostics. She holds a Ph.D. in Physics and Neuroscience from the Weizmann Institute of Science and is an active contributor to the data science community through ongoing mentorship and by co-organizing the DataNights program for data science managers.
Mica Rubinson is the AI & Data Science Manager at Navina, where she leads the development of AI systems that help physicians extract clinical insights from unstructured medical records. Prior to Navina, Mica led algorithm development at Augury, building AI solutions for industrial diagnostics. She holds a Ph.D. in Physics and Neuroscience from the Weizmann Institute of Science and is an active contributor to the data science community through ongoing mentorship and by co-organizing the DataNights program for data science managers.
Alon Agmon
R&D Director, Sheba Medical Center
Alon is an R&D director at the AI Center at Sheba Medical Center, where he leads teams building an agentic operating system for healthcare AI and clinical workflows. He spent the last few years in data engineering and AI — and almost two decades handling exceptions. Intrigued by distributed systems, big data, and AI data architecture, and occasionally contributing to open source.
Alon is an R&D director at the AI Center at Sheba Medical Center, where he leads teams building an agentic operating system for healthcare AI and clinical workflows. He spent the last few years in data engineering and AI — and almost two decades handling exceptions. Intrigued by distributed systems, big data, and AI data architecture, and occasionally contributing to open source.
Omer Ginosar
Data Engineering Lead, Sweet Security
I'm a data engineering leader who has spent the last decade building and scaling data platforms in fast-moving companies. As Head of Data at Wiz, I owned the company-wide data function through the hyper-growth that led to its $32B Google acquisition, scaling it to serve 2,500+ customers across the entire company. Today I lead data engineering at Sweet Security, a runtime CNAPP and AI-security startup. Earlier, at Wix, I was a founding member of the Data Engineering guild and built a customer-facing embedded analytics platform used in one of Wix's products. My focus has stayed constant: making data accessible, trustworthy, and impactful, and building teams and platforms that outlast any single tool or trend.
I'm a data engineering leader who has spent the last decade building and scaling data platforms in fast-moving companies. As Head of Data at Wiz, I owned the company-wide data function through the hyper-growth that led to its $32B Google acquisition, scaling it to serve 2,500+ customers across the entire company. Today I lead data engineering at Sweet Security, a runtime CNAPP and AI-security startup. Earlier, at Wix, I was a founding member of the Data Engineering guild and built a customer-facing embedded analytics platform used in one of Wix's products. My focus has stayed constant: making data accessible, trustworthy, and impactful, and building teams and platforms that outlast any single tool or trend.
Stav Grinboim
Head of Data Analytics, Sola Security
Stav Grinboim is the Head of Data Analytics at Sola Security, a fast-growing B2B cybersecurity SaaS company. Operating as a lean data team of one, she pioneered the use of multi agent AI networks to architect, build, and deploy a complete production data platform in under five months. Her full stack infrastructure includes a Snowflake warehouse, multiple AWS Lambda ETL streams, an internal analytics portal behind Okta SSO, and Elsa, a production-grade AI data assistant serving the entire organization. An analyst by training rather than a software engineer, Stav champions the strategic shift from writing repetitive queries to designing organizational semantics and managing autonomous agentic ecosystems.
Stav Grinboim is the Head of Data Analytics at Sola Security, a fast-growing B2B cybersecurity SaaS company. Operating as a lean data team of one, she pioneered the use of multi agent AI networks to architect, build, and deploy a complete production data platform in under five months. Her full stack infrastructure includes a Snowflake warehouse, multiple AWS Lambda ETL streams, an internal analytics portal behind Okta SSO, and Elsa, a production-grade AI data assistant serving the entire organization. An analyst by training rather than a software engineer, Stav champions the strategic shift from writing repetitive queries to designing organizational semantics and managing autonomous agentic ecosystems.
Ayala Adler
Head of Analytics & BI, Zencity
Programming since I was 16. Co-founded a successful social business in the periphery. Leading the analytics & BI org at Zencity. Created the company's north star metric and led a full refactoring of the data tech stack and data modelling. Community organizer at DykesWhoTech IL, an LGBT women's community.
