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Google Cloud Next '25

2025-04-09 Google Cloud Next Visit website ↗

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165

Google Cloud Next Conference (25)

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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!

Architectural approaches for RAG infrastructure

2025-04-11
session
Megan O'Keefe (Google Cloud) , Kumar Dhanagopal (Google Cloud)

Unlock the power of generative AI with retrieval augmented generation (RAG) on Google Cloud. In this session, we’ll navigate key architectural decisions to deploy and run RAG apps: from model and app hosting to data ingestion and vector store choice. We’ll cover reference architecture options – from an easy-to-deploy approach with Vertex AI RAG Engine, to a fully managed solution on Vertex AI, to a flexible DIY topology with Google Kubernetes Engine and open source tools – and compare trade-offs between operational simplicity and granular control.

Build scalable apps with Firestore and Firebase

2025-04-11
session
Raghu Penumalee (Ford) , Kara Yu (Google Cloud) , Alexander Schiff (Ford) , Dong Chang (Google Cloud)

Discover how some of the world’s most innovative companies modernized and transformed their applications with the power of Firestore, Firebase, and cutting-edge generative AI. Learn how they leveraged the latest technologies, such as edge computing and AI, to enhance customer experiences at every stage of the customer journey. Explore their innovative architecture and gain insights into building modern, engaging applications that deliver exceptional customer experiences.

How to accelerate AI app development and use AlloyDB Omni in any environment

2025-04-11
session
Emir Okan (Google Cloud) , John Kennedy (Aiven) , Bjoern Rost (Google Cloud)

Experience the power of AlloyDB Omni, a cutting-edge PostgreSQL-compatible database designed for multicloud and hybrid cloud environments. This session explores how AlloyDB Omni accelerates the development of modern applications, enabling generative AI experiences, efficient vector search, real-time operational analytics, and scalable transactional performance. We’ll also showcase how to run your applications on multiple clouds using Aiven’s seamless managed service, and how to supercharge hybrid cloud deployments with cloud-ready partners.

SRE for gen AI workloads: Are you ready?

2025-04-11
session
Fahd Ekadioin (Google Cloud) , Manasa Kandula (Google Cloud)

Are you a site reliability engineer (SRE) for an organization running generative AI workloads? If gen AI is transforming your workloads, are your SRE skills keeping pace? This session is a must for SREs facing the unique challenges of gen AI. Learn to adapt the four golden signals – tackling latency in multistage pipelines, user satisfaction in nondeterministic systems, and new error types like hallucinations. Discover how Google Cloud Observability and Firebase Genkit AI monitoring can help you master gen AI SRE.

Build production-grade gen AI apps with Cloud SQL for MySQL and PostgreSQL in less than 30 minutes

2025-04-11
session
Ravi Maganti (Manhattan Associates) , Shambhu Hegde (Google Cloud) , Isabella Lubin (Google Cloud)

Time to make generative AI a reality for your application. This session is all about how to build high-performance gen AI applications fast with Cloud SQL for MySQL and PostgreSQL. Learn about Google Cloud’s innovative full-stack solutions that make gen AI app development, deployment, and operations simple and easy – even when deploying high-performance, production-grade applications. We’ll highlight best practices for getting started with Vertex AI, Cloud Run, Google Kubernetes Engine, and Cloud SQL, so that you can focus on gen AI application development from the get-go.

GKE gen AI Inference: Deploy gen AI inference and save up to 30%

2025-04-11
session
Vinay Kola (Snap) , Shub Shrivastava (Google Cloud) , Akshay Ram (Google)

Maximize your Gen AI inference performance on GKE. This session dives into the latest Kubernetes and GKE advancements, revealing how to achieve significant cost savings, reduced latency, and increased throughput. Discover new inference features on GKE for optimizing load balancing, scaling, accelerator selection, and overall usability. Plus, hear directly from Snap Inc. about their journey re-architecting their inference platform for the demands of Gen AI.

Personalized financial education

2025-04-11
session
Jim Slocum (OneUnited Bank) , Kevin Cohee (OneUnited Bank) , Jim Anderson (Google Cloud)

The wealth gap remains a persistent challenge, but generative AI offers new tools to address this complex issue. In this fireside chat, Kevin Cohee, CEO of OneUnited Bank, will share his vision for leveraging GenAI to create economic opportunity for underserved communities. Learn how OneUnited Bank's partnership with Google Cloud is driving personalized financial education and wealth management solutions, paving the way for a more equitable future.

Unlocking generative AI for on-premises environments

2025-04-11
session
Kaushik Bhandankar (Google Cloud) , Chee Kin Loh (Centre for Strategic Infocomm Technologies) , Rohan Grover (Google Cloud)

Organizations with strict data residency requirements often struggle to leverage AI and the latest in cloud innovations on-premises. Learn how to architect gen AI optimized applications for success using LLMs, cloud infrastructure, and data on-premises without compromising on data sovereignty, security, or latency in this technical deep dive session.

