Google Cloud Platform

Try Duet AI → goo.gle/48rpVY5 Create and modify a VPC network with Duet AI assistance → goo.gle/3voWebG Duet AI for Network Engineers → goo.gle/489BLpW With AI assistance

Learn more about Contact Center AI (CCAI) Platform → goo.gle/3GQz6Wj With the power of Contact Center AI (CCAI), Telus Corp., a global leader in telecommunications, transforms raw data into

Try Duet AI → goo.gle/3GOZrEf Develop a Python app with Duet AI assistance → goo.gle/3tGu4IO Duet AI for Application Developers → goo.gle/48p2z5U With AI assistance

Boost productivity today with Duet AI's conversational code assistance.

Welcome to ABC’s of AI, where we’ll cover the fundamentals of Artificial Intelligence using the Alphabet. Today, Y is for “Why" choose AI?

Try Duet AI → goo.gle/3v7w6SI Duet AI for navigating security decisions → goo.gle/3TzAwfg Duet AI for Security Engineers → goo.gle/47VxGpj With AI assistance, finding and

Welcome to ABC’s of AI, where we’ll cover the fundamentals of artificial intelligence using the alphabet. Today we’re covering X for XGBoost!

Generative AI is transforming enterprise search experiences.

Google Maps Platform announces the addition of environment APIs.

Join this session to discover how Duet AI in Google Cloud, an AI-powered collaborator, can boost your team’s productivity and expertise in the cloud domain.

Firebase and Cloud Run are a powerful combination for delivering fast, scalable, and reliable full-stack web or mobile apps.

Check out the latest innovations and additions to Google’s compute families.

Applications aren’t always as performant as we’d like, especially as usage and business grows. There are several well-known optimizations used to address performance issues.

Data lakes are a powerful way to bring together diverse data sources and enable data-driven insights. Google’s Cloud Storage helps you build a data lake that is scalable, secure, and cost-effective.

Building and training machine learning models is a complex and challenging process.

Data and AI Cloud for Marketing: Your marketing, multiplied by Google Cloud Speakers: Jiby Varghese Watch more: All sessions from Google Cloud Next → goo.gle/next23 #GoogleCloudNext

Learn how Google Cloud enables identity-first, AI/ML-powered, policy-based security to help protect your users, infrastructure, data, and applications.

Active Assist uses AI and advanced analytics to make recommendations that help developers optimize their applications for cost, security, sustainability, and more.

Organizations must modernize their software delivery to stay competitive.

Machine learning (ML) is becoming a core part of every modern application. In this session, learn how Cloud Bigtable supports ML stacks for large-scale services, both inside and outside of Google.

Generative AI is empowering developers to build new user experiences directly into their existing applications by leveraging pretrained models and without requiring machine learning expertise.

Many enterprise IT organizations have infrastructure efficiency initiatives aimed at cutting costs and reducing environmental impact. Savvy customers use AI to drive these efforts.

Organizations have been searching for optimal ways to store and analyze vast amounts of structured, unstructured, and semistructured data to handle the increasing volume, latency, resilience, and

You can customize models for your use case by using your own data to tune models.

Terraform is an integral component of many teams’ infrastructure and applications. It’s also core to Google Cloud, as we use it to build and operate our resources as infrastructure as code.

Currently running Kubernetes in public clouds or thinking of moving workloads to Kubernetes in clouds?

Join this session to learn how Cloud Workstations enables cloud-based development in a secure manner, expediting developer onboarding and improving developer productivity while strengthening the

Learn how you can quickly and easily build applications in environments with predefined controls and guardrails to meet global regulatory compliance requirements.

Finding the right foundation model for your use case can be a daunting task, and the difficulty of managing large models prevents most organizations from using these models effectively, if at all.

Applying the principles of circular economy to software development lays foundations for sustainable behavior for product-focused organizations.