Programming since I was 16. Co-founded a successful social business in the periphery. Leading the analytics & BI org at Zencity. Created the company's north star metric and led a full refactoring of the data tech stack and data modelling. Community organizer at DykesWhoTech IL, an LGBT women's community.
Itamar Frenkel
Data Science Manager, NVIDIA
Itamar Frenkel is a Data Science manager at NVIDIA, based in Yokneam, Israel, driving AI-powered solutions for hardware engineering and manufacturing. With expertise in machine learning and system engineering, he leads a team pushing the boundaries of AI to improve decision-making and production quality. Previously at Mellanox Technologies (acquired by NVIDIA in 2020), Itamar holds 3 U.S. patents and has been recognized with multiple awards, including NTECH 2024 Best Poster and first-place wins at both NVIDIA and Mellanox hackathons. A University of Haifa graduate, he speaks at industry conferences (INCOSE IL 2024, GTC 2024) and is passionate about building innovative teams and advancing AI in enterprise. He actively recruits top talent and contributes to the data science community.
Itamar Frenkel is a Data Science manager at NVIDIA, based in Yokneam, Israel, driving AI-powered solutions for hardware engineering and manufacturing. With expertise in machine learning and system engineering, he leads a team pushing the boundaries of AI to improve decision-making and production quality. Previously at Mellanox Technologies (acquired by NVIDIA in 2020), Itamar holds 3 U.S. patents and has been recognized with multiple awards, including NTECH 2024 Best Poster and first-place wins at both NVIDIA and Mellanox hackathons. A University of Haifa graduate, he speaks at industry conferences (INCOSE IL 2024, GTC 2024) and is passionate about building innovative teams and advancing AI in enterprise. He actively recruits top talent and contributes to the data science community.
Itay Vegh
Senior Data Scientist, Planck
Itay Vegh is a Senior Data Scientist at Planck (now part of Applied Systems), where he designs and deploys GenAI-powered solutions that reshape commercial-insurance underwriting worldwide. His data journey began in the Israel Defense Forces’ elite Unit 8200, then advanced through roles as a Senior Quantitative Researcher at WorldQuant and a founding data scientist at Loops. Itay holds a B.Sc. in Physics and Computer Science (with distinction) from Tel Aviv University and is passionate about translating cutting-edge research into business impact.
Itay Vegh is a Senior Data Scientist at Planck (now part of Applied Systems), where he designs and deploys GenAI-powered solutions that reshape commercial-insurance underwriting worldwide. His data journey began in the Israel Defense Forces’ elite Unit 8200, then advanced through roles as a Senior Quantitative Researcher at WorldQuant and a founding data scientist at Loops. Itay holds a B.Sc. in Physics and Computer Science (with distinction) from Tel Aviv University and is passionate about translating cutting-edge research into business impact.
Reut Vilek
VP R&D and Product, Plurai
I lead R&D and Product at Plurai, where we build infrastructure for agent simulation, evaluation and optimization. Before that I was CTO at Rupert, building predictive signals and agentic workflows, and led engineering and product at Nexar, where we built a digital twin of the world powered by computer vision. Throughout, I've lived in the overlap between AI, engineering, and product — the one translating between what's technically possible, what's buildable, and what people actually need. What drives me is simplifying the complex: taming hard technical problems on one side, and making things genuinely clear for people on the other.
I lead R&D and Product at Plurai, where we build infrastructure for agent simulation, evaluation and optimization. Before that I was CTO at Rupert, building predictive signals and agentic workflows, and led engineering and product at Nexar, where we built a digital twin of the world powered by computer vision. Throughout, I've lived in the overlap between AI, engineering, and product — the one translating between what's technically possible, what's buildable, and what people actually need. What drives me is simplifying the complex: taming hard technical problems on one side, and making things genuinely clear for people on the other.
Guy Korland, PhD
CEO & Co-Founder, FalkorDB
Guy Korland, PhD in Computer Science from TAU (Tel Aviv University), is the CEO and Co-founder of FalkorDB, where he builds a powerful Graph Database to power Generative AI applications. With a career spanning more than 20 years of experience in the database and software engineering industry, including a previous role as SVP, CTO of Incubation at Redis, Guy’s well-rounded profile brings a balance of R&D, business, and user experience to tech conferences. He aims to make the crowd think beyond the fluff by discussing the good, the bad, and the ugly of the industry.
