The GenAI landscape is evolving fast. But as it matures, we're seeing more obstacles. The scaling challenges with web apps are soon to be felt by the new wave of GenAI apps. Learn how you can go beyond vector search with trusted Redis use cases like caching and session management to avoid these challenges with your GenAI apps. 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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Join us to learn how Generative AI is revolutionizing financial services. Hear how Flybits has found success developing unique AI use cases for financial organizations, how V7 Labs has integrated Gemini Pro into their LLM product and how Bud is using LLMs to drive hyper-personalization in banking.

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Traditional enterprises can unlock their full potential and achieve transformative results by adopting a Cloud-first, AI-first approach. In this session, Infosys experts share a comprehensive blueprint powered by Infosys Topaz and Infosys Cobalt offerings on Google Cloud. Gain insights into the power of this dynamic duo and learn how Infosys is uniquely positioned to navigate enterprises through this transformative journey. 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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Stuck staring at spreadsheets? Yearning for insights? Duet AI & Apps Script are your data dream team! ‍ In this lightning-fast session, we'll blitz through: Magic Data Extraction: Ditch copy-paste! Duet AI pulls data from emails & docs like magic.

Instant Insights: Stop sifting, Duet AI finds trends & generates summaries in seconds.

Dynamic Dashboards: Build interactive dashboards that respond to your clicks! Apps Script adds the customization magic.

Find the tools and inspiration to transform data drudgery into discovery.

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Learn how the patent search engine company IPRally created a custom compute platform to enable higher scale data processing and deep learning. The solution relies on Ray Core and Google Kubernetes Engine, and harvests the cheapest resources from all around the world. In addition to the efficiency, the goal was to build the best environment for machine learning R&D. This has been achieved with integration to Weights&Biases as the experiment tracking system. In this session, we’ll go through on a high level the solution. 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 poised to revolutionize the way we conduct research, leading to groundbreaking discoveries and transformative advancements in various fields. This panel discussion will explore the transformative power of AI in accelerating research breakthroughs, offering insights from leading public sector experts and practitioners.

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As generative AI rapidly evolves, companies are increasingly focused on realizing its value in their work and operations. In this session, we’ll showcase three secret ingredients to help accelerate value creation: Personas, Patterns and Controls. Using our gen AI solution enabled by Vertex AI, we’ll show how developing user personas is the first step to success. Secondly, we’ll highlight examples of patterns that drive rapid reusability, consistency and reduced costs. Finally, we’ll demonstrate important governance controls that organizations need.

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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Join Dylan Fox (Founder and CEO of AssemblyAI), Pankaj Dugar (Senior Vice President and General Manager of NA of AI21 Labs) and David Ferrucci (Founder and CEO of Elemental Cognition), as they discuss their approach using cloud technology as they build and scale their startups.

They’ll give their perspective on critical cloud decisions that can impact growth, including a single cloud vs multicloud approach, specialty cloud services like AI, data and tensor processing units, and migration.

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Generative AI is a fundamental shift in how business operate, and analytics ISVs (independent software vendors) are at the forefront of that shift. Join this session to: - Learn how ISVs that are built with BigQuery are using gen AI to solve complex business problems and create new opportunities. - Explore real-world success stories where businesses are achieving significant results - Gain insights into emerging trends and challenges, and potential for your business

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Evaluating the quality of a model’s responses relative to other models is a top challenge in deployment. Vertex AI makes this easier with new evaluation capabilities that help you assign a score to the quality of a model response. In this session, you will learn how to use evaluation tooling, best practices to set up your task-based evaluation framework, and how to use explanations to build trust in your evaluation.

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Join our technical session delving into the innovative world of vector search and its pivotal role in generative AI app development. We’ll showcase the latest breakthroughs in query algorithms that leverage research insights from a decade of building vector search at Google scale. We’ll provide an in-depth exploration of the latest algorithms for vector search on AlloyDB and offer a glimpse into the future. Enterprise data is the key to gen AI and in this session we'll help you understand how to achieve the scale needed for critical workloads.