Web3 for startups: Leveraging genAI to accelerate blockchain development

2025-04-11
session
Nalin Mittal (Google Cloud) , Adit Patel (Blockscope)

Simplify blockchain development with generative AI on Google Cloud. In this interactive session, you’ll learn how Gemini AI helps generate queries for BigQuery blockchain datasets and analyzes real-time blockchain data. See how Blockscope is using Gemini to conduct forensic analysis of blockchain data. Live demos will show you how to supercharge your Web3 projects, whether you're a blockchain veteran or just starting out.

Optimizing retail with Generative AI: enhancing order management and satisfaction

2025-04-11
session
Sreenivasu Komanduri (Cognizant)

Despite the robustness of a retailer's order management system, external factors can disrupt both employee and customer experiences. Cognizant tackled the Must-Arrive-By-Date (MABD) challenge, crucial for ensuring timely shipments. Their OMS Gen AI solution features an intelligent assistant that predicts PO delays and recommends actions to guarantee on-time arrivals. This innovation delights store associates and customers alike, ensuring shelves remain stocked even under extreme weather conditions.

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.

Unlock gen AI value: Avoid common enterprise pitfalls

2025-04-11
session
Dave Nguyen (Google Cloud)

Don't let Gen AI pitfalls derail your enterprise's success. We explore common challenges that hinder implementation, including prioritization paralysis, the seductive "proof-of-concept" trap, managing unpredictable outputs and model hallucinations, and keeping pace with rapid innovation. We highlight strategies to mitigate these risks, emphasizing the crucial role of your unique data in achieving competitive advantage. Increase your chances of achieving meaningful gen AI success by learning how to navigate these obstacles.

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.

Transforming Contract Negotiations with Generative AI: Speed, Accuracy, and Risk Management

2025-04-11
session
Rachit Gupta (Cognizant)

We invite you to explore how Cognizant's Generative AI-powered solution transforms contract negotiations. This advanced technology reduces contract review time from 92 minutes to just 26 seconds, achieving a 10% increase in accuracy. It possesses a distinctive ability to identify and risk-score non-standard contract language, equipping negotiators with a contextual understanding of risk levels. This solution facilitates data-driven decision-making, mitigates financial risks, and provides a proactive approach to contract management.

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.

Accelerated AI-driven mainframe modernization by Definity and Quantiphi

2025-04-11
session
Mohak Moondra (Quantiphi Inc.) , Manjula Vadlamudi (Definity)

Definity and Quantiphi share the transformative journey of AI-driven Mainframe Modernization. By building a future-proof platform on Google Cloud for their legacy infrastructure and using Quantiphi’s GenAI-based developer productivity accelerator called 'Codeaira', Definity is unlocking a new wave of innovation in the insurance industry.  This session will address the value of AI-driven digital transformation in tackling the insurance sector's business and technical challenges while improving efficiency, customer engagement, and analytics.

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 data product development with Gen AI

2025-04-11
session
Vishnu Kamalnath (McKinsey & Company) , Nishant Kumar (McKinsey & Company)

Discover how to integrate AI and Gen AI capabilities to unblock data quality issues, streamline the deployment processes of a data platform, and empower data teams to accelerate the development of customized data products. By automating data product and pipeline creation, infrastructure deployment, data quality, and PII controls, you can reduce engineering efforts by 30-40% and develop products three times faster. Learn how this approach has helped clients create data products faster and more cost-efficiently across various industries.

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.

Build transformative applications with Spanner's multi-model features

2025-04-11
session
Evandro Oliveira (Unico) , Michael Labib (Google Cloud)

The next generation of intelligent business applications is here and powered by generative AI. In this session, you will learn about Spanner's latest graph capabilities and how GraphRAG can help you deliver richer contextual generative AI applications. Discover how to leverage a consolidated data platform to create smarter, more intuitive applications and drive business innovation.

How to deploy and manage APIs across environments with Apigee anywhere

2025-04-11
session
Russ Kole (Google Cloud) , Nils Swart (Google Cloud) , Chris Bock (540.co) , Mark Ostrander (540.co)

In today’s fast-paced market, data is key to innovation. This session explores how Apigee, combined with Google Distributed Cloud, enables organizations to unlock the value of their data, regardless of its location. Learn how to operationalize data across legacy systems, the cloud, and edge environments to build cutting-edge solutions like generative AI and advanced analytics. Discover how Apigee simplifies data accessibility and interoperability, accelerating your time to market and maximizing the potential of your data assets.

Less artificial, more intelligence

2025-04-11
session
Bing Wan Tang (Government Technology Agency of Singapore) , Luis Uguina (Macquarie Banking and Financial Services Group) , Karan Bajwa (Google Cloud) , Jason Liao (Oppo) , Luis Carlos Cruz Huertas (DBS Bank)

This session explores real-world success stories from world-leading companies in financial services, retail, healthcare, gaming sectors, and more. The forum is ideal for business leaders, technical executives, product managers, and developers to see how gen AI is being used for automation, personalization, knowledge extraction, differentiated experiences, operational efficiency, and user protection within their own organizations.

