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Google Cloud Next '25

2025-04-09 Google Cloud Next Visit website ↗

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1170

Google Cloud Next Conference (25)

Sessions & talks

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AI in action: Optimize your AI infrastructure

2025-04-11
session
Moontae Lee (LG AI Research) , Cesar Naranjo (Moloco) , Chelsie Czop (Google Cloud) , Kshetrajna Radhaven (Shopify) , Newfel Harrat (Google Cloud) , Kasper Piskorski, PhD (Technology Innovation Institute)

AI Hypercomputer is a revolutionary system designed to make implementing AI at scale easier and more efficient. In this session, we’ll explore the key benefits of AI Hypercomputer and how it simplifies complex AI infrastructure environments. Then, learn firsthand from industry leaders Shopify, Technology Innovation Institute, Moloco, and LG AI Research on how they leverage Google Cloud’s AI solutions to drive innovation and transform their businesses.

AI security and APIs: Address OWASP’s top 10 LLM and API risks

2025-04-11
session
Mourad Abbas (Renault) , Andrew Crabtree (Google Cloud) , Shelly Hershkovitz (Google Cloud)

APIs dominate the web, accounting for the majority of all internet traffic. And more AI means more APIs, because they act as an important mechanism to move data into and out of AI applications, AI agents, and large language models (LLMs). So how can you make sure all of these APIs are secure? In this session, we’ll take you through OWASP’s top 10 API and LLM security risks, and show you how to mitigate these risks using Google Cloud’s security portfolio, including Apigee, Model Armor, Cloud Armor, Google Security Operations, and Security Command Center.

Best practices for monitoring Vertex AI models

2025-04-11
session
Kate Brea (Google Cloud) , YQ Lu (Google Cloud)

Bring your laptop and join us for an interactive demo on how to apply large language models (LLMs) from the Vertex AI Model Garden to a business use case, and learn about best practices for monitoring these models in production. We’ll go through an exercise using Colab Enterprise notebooks and learn how to use out-of-the-box tools to monitor RED (rate, error, duration) metrics, configure alerts, and monitor the rate of successful predictions in order to ensure successful use of a Vertex AI model in production.

Closing the air gap: Securing industrial operations in the cloud

2025-04-11
session
Sean Tufts (Optiv) , Mark E Kikta (Whirlpool Corporation) , Vinod D'Souza (Google Cloud) , Paul Shaver (Google Cloud)

This panel explores the potential of cloud technologies for operational technology (OT) and the critical need for proactive cybersecurity measures. The convergence of OT and IT, driven by cloud adoption, presents both opportunities and challenges. Panelists will examine the benefits of cloud-based OT, such as increased efficiency, scalability, data-driven insights, and resilience, along with the opportunity to build with security in mind.

Dialing In: Firestore with MongoDB compatibility in Action

2025-04-11
session
Dana Hoffmann (Dialpad, Inc.) , Patrick Costello (Google Cloud) , Minh Nguyen (Google Cloud)

Firestore with MongoDB compatibility is a serverless database service  designed to maximize scalability, high availability and performance without the hidden costs of capacity planning. This session demonstrates the new Firestore with MongoDB compatibility capabilities and discusses how Dialpad has built an Ai-powered customer communications platform leveraging Firestore over the last 14 years to grow a successful, performant, reliable business.

Gemini Code Assist at scale: The enterprise edition

2025-04-11
session
Andrew Hockman (Google Cloud) , Scott Haaland (Google Cloud) , Ed Olson-Morgan (Marsh McLennan)
API

Learn how to manage security controls and licenses for thousands of users, and tie it all together with APIs. We’ll show you ways to manage developer access more efficiently, build custom management integrations, and keep your CISO happy at the same time. We’ll also demo the new Gemini Code Assist integration with Apigee, which lets developers use Gemini Code Assist chat to generate context-aware OpenAPI specifications that reuse components from other APIs in their organization for efficiency and reference organizational security standards.

How to optimize your data and analytics costs

2025-04-11
session
Murat Özcan (Trendyol) , Ozgur Uyar (Just Eat Takeaway) , Vinay Yerramilli (Google Cloud) , Ahmed Ayad (Google Cloud)

Join this session to learn best practices for optimizing your data and analytics costs. Discover new BigQuery capabilities that simplify workload management and provide greater cost controls and adherence to best practices. BigQuery customers Just Eat Takeaway and Trendyol will share their BigQuery migration journeys, scaling strategies, and how they used workload management and optimization tools to improve their return on investment (ROI).

