Google Cloud Summit Tel Aviv is back

Discover the new way to cloud and get the latest updates about Generative AI, app modernization, data cloud and more. Whether you’re a cloud native or just starting your cloud journey, this is one event you don’t want to miss.

May 23, 2024 08:30–16:45 IDT
Expo Tel Aviv
Pavilion 2, Rokach Blvd 101, Tel Aviv-Yafo

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May 23, 2024 08:30–16:45
Expo Tel Aviv

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May 23, 2024 08:30–16:45
Expo Tel Aviv

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May 23, 2024 08:30–16:45
Expo Tel Aviv

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HELLO

May 23, 2024 08:30–16:45
Expo Tel Aviv

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Whether you’re a cloud native or just starting your cloud journey, this is one event you don’t want to miss. Last year’s Summit was epic and with all the breakthroughs in AI, this year promises to be even better.

Join the cloud community and connect with Google Cloud leaders to find out everything about the latest technology trends across AI, application modernization, collaboration, data cloud, open infrastructure, and security – all to help you advance innovation and drive impactful business outcomes.

We’ll share the latest announcements, showcase live demos, hold hands-on skills challenges, and a lot more.

Be sure to visit this page regularly for updates on our inspiring speakers and sessions.

Agenda

Track 1 - Generative AI and ML
Turn today's latest buzzword into business breakthroughs. Learn how to build ML models and Generative AI-based applications to realize business value.

Track 2 - Modernize Infrastructure
Optimize for success and growth with Google Cloud’s AI-driven intelligent infrastructure, migration programs, industry solutions, and sustainability leadership.

Track 3 - Unlock the power of data
Learn how to model your data and optimize business insights, using the power of analytics.

Track 4 - Build with LLM. Host on Cloud Run
In this workshop, you will build an Ask My Document service that answers questions about documents using LLMs. The service will be built with Vertex AI, Vector Database, Embeddings API, LangChain, Streamlit, and Python. The service will be deployed on Cloud Run and made accessible through a Global Load Balancer.

The workshop will follow a learn-and-build format, combining theoretical knowledge with practical application. Each building block service will be introduced with a 15-minute overview, followed by a 30-minute hands-on session where participants will use the service to create the end-result service.

Please bring your laptop to follow along with the exercises and create your own service.

Track 5 - Leverage Google's region in Israel
Leverage the benefits of Google Cloud's region in Israel to build and innovate faster while maintaining control over your data and assets and keeping your data within the country's borders. Learn about how the cloud built for Israel provides you with the most advanced solutions including the latest AI tools, additional availability, support in Hebrew, and more.

Track 6 - The startup founders track
The track will feature keynote speakers, panel discussions, and networking opportunities. Participants will have the opportunity to learn from some of the most successful entrepreneurs and investors in Israel.

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May 23, 2024
08:30–16:45
Expo Tel Aviv
Pavilion 2, Rokach Blvd 101,
Tel Aviv-Yafo

Keynote speakers

Sveta Morage

Customer Engineer,

Google Cloud

Eilon Bar

Machine Learning Customer Engineer,

Google Cloud

Amir Davidoff

Customer Engineer,

Google Cloud

Guy Shilo

Data and Analytics Customer Engineer,

Google Cloud

Sergiu Lupu

Customer Engineer,

Google Cloud

Uri Katsir

Customer Engineer,

Google Cloud

Amit Einav

Customer Engineering Manager,

Google Cloud

Ariel Peretz

Strategic Cloud Engineer,

Google Cloud

Naama Yanko

Head of Venture Capital & Startup Business Development - Israel & Emerging Markets