Guy Korland, PhD in Computer Science from TAU (Tel Aviv University), is the CEO and Co-founder of FalkorDB, where he builds a powerful Graph Database to power Generative AI applications. With a career spanning more than 20 years of experience in the database and software engineering industry, including a previous role as SVP, CTO of Incubation at Redis, Guy’s well-rounded profile brings a balance of R&D, business, and user experience to tech conferences. He aims to make the crowd think beyond the fluff by discussing the good, the bad, and the ugly of the industry.
Liat Lusim
Solutions Architect, AWS
Liat Iusim is a Solutions Architect at AWS, specializing in streaming and real-time analytics. With a background as a Tech Lead and Data Engineer, Liat brings hands-on experience in designing and building highly scalable, distributed data systems. She is passionate about helping organizations harness the power of real-time data, leveraging technologies such as Apache Kafka, Apache Flink, and OpenSearch to solve complex data challenges at scale.
Liat Iusim is a Solutions Architect at AWS, specializing in streaming and real-time analytics. With a background as a Tech Lead and Data Engineer, Liat brings hands-on experience in designing and building highly scalable, distributed data systems. She is passionate about helping organizations harness the power of real-time data, leveraging technologies such as Apache Kafka, Apache Flink, and OpenSearch to solve complex data challenges at scale.
Sapir Hirshberg
Senior Data Product Manager, Wix
Sapir is a Data Product Manager at Wix, responsible for data management and governance across the company’s data platform. She works on the products and workflows that help teams find trusted data, understand how it connects, investigate issues, and keep the warehouse healthy as it scales increasingly through AI agents and skill-based tooling. She’s focused on turning complex platform capabilities into practical, self-serve experiences that save time and keep work accurate.
Sapir is a Data Product Manager at Wix, responsible for data management and governance across the company’s data platform. She works on the products and workflows that help teams find trusted data, understand how it connects, investigate issues, and keep the warehouse healthy as it scales increasingly through AI agents and skill-based tooling. She’s focused on turning complex platform capabilities into practical, self-serve experiences that save time and keep work accurate.
Naveh Talmon Chvaicer
Data Researcher, Island
Naveh Talmon Chvaicer is a Data Researcher at Island, where he delivers data-driven insights and constructs AI solutions for customers and internal teams. Previously a Cyber Security Analyst in the IDF’s Unit 8200, his work involved driving operational advances based on data-backed research, risk assessments and automation of workflows. His current and previous hands-on work with risk scoring, classification models, datasets and self-validating AI pipelines directly inform his talk on the implementation of SLMs in classification tasks.
Naveh Talmon Chvaicer is a Data Researcher at Island, where he delivers data-driven insights and constructs AI solutions for customers and internal teams. Previously a Cyber Security Analyst in the IDF’s Unit 8200, his work involved driving operational advances based on data-backed research, risk assessments and automation of workflows. His current and previous hands-on work with risk scoring, classification models, datasets and self-validating AI pipelines directly inform his talk on the implementation of SLMs in classification tasks.
Noa Shahar
Applied Scientist, Microsoft
Noa Shahar is an Applied Scientist at Microsoft, where she builds production AI systems for educational experiences - bridging state-of-the-art research with real-world products. Her background spans machine learning, optimization, and algorithms, shaped by prior roles as a researcher at Final and a software engineer at Intel. She holds a B.Sc. in Computer Science from the Technion and an M.Sc. in Computer Science from the Weizmann Institute of Science.
Noa Shahar is an Applied Scientist at Microsoft, where she builds production AI systems for educational experiences - bridging state-of-the-art research with real-world products. Her background spans machine learning, optimization, and algorithms, shaped by prior roles as a researcher at Final and a software engineer at Intel. She holds a B.Sc. in Computer Science from the Technion and an M.Sc. in Computer Science from the Weizmann Institute of Science.
