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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Get ready for the Cloud experience

Join us for this free, in-person event and get together with the cloud community to experience the new way to cloud. Network with peers, connect with Google Cloud leaders, and explore technology trends across AI, application modernization, collaboration, data cloud, open infrastructure, and security – all to help you innovate faster and drive more impactful business outcomes.

With all the breakthroughs in AI, this is one event you don’t want to miss.

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

    • 08:30
      Gathering
    • 09:30
      Keynote
    • 10:45
      Break
 

Track 1 - GenAI: Demos, architectures and customer stories

Ready to revolutionize your applications with GenAI? Join us for live demos, cutting-edge architectures and customer success stories. We'll explore the latest releases – including Gemini's 1M context window, RLHF tuning and Gemma open model and share production best practices for deploying agentic and RAG-based applications for maximum business impact.

View agenda

  • 11:00
    Latest Google Cloud AI Announcements
    Get ready to revolutionize your applications with GenAI! This talk will dive into the most recent Google Cloud AI announcements, unveiling groundbreaking tools and services that will empower you to push the boundaries of possibility. Discover advancements in large language models, computer vision, and more.

    Level: Knowledgeable

    Laura Bouaziz, Machine Learning Customer Engineer, Google Cloud
  • 11:15
    See Gemini in Action & Learn from Planck's Success Story
    We will start with a live demo of Gemini followed by Planck's success story. Learn from Planck how they are transforming commercial insurance with our generative AI solutions.

    Level: Knowledgeable

    Eilon Bar, Machine Learning Customer Engineer, Google Cloud
    Oded Goldreich, Director of Engineering, Planck
  • 11:45
    Break
  • 12:00
    All about LLM Agents: Empower LLMs with Tools and Applications with 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 Engineer, Google Cloud
  • 12:45
    Break
  • 14:00
    Best Practices for Taking LLMs to Production
    Shipping LLM based applications and drawing business value is an iterative process that relies on a wide ecosystem. In this talk we will review best practices for taking LLM's to production. From ideation, through experimentation to deployment. We will touch on questions like, what use cases reach production? What processes help bring LLM's to productions and what are the tools that support them.

    Level: Knowledgeable

    Sergiu Lupu, Machine Learning Customer Engineer, Google Cloud
  • 14:45
    Break
  • 15:00
    Generative AI and Security: Securing LLMs and Securing with LLMs
    This technical session explores the challenges of securing generative AI workloads, including prompt injection, data poisoning and malicious content generation. We will discuss mitigation strategies and will also examine how generative AI can be used to enhance cybersecurity practices, such as synthetic data generation and advanced threat detection. Attendees will gain insights into securing generative AI systems and leveraging their power for improved security.

    Level: Knowledgeable

    Amit Einav, Customer Engineering Manager, Google Cloud
  • 15:45
    Break
  • 16:00
    Cost Effective Application at Scale Based Gemma Open LLM Model
    Discover how the Gemma Open LLM empowers enterprises to implement powerful language-based applications without breaking the bank. This session examines cost-saving approaches for LLM deployment, demonstrating real-world use cases across industries.Attendees will gain insights into balancing model performance and operational costs, enabling broader adoption of LLM technology.

    Level: Knowledgeable

    Sveta Morag, Machine Learning Customer Engineer, Google Cloud
    Amir Davidoff, Machine Learning Customer Engineer, Google Cloud
 
 

Track 2 - InfraOps: Build, Secure, Manage, Deploy

Dive into the complete cloud experience with 'Build, Secure, Manage, Deploy'—your guide to mastering Google Cloud's infrastructure lifecycle. Construct, fortify, streamline, and deploy with confidence.

View agenda

  • 11:00
    The past, present, and future of Google Kubernetes Engine
    Today's applications are built using containers, and Kubernetes has become the de facto standard for running containerized workloads. Google Kubernetes Engine (GKE) is the most automated, scalable, and fully managed Kubernetes platform run by the largest contributor to Kubernetes. Join this session to learn how GKE simplifies compute orchestration, provides cost-optimized autoscaling and reduces Day 2 operations, allowing you to focus on building and running your application workloads while Google Cloud manages your infrastructure.

    Level: Knowledgeable

    Yonit Gruber-hazani, Customer Engineer, Google Cloud
  • 11:45
    Break
  • 12:00
    Network Connectivity Center and what's new with Cloud Networking?
    Reimagine how you deploy, manage, and scale your networks. Planet-scale network management to simplify complex networks for your on-prem and cloud connectivity needs.

