Generative AI can redefine the way people create, communicate, collaborate and get things done. When you leverage powerful AI tools right within the apps you use daily, it's like suddenly having access to a team of experts in research, writing, graphics and organization who can help you reach for goals you thought impossible. Join this session to hear from Google Workspace customers and learn how the new era of Generative AI can help you outdo yourself and thrive in a new era of work - whether you work in a small business, a startup or a major multinational corporation.

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This session explores new features of Serverless Spark and its integration with BigQuery. Discover how to harness the strengths of BigQuery with generative AI and open-source tools for flexible, powerful data processing and AI model development. With Spark in BigQuery, you'll benefit from:

Rapid Spark development in BigQuery's secure, scalable environment Flexible data processing: Choose local execution, Spark, or BigQuery *Streamlined Spark workflows with BigQuery's workflow orchestration

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In today's dynamic landscape, organizations are developing applications and running workloads in hybrid/multicloud environments while adding generative AI. With complex networks and security policies, organizations need to simplify and build modern networks that deliver the performance, security, and operational efficiency to empower developers and operations while reducing costs. Join this session where we will share key networking innovations, design guidelines, demos, and case studies from our customers.

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Join this session to learn the latest innovations for BigQuery to support all data, be it structured or unstructured, across multiple and open data formats, and cross-clouds; all workloads, be they Cloud SQL, Spark, or Python; and built-in AI, to supercharge the work of data teams and unlock generative AI across new use cases. Learn how you can take advantage of BigQuery, a single, unified data platform that combines capabilities including data processing, streaming, and governance.

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Learn what’s new with Memorystore, including a deep dive into its latest generative AI launches and integrations. Dig into the latest Google Cloud Next launch announcements and how top customers are leveraging Memorystore for Redis Cluster for its speed, reliability, and ease of use. Discover how zero-downtime scaling (both in and out) can empower developers to start small and scale out as their applications grow – always ensuring reliability and performance for their most critical workloads.

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In this mini course, you will be introduced to the Grounding in Vertex AI Search and Conversation. Grounding lets you use language models to generate content grounded in your own data corpus. This capability lets the model access information that goes beyond its training data. By linking to designated data stores within Vertex AI Search, the grounded model can produce more accurate and relevant responses.

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Build cloud solutions faster and smarter with Prompt Design in Vertex AI. Work your way towards earning a Google Cloud skill badge while being introduced to GenAI, powered by Google's advanced Gemini AI. Your session will include a presentation and hands-on practice with the learning labs included in this Skill Badge, followed by an overview of the requirements that will be evaluated to earn this credential. The challenge lab, to be completed after the session, takes the learner on a journey of crafting effective prompts, applying Gemini models to create new product descriptions in a real-world marketing scenario, and running, testing and modifying generative AI code using Jupyter Notebooks. Experience the future of cloud development today!

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Discover how Bell Canada harnessed cutting-edge AI technologies like Contact Centre AI and Infobot to revolutionize its customer service. This session delves into the tangible business outcomes achieved through these innovations, highlighting how Bell Canada enhanced its customer experience and operational efficiency. We'll explore the strategic use of AI tools that not only elevated the customer journey but also set new standards in service excellence. Learn about the practical steps and insights behind integrating advanced AI solutions to meet and surpass customer expectations, driving significant improvements in satisfaction and engagement. Join us for this Mini Talk at 'Meet the Experts, hosted by Google Cloud Consulting' at Expo. Seating is limited and on a first-come, first served basis; standing areas are available.

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In this game you will learn to build a BI dashboard with Looker Studio as the front end, powered by BigQuery on the back end, learn to use BigQuery to find data, build a time series model to forecast demand of multiple products using BigQuery ML, and create a basic report in Google Data Studio.

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Discover the cutting-edge technologies and strategic advancements with Google Distributed Cloud's (GDC) 2024 roadmap. GDC's latest innovations will empower your organization to accelerate digital transformation, optimize operations, and gain a competitive advantage. Explore new features that enhance data management, drive AI-powered insights, and strengthen security across distributed cloud environments. A valuable roadmap for business leaders, IT decision-makers, and technology professionals seeking to leverage the full potential of GDC in 2024.

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You’re the true hero of this story for building an enterprise scale application with Firebase. Every Firebase project is a Google Cloud project, so let’s learn how to make it a super AI-app this year. This superhero duo is ready to save the day, extending Firebase with Google Cloud served by Gemini as our tireless AI assistant. They have all the services in their platform tool belts to secure, scale, and advance your AI apps. So, are you ready to unleash your app’s superhero potential?

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Generative AI has the potential to transform the retail and consumer industry. In this session, we will share Google's perspective and specific use cases that can help drive value for retailers across digital commerce, marketing, store operations and supply chain. The session will also feature customer success stories and a discussion with retailers at the forefront of using generative AI.

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Join this session to explore the latest advancements in AppSheet, the no-code platform that empowers anyone to build and automate custom applications for Workspace. Discover how AI is driving innovation, enabling assisted app development, automated insights, smart workflows, and enhanced AI-powered features. Whether you're a seasoned developer or a business user, this session will equip you with the knowledge and tools to unlock the full potential of AppSheet and build powerful, intelligent apps. Don't miss out on this opportunity!

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Now with generative AI, organizations can build voice assistant experiences and deploy them in a hybrid way, both on-device and on the cloud, to support low-latency and low-connectivity scenarios. Learn how automotive customers are using this technology to power the next generation of their in-car voice assistants.

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Growth through data monetization is being driven by recent developments in two macro industry trends: data sharing and AI. Join this session to: - Explore these trends, the technology, and the business innovation behind them - Get real-world insights from leading data providers that are built with BigQuery - Leave with actionable best practices to monetize your own data

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Our research estimates that gen AI could add over $4 trillion of value annually — join McKinsey to hear the latest research on where the highest value use cases and opportunities for gen AI are across your organization. Hear how McKinsey and ING collaborated to build a GenAI-enabled customer service agent, and see examples of how industry-leading companies are productionalizing use cases to increase revenues and reduce costs today. 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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With the growth in the volume and variety of operational data, a company‘s success is contingent on how well it can leverage its databases. But with so many databases to meet the growing demands for data processing, teams can be blindsided by operational issues and inefficiencies. Explore how we harness the power of AI through large language models to provide an AI-driven database assistant. Learn how this unified, intelligent experience simplifies programming, monitoring, optimization, security, and migrations for your entire database estate.

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Join CME Group, TCS, and Google Cloud to learn how a CME Group’s Cloud first approach, coupled with AI, served as the core foundation of the digital strategy to incorporate and accelerate business transformation. This advanced approach enabled applications to be developed, deployed, consumed, and maintained more efficiently –boosting time to market, at reduced costs. 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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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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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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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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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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