Introducing Firebase Genkit: A new framework for AI development

2025-04-11
session
Esther Lloyd (Google Cloud) , Dmitry Lyalin (Google Cloud) , Chris Gill (Google Cloud)

Join us for an in-depth session on Firebase Genkit, an open source framework that simplifies the development of AI-powered applications. Discover how to use the Node.js and Go SDKs to build intelligent chatbots, multimodal content generators, streamlined automation workflows, and agentive experiences. We'll demonstrate how Genkit's unified interface seamlessly integrates Google's Gemini and Imagen models, self-hosted Ollama options, and a variety of popular models from Vertex AI Model Garden. 

Migrate from AWS and Azure to Google Cloud runtimes

2025-04-11
session
Vrinda Khurjekar (Searce) , Jatin Sharma (Google) , Bernhard Pfirrmann (Nokia) , Eitan Eibschutz (Google Cloud)

Migrating from AWS or Azure to Google Cloud runtimes can feel like navigating a maze of complex services and dependencies. In this session, we’ll explore key considerations for migrating legacy applications, emphasizing the “why not modernize?” approach with a practice guide. We’ll share real-world examples of successful transformations. And we’ll go beyond theory with a live product demo that showcases migration tools, and a code assessment demo powered by Gemini that demonstrates how you can understand and modernize legacy code.

Not-so-loosely-typed JavaScript with TypeScript, Zod, and Effect.ts

2025-04-11
session
Luke Schlangen (Google Cloud)

JavaScript gets a lot of flak for not being strongly typed. But if you’re running JavaScript in production today, you don’t need to wait for runtime errors to catch problems. TypeScript has taken JavaScript from a loosely typed language, where a variable can change from a string to a number without warning, and made it strongly typed. Now Zod and Effect are here to tame even the wildest unknown parameters from your users. We’ll demonstrate using these tools in an application and we’ll deploy that application to Google Cloud.

Secure your cloud with Google Cloud’s security and compliance innovations

2025-04-11
session
Simon Bennett (Google Cloud) , Erlander Lo (Google Cloud)

Learn how to leverage Google Cloud’s innovations to build the most secure and compliant solutions with Confidential Computing, offloads, and Assured Workload capabilities.

Use real-time data for AI/ML workloads in BigQuery

2025-04-11
session
Prateek Duble (Google Cloud) , Nick Orlove (Google Cloud) , Sandhya Kapoor (Flipkart)

Simplify real-time data analytics and build event-driven, AI-powered applications using BigQuery and Pub/Sub. Learn to ingest and process massive streaming data from users, devices, and microservices for immediate insights and rapid action. Explore BigQuery's continuous queries for real-time analytics and ML model training. Discover how Flipkart, India’s leading e-commerce platform, leverages Google Cloud to build scalable, efficient real-time data pipelines and AI/ML solutions, and gain insights on driving business value through real–time data.

Drive deal velocity through the channel with Google Cloud Marketplace

2025-04-11
session
Brian Stavis (Google Cloud) , Lekan Bashua (Google Cloud)

Cloud marketplaces are projected to reach $85B by 2028, with over half involving channel partners (Source: Canalys). Google Cloud Marketplace offers a unique advantage for Channel Partners and ISVs to collaborate and succeed. Learn about the latest platform capabilities to drive deal velocity, new resell offerings and incentives designed to scale growth. Tap into new revenue through the channel and thrive in the evolving cloud marketplace.

Intro to Generating and Executing Python Code with Gemini 2.0

2025-04-11
session

Unlock the power of code execution with Gemini 2.0 Flash! This hands-on lab demonstrates how to generate and run Python code directly within the Gemini API. Learn to use this capability for tasks like solving equations, processing text, and building code-driven applications.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!

How AI is transforming gameplay and player experiences

2025-04-11
session
Joonsoo Lee (NC Soft) , Jack Buser (Google)

Join us as we explore the exciting future of AI in gaming. This session will showcase how leading organizations are leveraging machine learning and other AI technologies to create next-generation games experiences. Discover how AI is shaping the evolution of gameplay, storytelling, and player interaction, and gain insights into the trends that will define the future of interactive entertainment.

