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Google Cloud Next '25

2025-04-09 Google Cloud Next Visit website ↗

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574

Google Cloud Next Conference (25)

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Real-world success stories: How gen AI is revolutionizing industries

2025-04-11
session
Barath Narayanan S S (Persistent Systems) , David Billings (EPAM) , Pallab Deb (Google Cloud) , Anil Jain (Google Cloud)

Discover real-world examples of how generative AI is delivering tangible success across key industries – and where this technology is headed next. Hear from two experienced Google Cloud partners, EPAM and Persistent, as they share their experiences of harnessing the broad power of gen AI to solve niche challenges within traditional organizations.

Hadoop pioneer to cloud innovator: Yahoo’s data lake modernization journey

2025-04-11
session
Akshay Sarma (Yahoo) , Ayyappan Arasu (Yahoo) , Dana Soltani (Google Cloud)

Get the inside story of Yahoo’s data lake transformation. As a Hadoop pioneer, Yahoo’s move to Google Cloud is a significant shift in data strategy. Explore the business drivers behind this transformation, technical hurdles encountered, and strategic partnership with Google Cloud that enabled a seamless migration. We’ll uncover key lessons, best practices for data lake modernization, and how Yahoo is using BigQuery, Dataproc, Pub/Sub, and other services to drive business value, enhance operational efficiency, and fuel their AI initiatives.

Human and nonhuman identities as the bedrock for cloud security

2025-04-11
session
Shaun Liu (Google Cloud) , Ravi Shah (Google Cloud) , Sai Kommareddy (Yahoo) , Henry Avetisyan (Yahoo)

In this session, we’ll explore how you can manage human and nonhuman identities on Google Cloud. We’ll discuss how these identities are defined, managed, and used to secure access to resources, and we’ll cover topics such as cryptographic managed workload identities, identity federation, and flexible identity onboarding options on Google Cloud.

Scaling multi-tenant AI platforms in the era of agentic AI with GKE

2025-04-11
session
Abhishek Sawarkar (Nvidia) , Brandon Royal (Google Cloud) , Jeremy Schulman (Major League Baseball)

Is your platform ready for the scale of rapidly evolving models and agents? In this session, we’ll explore strategies for scaling your cloud native AI platform - empowering teams to leverage an increasing variety of AI models and agent frameworks. We’ll dive into tools and practices for maintaining control and cost efficiency while enabling AI engineering teams to quickly iterate on Google Kubernetes Engine (GKE). We’ll explore how NVIDIA NIM microservices deliver optimized inference with minimal tuning. 

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.

Take multimodal data to gen AI with cloud databases and serverless runtimes

2025-04-11
session
Abirami Sukumaran (Google Cloud) , Shweta Shetye (Google Cloud)

This talk demonstrates a fashion app that leverages the power of AlloyDB, Google Cloud’s fully managed PostgreSQL-compatible database, to provide users with intelligent recommendations for matching outfits. User-uploaded data of their clothes triggers a styling insight on how to pair the outfit with matching real-time fashion advice. This is enabled through an intuitive contextual search (vector search) powered by AlloyDB and Google’s ScaNN index to deliver faster vector search results, low-latency querying, and response times. While we’re at it, we’ll showcase the power of the AlloyDB columnar engine on joins required by the application to generate style recommendations. To complete the experience, we’ll engage the Vertex AI Gemini API package from Spring and LangChain4j integrations for generative recommendations and a visual representation of the personalized style. This entire application is built on a Java Spring Boot framework and deployed serverlessly on Cloud Run, ensuring scalability and cost efficiency. This talk explores how these technologies work together to create a dynamic and engaging fashion experience.

vLLM on Google Cloud: Fast and easy-to-use LLM inference serving on TPUs and GPUs

2025-04-11
session
Woosuk Kwon (Google DeepMind) , Brittany Rockwell (Google Cloud) , Robert Shaw (Redhat)

Join Woosuk Kwon, Founder of vLLM, Robert Shaw, Director of Engineering at Red Hat, and Brittany Rockwell, Product Manager for vLLM on TPU, to learn about how vLLM is helping Google Cloud customers serve state-of-the-art models with high performance and ease of use across TPUs and GPUs.

