Today's customers expect more from digital experiences. Learn how to transform your current website into a hub for customer engagement and AI-powered experiences. With generative AI, there are significant opportunities for enhancing the discoverability of pages and content with website search or conversations, translation and localization of text or images, and incorporating dynamic recommendations tailored to user experiences. Discover how to unlock AI's potential for your website, elevating customer experiences and driving business success.

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Concerned about over-privileged identities with expansive access within your systems? Join us to learn how to enforce the principle of least privilege on your identities. We'll guide you on how to understand identity entitlements and leverage machine learning to fine-tune access. You’ll learn about proactive access management techniques with just-in-time access workflows. As a bonus, you will also learn firsthand insights from Commerzbank regarding their practical application of these strategies to improve their security posture.

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This session will explore HAVI’s transformative shift from a traditional security information and event management (SIEM) solution to a platform that provides threat detection at petabyte scale and millisecond search performance using the Chronicle SecOps Suite. We’ll see how HAVI navigated the complex regulatory environment to set up a system that allowed them to benefit from a fully managed service, and independently addressed scalability and platform flexibility challenges to create a more cost-effective and high-performing solution.

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Imagine running your non-relational workloads at relational consistency and unlimited scale. Yahoo! dared to dream it, and with Google Spanner, it plans to make it a reality. Dive into its modernization plans for the Mail platform, consolidating diverse databases, and unlocking innovation with unprecedented scale. Be part of the conversation and see how Spanner can transform your database landscape.

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We cover the they key principles of building a modern, cloud-first data platform: - A reference architecture for a simple, flexible, modular lake house - A process to select the right point of contact for the job - How to build and organize your team to continue to grow the platform In this session, we discuss not just what to build, but how to build it, and why the topics we cover are important for success.

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Generative AI is driving the next industrial revolution and businesses are racing to use it to improve customer experiences, healthcare, and operations. But to succeed, they need a plan. In this session, we'll highlight practical use cases and challenges of scaling AI in 2024. We'll also show you how NVIDIA DGX Cloud on Google Cloud supports the entire AI app lifecycle, from development to deployment. You'll learn how to speed up the return on investment of AI.

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 this fireside chat, Mike Ferguson—Europe’s leading industry analyst in data management and analytics—talks to Rob Thomas, Senior Vice President and Chief Commercial Officer at IBM on what IBM is doing to help companies get maximum business value from data and AI.

The discussion will explore what IBM sees as the key things needed to become successful with AI. This includes talking about embracing hybrid cloud computing to support data and deploy AI anywhere; dealing with the challenge of distributed data estate; and exploring integrated data and AI technology stacks and AI assistants that help companies tear down data silos, share data, and quickly build and integrate AI, augmentation, and automation into every part of their business. Finally, it will also explore how IBM is helping accomplish this while maintaining end-to-end data and AI governance.

The Data Engineer's role amidst the rise of big data, cloud computing, and AI-driven analytics has shifted. This panel chat explores the ever-changing landscape of essential skills and the automation of outdated ones. With a myriad of architectural options available, we'll dissect how organizations navigate the complexities to tailor solutions to their specific needs. Let's unravel the intricacies of building scalable data systems, pinpointing common breakpoints and strategies for efficient scaling. Come along as we delve into in constructing the foundation of the data-driven future.

In this session, Chad Sanderson, CEO of Gable.ai and author of the upcoming O’Reilly book: "Data Contracts," tackles the necessity of modern data management in an age of hyper iteration, experimentation, and AI. He will explore why traditional data management practices fail and how the cloud has fundamentally changed data development. The talk will cover a modern application of data management best practices, including data change detection, data contracts, observability, and CI/CD tests, and outline the roles of data producers and consumers. Attendees will leave with a clear understanding of modern data management's components and how to leverage them for better data handling and decision-making.