    Level: Knowledgeable

    Ariel Peretz, Strategic Cloud Engineer, Google Cloud
  • 12:45
    Break
  • 14:00
    Start secured to stay secured: Best practices for a strong security for your cloud
    The key to maintaining a strong cloud security posture without effort, is to build on a robust foundation of baseline security controls. Google Cloud’s Security product line provides recommended controls to common cloud adoption use cases, including infrastructure, AI workloads, Data Analytics, Network and Application. In this session, you’ll learn how to start secured and stay secured in the cloud with our best practices, tips & tricks and innovating technology.

    Level: Knowledgeable

    Amit Einav, Customer Engineering Manager, Google Cloud
  • 14:45
    Break
  • 15:00
    Observability Analytics in the AI Era
    In today's complex cloud environments, achieving comprehensive observability is essential for maintaining reliability, diagnosing issues, and optimizing performance. This session delves into the realm of Observability Analytics, exploring how organizations can leverage data-driven insights to gain a deeper understanding of their cloud infrastructure, applications, and services.

    Level: Knowledgeable

    Dani Kaganovitch, Customer Engineer, Google Cloud
  • 15:45
    Break
  • 16:00
    Storage Strategy for AI workloads
    Select the right combination of block, file, and object storage solution for your use case. Learn how to optimize all your AI/ML workloads like data preparation, training, tuning, inference, and serving with the best storage solution and easily integrate them into your Compute Engine, Google Kubernetes Engine, or Vertex workflows.

    Level: Knowledgeable

    Alec Shnapir, Principal Architect, Google Cloud
 
 

Track 3 - Google's AI-ready data cloud

Your data needs AI, and your AI needs data. This track explores the latest innovations from Google's Data Cloud designed to power generative AI solutions. Learn how to build enterprise-ready gen AI apps with Google Cloud Databases, including vector search and LangChain support. Discover how BigQuery ML allows you to train, tune, and ground LLMs using Vertex AI integration. Finally, break down the barriers between your transactional and analytical systems effortlessly with no-code features like BigQuery Federated queries, Spanner Data Boost, and Reverse ETL.

View agenda

  • 11:00
    What's next for Google Data Cloud - databases and analytics
    Discover the cutting-edge of Google Cloud databases and analytics, designed to fuel the next generation of AI-powered applications. This spotlight session will unveil exciting product announcements, showcase insightful demos, and reveal real-world customer success stories. See how Google's Data Cloud empowers you to build transformative AI experiences that revolutionize how your business interacts with data.

    Level: Knowledgeable

    Guy Shilo, Data and Analytics Customer Engineer, Google Cloud
  • 11:45
    Break
  • 12:00
    Gen AI use-cases and design patterns with Google Cloud Databases
    This technical session delves into real-world use cases, and design patterns for building generative AI applications using Google Cloud Databases, Vertex AI, and popular open-source orchestration frameworks such as LangChain. We’ll showcase a sample application that leverages the versatility of Google Cloud Databases to implement dynamic grounding using various RAG techniques, giving you valuable insights on implementing enterprise-grade gen AI solutions.

    Level: Knowledgeable

    Moshe Youdkevich, Data management Customer Engineer, Google Cloud
  • 12:45
    Break
  • 14:00
    Any data, anywhere: Build a unified, open, and fully managed lakehouse for analytics and AI with BigQuery
    Customers increasingly want to run multiple analytics and artificial intelligence (AI) use cases on a single copy of their data spanning lakes and warehouses. However, the fragmented nature of today’s analytics and AI systems poses limits with distributed data and metadata across different engines. Google Cloud now offers a unified storage and metadata experience. Learn how these new capabilities in BigQuery can help unify the data and data sharing across engines, data types and even clouds

    Michael Gadaev, Customer Engineer, Google Cloud
  • 14:45
    Break
  • 15:00
    Best practices to maximize the availability of your databases

    Level: Knowledgeable
  • 15:45
    Break
  • 16:00
    Power data analytics with generative AI using BigQuery and Gemini
    We are bringing Google’s research and innovations in artificial intelligence (AI) directly to your data in BigQuery. Join this session to learn about BigQuery’s built-in ML capabilities, such as model inferences, and how to use Gemini, Google's most capable and flexbile AI model yet, directly within BigQuery to simplify advanced use cases such as sentiment analysis, entity extraction, and many more.