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Explore the transformative power of Generative AI with Databricks on Google Cloud. Learn to integrate and leverage governed, sensitive data for real-world problem-solving, from advanced RAG applications to traditional challenges. With 88% of enterprises investing in Generative AI, discover how to swiftly develop and deploy tailored solutions, which could include Q&A bots and custom models. Gain insights from a customer’s experience and propel your organization into the forefront of AI innovation. 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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Good intelligence goes further than data analysis, it’s actionable. With a strong intelligence-led security strategy you may be able to limit the impact of incidents and respond quickly. Without a strategy you may just have to pick up the pieces and start from scratch. Join Holly as she shares trade-craft and “learning moments” as a cyber threat intelligence professional. She will share how she and her team use threat intelligence to convey issues to stakeholders effectively, how it has guided successful actions with a few near misses, and key learnings she has experienced along the way. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Getting started with Vector Embeddings with AlloyDB AI. In this codelab you will learn how to use AlloyDB AI by combining vector search with Vertex AI embeddings. We will go step by step loading data to the new created AlloyDB database, enable necesary extensions and testing vector search in combination with other data passing results to the Gen AI text model to make the answer relevat and combined with real data from the database.

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We'll explore how integrating AI, serverless computing, data analytics, and APIs can revolutionize the retail landscape. Learn how Google Cloud Run, Apigee, BigQuery, and Vertex AI collaborate to create personalized shopping experiences, streamline operations, and drive sustainability. Key takeaways include implementing conversational AI for enhanced customer interaction, leveraging BigQuery for data-driven insights, and using Cloud Run for efficient, scalable retail solutions.

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On any given day, millions of small businesses rely on Google Workspace to connect, create, and collaborate. Join our panel of SMB leaders as they share how their teams use Workspace to punch above their weight – from iterating faster with real-time collaboration in Docs, Sheets, and Slides to expanding their capabilities with Gemini.

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TwoSigma will provide an overview of its research and AI/ML Platform. The Google Kubernetes Engine-based platform seamlessly integrates with popular frameworks like Ray, Spark, and Dask allowing researchers to test investment strategies. This session will focus on the platform's architecture and capabilities and highlight a recent integration with Google Cloud's Dynamic workload Scheduler and Kueue providing researchers on-demand access to A100 and H100 graphics processing units.

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Discover the art of minimizing AI infrastructure costs without compromising your product's quality. Learn from the Product Science founding team, experts who have helped top tech companies save millions of dollars on their infrastructure costs. This talk will delve into strategies for efficient resource scaling, cost-effective data management, and leveraging monitoring tools to identify savings opportunities. Whether you're overseeing large-scale AI operations or are in the early stages of development, gain valuable insights into balancing the latest AI advancements with economic efficiency.

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TCS will share our perspective on the role of responsible AI. We will provide an overview of how to infuse Responsible AI principles into the AI lifecycle to design, build and deploy responsible, ethical, and trustworthy AI. We will explore our offerings, combined with the power of Google Cloud’s tools. 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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Artificial Intelligence is becoming a critical part of your organization's strategy. Businesses are waking up to the opportunities that AI can bring, as well as the massive task of taking advantage of them. Learn how AI and ML could become a part of your business and how Publicis Sapient and Google Cloud can help you harness the power 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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Generative AI is transforming the way organizations work, but successful deployment requires thoughtful architecture and design. Come and learn how Onix has helped several customers across different industries seamlessly integrate Gen AI solutions across Google Workspace and Google Cloud, achieving significant business and technical value for those organizations.

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Learn to build inclusive AI products that are accessible to people with a variety of neurocognitive needs, such as ADHD, autism, and dyslexia, and disabilities involving speech, sight, and hearing. While representation is critical, creating truly inclusive AI products requires a more comprehensive approach that addresses systemic barriers and fosters a culture of belonging, in order to make products more accessible. We’ll explore the challenges of and opportunities for creating AI products for everyone.

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Join us in this fireside chat with Phillipp Schmid, Technical Lead of Hugging Face, a collaboration platform for the machine learning community where anyone can share, explore, discover, and experiment with open-source ML. Phillipp will talk about the benefits of open source going into production with generative AI applications – everything from versioning, evaluating, monitoring, and data drift. He will highlight the challenges of evaluating large language models (LLMs), including what works today and where we need to improve. Join us for his thoughts on the role of cloud computing in accelerating AI and how Hugging Face is leveraging it to build an open, ethical, and collaborative AI future.

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Developers choose PostgreSQL for its power, ecosystem, and enterprise-grade features. In this session, unlock best practices for building apps of all kinds with PostgreSQL. We'll cover Google Kubernetes Engine deployments, pgvector for generative AI development, performance optimization with caching, essential observability strategies, and more.

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Gemini in Looker has made the most complex data actions simple, letting you chat with your business data. The latest advancements in Google's business intelligence (BI) suite bring insights to your users and customers, and form the basis of your own data-driven applications. This session will show you how we are building the future of BI with AI at the center, and keeping our focus on an open ecosystem that enables you to bring all your important data and share it with your teams – all driven by generative AI.

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