Raz Tamir
Senior Data Scientist, monday.com
Raz Tamir is a Senior Data Scientist at monday.com, with previous experience leading data science and AI teams. His work spans the full data science lifecycle: translating business goals into ML, AI, and agentic systems, from research and modeling to deployment, monitoring, and product impact. Raz has built production AI systems across multiple domains, including deep learning for computer vision, time series, agentic workflows, and applied ML. He is passionate about helping teams build AI products with clear evaluation, practical feedback loops, and production-grade discipline
Raz Tamir is a Senior Data Scientist at monday.com, with previous experience leading data science and AI teams. His work spans the full data science lifecycle: translating business goals into ML, AI, and agentic systems, from research and modeling to deployment, monitoring, and product impact. Raz has built production AI systems across multiple domains, including deep learning for computer vision, time series, agentic workflows, and applied ML. He is passionate about helping teams build AI products with clear evaluation, practical feedback loops, and production-grade discipline
Yuval Belfer
Sr. AI Developer Advocate, AI21 Labs
Yuval is a Senior Developer Advocate at AI21 Labs, where he helps engineers go from "it works in the demo" to "it works in production." He hosts the YAAP podcast (Yet Another AI Podcast) and teaches applied GenAI on various programs. His work spans RAG, fine-tuning, agents, and evaluation (or Yuval-uation, if you're nasty).
Yuval is a Senior Developer Advocate at AI21 Labs, where he helps engineers go from "it works in the demo" to "it works in production." He hosts the YAAP podcast (Yet Another AI Podcast) and teaches applied GenAI on various programs. His work spans RAG, fine-tuning, agents, and evaluation (or Yuval-uation, if you're nasty).
Shahar Yarnitzky
Software Engineer, EON
Software engineer with background in HPC, algorithms, and backend development. My day-to-day involves lowering costs for pipelines and conveying those improvements to customers. Currently handling data engineering at EON with an emphasis on optimization.
Software engineer with background in HPC, algorithms, and backend development. My day-to-day involves lowering costs for pipelines and conveying those improvements to customers. Currently handling data engineering at EON with an emphasis on optimization.
Ira Sharlin
Staff PM, Intuit
Ira Sharlin is an AI-native product leader and Staff Product Manager at Intuit, where she leads the fraud and account-takeover detection layer across six QuickBooks money-movement surfaces. She works hands-on with machine learning, agentic workflows, Model Context Protocol integrations, Databricks, and Splunk to connect fragmented risk signals and translate them into measurable decisions. Her career spans fraud systems, identity, payments, chargebacks, and financial trading. Ira previously served as Head of Fraud Systems at 888 and is the co-founder of PM UP, a community of more than 600 product leader
Ira Sharlin is an AI-native product leader and Staff Product Manager at Intuit, where she leads the fraud and account-takeover detection layer across six QuickBooks money-movement surfaces. She works hands-on with machine learning, agentic workflows, Model Context Protocol integrations, Databricks, and Splunk to connect fragmented risk signals and translate them into measurable decisions. Her career spans fraud systems, identity, payments, chargebacks, and financial trading. Ira previously served as Head of Fraud Systems at 888 and is the co-founder of PM UP, a community of more than 600 product leader
Mor Hasson
Senior Product Analyst, Cyera
Over the past year at Cyera, I have been working at the intersection of data and AI product development. As the Product Analytics Lead for Cy, Cyera's conversational AI assistant, I built the product analytics stack from scratch- utilizing LLMs to measure an LLM product where traditional analytics fall short. My role includes developing automated classifiers for session categorization and outcome detection, building quality monitoring pipelines, and conducting deep customer research that directly shapes the product roadmap. Before Cyera, I was Head of Data for Simply Draw at Simply (formerly JoyTunes), where I led data and helped build and scale the product from inception to millions of users. Prior to that, I held data roles at Wix and Check Point.