    Level: Knowledgeable

    Shai Harodi, Data and Analytics Customer Engineer, Google Cloud
 
 

Track 4 - Hands-on workshop: Architecting today's LLM applications - A comprehensive blueprint

In this all day hands-on workshop we will build a comprehensive blueprint for architecting effective LLM based applications. The blueprint presents key architectural principles and best practices that guide developers and architects through the entire application lifecycle. By adhering to these principles, architects can design LLM applications that harness the full potential of these powerful language models, ensuring optimal performance, scalability, and usability.

View agenda

  • 11:00
    Latest GenAI Announcements

    Level: Knowledgeable

    Uri Katsir, Customer Engineer, Google Cloud
  • 11:45
    Break
  • 12:00
    Building Blocks of LLM Applications

    Level: Knowledgeable

    Uri Katsir, Customer Engineer, Google Cloud
  • 12:45
    Break
  • 13:00
    Designing for Performance and Scalability

    Level: Knowledgeable

    Uri Katsir, Customer Engineer, Google Cloud
  • 13:45
    Break
  • 14:00
    Ensuring Usability and Accessibility

    Level: Knowledgeable

    Uri Katsir, Customer Engineer, Google Cloud
  • 14:45
    Break
  • 15:00
    Building a Comprehensive Blueprint

    Level: Knowledgeable

    Uri Katsir, Customer Engineer, Google Cloud
  • 15:45
    Break
  • 16:00
    Building a Comprehensive Blueprint (Cont.)

    Level: Knowledgeable

    Uri Katsir, Customer Engineer, Google Cloud
 
 

Track 5 - Hands-on workshop: BigQuery and Gemini - A perfect match

In this all day hands-on workshop we will unlock the transformative power of combining these technologies. Discover how to harness BigQuery's massive data storage and analytics capabilities with the advanced language & Image processing abilities of Gemini.

View agenda

  • 11:00
    Latest GenAI Announcements
  • 11:45
    Break
  • 12:00
    Unlocking the Power of BigQuery and Gemini
  • 12:45
    Break
  • 13:00
    Advanced Data Analytics with BigQuery and Gemini
  • 13:45
    Break
  • 14:00
    Image Processing and Analysis with BigQuery and Gemini
  • 14:45
    Break
  • 15:00
    Querying and Visualizing Data
  • 15:45
    Break
  • 16:00
    Real-World Implementations and Best Practices
 
 

Track 6 - Startup founders

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.

View agenda

  • 11:00
    Google Cloud: Powering the Future of Startups

    Naama Yanko, Head of Startup & VC Business Development, Google Cloud
    Ran Gat, Head of Startup Growth, Google Cloud
  • 11:15
    Building a partnership strategy that scales with your growth journey
    Partnerships are essential for any startup or growing business. They can help you to reach new customers, expand your product or service offerings, and accelerate your growth. In this session we will explain how to partner effectively with your cloud vendor and GCP.

    Ira Oren, ISV GTM Manager, Google Cloud
  • 11:45
    Break
  • 12:00
    VC Panel: AI Funding: A Reality Check
    This session will provide a realistic perspective on AI funding, exploring the complexities of the deal flow process for AI startups. Learn about the key market trends and factors that drive investors' decisions, as well as the challenges they face in helping AI startups scale from seed to global expansion.

    Moderator: Naama Yanko, Head of Startup & VC Business Development, Google Cloud
  • 12:45
    Break
  • 13:00
    AI Landscape report

    Yair Laron - Deloitte & F2 Capital
  • 13:30
    Break
  • 13:45
    Founders Panel

    Moderator: Maayan Ronen

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Event map and details

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

Executive speakers

Chen Goldberg

GM & VP, Cloud Runtimes,

Google Cloud

Jeff Reed

VP of Product- Cloud Security,

Google Cloud

Will Grannis

VP, CTO,

Google Cloud

Boaz Maoz

Managing Director,

Google Cloud Israel

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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
    Firstname Lastname, Position, Company XYZ
  • 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
    Session Title
    Speaker: Name, Title, Organization
  • 1:40 PM–02:40 PM
    Closing keynote: Lorem ipsum dolor sit
    Speaker: Name, Title, Organization
  • 2:40 PM–03:40 PM
    Happy hour

Track 1

Track 2

Track 3

  • 8:30 AM–09:30 AM
    Registrations
    Registrations
    Registrations
  • 9:30 AM–09:40 AM
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
  • 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
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
  • 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

Our partners

Platinum

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Silver

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Partners

Premier

doiT

DoiT provides intelligent technology to simplify and automate public cloud use, alongside expert consultancy and unlimited technical support for digitally savvy companies. An award-winning strategic partner of Google Cloud, DoiT operates in more than 70 countries worldwide. For more information, visit doit-intl.com.