Big Data Europe Onsite and online on 22-25 November in 2022 Learn more about the conference: https://bit.ly/3BlUk9q

Join our next Big Data Europe conference on 22-25 November in 2022 where you will be able to learn from global experts giving technical talks and hand-on workshops in the fields of Big Data, High Load, Data Science, Machine Learning and AI. This time, the conference will be held in a hybrid setting allowing you to attend workshops and listen to expert talks on-site or online. By Josef Habdank

Big Data Europe Onsite and online on 22-25 November in 2022 Learn more about the conference: https://bit.ly/3BlUk9q

Join our next Big Data Europe conference on 22-25 November in 2022 where you will be able to learn from global experts giving technical talks and hand-on workshops in the fields of Big Data, High Load, Data Science, Machine Learning and AI. This time, the conference will be held in a hybrid setting allowing you to attend workshops and listen to expert talks on-site or online. Ibrahim Muzaferija

Implementing generative AI applications requires large amounts of computation that can seamlessly scale to train, fine-tune, and serve the models. NVIDIA and Google Cloud have partnered to offer a range of GPU options to address this challenge. Using NVIDIA GPUs with Google Kubernetes Engine removes the heavy lifting needed to set up AI deployments, automate orchestration, manage large training clusters, and serve low-latency inference. Join us to see what ElevenLabs has built using NVIDIA GPUs with GKE. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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We all have a role to play in fighting against global warming. You’ll discover the fundamental concepts of different infrastructure design, from legacy to modern serverless hosting. We’ll cover different ways to deploy the same application on these different infrastructures and the key impacts they have on different metrics: duration, cost and CO2. You’ll learn the core concept of serverless services and their advantages. But also how to know the carbon footprint impact of your projects thanks to the carbon footprint dashboard.

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Learn about how to publish your Google Workspace apps and Add-ons in the Google Workspace Marketplace. We’ll share with you details on how to create a marketplace listing, how to configure your app using the Marketplace SDK, and discuss our app review process. We’ll also share some tips and tricks on how to best manage your app listing.

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Implementing generative AI applications with large language models (LLMs), and diffusion models requires large amounts of computation that can seamlessly scale to train, fine-tune, and serve the models. Google Cloud TPUs. Cohere is leveraging the compute-heavy Cloud TPU v4 and v5e to train sophisticated gen AI models that meet the heightened needs of their enterprise users. Check out how Cohere and Cloud TPUs are delivering enterprise-tailored large language models (LLMs) that can help increase business productivity by automating time-consuming and monotonous workflows. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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It is complex and costly to change your selected regions after you set up your production AI workloads. I like to share 7 tips and GCP tools to help you SELECT the RIGHT Region. They include Network Intelligence Center, Cost Estimator, Assured Workload, Simple GCP Region Picker and so on. It will help save cost, reduce latency, be green and ready for growth.

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This session features a new low/no-code editor to go from an idea that could leverage AI into production, faster than ever before. Learn about Visual Blocks, how Google has already used it to successfully speed up production times, and how to make your very own custom nodes to integrate with anything. Learn how to get started productively with Visual Blocks ML. Enable anyone at your company to create or test working AI prototypes fast with an easy web interface by reusing the building blocks defined by Google and your engineering team.

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GitLab and Google Cloud are partnering to deliver a comprehensive, integrated DevSecOps solution that provides best-in-class reliability, efficiency and end-to-end security. In this session you'll learn how you can quickly and securely deploy workloads to Google Cloud using GitLab’s new integrations, which include streamlined IAM configuration, Artifact Registry integration, and optimized GitLab templates and workflows for Google Cloud.

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Unlock the power of retrieval-augmented-generation (RAG) for generative AI apps with Vertex AI app builder platform. Vertex AI Vector Search powers blazingly fast embeddings retrieval for your search, recommendations, ad serving, and other gen AI applications. Multimodal embeddings scale your search across text, images, and other modalities. Customize your RAG pipeline with document understanding capabilities. With comprehensive offerings, Vertex AI makes building robust RAG systems easy.

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To extract the maximum performance, reliability and security out of every instance from enterprise applications to AI/ML, we built a cutting-edge system of custom silicon, security microcontrollers, and tiered scale-out offloads: Titanium. Titanium already underpins all of our latest compute instances. Join this session to see why Titanium matters, how it works, and how to maximize the benefit in your workloads.

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