Over the past year at Cyera, I have been working at the intersection of data and AI product development. As the Product Analytics Lead for Cy, Cyera's conversational AI assistant, I built the product analytics stack from scratch- utilizing LLMs to measure an LLM product where traditional analytics fall short. My role includes developing automated classifiers for session categorization and outcome detection, building quality monitoring pipelines, and conducting deep customer research that directly shapes the product roadmap. Before Cyera, I was Head of Data for Simply Draw at Simply (formerly JoyTunes), where I led data and helped build and scale the product from inception to millions of users. Prior to that, I held data roles at Wix and Check Point.
Dina Bavli
Data Science Specialist, Amdocs
Dina Bavli is a Data Science Specialist and Agentic AI Platform & Adoption Lead at Amdocs, where she works on scaling Agentic AI across engineering organizations and helping teams move from experimentation to production. With 7+ years of experience across ML, NLP, Generative AI, and LLM systems, Dina combines hands-on AI engineering with platform design, debugging, and developer enablement. She has supported 12+ engineering teams in designing, deploying, and operating 30+ AI agents. Dina is an AWSuperstar, international speaker, lecturer, mentor, and technical writer. She is passionate about making complex AI concepts practical, understandable, and actually usable by engineering teams.
Dina Bavli is a Data Science Specialist and Agentic AI Platform & Adoption Lead at Amdocs, where she works on scaling Agentic AI across engineering organizations and helping teams move from experimentation to production. With 7+ years of experience across ML, NLP, Generative AI, and LLM systems, Dina combines hands-on AI engineering with platform design, debugging, and developer enablement. She has supported 12+ engineering teams in designing, deploying, and operating 30+ AI agents. Dina is an AWSuperstar, international speaker, lecturer, mentor, and technical writer. She is passionate about making complex AI concepts practical, understandable, and actually usable by engineering teams.
Yonathan Guttel, PhD
Staff Data Scientist, HoneyBook
Yonathan Guttel is a Data Scientist at HoneyBook, where he works on churn prediction, revenue projection, and LLM evaluation. Prior to that, he held data science roles at Lightricks, Nutrino (acquired by Medtronic) and Gong.io. Yonathan holds a B.Sc. and M.Sc. in Biology and completed doctoral research in the field.
Yonathan Guttel is a Data Scientist at HoneyBook, where he works on churn prediction, revenue projection, and LLM evaluation. Prior to that, he held data science roles at Lightricks, Nutrino (acquired by Medtronic) and Gong.io. Yonathan holds a B.Sc. and M.Sc. in Biology and completed doctoral research in the field.
Noa Baron
Data Engineering Team Lead, Cato Networks
Noa Baron - Staff Engineer at Cato Networks with a big passion for infrastructure. Over the past 5 years she has been working with data and helping data teams to successfully handle the growing amount of data collected from the Cato Cloud. Her work focuses on building the new Cato Data Platform, to ensure it supports the organization growing demand for data in scale and use cases with efficient and cost-effective solutions, all while keeping up with Cato’s growth and achieving outstanding performance.
Noa Baron - Staff Engineer at Cato Networks with a big passion for infrastructure. Over the past 5 years she has been working with data and helping data teams to successfully handle the growing amount of data collected from the Cato Cloud. Her work focuses on building the new Cato Data Platform, to ensure it supports the organization growing demand for data in scale and use cases with efficient and cost-effective solutions, all while keeping up with Cato’s growth and achieving outstanding performance.
Gil Ben-Ami
Data Scientist, Planck
Gil Ben-Ami is a Data Scientist at Planck, an Applied Systems company, where he has spent the past 7 years - the last 4 in data science - growing from building models to building with agents. He has led data science projects in classification, claims, and claim loss-ratio prediction, and developed predictive models that helped improve insurance risk assessment. These days, Gil is all-in on LLM agents and agentic workflows, exploring what happens when a data scientist trades writing code for orchestrating a fleet of AI agents that can research, experiment, and evaluate on their own.
Gil Ben-Ami is a Data Scientist at Planck, an Applied Systems company, where he has spent the past 7 years - the last 4 in data science - growing from building models to building with agents. He has led data science projects in classification, claims, and claim loss-ratio prediction, and developed predictive models that helped improve insurance risk assessment. These days, Gil is all-in on LLM agents and agentic workflows, exploring what happens when a data scientist trades writing code for orchestrating a fleet of AI agents that can research, experiment, and evaluate on their own.
