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
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.
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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
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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
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11:45
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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, LLM Specialist, Google Cloud
Oded Shvartz, Director of Engineering, Torq
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12:45
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13:00
Gemini for Cloud Engineers
This session explores how Cloud Operations Engineers can leverage Gemini's Large Language Models on Google Cloud to enhance their workflows and streamline operations. We'll delve into practical use cases and explore how LLMs can automate tasks, improve troubleshooting, and facilitate knowledge sharing within Cloud Ops teams.
Level: Knowledgeable
Guy Shafir, CTO, Wideops
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13:30
Code Less, Achieve More: Building Data Agents with Gemini and Vertex AI (Live!)
Witness a live demo showcasing a faster approach to data agent creation. See Gemini generate the API code for data retrieval, craft the OpenAPI specs, and leverage Google Cloud Agent Builder to construct the agent itself. Leave empowered to automate development and simplify data access!
Level: Knowledgeable
Leon Jalfon, Tech Lead, Commit
Jonathan Jalfon, Google Cloud Architect, Commit
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13:45
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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
Regev Ben Simon, Co-founder & CTO, Flexor
Eitan Cesark, R&D Director, Israel Customs Authority
Yochai Kares, Data Science Group Leader, Israel Customs Authority
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14:45
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15:00
GenAI 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
Yoav Yanovski, Engineering Manager, Chronicle SOAR, Google Cloud
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15:45
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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.
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11:00
GKE for the Enterprise: Future Autoscaling and More
This session explores the capabilities of GKE Enterprise, Google Cloud's premium Kubernetes platform designed to streamline the management of complex clusters and diverse workloads, delving into how it addresses enterprise concerns with enhanced security features, integrated tooling, and advanced monitoring. We'll also discuss the upcoming autoscaling capabilities in the GKE platform. Finally, we'll hear a real-world customer story showcasing how an organization successfully leveraged Google Cloud Platform, specifically GKE, to achieve their broader cloud objectives. This case study will offer practical insights and lessons learned, including specific examples of how GKE was used to manage containerized workloads, that can be applied to your own enterprise cloud and Kubernetes deployments.
Level: Knowledgeable
Yonit Gruber-hazani, Customer Engineer, Google Cloud
Amir Marouani, Customer Engineer, Google Cloud
Ziv Vilozni, Senior DevOps Engineer, Transmit Security
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11:45
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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
Satish Kondalam, Product Manager, Cloud Networking, Google Cloud
Anoop Vetteth, Director, Product Management, Networking Security, Google Cloud
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12:45
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13:00
SOC – Without Next Gen, Just SOC That Works
Companies tend to talk about technology or new Features related to SOC or even about autonomous SOC – however before this discussion is in place - Does your organization have a clear SOC mission? What are the services SOC should provide to your organization? Is it just monitoring ? Most organizations talk about the SOC’s technology before having a clear definition of the SOC mission, services, clients and more. In the session we will talk about different approaches for building SOC to maximize the benefits and mitigate risks.
Level: Knowledgeable
Lior Kalev, Cyber Leader, Deloitte Israel
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13:15
From Zero to Trust Hero in 10 Minutes
Let's bridge the gap between "Network" and "Security" inside Google Cloud by both learning about the ZeroTrust model and seeing some practical day-to-day use cases to secure your applications and cloud resources in a mere 10 minutes.
Level: Knowledgeable
Issac Goldstand, Staff Cloud Architect, CloudEx
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13:30
API Security with GCP Service Extensions
At Google NEXT ‘24, Google unveils its Service Extensions for Load Balancing, enhancing its widely utilized Load Balancing solution. These Service Extensions offer comprehensive visibility into network traffic and facilitate seamless integration, presenting a significant advancement for Cybersecurity providers globally. We'll introduce the implications for PANW's CNAPP solution, specifically on our API Protection capability.
