Name: Cracking the Generative code
Start: 2024-09-05T20:03:00Z
End: 2024-09-05T20:03:50.000Z
Location: BrightTALK
Rating: 0

Watch the latest App Modernization news and innovations as we help customers 
innovate faster with the most productive and open cloud platform.


Join NVIDIA and Google Cloud for an exclusive webinar showcasing our joint AI infrastructure solutions. Discover how to leverage the latest in accelerated computing, AI software, and cloud infrastructure to build, deploy, and scale your most ambitious AI projects.

Unlock Your AI Potential with NVIDIA and Google Cloud

Protecting sensitive data in the public cloud is a paramount concern for organizations today. This talk explores how confidential computing with Intel Trusted Domain Extensions (Intel TDX) on Google Cloud offers a robust defense-in-depth solution. We delve into the mechanics of Intel TDX, showcasing how it establishes a trusted execution environment within the public cloud environment, safeguarding data even during processing. Real-world use cases will highlight the potential of confidential computing to enable privacy-preserving analytics, secure multi-party collaborations, and sensitive AI/ML workloads in the public cloud. 

We will also share performance insights of confidential computing with Intel TDX on Google Cloud. This talk provides a comprehensive overview of how confidential computing can empower organizations to protect their most valuable data assets.

Strengthen Security and Compliance with Confidential Computing

Are you ready to revolutionize your software development lifecycle (SDLC)? Watch this session and discover how Gemini Code Assist, your next-generation AI-powered collaborator, can revolutionize your development process.

You'll learn:
- How Gemini's AI capabilities accelerate development workflows.
- Real-world examples of how development teams are leveraging Gemini for success.
- How to get started with your own free trial of Gemini Code Assist.

Accelerating Software Development with Gen AI: Gemini Code Assist

Cloud infrastructure security is evolving rapidly, with confidential computing emerging as a powerful tool to protect sensitive data in use. This presentation, "Securing Cloud Infrastructure with Confidential Computing", will explore the problem space of current cloud security challenges, highlighting the growing need for data protection even while in use. We'll delve into compelling security use cases enabled by confidential computing, demonstrating how it can revolutionize industries such as healthcare, finance, and government. Then we'll examine AMD Infinity Guard, a key technology underpinning confidential computing, understanding its role in enabling secure enclaves. Finally, we'll share customer success stories to illustrate real-world implementations of confidential computing, demonstrating its tangible benefits in enhancing cloud security.

Securing Cloud Infrastructure with Confidential Computing

Internal Developer Platforms (IDPs) are revolutionizing how engineering teams work by streamlining workflows and boosting developer productivity. But building an IDP requires a robust, scalable foundation. In this talk, we'll show you how Google Kubernetes Engine (GKE) Enterprise serves as the perfect launchpad for your IDP journey. Get ready for a hands-on demo and deep dive that will show you how GKE Enterprise simplifies IDP development with built-in security, compliance controls, and multi-cluster management.

Build an internal developer platform on Google Kubernetes Engine Enterprise

Discover the power of gen AI in boosting developer productivity and innovation. Through in-depth demos, we'll showcase how to use gen AI to enhance developer productivity across the software development lifecycle. You’ll also learn how to easily build production-grade gen AI applications using Google Cloud technologies and your favorite ecosystem tooling. We’ll share the latest releases and features across many of your familiar developer products such as Gemini, Firebase, and more. Additionally, our customers will share their firsthand experiences using AI to accelerate time-to- market.

Supercharge app development and developer productivity with generative AI

Join us for an unscripted, no-holds-barred conversation with experts that have decades of collective experience helping large organizations build successful platform engineering practices. Our conversation about the top 5 myths of platform engineering will include: 

1) One platform to rule them all (A portal and platform are the same)
2) Introducing platform engineering will dramatically impact cost
3) Platform engineering is “just DevOps"
4) You should apply platform engineering everywhere
5) Platform engineering is just the latest fad

Get ready for honest insights, practical advice, and a candid discussion about the path to successful platform engineering.

Speakers:
• James Brookbank, Cloud Solutions Architect Manager, Google Cloud
• Ajay Chankramath, Chief Technology Officer & Global Managing Director, Product & Platform Engineering, Brillio
• Kaspar von Grünberg, CEO, Humanitec

Platform Engineering: 5 Implementation Myths

Discover how Sabre’s platform engineering team leveraged DORA metrics to guide their evolution from traditional infrastructure practices to a cutting-edge, cloud-native platform. This talk will explore their transformation from on-premises infrastructure to Google Cloud, highlighting the role of platform engineering in:

• Accelerating Cloud Migration: Learn how Sabre streamlined their transition to GKE.
• Optimizing CI/CD Pipelines: Explore the challenges and successes of extending CI/CD beyond Kubernetes, and their ongoing efforts to modernize with cloud.
• Building a Platform Team: Gain insights into Sabre's "platform as a product" approach, and how DORA metrics informed leadership decisions and empowered development teams.
• Measuring Progress and Impact: Understand how DORA metrics helped Sabre track improvements, identify bottlenecks, and demonstrate cost savings to leadership.