Avichay Marciano
Senior Solutions Architect, AWS
Senior Analytics Specialist Solutions Architect at AWS, focused on streaming, batch processing, and database workloads, with 13 years of hands-on experience designing and building distributed data systems. Contributor to various OSS projects, including Apache Flink Agents.
Senior Analytics Specialist Solutions Architect at AWS, focused on streaming, batch processing, and database workloads, with 13 years of hands-on experience designing and building distributed data systems. Contributor to various OSS projects, including Apache Flink Agents.
Eden Fattal
Data Engineering Team Lead, Wix
Eden is a Data Engineering Team Leader with over a decade of experience across the data industry, from hands-on analytics to data engineering leadership. Today, she leads a team in Wix’s Core Data Engineering Guild, working on data warehouse foundations, governance, and internal tooling that help data engineers build trusted data assets.
Eden is a Data Engineering Team Leader with over a decade of experience across the data industry, from hands-on analytics to data engineering leadership. Today, she leads a team in Wix’s Core Data Engineering Guild, working on data warehouse foundations, governance, and internal tooling that help data engineers build trusted data assets.
Maya Malamud
Principal Consultant and Founder, Malamud AI Advisory
Maya Malamud is a Healthcare AI Consultant and the Founder of Malamud AI Advisory, specializing in trustworthy AI, clinical NLP, and cascading pipeline architecture for HealthTech startups. With over a decade in machine learning and data science, she spends her days making sure AI systems are production-ready, auditable, and reliable before they reach patients - and her research asks what happens when the training data itself is the problem.
Maya Malamud is a Healthcare AI Consultant and the Founder of Malamud AI Advisory, specializing in trustworthy AI, clinical NLP, and cascading pipeline architecture for HealthTech startups. With over a decade in machine learning and data science, she spends her days making sure AI systems are production-ready, auditable, and reliable before they reach patients - and her research asks what happens when the training data itself is the problem.
Liad Hazoot
Founder Engineering Team Lead, Matia
I’m Liad Hazoot, a former professional national track & field jumper and a team tead at Matia, with 10 years of experience in software and data engineering. I specialize in building DataOps platforms and production-grade data infrastructure, enabling reliable, high-scale ETL and reverse ETL workflows across modern data warehouses. I spend most of my time tackling the unglamorous but critical challenge of making data pipelines trustworthy, scalable, and resilient in production environments.
I’m Liad Hazoot, a former professional national track & field jumper and a team tead at Matia, with 10 years of experience in software and data engineering. I specialize in building DataOps platforms and production-grade data infrastructure, enabling reliable, high-scale ETL and reverse ETL workflows across modern data warehouses. I spend most of my time tackling the unglamorous but critical challenge of making data pipelines trustworthy, scalable, and resilient in production environments.
Maya Caspi Schliesser
Data & Measurement Specialist, Google
I'm a data person who came through an unusual door. I started out as a designer, became a Co-Founder and CMO of a startup, ran growth teams at Loops and Voyantis, led data technology at SWC Consulting, and somehow ended up at Google as a Data and Measurement Specialist, working with advertisers on the infrastructure that connects their data to the algorithms running their campaigns. Along the way I've sat on every side of the measurement problem: the person building the pipelines, the person explaining why the numbers don't match, and the person who needs them to make a business decision by Thursday.
I'm a data person who came through an unusual door. I started out as a designer, became a Co-Founder and CMO of a startup, ran growth teams at Loops and Voyantis, led data technology at SWC Consulting, and somehow ended up at Google as a Data and Measurement Specialist, working with advertisers on the infrastructure that connects their data to the algorithms running their campaigns. Along the way I've sat on every side of the measurement problem: the person building the pipelines, the person explaining why the numbers don't match, and the person who needs them to make a business decision by Thursday.
Orit Mansur
Data Engineering Manager, Riskified
Orit is a Data Engineering Team Leader at Riskified and has over 10 years of experience in the data industry. As a data specialist, she is passionate about data, technology, business, and people. Her main expertise is in data modeling, analytics, and data visualization. She sees a big part in her role in mentoring and out-of-the-box thinking.