Level: Knowledgeable
Ori Berkovitch, Sr Principal / Architect Engineer Software, Palo Alto
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14:00
Start Secured to Stay Secured: Best Practices for Strong Cloud Security
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
Maor Hazan, Cloud Security Architect, Google Cloud
Aviv Grebler, Customer Engineer, Security, Google Cloud
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14:45
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15:00
The New Era of Google Cloud Observability
This session dives into the changes happening in Google Cloud Observability, which has recently shifted from Cloud Operations to Observability. We'll discuss new features like Gemini, Playbooks, Analytics, and improved dashboarding options, all aimed at making Google Cloud Observability one of the most advanced tools out there. Join us as we explore these updates and look ahead to what the future holds.
Level: Knowledgeable
Dani Kaganovitch, Customer Engineer, Google Cloud
Rami Shalom, Director, Product Management, Google Cloud
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15:45
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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
Modi Finkelstein, Filestore Product Manager, 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.
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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
Roee Sheffer, VP R&D, Arpeely
Moran Cohen Koller, Director of data, Arpeely
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11:45
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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, and popular open-source orchestration frameworks such as LangChain.
Level: Knowledgeable
Moshe Youdkovich, Data management Customer Engineer, Google Cloud
David Gang, Tech Lead, Lightricks
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12:45
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13:00
Build GenAI Powered Application with Your Own Data at Scale
This session dives into the exciting world of Generative AI and empowers you to leverage its power with your own data. We'll explore how to build custom applications at scale, transforming your unique datasets into powerful tools. Whether you're a developer, data scientist, or simply curious about the future of AI, this session will equip you with the knowledge and tools to unlock the creative potential of your data through Gen-AI.
Level: Knowledgeable
Liron Ratzabi, Sr. Software and Cloud Solutions Architect, Sela
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13:15
GenAI and BigQuery: Unlocking Data-Driven Coaching Notes for Players
In this session, we will explore how BigQuery and Generative AI can transform your football club's coaching practices. We will use LLMs to generate clear summaries of player notes, highlighting strengths and weaknesses in personalized language. Additionally, we will employ embedding techniques and vector search to uncover team-level trends, all using BigQuery.
Level: Knowledgeable
Nadav Weissman, Senior Cloud Data and ML Architect, DoIT
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13:30
Empowering Real-Time Apps, Graph and AI using Aerospike
In this technical presentation, we delve into the powerful capabilities of Aerospike, a cloud-first, AI-ready database. Aerospike is designed to efficiently handle massive data volumes with low latency, making it an ideal choice for mission critical real-time applications and AI workloads.
Level: Knowledgeable
Oshrat Ben Avi Zabludovitz, Regional sales director, Aerospike
Zohar Elkayam, Solutions Architect and Consultant, Aerospike
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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.
Liat Sbag, Data and Analytics CE, Google Cloud
Michael Gadaev, Data and Analytics CE, Google Cloud
Ori Arbel, CTO, CYREBRO
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14:45
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15:00
Power Data Analytics with GenAI 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 flexible IA 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 CE, Google Cloud
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15:45
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16:00
Simplify Your Database Journey with Gemini in Databases
Your transactional database powers many applications – from Analytics to generative AI and interactive online systems. Explore how we harness the power of AI through LLMs to provide an AI-driven database assistant to manage your entire database estate. In addition, we will discuss a transformative approach on how to break down the barriers between analytic and operational systems.
Level: Knowledgeable
Oren Bouni, Data Management CE, 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.
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11:00
Latest GenAI Announcements
Level: Knowledgeable
Uri Katsir, Customer Engineer, Google Cloud
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11:45
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12:00
Building Blocks of LLM Applications
Level: Knowledgeable
Uri Katsir, Customer Engineer, Google Cloud
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12:45
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13:00
Data Management: Real-Time Analytics, AI, and SaaS
This lecture examines the intersection of real-time analytics, data warehousing, and AI in data management. We compare the immediacy of real-time analytics with the historical depth of data warehouses, and consider the shift to SaaS multi-tenant analytics for its scalability and accessibility. The role of Large Language Models (LLMs) in AI analytics is explored for their text processing capabilities. We also discuss the integration of real-time and vector AI, and databases that enable this technology, highlighting their support for high-dimensional data and vector operations. This session provides insights into the converging trends shaping the future of data management.