Security Situation Room: Security tabletop workshop

2025-04-11
expo-experience

Test your incident response skills in the Security Tabletop Workshop, an exercise that simulates a realistic cyberattack to assess and improve an organization’s security posture. Tabletop exercises are a critical component of any cybersecurity strategy, helping your team reduce the impact of cyberattacks, evaluate response strategies, address gaps, foster collaboration, and clarify roles during a crisis.

SOC Arena

2025-04-11
expo-experience

Take part in the new SOC Experience – a view into real-world attack scenarios. Learn about the latest hacker tactics and how Google equips cybersecurity teams with the data, AI, and scalable analytics to detect and remediate attacks.

Build an AI agent in 15 minutes with MongoDB Atlas Vector Search

2025-04-11
session
Stanimira Vlaeva (MongoDB)

In this session, you’ll learn how to build an AI agent using MongoDB Atlas on Google Cloud in just 15 minutes. We’ll cover how to embed and store your data along with vectors in a single database; build a vector search index and run search queries; and implement an AI agent.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Building an End-to-End AI Video Dubbing Pipeline on Google Cloud

2025-04-11
session
Konner Brewer (Google Cloud) , Dong Sun (Google)

In today’s global media landscape, localizing video content is key to reaching wider audiences. This session demonstrates how to build a robust, end-to-end AI video dubbing pipeline on Google Cloud—covering video ingestion, transcription, translation, captioning, voice cloning, voice synthesis, and quality checks. We’ll explore an architecture that seamlessly integrates GCP products and best practices, highlight market opportunities, and address key challenges in AI dubbing. Attendees will learn how to streamline workflows so users can simply submit their video and receive fully dubbed results. Join us to see how Google tackles dubbing hurdles to maintain its leading edge in global content localization.

Debugging apps on Google Kubernetes Engine

2025-04-11
session

Debug Google Kubernetes Engine (GKE) apps like a pro! This hands-on lab covers using Cloud Logging & Monitoring to detect, diagnose, and resolve issues in a microservices application deployed on GKE. Learn practical troubleshooting workflows.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!

Partner technical training: Level up with Google Cloud

2025-04-11
session
Linda Moss (Google Cloud)

Unlock your team's full potential with the power of Google Cloud training for partners. Explore the learning portfolio designed for partner practicioners including role-based learning paths, certification programs, skill badges, and more. Plus, we'll highlight the latest from the generative AI portfolio. Boost capabilities and drive customer success without compromising productivity!

Personalized realtime predictions with Gemini, Spanner, and BigQuery

2025-04-11
session
Yogesh Tewari (Google)

Personalized predictions can be created by analyzing user clickstream data and using vector embeddings to capture the essence of an entity across multiple dimensions. This establishes relationships between users and items, revealing preferences and interests. BigQuery facilitates batch processing of vector embeddings, which are then fed into Spanner for efficient retrieval of these relationships via vector search. This enables real-time personalized recommendations with sub-ms response times. This solution offers accuracy, scalability, and real-time responsiveness.

The startup founder's toast

2025-04-11
expo-experience

Celebrate the journey at The Startup Founder's Toast & Ice Cream Social. Join us for an inspiring closing session at Next 25, where we'll share stories, deepen connections, and toast to the innovation, resilience, and bold ideas of visionary founders.

Explore data with Gemini in BigQuery

2025-04-11
session

In this hands-on lab, you'll explore data with BigQuery's intuitive table explorer and data insight features, enabling you to gain valuable insights without writing SQL queries from scratch. Learn how to generate key insights from order item data, query location tables, and interact with your data seamlessly. By the end, you’ll be equipped to navigate complex datasets and uncover actionable insights quickly and efficiently.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!

How Contextual AI deploys specialized RAG agents in production with GCP

2025-04-11
session
Suds Narasimhan (Google Cloud) , Douwe Kiela (Contextual AI)

As AI adoption accelerates, many enterprises still face challenges building production-grade AI systems for high-value, knowledge-intensive use cases. RAG 2.0 is Contextual AI’s unique approach for solving mission-critical AI use cases, where accuracy requirements are high and there is a low tolerance for error. 

In this talk, Douwe Kiela—CEO of Contextual AI and co-inventor of RAG—will share lessons learned from deploying enterprise AI systems at scale. He will shed light on how RAG 2.0 differs from classic RAG, the common pitfalls and limitations while moving into production, and why AI practitioners would benefit from focusing less on individual model components and more on the systems-level perspective. You will also learn how Google Cloud’s flexible, reliable, and performant AI infrastructure enabled Contextual AI to build and operate their end-to-end platform.