Orit is a Data Engineering Team Leader at Riskified and has over 10 years of experience in the data industry. As a data specialist, she is passionate about data, technology, business, and people. Her main expertise is in data modeling, analytics, and data visualization. She sees a big part in her role in mentoring and out-of-the-box thinking.
Ben Zagagy
Fullstack Tech Lead, Regulus
Today, I serve as a Fullstack Tech Lead at Regulus. Prior to this, I acted as a Solutions Architect and Tech Lead at Monday.com, and before that four years as a Tech Lead and Architect at Shutterfly. I bring 18 years of development experience, including three years as a hands-on team leader and four years as a software architect. I hold both a B.Sc. and an M.Sc. in Computer Science, and I have extensive experience building infrastructure and UI systems, with a deep understanding of diverse technologies and the full development lifecycle. I’m a forward-thinking, vision-driven professional with strong technical expertise, excellent communication skills, and a relentless drive to succeed.
Today, I serve as a Fullstack Tech Lead at Regulus. Prior to this, I acted as a Solutions Architect and Tech Lead at Monday.com, and before that four years as a Tech Lead and Architect at Shutterfly. I bring 18 years of development experience, including three years as a hands-on team leader and four years as a software architect. I hold both a B.Sc. and an M.Sc. in Computer Science, and I have extensive experience building infrastructure and UI systems, with a deep understanding of diverse technologies and the full development lifecycle. I’m a forward-thinking, vision-driven professional with strong technical expertise, excellent communication skills, and a relentless drive to succeed.
Tal Avraham
Senior Data Analyst, Grip Security
Tal Avraham is an Industrial and Management Engineer (B.Sc., Ben-Gurion University) with over six years of experience in data analytics. After four years as a Data Analyst in Check Point's R&D organization, she joined Grip Security, where she is now a Senior Data Analyst. In a startup environment, her role combines analytics and data engineering—from SQL and dbt modeling to product analysis, monitoring, and cross-functional collaboration. She enjoys bridging the gap between product, engineering, and analytics to build reliable data solutions for fast-moving teams.
Tal Avraham is an Industrial and Management Engineer (B.Sc., Ben-Gurion University) with over six years of experience in data analytics. After four years as a Data Analyst in Check Point's R&D organization, she joined Grip Security, where she is now a Senior Data Analyst. In a startup environment, her role combines analytics and data engineering—from SQL and dbt modeling to product analysis, monitoring, and cross-functional collaboration. She enjoys bridging the gap between product, engineering, and analytics to build reliable data solutions for fast-moving teams.
Tomer Yaniv
Head of AI, SNF AI
Over 20 years of experience as a data scientist - both hands on and leading teams. Currently leading the AI in snfai company which utilizes AI in extracting and leveraging information from unstructured textual medical documents. I have an experience in NLP, Deep NNs, classic ML, graph theory, optimization ,tabular data etc... in leading AI roles in different companies: Playtika, Riskified to name few.
Over 20 years of experience as a data scientist - both hands on and leading teams. Currently leading the AI in snfai company which utilizes AI in extracting and leveraging information from unstructured textual medical documents. I have an experience in NLP, Deep NNs, classic ML, graph theory, optimization ,tabular data etc... in leading AI roles in different companies: Playtika, Riskified to name few.
Ronnie Weinbach
Founding Data Analyst, Modus
I am the Founding Data Analyst at Modus, where I focus on solving the "context problem" for AI data agents. With 10 years of experience as a Data Analyst - including 6 years specializing in Product Analytics - I love turning messy data into actionable products. My background in Cognitive Sciences and Social Psychology heavily shapes how I approach mentoring and onboarding both human analysts and AI.
I am the Founding Data Analyst at Modus, where I focus on solving the "context problem" for AI data agents. With 10 years of experience as a Data Analyst - including 6 years specializing in Product Analytics - I love turning messy data into actionable products. My background in Cognitive Sciences and Social Psychology heavily shapes how I approach mentoring and onboarding both human analysts and AI.