Small teams with big impacts: Transform with AI

2025-04-11
session
Helene Ambiana (Google Cloud) , John Wingate (BankSocial) , Nancy Belmont (MARi) , Judsen Schneider (Nashville Biosciences)

Leaders of small businesses from around the globe take the stage to discuss how they’re using generative AI to bring positive change to their communities and environment. In this panel, we’ll show you how there are no limits to what your business can create.

The latest vector search and AI innovations in AIloyDB

2025-04-11
session
Corey Nolet (NVIDIA) , Tabby Lewis-Simó (Google Cloud) , Sanjay Mishra (Google) , Alan Li (Google Cloud)

This session offers a technical deep dive of the state-of-art AlloyDB AI capabilities for building highly accurate and relevant generative AI applications using real-time data. We’ll cover vector search using Google Research’s ScaNN index technology and cover how you can utilize Gemini from AlloyDB operators to seamlessly integrate into your application. Discover AlloyDB AI natural language feature, a new way to interact with databases and how it accurately and securely answers your questions. Also learn about the latest research between Google and NVIDIA on GPU-accelerated vector index builds in databases.

What’s new with Google Distributed Cloud

2025-04-11
session
Vithal Shirodkar (Google Cloud) , Pan Yong (Home Team Science & Technology Agency)

Learn how Google Distributed Cloud is bringing the power of cloud infrastructure and AI models to on-premise computing to unlock new opportunities for decision makers and developers without compromising on data residency, connectivity, regulatory compliance, or local data processing. Explore the future of distributed cloud computing with experts from Google Cloud and customers. Finally, we will dive deep into the latest generative AI, enterprise search, and configurations available in Google Distributed Cloud.

AI takes the wheel: Converse with vehicle manuals

2025-04-11
session
Shailesh Pai (Google) , Anita Gutta (Google)

"Talk-to-Manuals" leverages Google Cloud's Vertex AI Search and Conversation, along with a multi-turn GenAI agent, to provide customers with easy access to vehicle information. The solution integrates and indexes diverse data sources—including unstructured PDFs and structured data from FAQs—for efficient retrieval. Semantic search, powered by LLMs, understands user intent, delivering highly relevant results beyond keyword matching. The interactive multi-turn conversation guides users towards precise information, refining queries and increasing accuracy. Data filtering based on vehicle attributes (model, year, engine type) combined with sophisticated GenAI-powered post-processing ensures tailored results. The successful implementation of "Talk-to-Manuals" significantly improved customer service by providing a more accessible and intuitive way for customers to find information.

Generative AI in action: The GXO story

2025-04-11
session
Ramin Rastin (GXO) , Americo Rodriguez (GXO) , Nitin Soni (Google)

Join GXO's SVP of Data/AI/ML, Ramin Rastin, and Senior Director of Data, Americo, as they share their remarkable journey of implementing Generative AI and Vertex AI within their organization. Discover how GXO leveraged Google Cloud's cutting-edge technology to achieve significant scalability and efficiency gains, enhance business operations, and improve user experience. In this session, you'll learn how GXO: Scaled rapidly: Deployed 15-20 AI-powered assistants within the first six months of 2025, each reducing workloads by 40-60%. Enhanced flexibility: Developed a Generic Chat Assistant mid-project to adapt to evolving business needs. Improved accessibility: Created an intuitive user interface for all users, regardless of technical expertise. Centralized control: Implemented an Admin Page with role-based access control for enhanced security and governance.

Build and deploy multi-agent applications with Vertex AI

2025-04-11
session
Alex Braylan (Revionics) , Aakriti Bhargava (Revionics) , Derek Egan (Google Cloud) , Anand Iyer (Google Cloud) , Bryan Goodman (Ford Motor Company)

Ready to build production-grade AI agents to solve real-world challenges? Join us for a deep dive on the Vertex AI Agent Builder. Learn how to create sophisticated, multi-agent applications that combine generative AI with deterministic workflows. We'll cover key features including the Google Agent Development Kit (ADK), the Vertex AI Agent Garden, and the Vertex AI Agent Engine. We’ll show you how to build, deploy and monitor agents in production. You will also learn directly from customers about their agents built on Vertex AI.

Democratizing AI and ML: Building and scaling with BigQuery and Vertex AI

2025-04-11
session
Nivedita Kumari (Google Cloud) , Surya Kunju (Google Cloud)

Generative AI and machine learning (ML) are transforming industries, but many smaller organizations believe these technologies are out of reach due to limited resources and specialized skills. In this session, we’ll demonstrate how BigQuery is changing the game, making gen AI and ML accessible to teams of all sizes. Learn how BigQuery – with its serverless architecture, built-in ML capabilities, and integration with Vertex AI – empowers smaller teams to unlock the power of AI, drive innovation, and gain a competitive edge.