Google Cloud

Shai Harodi

Data and Analytics Customer Engineer,

Google Cloud

Ira Oren

ISV GTM Manager,

Google Cloud

Michael Gadaev

Customer Engineer,

Google Cloud

Laura Bouaziz

Customer Engineer,

Google Cloud

Eden Marco

Customer Engineer,

Google Cloud

Boaz Maoz

Managing Director,

Google Cloud Israel

Sandra Joyce

VP, Mandiant Intelligence,

Google Cloud

Tara Brady

President,

Google Cloud EMEA

Firstname Lastname

Customer Engineer,

Google Cloud

Firstname Lastname

Customer Engineer,

Google Cloud

Firstname Lastname

Customer Engineer,

Google Cloud

ALL DAY TRACKS

Track 1 - Generative AI and ML

  • 8:30-9:45
    Gathering
  • 9:45-10:45
    Keynote
    Join us for a powerful keynote delivered by local and global experts who are flying into Israel especially to share their knowledge with you. Get the latest news and insights about our most recent announcements around AI, data, and how to leverage cloud technology to prepare your organization to innovate for the future. Watch live demos of our latest tech in action and hear from customers who are already using Google Cloud technology to build tomorrow’s innovations, today.

    Boaz Maoz, Managing Director, Google Cloud Israel
    Chen Goldberg, GM & VP, Cloud Runtimes, Google Cloud
    Jeff Reed, VP of Product- Cloud Security, Google Cloud
    Will Grannis, VP, CTO, Google Cloud
  • 10:45-11:00
    Break
  • 11:00-11:45
    Build a GenAI Chatbot app in minutes with GenAI App Builder
    In this session, you will learn how to use Google GenAI App Builder to create a chatbot app in minutes. Google GenAI App Builder is a new platform that makes it easy to build generative AI applications, even if you have no prior experience with machine learning.

    We will walk you through the process of creating a chatbot app from scratch, using Google Cloud LLMs and other pre-trained models. You will learn how to:
    • Connect your chatbot to your data
    • Train and deploy your chatbot
    • Add additional features to your chatbot

    By the end of this session, you will be able to create a chatbot app that can be used to answer questions, provide information, or perform tasks.

    This session is designed for developers, business users, and anyone else who is interested in learning how to build GenAI chatbot apps.

    Level: Knowledgeable

    Sveta Morag, Customer Engineering, Google Cloud
    Eilon Bar, ML/AI Customer Engineer, Google Cloud
  • 11:45-12:00
    Break
  • 12:00-12:45
    All about LLM Agents: Empower LLMs with tools and reasoning
    Explore the untapped potential of LLM Agents powered by GCP VertexAI and LangChain. Learn how to equip LLMs with tools like search and code execution, and leverage them as reasoning engines. Discover best practices and tackle challenges in deploying LLM Agents for real-world production grade applications.

    Level: Knowledgeable

    Eden Marco, Customer Engineering, Google Cloud
  • 12:45-14:00
    Break
  • 14:00-14:45
    Generative AI and security: How to use LLM for security and how to protect ourselves with LLM
    The potential of AI, especially Generative AI, is immense. However, in the pursuit of progress within these new frontiers of innovation, there needs to be clear industry security standards for building and deploying this technology in a responsible manner. We want to share how Generative AI can help us to upscale our security posture.

    Amit Einav, Customer Engineering Manager, Google Cloud

    Level: Knowledgeable
  • 14:45-15:00
    Break
  • 15:00-15:45
    Google Cloud GenAI: A New Way to Interact with Your Data
    Generative AI (GenAI) is revolutionizing the way we interact with data. By enabling natural language interaction with data, GenAI makes it easier than ever to access and analyze information.

    In this hands-on session, you will learn how to build a Retrieval Augmented Generation (RAG) app using Google Cloud LLMs, embeddings, and vectorstore. We will also demonstrate how to leverage our integration with LangChain, a popular framework for simplifying the creation of GenAI applications.

    Level: Knowledgeable

    Tomer Glottman, Customer Engineering, Google Cloud
  • 15:45-16:00
    Break
  • 16:00-16:45
    Visualize your ideas: Google image generation, multimodal search and beyond
    In this hands-on session we will showcase how Google Cloud cutting-edge tech such as text-to-image generation, visual Q&A, multimodal embeddings and scalable ultra-fast vectorstore can help you build powerful applications that can provide you with business value today.