Dafna Friedman
AI PM and Data Analyst, Arito
A data professional and AI PM with over ten years of experience making sense of complex systems - from algorithmic and agentic products to Neuroscience research. Currently building agentic AI products at Arito. Also leads a senior AI Analytics group at TechGym.
A data professional and AI PM with over ten years of experience making sense of complex systems - from algorithmic and agentic products to Neuroscience research. Currently building agentic AI products at Arito. Also leads a senior AI Analytics group at TechGym.
Maor Grushko
AI Backend Tech Lead, FINQ
As AI Backend Tech Lead at FINQ, I focus on turning AI ideas into reliable production systems, from training pipelines to scalable backend infrastructure. I enjoy solving practical engineering challenges, optimizing algorithms, sharing knowledge through technical lectures and TechGym, and helping teams build better AI products.
As AI Backend Tech Lead at FINQ, I focus on turning AI ideas into reliable production systems, from training pipelines to scalable backend infrastructure. I enjoy solving practical engineering challenges, optimizing algorithms, sharing knowledge through technical lectures and TechGym, and helping teams build better AI products.
Hila Sagges
Senior Director, Generative Data Lab, Teads
Hila Sagges is Senior Director of the Generative Data Lab at Teads, an AI-first unit rethinking how organizations generate, deliver, and act on data as the driver of the business. She built the Insights Hub - a production data product that delivers analytical insights across the organization, from the C-suite to operational teams, on a cadence. Coming from an analytics background, building the product analytics group at Outbrain and leading both product and business demand-side analytics, she works at the seam where data, product, and engineering meet, turning deep analysis processes that don't scale into products that do.
Hila Sagges is Senior Director of the Generative Data Lab at Teads, an AI-first unit rethinking how organizations generate, deliver, and act on data as the driver of the business. She built the Insights Hub - a production data product that delivers analytical insights across the organization, from the C-suite to operational teams, on a cadence. Coming from an analytics background, building the product analytics group at Outbrain and leading both product and business demand-side analytics, she works at the seam where data, product, and engineering meet, turning deep analysis processes that don't scale into products that do.
Guy Raz
Senior Data Product Manager, Boomi
I am a Senior Product Manager at Boomi, working on data integration products. I have spent the last several years building the layers behind data products: the connectors that bring data in, the engines that make analytics work, and the performance capabilities that make them usable at scale. At Sisense, I worked on analytics platform capabilities including connectors, analytical engine work and multi-tenancy. At Starburst, I focused on query performance and acceleration for large-scale analytics. Today at Boomi, I work on data integration products that help organizations connect and manage data across systems.
I am a Senior Product Manager at Boomi, working on data integration products. I have spent the last several years building the layers behind data products: the connectors that bring data in, the engines that make analytics work, and the performance capabilities that make them usable at scale. At Sisense, I worked on analytics platform capabilities including connectors, analytical engine work and multi-tenancy. At Starburst, I focused on query performance and acceleration for large-scale analytics. Today at Boomi, I work on data integration products that help organizations connect and manage data across systems.
Shiran Golan
Machine Learning Scientist, Booking.com
Shiran Golan is a Senior Machine Learning Scientist at Booking.com, specializing in NLP and LLM applications. She has over 10 years of experience in machine learning and AI across multiple industries, with expertise in building practical AI systems for real-world applications at scale.
Shiran Golan is a Senior Machine Learning Scientist at Booking.com, specializing in NLP and LLM applications. She has over 10 years of experience in machine learning and AI across multiple industries, with expertise in building practical AI systems for real-world applications at scale.
Haim Moscovici
Data Analytics Tech Lead, WSC Sports
I Hold a B.Sc. in Industrial Engineering and Management from Ben-Gurion University. I Began my career at Taboola, working for 2.5 years in product-related roles. For the past 4.5 years, I have been at WSC Sports, and led the company’s Direct-to-Fan product line from its inception to strategic growth.
I Hold a B.Sc. in Industrial Engineering and Management from Ben-Gurion University. I Began my career at Taboola, working for 2.5 years in product-related roles. For the past 4.5 years, I have been at WSC Sports, and led the company’s Direct-to-Fan product line from its inception to strategic growth.
Powerd by
© 2022 hayaData