Learn how platform engineering can provide multi-tenant traffic management to optimize performance, route efficiently to reduce costs, and simplify network operations. We‘ll demonstrate how multi-cluster services and multi-cluster gateways can be used to abstract the infrastructure for developers.

Learn from Shopify how they built their large-scale Kubernetes network to support 61 million shoppers and $9.3B in sales during Black Friday.

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Join us for this session where we will explore key MongoDB Atlas features including Data Federation, Atlas Triggers, and GraphQL API. We will also dive deep into MongoDB Atlas and Google Cloud integrations, such as Vertex AI and BigQuery, and how you can leverage these tools to build and scale your apps. Leave with actionable insights on how you can build with MongoDB Atlas on Google Cloud and explore what our Startup Program can do for you.

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Learn how to get the most out of your CI/CD tools through new features. Find out the latest product updates to create secure and reliable application repositories, builds, and deployments.

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AlloyDB is a fully PostgreSQL-compatible database, ready for top-tier workloads, and for modernizing legacy proprietary databases in the Cloud. Powered by Google-embedded storage for superior performance with full PostgreSQL compatibility, AlloyDB offers the best of the cloud with scale-out architecture, a 99.99% no-nonsense-availability SLA, intelligent caching, and ML-enabled adaptive systems that simplify database management. In this session, we’ll cover what’s new in AlloyDB, plus deep-dive into the technology that powers it.

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It’s more important than ever for organizations to create a culture of learning where employees are encouraged to continually learn and grow. This can lead to numerous benefits for the organization, like increased innovation, improved employee satisfaction, and reduced turnover. Erin Rifkin, Managing Director of Cloud Learning Services, will share an overview of our learning principles. She’ll also share specific examples of both formal and informal learning opportunities, and those which have leveraged generative AI.

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Tune in to learn how you can fight piracy during live events by blocking pirated streams in real time with Service Extensions and Media CDN. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Artificial intelligence (AI) is revolutionizing the way we approach security operations – allowing defenders to elevate their skills and boost productivity by accelerating threat detection, investigation, and response. AI isn’t a future concept: It’s here and available, with early user feedback showing that AI can reduce the time required for common analyst tasks such as triaging complex cases by 7x. In this session, we’ll dive into the real-world applications of AI in Security Operations with hands-on demonstrations and case studies.

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Just as food delivery has evolved and become ubiquitous, the Software Delivery Lifecycle has also made leaps and bounds. We get there by shifting left and taking a platform centric approach. In this session join us as we discuss modern software delivery, ways that Datadog has implemented SDLC internally and enable our user’s production of high-quality software with higher velocity.

By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

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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 Code Assist, Firebase, and more. Additionally, our customers will share their firsthand experiences using AI to accelerate time-to- market.

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Join us for an insightful session that explores the exciting future of Google Cloud‘s managed databases, including Cloud SQL, AlloyDB, and Spanner. Vector search capabilities deeply integrated into operational databases enable powerful enterprise generative AI apps. Additionally, learn how AI has the potential to revolutionize the way applications interact with databases. We will delve into exciting frontiers: Natural language processing in databases, and app migration with large language model-powered code migration.

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Discover the game-changing potential of Generative AI, utilizing Google's Vertex AI Model Garden and Large Language Models (LLMs) to revolutionize content search and discovery. Reports show 61% of consumers are now prioritizing TV sources based on the ease of content discovery, with preference towards a more streamlined experience. This demo will show how integration with Generative AI models can power conversational search that expedites results for viewers while also amassing information that makes it increasingly knowledgeable and accurate. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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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. This session will guide you through the key considerations for choosing TPUs and GPUs for your inference needs. Explore the strengths of each accelerator for various workloads like large language models and generative AI models. Discover how to deploy and optimize your inference pipeline on Google Cloud using TPUs or GPUs. Understand the cost implications and explore cost-optimization strategies.

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Harnessing AI's power or falling behind? Join this critical panel as industry leaders dissect generative AI, the game-changer reshaping your reality. Learn how to personalize experiences, unlock efficiencies, and unleash new revenue streams. Craft your winning AI strategy and secure your future in the age of intelligent creation.

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Join AI startup founders from around the world as they share their perspective on the startup landscape.