Building Effective Agents

2025-04-11
session
Barry Zhang (Anthropic)

Join us as we explore the intersection of computer use capabilities and the broader challenge of building effective AI agents. We'll examine how these developments map to the core requirements of AI agents: the ability to plan through strong reasoning and contextual understanding, act via direct computer interaction and tool use, and reflect through learning from experience. We'll share insights from recent implementations, and explore how emerging capabilities in areas like computer use are shaping the development of more capable AI systems.

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.

Scale AI and business-critical workloads with Intel on Google Cloud​

2025-04-11
session
Kartik Manocha (Intel) , Olivia Melendez (Google)

Discover the power of Google Cloud instances running on the latest Intel Xeon processors. This course will introduce you to Intel’s optimization tools, designed to help you manage and optimize your infrastructure with unmatched efficiency and performance. Learn how to leverage these cutting-edge technologies to enhance your cloud computing capabilities and drive your business forward.​

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.

How LG AI Research uses AI Hypercomputer to build EXAONE Gen AI Models and experiences

2025-04-10
session
Honglak Lee (LG AI Research) , Pramod Ramarao (Google Cloud)

Learn how LG AI Research uses Google Cloud AI Hypercomputer to build their EXAONE family of LLMs and innovative Agentic AI experiences based the models. EXAONE 3.5, class of bilingual models that can learn and understand both Korean and English, recorded world-class performance in Korean. The collaboration between LG AI Research and Google Cloud enabled LG to significantly enhance model performance, reduce inference time, and improve resource efficiency through Google Cloud's easy-to-use scalable infrastructure

Networking 101

2025-04-10
session

In this hands-on lab, you’ll learn the fundamentals of networking in Google Cloud and how it differs from traditional on-premises setups. You'll build a network with three subnetworks and gain practical experience in creating firewall rules. Learn how to apply these rules using instance tags to control access across your environment. By the end of the session, you'll be equipped with the foundational knowledge to manage and secure Google Cloud networks effectively.

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!

Security Sandbox: ThreatSpace

2025-04-10
expo-experience

Experience what a real cyberattack is like in ThreatSpace, a digital training ground on Google Cloud. While the Mandiant red team tries to break into your system, the Mandiant incident response team guides you through the investigation. Use Google Security Operations and Threat Intelligence tools to uncover how the attackers got in and what they’ve done. Extra points if you can catch the bad guys!

Unlocking ML Performance Secrets: Actionable Diagnostics for TPUs and GPUs

2025-04-10
session
Rajesh Anantharaman (Google Cloud) , Niranjan Hira (Google)

Maximize the efficiency of your machine learning workloads on Google Cloud infrastructure. This session delivers actionable strategies for in-depth diagnostics on both TPUs and GPUs. Learn to visualize model architectures, analyze critical performance metrics, and pinpoint optimization opportunities. Empower your data-driven decision-making and achieve significant performance gains through practical diagnostic techniques.

Building an AI-Centric Organization: Aledade's Practical Playbook

2025-04-10
session
John Teuber (Glean) , Gabriel Phoenix (Aledade)

Join Aledade and Glean to discover how organizations can evolve from AI-curious to AI-centric. Learn how Aledade leveraged Glean's platform to navigate the AI maturity curve, moving beyond fragmented AI implementations to a cohesive strategy that drives measurable business outcomes. This session reveals practical steps for developing AI-centric employees, implementing centralized AI infrastructure, and maximizing ROI while avoiding the "AI tax" of disconnected solutions.

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.

How to measure your data team’s ROI in the age of AI

2025-04-10
session
Julia Slisz (Hex)

Spoiler alert: you can’t! But, there are some new approaches to teaming, measurement tracking, and technology that modern data teams are applying, changing their reputation in the organization from a cost center to a strategic value-add. We’ll share how Hex customers are revolutionizing the data field, explore the evolving impact of AI on data, and provide honest, actionable insights for data leaders, practitioners, and executives.

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.

Intro to Gemini 2.0 Flash

2025-04-10
session

This hands-on lab introduces Gemini 2.0 Flash, the powerful new multimodal AI model from Google DeepMind, available through the Gemini API in Vertex AI. You'll explore its significantly improved speed, performance, and quality while learning to leverage its capabilities for tasks like text and code generation, multimodal data processing, and function calling. The lab also covers advanced features such as asynchronous methods, system instructions, controlled generation, safety settings, grounding with Google Search, and token counting.