    Ariel Jassan, Customer Engineering, Google Cloud

    Level: Knowledgeable

Track 2 - Modernize infrastructure

  • 8:30-9:45
    Gathering
  • 9:45-10:45
    Keynote
    Boaz Maoz, Managing Director, Google Cloud Israel
    Chen Goldberg, GM & VP, Cloud Runtimes, Google Cloud
    Jeff Reed, VP of Product- Cloud Security, Google Cloud
    Will Grannis, VP, CTO, Google Cloud
  • 10:45-11:00
    Break
  • 11:00-11:45
    What’s next for Google Cloud databases
    Google Cloud databases provide you the best options for building unified, open, and intelligent applications that help you deliver great customer experiences. Attend this session to learn more about the latest innovations that help you break free from legacy and proprietary databases, help you unify your analytical and transactional workloads, and enable you to bring AI and machine learning to your database workloads.
  • 11:45-12:00
    Break
  • 12:00-12:45
    GKE for production: what you need to know
    This session will discuss the key features of GKE that you need to know to deploy your applications in production. Additionally, we will share a customer story highlighting their successful implementation of GKE in their main production environment, showcasing the innovative use of GPU sharing for enhanced performance and efficiency.
  • 12:45-14:00
    Break
  • 14:00-14:45
    Detecting, investigating, and responding to threats in your Google Cloud environment
    As cloud adoption continues to grow, so does the number of cloud-born security threats. However, cloud environments can present significant opportunities to improve security, with the right tools and processes in place. In this session, we’ll cover how security teams can best detect and respond to cloud-born threats and showcase how Chronicle Security Operations seamlessly integrates with your Google Cloud environment to enable unified threat detection, investigation, and response to make your cloud safer.
  • 14:45-15:00
    Break
  • 15:00-15:45
    What's new in cloud networking
    Google Cloud networking products are providing many new capabilities across hybrid and multicloud connectivity, security, app delivery, content delivery, and observability. Whether you’re running AI, machine learning, databases, analytics, gaming, web, media, or high performance computing workloads, cloud networking is delivering simpler, faster, more resilient, and more secure services to help you connect and secure workloads. Join this session where we’ll share the latest innovations, customer use cases, and a preview of what’s coming next.
  • 15:45-16:00
    Break
  • 16:00-16:45
    How Duet AI helps you be more productive in your daily tasks
    In this session, we will explore the capabilities of Duet AI for Google Cloud and how it can be used to help you be more productive and efficient in your development work. We will also discuss how Duet AI for Google Cloud can be used for assistive operations to help people with disabilities write code and automate tasks in their cloud environment.

Track 3 - Unlock the power of data

  • 8:30-9:45
    Gathering
  • 9:45-10:45
    Keynote
    Boaz Maoz, Managing Director, Google Cloud Israel
    Chen Goldberg, GM & VP, Cloud Runtimes, Google Cloud
    Jeff Reed, VP of Product- Cloud Security, Google Cloud
    Will Grannis, VP, CTO, Google Cloud
  • 10:45-11:00
    Break
  • 11:00-11:45
    What's new with BigQuery?
    In this digital-first era, data analytics continues to be at the core of driving differentiation and innovation for businesses. Learn how BigQuery is fueling transformations and helping organizations build data ecosystems, and discover the latest product announcements, upcoming innovations, and strategic roadmap.
  • 11:45-12:00
    Break
  • 12:00-12:45
    Gen AI for your data analytics platform
    AI capabilities are inspiring people across enterprise organizations to solve critical business problems in new ways. But how do you turn that interest into real business impact? Join us to learn how Google’s data and AI cloud provides the foundation customers need to democratize, unify, customize, and operationalize data and AI to drive real business impact.
  • 12:45-14:00
    Break
  • 14:00-14:45
    Bringing machine learning to streaming data with a few lines of code
    In contrast to offline prediction, online recommendations require real-time context of the customer who's using your application, along with historical information. This means the ability to do complex stream pre-processing on raw real time data, joining it with other sources to extract features that are needed in the ML models is critical for performance and prediction latency. In this session, we will introduce what’s new in Dataflow - Google Cloud’s unified batch and stream processing platform - with a specific focus on Dataflow ML - a suite of out of the box machine learning capabilities and deep integrations with Vertex AI.
  • 14:45-15:00
    Break
  • 15:00-15:45
    What's new in business intelligence for today's GenAI world
    Business intelligence done right delivers insights to your users and customers in your environment and your applications. The generative AI revolution is bringing answers faster and accelerating actions in practically every industry. Hear Google's experts talk about the future of Looker, and our approach to the GenAI wave as we help prepare you for what's next in the world of analytics and discovery.
  • 15:45-16:00
    Break
  • 16:00-16:45
    What’s new for open lake
    Organizations have been searching for optimal ways to store and analyze vast amounts of structured, unstructured, and semistructured data to handle the increasing volume, latency, resilience, and data-access requirements demanded by cross-functional teams. The lakehouse architecture, which combines the key benefits of data warehouses and data lakes, emerged to address some of these issues. In this session, learn how Google is extending the benefits of the lakehouse architecture into an end-to-end analytics lakehouse, enabling organizations to both extract data in real time – regardless of which cloud or datastore the data resides in – and to use it in aggregate for greater insight and AI with tools and features anchored on openness, choice, and simplicity.

