Google Cloud Platform

Google is driving incredible transformation in the Public Sector with Assured Workloads.

Organizations need powerful security solutions to their most sensitive assets. But the familiar approach of bolting on more security products is unsustainable.

"Artificial intelligence (AI) is revolutionizing the way we approach security operations – allowing defenders to elevate their skills and boost productivity by accelerating threat detection

Firewalls are essential for any network security architecture.

Customers increasingly want to run multiple analytics and artificial intelligence (AI) use cases on a single copy of their data spanning lakes and warehouses.

Attend this session for an overview of our storage solutions and how they are optimized for a variety of workloads.

Uncover how Accenture leads the charge in harnessing Google's cutting-edge Generative AI technologies to develop innovative client solutions.

Join this session to learn how Gemini in BigQuery can help you accelerate time to insights by enhancing productivity, and optimizing the cost and performance of data workloads.

Harness the power of generative AI agents for process automation and rich conversational experiences.

This session will draw from real-world experiences and highlight the top threats that emerged in 2023 in relation to cloud security.

With built-in multi-modal capabilities, Gemini enables powerful solutions spanning across text, images, and videos.

Learn how platform engineering can provide multi-tenant traffic management to optimize performance, route efficiently to reduce costs, and simplify network operations.

Generative AI is only as good as its data.

Introduces new GCS management features and shares best practices to solve customers' goals of cost optimization, security and governance at billions of objects scale.

In today's dynamic landscape, organizations are developing applications and running workloads in hybrid/multicloud environments while adding generative AI.

Kubernetes is the de facto standard for running modern, containerized workloads in cloud.

Discover the cutting-edge technologies and strategic advancements with Google Distributed Cloud's (GDC) 2024 roadmap.

Drowning in platform complexity and multicloud chaos?

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.

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.

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.

Explore how Geotab harnesses BigQuery to fuel a robust data-driven culture.

Gemini in Looker has made the most complex data actions simple, letting you chat with your business data.

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.

This session demonstrates how to use large language models (LLMs) to translate ideas directly into cloud architecture blueprints.

David Austin is a data scientist and a member of one of the top teams in Kaggle’s competition to detect AI-generated text.

Plan, migrate, and deploy your mission-critical SAP workloads on Google Cloud’s highly available, secure, and scalable certified infrastructure.

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.

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

Unleash the power of artificial intelligence (AI) to maximize embeddings to solve your unique business challenges.