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!

Log analytics on Google Cloud

2025-04-10
session

Unlock the power of your application logs with Google Cloud Logging. This hands-on lab provides hands-on experience using Cloud Logging to gain deep insights into your applications, particularly on Google Kubernetes Engine. Learn to build effective queries and proactively address potential issues.

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!

Multimodal Retrieval Augmented Generation (RAG) using the Vertex AI Gemini API

2025-04-10
session

Build a multimodal search engine with Gemini and Vertex AI. This hands-on lab demonstrates Retrieval Augmented Generation (RAG) to query documents containing text and images. Learn to extract metadata, generate embeddings, and search using text or image queries.

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!

Cloud certification meetup

2025-04-10
session
Abdelfettah Sghiouar (Google) , Luke Schlangen (Google Cloud)

Ready to advance your career in the cloud? This meetup is for anyone interested in earning a Google Cloud certification or adding to their certification portfolio. Get expert advice from certified professionals, connect with fellow learners, and discover the right certification path for you. Leave with helpful study tips and maybe even a few study partners!

Security Situation Room: Birds of a feather sessions

2025-04-10
expo-experience

Connect with other security professionals in our Birds of a Feather sessions. Dive into lively discussions with peers and Google Cloud experts on key security topics, including identity and access management, network security, multicloud monitoring, and more.

Solution Zone: Ask how to build with Agentspace

2025-04-10
expo-experience

Experience the future of AI with Google Cloud! Speak with Agentspace experts to learn how it can provide conversational assistance and take actions based on your company’s unique information. See topic details for each time block here.

Solution Zone: Ask how we built it

2025-04-10
expo-experience

Experience the future of AI with Google Cloud! Speak with customers who are building innovative AI solutions and learn directly from them. This experience offers a real-world look into "how we built it" discussions, giving you the chance to explore the possibilities. See detailed schedule of each timeblock here.

Accelerating Data Modernization with a Cloud-Native Platform on Google Cloud

2025-04-10
session
Maksood Mohiuddin (McKinsey & Company)

Discover how to transition from legacy, siloed systems to a unified, scalable, and insights-driven data platform on GCP. This session will cover best practices for data migration, overcoming common challenges, and integrating SaaS and third-party solutions using key Google Cloud services like BigQuery, Data Fusion, Cloud Storage, Application Integration, Cloud Run, Cloud Build, and Artifact Registry.

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.

Accelerating migration to Google Cloud at scale: Practical lessons

2025-04-10
session
Darren Lester (EPAM) , Robin Aveline (Deutsche Bank)

Deutsche Bank's Cloud Centre of Excellence is shaping the cloud strategy, advising, supporting, and governing the migration of hundreds of applications to Google Cloud. With EPAM's assistance, we've identified pain points and improved the migration process, making it faster, more cost-effective, more consistent, and of higher quality, achieving a 70% reduction in design duration. Join us to learn practical steps to accelerate your own cloud migration journey.

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.

Best practices from product-led growth at Google Cloud

2025-04-10
session
Sachin Agarwal (Google) , Kari Loftesness (Google Cloud)

This session provides a Google thought-leadership perspective on the importance of product-led growth for all organizations and how it can complement and accelerate sales-driven strategies. We’ll explain how we’ve scaled software-as-a-service (SaaS) product-led growth principles to Google Cloud, and we’ll illustrate how Google Cloud can be the ideal partner for creating, analyzing, and optimizing product-led growth efforts to drive incremental revenue without increasing sales head count.

Biotech innovation with AI for startups: From drug discovery to personalized medicine

2025-04-10
session
Kenneth Philbrick PhD (Google) , Noura Daadaa (Google Cloud)

Learn how to leverage Google Cloud's cutting-edge AI models to rapidly develop solutions for critical healthcare challenges. Gain practical skills and empower your startup to revolutionize diagnostics, drug discovery, and personalized treatment. This session provides the skills and confidence to build impactful AI solutions and tackle real-world biotech challenges.