Deloitte

Deloitte is the world’s leading and largest professional services firm. We enable enterprise transformation through innovative applications of cloud and our full spectrum of capabilities can support your business throughout your journey to the cloud — and beyond.

Wideops

WideOps is a Google Cloud Premier Partner and one of the largest in Israel and Europe, with over 7 years of experience delivering professional services and 24/7 support. As GCP experts, we provide our customers with the highest level of service while cutting costs through continuous optimization.

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Commit

Commit is a global powerhouse offering end-to-end technology services solutions in Cloud, Software Development, IoT, Big Data, Cyber, ICT, and Cloud of People. Founded in 2005, Commit has over 600 multi-disciplinary innovation experts, serving over 1,000 customers from small startups to huge enterprises in Israel, the US, and Europe.

netapp

In a world full of generalists, NetApp is a specialist. We’re focused on one thing, helping your business get the most out of your data. NetApp brings the enterprise-grade data services yourely on into the cloud, and the simple flexibility of cloud into the data center. Our industry-leading solutions work across diverse customer environments and the world’s biggest public clouds. As a cloud-led, data-centric software company, only NetApp can help build your unique data fabric, simplify and connect your cloud, and securely deliver the right data, services, and applications to the right people—anytime, anywhere.

Sela

We partner with Google to Extend your teams. As a MSP premier partner of Google Cloud, we aim to extend our customers' teams as mentors, troubleshooters or hands-on - 24 X 7. From assessment through migration to optimization, our experts make our customers’ cloud journey smarter, faster and simpler. As a Managed Services company, Sela offers to migrate and modernize your infrastructure and applications to the Google Cloud Platform and provide ongoing managed services. The Managed Services on GCP environments include continuing maintenance, optimization, configure for your business. Sela's experts use Google cloud best practices to maximize the value of our managed services. In addition, we provide Google Cloud workspace, FinOps solutions & reviews, and managed services to keep your company at the forefront of Cloud Innovation.

VMware

VMware is a leading provider of multi-cloud services for all apps, accelerating innovation with a cloud-smart approach. Our software delivers the freedom and control organizations need to move faster and spend less. Headquartered in Palo Alto, California, VMware is committed to building a better future through the company’s 2030 Agenda.

Confluent

Confluent connects and processes all your data in real time with a cloud-native and complete data streaming platform. Google Cloud customers can accelerate their adoption of Apache Kafka® with effortless deployment options, and can quickly connect to the industry leading analytics services with pre-built and fully managed integrations to Google Cloud.

Foundation

doiT

TeraSky creates masterful solutions for customers during their digital transformation journey. We assist our customers to migrate to the cloud, manage to scale data center infrastructure, build software creation platforms, properly protect customers’ valuable data, and secure large-scale operations. Whether you are a traditional business in need of digital transformation, or a born-to-the-cloud startup facing the challenges of expansion and scale, you can trust the journey with TeraSky.

datadog

Datadog is the monitoring and security platform for infrastructure, applications, logs, and more. Through its unified SaaS platform, Datadog provides comprehensive and deep visibility into the performance and security of modern applications.

Fastly

Fastly is today’s leading edge cloud platform, helping you deliver the best online experiences possible to your users. Our edge cloud platform moves data and applications as close to your end users as possible to improve site performance, enhance security, and empower your innovation at global scale.

Coralogix

Full-Stack Observability for Modern Applications- Generate infinite insights for logs, metrics, tracing, and security data. Analyze and monitor all of your system data in a single, centralized platform. Connect any data, in any format, from any source to visualize and query together using any syntax for extensive event correlation and streamlined troubleshooting. Powered by Streama© is our proprietary streaming data pipeline that analyzes data in real-time with unique state stores in-stream for long-term insights with no reliance on indexing or storage.

Thales

We are the worldwide leader in data protection, providing everything an organization needs to protect and manage its data, identities and intellectual property – through encryption, advanced key management, tokenization, and authentication and access management. Whether it’s securing the cloud, digital payments, blockchain or the Internet of Things, security professionals around the globe rely on Thales to confidently accelerate their organization’s digital transformation. Thales Cloud Protection & Licensing is part of Thales Group.

Jutomate Ltd

Jutomate is an end-to-end data solution company that helps companies of all sizes- from startups to enterprises, become data-driven. Helping them to gain better insights and make better business decisions based on their data, using cutting-edge technologies according to their use case and needs.

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