Unlock new levels of productivity, enable rapid experimentation, and capture new market opportunities with AI-powered apps and platforms.

Artificial Intelligence is ushering in the next revolution in applications, and virtually every aspect of software development as we know it is poised for disruption. Google Cloud remains committed to innovating in the open and bringing together cloud native technologies and state-of-the-art AI to help our customers tackle their biggest challenges.

Agenda

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Keynote: 10 Predictions for the Future of Cloud Including AI

Bobby Allen

The future of cloud is being shaped by data-driven systems that are easy to use—whether you want to optimize technology to do more with less, accelerate software development to drive revenue, or protect your business from security threat vectors. In this session, we explore 10 predictions for the future of cloud and how some organizations are already turning those predictions into reality, in the form of minimizing costs, reducing onboarding time, and eliminating complexity. You’ll also hear why Google Cloud is the best platform to innovate, build, and operate the apps and data that power your business.

15 Minutes

Bobby Allen

Group Product Manager

Google Cloud

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Modern Software Development Accelerated by AI

Cedric Yao

AI has ushered in the fourth Industrial Revolution, and we will soon see a massive impact across all industries. Specifically, we’re poised to significantly change the way the world builds software with the release of tools like Duet AI. In this session, we’ll explore how AI can accelerate all aspects of the software delivery life cycle, ultimately helping teams to be more productive and getting products to market faster.

15 Minutes

Cedric Yao

Head of Application Innovation Programs

Google Cloud

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The Future of AI-Infused Apps

Rohit Kelapure

Contextual, efficient, and hyper-personalized experiences unleashed by generative AI have forever shifted user expectations. AI-infused applications might be in your future, but the path to getting there isn’t always clear—particularly at the level of scale, flexibility, and security that users now demand. What are the principles and technologies we can bring together to serve both apps and AI models? This session will explore the evolving use cases for AI-powered applications, what to consider when infusing AI, and how application and model life cycles are converging to deliver app innovations.

15 Minutes

Rohit Kelapure

Solutions Director, Application Modernization

Google Cloud

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Platforms for Apps and AI

Brandon Royal

There’s never been a higher demand for platforms that deliver on rapid experimentation, scale, and flexibility in the era of AI-infused applications. Today’s pace of innovation and these demands are creating an immense cognitive load for both development and data science teams. This session will explore how the latest Platform Engineering and AI Ops practices, combined with Google Cloud Open Infrastructure, can improve engineering productivity while enabling innovation.

15 Minutes

Brandon Royal

Application Modernization Solutions Specialist

Google Cloud

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Making AI/ML Simple, Scalable, and Cost-Effective with Google Kubernetes Engine

Gari Singh

In today's rapidly evolving landscape, harnessing the potential of AI and ML has become crucial for businesses to gain a competitive edge. However, implementing AI/ML solutions often comes with challenges like complexity, scalability, and cost considerations. This session will provide you with knowledge and tools to make AI/ML simple, scalable, and cost-effective.

15 Minutes

Gari Singh

Product Manager

Google Cloud

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Unlock new levels of productivity, enable rapid experimentation, and capture new market opportunities with AI-powered apps and platforms.

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Unlock new levels of productivity, enable rapid experimentation, and capture new market opportunities with AI-powered apps and platforms.

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