Ashish Vaswani is the CEO and Co-founder of Essential AI and Niki Parmar is the CTO and Co-founder of Essential AI. They are Google Brain Xooglers and the authors of the groundbreaking paper “Attention Is All You Need.”

Join us to learn from Ashish and Niki on their transformative journey from Google Brain to Essential AI.

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Do you have many more requests to fund Generative AI investments than available funds, and struggle to assess the business impact? Learn how one of the world's largest cyber security firms took on this challenge to accelerate business value realization with this transformative technology. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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There is tremendous excitement around the potential of generative AI in the practice of medicine. But just as important to the technology is the manner in which it leverages trusted and authoritative content. Come learn how industry leaders such as Mayo Clinic and HCA are leveraging Vertex AI Search and Cloud Healthcare infrastructure to improve access to medical information and to build solutions that benefit patients, physicians, and medical researchers.

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Discover how government agencies are leveraging AI to break down communication barriers, enhance accessibility, and deliver highly personalized services to their communities in real time. Explore how Document AI, Translation AI, and Google Workspace are ensuring equitable access to critical information and services, regardless of language proficiency. Learn best practices for building trust and fostering closer citizen-government relationships through AI-driven tools and technologies.

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Join us to learn how apree health successfully navigated a zero-downtime migration of a complex healthcare tech platform to Google Cloud from private data centers. The decision to go all-in on Google Cloud and Google Workspace simplified the implementation, increased efficiency, and enhanced security. We'll share the challenges we encountered, the many lessons learned, and the positive outcomes we've achieved.

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H-E-B, like many enterprises, is moving away from legacy mainframes in favor of microservices & public cloud infrastructure. With hundreds of applications powering our 100+ year-old business, we need to be confident that the platform we are building will provide the agility & security to continue to innovate for our customers. Join our insightful panel discussion on leveraging your cloud platform and infrastructure for app modernization and as the foundation for your Gen AI journey. Our panelists will explore the new opportunities AI opens to engage customers, create new revenue streams, & lower cost to serve, in the retail sector. Additionally, we'll discuss how AI is improving application engineering productivity for digital teams. This session promises to offer valuable insights into the intersection of cloud, AI, & retail and how businesses can harness these technologies for success.

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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The best way to fix security issues is to prevent them in the first place. Join this technical session and learn how to protect cloud workloads with new security posture controls that define and monitor operating guardrails, and new infrastructure as code (IaC) scanning that can identify security gaps before cloud environments go live. Learn how Lloyds Banking Group meets stringent governance and compliance requirements with Security Command Center, while supporting accelerated change.

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As more organizations adopt open database standards, they need easy-to-use, high-performance migration tools, especially for heterogeneous migrations. In this session, we will focus on how Database Migration Service (DMS) is revolutionizing migrations from Oracle to AlloyDB for PostgreSQL. With a unique set of capabilities, DMS is harnessing the power of AI to accelerate these migrations and to improve developer productivity with last-mile code conversion and code explainability.

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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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Financial services and tech companies are racing to tap into the benefits of tokenization. Whether it’s the potential for instant settlement or the ability to create new financial markets around previously illiquid assets, it's clear that this emerging technology offers far more than speculative opportunities for investment. Tokenization promises not only to provide new markets around alternative assets, but also carries with it the potential to rethink capital market structures when it comes to the trading of securities and commodities. Our panelists will talk about the next big opportunities for technology providers and financial firms to tap into the potential of tokenized assets.

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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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Wrangle your API ecosystem into a unified landscape with Apigee API Hub. In this session, we’ll show how API Hub can help you: - Uncover a comprehensive inventory of all your APIs, regardless of their location or provider, shattering siloed visibility. - Foster collaboration and governance with a single, unified view of API usage across your organization, empowering teams to make informed decisions. - Fuel innovation with better API discoverability and reusability.

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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 mini course you will learn about different prompt design and engineering techniques commonly used in LLM-powered applications such as few-shot prompting and chain of thought reasoning. You will then apply these practices in a hands-on lab environment using the PaLM and Gemini Pro APIs.

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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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