Track 4 - Build with LLM. Host on Cloud Run

  • 8:30-9:45
    Gathering
  • 9:45-10:45
    Keynote
    Boaz Maoz, Managing Director, Google Cloud Israel
    Chen Goldberg, GM & VP, Cloud Runtimes, Google Cloud
    Jeff Reed, VP of Product- Cloud Security, Google Cloud
    Will Grannis, VP, CTO, Google Cloud
  • 10:45-11:00
    Break
  • 11:00-11:45
    Welcome & Setup
    Go over the day's agenda and confirm that all prerequisites for building and running the service in your project are in place.
  • 11:45-12:00
    Break
  • 12:00-12:45
    GenAI at Google Cloud
    Google Cloud Platform offers a range of services for developing, training, and deploying Generative AI models on a large scale. Our discussion will focus on various Google Cloud Generative AI offerings, including Vertex AI foundation models, Model Garden, and Generative AI Studio. Additionally, Google Cloud’s approach to responsible AI will be highlighted.
  • 12:45-14:00
    Break
  • 14:00-14:45
    LangChain & Streamlit
    Learn: LangChain and Streamlit introduction. Frameworks for building machine learning services & applications.

    Build: Application's skeleton.
  • 14:45-15:00
    Break
  • 15:00-15:45
    Embeddings API & Vector Database
    Learn: Embeddings and how to use them.

    Build: Application's backend. Upload the documents, split the documents into chunks, run the chucks through the embeddings API and store the embeddings in the vector database. Then, you can ask questions and display the results.
  • 15:45-16:00
    Break
  • 16:00-16:45
    Deploy to Cloud Run and make it accessible through a Global Load Balancer.
    Learn: Cloud Run is a serverless compute platform for running stateless containers. It's fully managed, so you can focus on building your apps.
    In this session, you'll learn about Cloud Run's key features, how to build and deploy apps, and best practices.

    Build: Deploy the service to Cloud Run & expose it using a Load Balancer

Track 5 - Leverage Google's region in Israel

  • 8:30-9:45
    Gathering
  • 9:45-10:45
    Keynote
    Boaz Maoz, Managing Director, Google Cloud Israel
    Chen Goldberg, GM & VP, Cloud Runtimes, Google Cloud
    Jeff Reed, VP of Product- Cloud Security, Google Cloud
    Will Grannis, VP, CTO, Google Cloud
  • 10:45-11:00
    Break
  • 11:00-11:45
    Securing Your Google Cloud Deployments with Google Cloud Native Solutions (i.e Apigee, and BeyondCorp Enterprise, Cloud Armor, etc)
    This session will provide an overview of Google Cloud's native cloud security solutions, Apigee API management, and BeyondCorp Enterprise zero trust access.

    Google Cloud native cloud security solutions offer a comprehensive set of features to protect your data and applications.
    Apigee API management helps you secure, monitor, and control your APIs.
    BeyondCorp Enterprise provides a zero trust security architecture that protects your users and applications, regardless of their location.
    This session will be of interest to security professionals, developers, and IT administrators who are looking to learn more about how to secure their Google Cloud deployments.

