Managing Google Cloud Storage at Scale with Gemini
Introduces new GCS management features and shares best practices to solve customers' goals of cost optimization, security and governance at billions of objects scale.
575
18.8
What's new in cloud networking
In today's dynamic landscape, organizations are developing applications and running workloads in hybrid/multicloud environments while adding generative AI.
1 162
29.4
The past, present, and future of Google Kubernetes Engine
Kubernetes is the de facto standard for running modern, containerized workloads in cloud.
445
20.9
Google Distributed Cloud's 2024 Roadmap
Discover the cutting-edge technologies and strategic advancements with Google Distributed Cloud's (GDC) 2024 roadmap.
1 180
43.4
How to design a service-centric cross-cloud network
Drowning in platform complexity and multicloud chaos?
733
34.5
Accelerate AI inference workloads with Google Cloud TPUs and GPUs
Deploying AI models at scale demands high-performance inference capabilities. Google Cloud offers a range of cloud tensor processing units (TPUs) and NVidia-powered graphics processing unit (GPU) VMs.
1 067
23.4
Boost your Android app with generative AI: Building the next generation of apps
Learn how to integrate generative AI capabilities with your Android. We’ll cover the solutions to run on-device gen AI inference for text and image generation.
1 025
12.3
Data governance in the AI era
As AI adoption continues to grow at a rapid pace, data governance will become critical to ensure high-quality data powers AI models and large language models.
4 225
22
Optimize BigQuery operations at Geotab
Explore how Geotab harnesses BigQuery to fuel a robust data-driven culture.
307
Harness AI for better business intelligence: What's new and how to apply it
Gemini in Looker has made the most complex data actions simple, letting you chat with your business data.
2 643
21.1
The “secret sauce” to certification-readiness
Ready to unlock the hidden ingredients to Google Cloud certification success? In this session, we'll unveil the secret formula for how to best prepare for Google Cloud Certifications.
73
Large language models in action: Transforming ideas into cloud architecture blueprints
This session demonstrates how to use large language models (LLMs) to translate ideas directly into cloud architecture blueprints.
206
Large language models and detecting AI-generated text
David Austin is a data scientist and a member of one of the top teams in Kaggle’s competition to detect AI-generated text.
96
Transform your SAP workload with Google Cloud
Plan, migrate, and deploy your mission-critical SAP workloads on Google Cloud’s highly available, secure, and scalable certified infrastructure.
400
14.5
Advanced productivity for data science
Data scientists are under pressure to produce more and better results with fewer resources. This session will explore how Vertex AI can help data scientists be more productive.
722
120
Generative AI use-cases and design patterns with Databases
This in-depth 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
966
31.9
Generative AI text and multimodal embedding models for real world use cases
Unleash the power of artificial intelligence (AI) to maximize embeddings to solve your unique business challenges.
3 740
24.1
Build continuous data and AI pipelines with BigQuery continuous queries
Learn about real-time AI-powered insights with BigQuery continuous queries, and how this new feature is poised to revolutionize data engineering by empowering event-driven and AI-driven data
3 274
21
Deliver the next generation of customer experiences with AI generated live images
AI-generated live images are a game-changer for enterprises.
182
How Unity powers their workloads on Google Kubernetes Engine
Join this session to discover how Unity, one of the world's top video game software developer, runs their deployment on Google Kubernetes Engine (GKE) on Google Cloud.
117
Dev to DevAI: The future of app development with analytics and gen AI
Application development in continuously breaking down silos. From Dev, DevTest, DevOps, DevSecOps, MLOps, Analytics, to… DevAI?
245
Operationalizing generative AI on Vertex AI
The emergence of foundation models and generative AI has introduced a new era for building AI systems.
490
26.9
Goodbye, deployment headaches: Cloud Deploy and Vertex AI unite
Continuous Deployment can be a roadblock in the MLOps lifecycle, often requiring custom pipelines and complex configurations. Solution?
401
18.8
Scale infrastructure as code: Proven strategies and productive workflows
Learn the proven strategies and approaches to creating scalable infrastructure, as code, with HashiCorp Terraform.
315
11.3
Rock-solid business continuity and data protection on Google Cloud
This session will explain how you can architect your mission-critical workloads on Google Cloud infrastructure to ensure high availability and resilience inline with your recovery point objective
122
Transforming software engineering with Google AI
Generative AI is transforming software engineering.
794
18.5
Supercharge app development and developer productivity with generative AI
Discover the power of gen AI in boosting developer productivity and innovation.
7 712
34.4
Bring the power of machine learning to the world of streaming data
Take the next step in your AI/ML journey with streaming data.
546
11.8
Vertex AI Gemini: Model selection and prompt design principles and strategies
Vertex AI offers a range of Gemini models, each with different capabilities. Learn how to pick the right Gemini model for your use case and how to get the best performance.
2 953
16.3
Non-relational databases design patterns: How Shopify leverages them to power their business
When your data outgrows the confines of traditional relational models, Google Cloud's databases offer the solution.
434
17.8