DORA in the real world: Sabre's platform engineering journey with Google Cloud

AI is rapidly changing the way we work and security professionals are not only thinking about how to apply generative AI to help them in their jobs, but also how to safeguard AI systems in their organizations as these tools become more prevalent. This session will outline how Google Cloud can support both of these efforts. Join us as we unpack our Product Vision for AI-Powered Security, as well as share how we are equipping defenders with strategies  and services to secure your AI data, models, applications, and infrastructure.

Securing the Future: The intersection of AI and cybersecurity

Join us for an exclusive fireside chat with tech-leaders from Wayfair and Google Cloud as they share their strategies and key considerations for adopting gen AI assistance in software development.

Learn about Wayfair’s journey and how it has boosted the productivity and satisfaction of their developers using Gemini Code Assist - gen AI assistant from Google Cloud. We’ll cover:

• Strategies for adopting AI assistance tools in enterprise software teams
• Insights from Wayfair’s real-world implementation
• Advice for navigating the challenges of adoption
• Expert perspectives on the evolving role of AI tools in software development

This session is ideal for IT decision-makers, CTOs, CIOs, and anyone seeking to enhance their software development with AI.

How Wayfair uses Duet AI to increase developer productive and well-being

The future of app development is here, and it's powered by AI. Watch this webinar and learn how to innovate faster, deliver unparalleled customer experiences, and secure a lasting competitive advantage. Experts will also discuss how generative AI can revolutionize your app development, how to integrate AI seamlessly with your unique business data, and the tools and expertise Google Cloud offers to empower your AI journey.

Building Applications in the Gen AI Era

Recent Enterprise Strategy Group (ESG) research shows 48% of tech buyers are increasing spend in application and software development, yet time-consuming tasks—like testing, QA, integration, and security—continue to dominate the development lifecycle. 

Buyers are investing in generative AI (GenAI) to reduce these tasks and lifecycle challenges, but not without caution: ensuring data quality and reliability for training LLMs remains top-of-mind.

Discover how to successfully harness GenAI to improve developer productivity and software lifecycle efficiency in this custom webinar, featuring ESG Principal Analyst of Analytics & AI Mike Leone and Richard Seroter, Chief Evangelist at Google Cloud. 

Tune into the on-demand session as Seroter and Leone explain in-depth:
• Top GenAI use cases in app & software development 
• How Google helps organizations ramp up their GenAI initiatives 
• Vertex’s bevy of GenAI capabilities, including no-code and low-code development 
• How to get started with GenAI for developers: Key recommendations

Analyst insights: How to unlock developer productivity with generative AI

Google empowers developers to build GenAI apps in minutes! Join this webinar & learn how Vertex AI Search & Conversation simplifies building search & chatbot apps, boosting efficiency & reducing hallucinations. No more data prep, chunking, or complex ML tasks - build & automate with ease!

Accelerate Your GenAI Journey: Build GenAI applications in minutes

Join Google Cloud AI experts for an engaging session filled with insights and actionable strategies on the use of gen AI assistance in software development. This webinar is a must-attend for IT leaders seeking to leverage gen AI assistance for improved team performance and innovation.  Our panelists will discuss topics such as the role of gen AI assistance in software development and delivery, strategy and practical tips on how to integrate gen AI assistance into your development workflow, and how to better prepare your development teams in this AI era. 

Speakers:

Stephanie Wong, Lead Product Manager, Gemini for Google Cloud
Paige Bailey, Lead Product Manager (Generative Models), Google DeepMind 
Ravi Rajamani, Managing Director, Global Head of Gen AI Customer Engineering/Blackbelts, Google Cloud
Balaji Rajam, Global Sales and Solutions Engineering Lead, Google Cloud

A Guide for IT Leaders on Adopting Gen AI Assistance in Software Development

In today's rapidly evolving landscape, harnessing the potential of AI has become crucial for businesses to deliver competitive products and services. Delivering AI models that are flexible, efficient and price performant is becoming table stakes for AI Engineering teams yet many teams still grapple with framework and infrastructure decisions to architect an AI Platform that meets their long term needs.  

In this session, we’ll explore how Kuberernetes is becoming an infrastructure framework of choice for AI Platforms and how Google Kubernetes Engine using Google Cloud’s leading AI Infrastructure can deliver the scalability, performance and efficiency required to successfully deliver AI innovation to your customers.

Unlocking AI Innovation: Deploying GenAI models on GKE

Many organizations are eager to take advantage of generative AI, but don’t have the resources to build, train, and maintain costly LLM models of their own. This session will provide an overview of the work Google Cloud is doing to allow customers and partners to call upon pre-trained security models and bring critical security intelligence to power their workflows.

Generative AI for your security use cases

The generative AI revolution is here.. As a result, traditional computing infrastructure is inadequate for the growing demands of generative AI. Join Google and a special guest speaker from Forrester for expert insights on building an infrastructure optimized for AI.

Cracking the Generative code

Testing

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Cracking the Generative code

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