    Level: Introduction

    Shay Elias, Customer Engineer, Government, Infrastructure Modernization, Google Cloud
  • 11:45-12:00
    Break
  • 12:00-12:45
    Generative AI: A New Era of Innovation for Public and Enterprise Sectors
    Generative AI is a rapidly evolving field with the potential to revolutionize a wide range of industries. In the public sector, generative AI can be used to improve efficiency, reduce costs, and improve citizen services. In the enterprise sector, generative AI can be used to develop new products and services, improve customer experiences, and increase productivity.

    This session will explore the potential of generative AI for public sector and enterprise customers. We will discuss the latest advances in generative AI, as well as the challenges and opportunities that this technology presents. We will also hear from experts from the public sector and enterprise sectors about how they are using generative AI to improve their organizations.
  • 12:45-14:00
    Break
  • 14:00-14:45
    Migrating your Vmware & NetApp workloads to Google Cloud: A step-by-step guide to lift and optimize
    In this session, you will learn about the benefits of migrating your VMware and NetApp workloads to Google Cloud. You will also learn about the different options available to you, and how to choose the best solution for your needs.
    • Introduction to Google Cloud VMware Engine and Google Cloud NetApp Offerings
    • Benefits of migrating to Google Cloud
    • Migration best practices from our experts

    Tal Shapsa, Customer Engineer, Google Cloud
  • 14:45-15:00
    Break
  • 15:00-15:45
    Migrating you databases to Google Cloud: Learn how Database Migraiton Service can help you modernize your Oracle workloads and move to Google Cloud
    Organizations that are looking to innovate and provide the best experience to customers will need to think about how to migrate and modernize databases to reduce complexity, improve agility, all while making the mission critical application scalable, reliable and secure. This journey can become tedious, and in this session, you will learn about strategies around migrating databases and how Database Migration Service along with additional Google Cloud & partner tooling can help in this journey.

    Nir Carasso Business Customer Engineer, Data modernization & Health, Public Sector, Google Cloud
    Shachar Guz, Senior Product Manager for Database Migration Service, Google Cloud
    Shani Einav, Engineering Manager for Database Migration Service, Google Cloud
  • 15:45-16:00
    Break
  • 16:00-16:45
    Leveraging Google Chronicle and VirusTotal to Improve Your Security Posture
    Google Chronicle is a unified security analytics platform that combines security information and event management (SIEM) and security orchestration, automation, and response (SOAR) capabilities. VirusTotal is a free online service that allows you to scan files and URLs for viruses, malware, and other threats. In this session, we will discuss how Google Chronicle and VirusTotal can be used together to improve your security posture. We will cover the following topics:
    • How Google Chronicle and VirusTotal can be used to collect and analyze security data
    • How Google Chronicle and VirusTotal can be used to automate security tasks
    • How Google Chronicle and VirusTotal can be used to respond to security incidents

    Moran Frieder, Customer Engineer, Government, Infrastructure Modernization, Google Cloud
    Omri Pinsker,Customer Engineer, Security, Chronicle, Google Cloud

Track 6 - The startup founders track

  • 8:30-9:45
    Gathering
  • 9:45-10:45
    Keynote
    Boaz Maoz, Managing Director, Google Cloud Israel
    Chen Goldberg, GM & VP, Cloud Runtimes, Google Cloud
    Jeff Reed, VP of Product- Cloud Security, Google Cloud
    Will Grannis, VP, CTO, Google Cloud
  • 10:45-11:00
    Break
  • 11:00-11:45
    Building a partnership strategy that scales with your growth journey
    Ira Oren, ISV GTM Manager, Google Cloud
  • 11:45-12:00
    Break
  • 12:00-12:45
    The journey from 1 to 100: what does it really take to sell to global corporates
    Amit Harel, Partner, Deloitte Catalyst Tel Aviv Leader
  • 12:45-13:00
    Break
  • 13:00-13:45
    VC Panel
  • 13:45-14:00
    Break
  • 14:00-14:45
    Marketing in the age of AI
    Lior Noy, Head of Startups and Strategic Partnerships, Google
  • 14:45-15:00
    Break
  • 15:00-15:45
    VC Talk
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Agenda