In this must-attend session for startup leaders, join Rodrigo Bobrow, Founder of Meistrari, Arun Subramaniyan, Founder & CEO of Articul8 AI, Anjan Umamaheswaran Bhojarajan, Chief Business Officer at HealthifyMe, and Timur Momedov, Co-Founder and CTO of VEED as they discuss macro trends and the biggest startup opportunities and challenges they see in 2024. They’ll share how AI continues to disrupt the startup landscape and how leaders should be thinking about their cloud investments over the next year.

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The excitement of generative AI has captured the imagination of developers around the world. To achieve value, customers have to confront the hard reality of what it takes to put models into production. Vertex AI provides capabilities specific to gen AI, including prompt management, tuning, evaluation, and model monitoring to help customers to put gen AI use cases into production. Learn how these capabilities can help accelerate your ability to get the most out of gen AI and how customers have used them successfully for a return on investment.

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Drowning in platform complexity and multicloud chaos? Most networking staff are overloaded and developers shouldn't have to wait days or weeks to get the network configured to start app development projects. Service-centric networking empowers developers by delivering secure, seamless connectivity between workloads and services across hybrid and multicloud. Let us show you how with demos, use cases and case studies! Join us to modernize and simplify networking processes for distributed app development and help your teams move faster.

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Introduces new GCS management features and shares best practices to solve customers' goals of cost optimization, security and governance at billions of objects scale. Demos and details of Storage Insights Datasets, generating insights with Gemini and new data movement feature. Plus, learn directly from Recursion Pharma about their real-world success managing Cloud Storage at scale.

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Python's dominance in data science streamlines workflows, but large-scale data processing challenges persist. Discover how BigQuery DataFrames, a Pandas and scikit-learn-like abstraction over the BigQuery engine, revolutionizes this process.

Join this session to learn about BigQuery DataFrames and witness how you can: - Effortlessly transform terabytes of data - Build efficient ML applications on massive datasets by leveraging large language models - Use your familiar Python environment

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Explore the transformative role of Google Cloud’s MedLM in advancing preclinical research. Learn how BenchSci develops Generative AI solutions empowering scientists to understand complex connections in biological research, saving them time and financial resources and ultimately bringing new medicine to patients faster. Discover how MedLM’s critical contribution is transforming the industry.

Please note: seating is limited and on a first-come, first served basis; standing areas are available

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As a small or midsize business, adopting generative AI may come with challenges around security, cost, and support resources. Google Cloud databases such as AlloyDB and Cloud SQL can help bridge the gap between gen AI models and the data sitting in your databases. We’ll review Google Cloud database options and learn about their reliability, scalability, and openness benefits. Then we'll dive into some gen AI application examples to see how they were built and how they use data from your database to provide accurate responses.

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Empower your organization to achieve greater efficiency and solve critical business challenges with Google AppSheet's innovative no-code platform. This exclusive panel features industry leaders who achieved remarkable results by using AppSheet to streamline workflows and empower their teams. Learn first-hand their inspiring journeys, gain practical tips, and unlock the full potential of AppSheet to drive growth and innovation within your own organization.

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This session will draw from real-world experiences and highlight the top threats that emerged in 2023 in relation to cloud security. Participants will gain valuable insights through case studies derived from Mandiant's incident response engagements in 2023, covering numerous threat actors such as Scattered Spider aka UNC3944. The session will also provide practical recommendations for cloud security, emphasizing key embedded and open-source tools and technologies that are essential for safeguarding cloud infrastructure.

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Google Workspace is the best first step to help drive operational efficiency for frontline workers. From secure data usage to digital identities to elevating the customer service experience, workplace needs are vast and the time is always short. Learn from this panel of industry leaders on how they are modernizing the frontline worker experience in the new era of work.

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Discover how the Golden State Warriors have harnessed the power of Google Cloud, with the help of SADA, to understand fan behavior and deliver captivating experiences through technology. Get a glimpse into their future plans to leverage AI to increase productivity, create personalized experiences, and grow their fan base, all while driving business outcomes. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

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In our session, learn how MSCI uses machine learning with Vertex AI, BigQuery and Cloud Run to enrich its datasets to help our clients gain insight into around 1 million asset locations to help manage climate-related risks. We’ll demonstrate how MSCI Geospatial can achieve an increase of 100 times in data processing efficiency, utilizing the scalability and cost-effectiveness of Google Cloud solutions.

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