Level: Knowledgeable
Golan Nahum, CEO, Twingo
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13:15
Why Deploying LLMs is So Expensive, and How to Dramatically Cut Costs
LLM adoption is growing rapidly. But the diversity of model choice, compute availability, and cost of running models at scale is causing sticker shock among early adopters. The problem is that most companies run the latest and greatest LLM, rather than selecting the most optimal model for their query based on price and performance. Why? Because identifying the model manually is nearly impossible. The solution is automation. During this session, we’ll explain how organizations can use automation to reduce costs without requiring organizations to swap their existing technology stacks or even change a line of application code.
Level: Knowledgeable
Itai Ben Dror, VP of Corporate Development, Cast.AI
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13:30
Building Blocks of LLM Applications (Cont.)
Level: Knowledgeable
Uri Katsir, Customer Engineer, Google Cloud
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14:15
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14:30
Lab: Building a Comprehensive Blueprint
Level: Knowledgeable
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15:15
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15:30
Lab: Building a Comprehensive Blueprint (Cont.)
Level: Knowledgeable
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.
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11:00
Latest GenAI Announcements
Level: Knowledgeable
Sveta Morag, Cloud Solutions Architect, Google Cloud
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11:45
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12:00
Power Data Analytics with GenAI 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 flexible IA model yet, directly within BigQuery to simplify advanced use cases such as sentiment analysis, entity extraction, and many more.
Level: Knowledgeable
Shai Harodi, Data Management CE, Google Cloud
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12:45
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13:00
Securing LLM Services
Level: Knowledgeable
Liad Dayan, Customer Engineer, Google Cloud
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13:45
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14:00
Lab: RAG & Semantic Search with BigQuery
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14:45
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15:00
Lab: Analyze Images With Gemini Vision & BigQuery
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.
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11:00
Google Cloud: Powering the Future of Startups
Naama Yanko, Head of Startup & VC Business Development, Google Cloud
Ran Gat, Head of New Business and Early Stage Startups, Google Cloud
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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
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11:45
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.
Maor Friedman, General Partner, F2 Venture Capital
Yael Schiff, Investor, Bessemer Venture Partners
Zvika Orron, General Partner, Viola Ventures
Moderator: Naama Yanko, Head of Startup & VC Business Development, Google Cloud
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12:15
The Story of Run.ai
This session offers a rare opportunity to hear from Omri Geller, CEO of Run:ai, a leader in AI infrastructure management. Omri will share his personal journey as a founder, navigating the complex path from initial idea to achieving product-market fit and ultimately establishing a successful go-to-market strategy that ultimately culminated in the successful acquisition of his company by NVIDIA.
Omri Geller, Co-founder & CEO of Run.ai
Ran Gat, Head of New Business and Early Stage Startups, Google Cloud
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12:45
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13:00
The Journey From 1 to 100: What Does It Really Take to Sell to Global Corporates
Selling your product to a corporation is the holy grail of every startup, but in reality it’s just the first step towards real success - scale. This session will focus on the steps towards scale, the motivation of the different stakeholders, and what actually happens inside a corporation when they interact with startups.
Amit Harel, Partner, Deloitte Catalyst Tel Aviv Leader
Sharon Argov, CMO, AI21Lab
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13:45
Entrepreneurship 101: Must-Know Lessons for Aspiring Founders
Lessons for aspiring: Aspiring founders, this session is for you! Learn from the Google cloud early stage team about the essential skills and strategies you need to navigate the startup journey and turn your ambitious ideas into successful businesses.
Janina Lax, Head of Early Stage, Google Cloud
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14:00
How to Successfully Onboard Your Startup to GCP Marketplace - Lessons Learned From the Field
During this session, CloudZone will share a step-by-step best practice for listing a SaaS product on the Google Cloud Marketplace through a real customer story - focusing on key areas such as architecture, security, user experience, and pricing. You will also learn about the technical and business requirements needed to create a listing on the Google Cloud Marketplace.
Haim Ben-Hayim, Chief Business Officer, CloudZone
Amir Hazoom, EMEA Senior Presales Engineer, CloudZone