  • 9:30 AM–09:40 AM
    Opening Keynote: Lorem ipsum dolor sit
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  • 9:40 AM–10:00 AM
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ
  • 10:00 AM–10:40 AM
    Fast analytics at scale with Google BigQuery
    Speaker: Name, Title, Organization
  • 10:40 AM–11:00 AM
    Break
  • 11:00 AM–11:20 AM
    Session Title
    Speaker: Name, Title, Organization
  • 11:20 AM–11:40 AM
    Session Title
    Speaker: Name, Title, Organization
  • 11:40 AM–12:40 PM
    Lunch
  • 12:40 PM–01:00 PM
    Session Title
    Speaker: Name, Title, Organization
  • 1:00 PM–01:20 PM
    Session Title
    Speaker: Name, Title, Organization
  • 1:20 PM–01:40 PM
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  • 1:40 PM–02:40 PM
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  • 2:40 PM–03:40 PM
    Happy hour

Track 1

Track 2

Track 3

  • 8:30 AM–09:30 AM
    Registrations
    Registrations
    Registrations
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    Firstname Lastname, Position, Company XYZ
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  • 9:40 AM–10:00 AM
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ

Agenda

Track 1

Track 2

  • 8:30 AM–09:30 AM
    Registrations
    Registrations
  • 9:30 AM–09:40 AM
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    Firstname Lastname, Position, Company XYZ
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
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    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ

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Speakers

Adi Sprachman

Senior Product Manager,

Google Cloud

Alec Shnapir

Principal Architect,

Google Cloud

Amir Davidoff

Machine Learning Customer Engineer,

Google Cloud

Amir Marouani

Customer Engineer,

Google Cloud

Amit Einav

Customer Engineering Manager,

Google Cloud

Anoop Vetteth

Director, Product Management, Networking Security,

Google Cloud

Ariel Peretz

Strategic Cloud Engineer,

Google Cloud

Aviv Grebler

Customer Engineer, Security,

Google Cloud

Dadee Birgher

Product Manager, Google Cloud File Solutions,

Google

Dani Kaganovitch

Customer Engineer,

Google Cloud

David Gang

Tech Lead,

Lightricks

Eden Marco

LLM Specialist,

Google Cloud

Eilon Bar

Machine Learning Customer Engineer,

Google Cloud

Guy Shilo

Data and Analytics Customer Engineer,

Google Cloud

Ira Oren

ISV GTM Manager,

Google Cloud

Kfir Naftali

Sales Engineer, Smart Analytics,

Google Cloud

Laura Bouaziz

Machine Learning Customer Engineer,

Google Cloud

Liat Sbag

Data and Analytics CE,

Google Cloud

Liron Ratzabi

Sr. Software and Cloud Solutions Architect,

Sela

Maor Freidman

General Partner,

F2 Venture Capital

Maor Hazan

Cloud Security Architect,

Google Cloud

Michael Gadaev

Data and Analytics CE,

Google Cloud

Moshe Youdkevich

Data Management Customer Engineer,

Google Cloud

Naama Yanko

Head of Venture Capital & Startup Business Development - Israel & Emerging Markets,

Google Cloud

Oded Goldreich

Director of Engineering,

Planck

Oded Shvartz

Director of Engineering,

Torq

Rami Shalom

Director, Product Management,

Google Cloud

Oren Bouni

Data Management CE,

Google

Satish Kondalam

Product Manager, Cloud Networking,

Torq

Sergiu Lupu

Machine Learning Customer Engineer,

Google Cloud

Shai Harodi

Data and Analytics CE,

Google Cloud

Sveta Morag

Machine Learning Customer Engineer,

Google Cloud

Uri Katsir

Customer Engineer,

Google Cloud

Yael Schiff

Investor,

Venture Partners Bessemer

Yoav Yanovski

Engineering Manager, Incident Management Team,

Siemplify

Yonit Gruber-Hazani

Customer Engineer,

Google Cloud

Ziv Vilozni

Senior DevOps Engineer,

Transmit Security

Zvika Orron

General Partner,

Viola Ventures

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h3 headline 30 characters max

Donec rutrum congue leo eget malu suada. Praesent sapien massa, creallis sollicitudin malesuada euse consecturuer.

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h3 headline 30 characters max

Donec rutrum congue leo eget malu suada. Praesent sapien massa, creallis sollicitudin malesuada euse consecturuer.


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