In this spotlight lab, you will learn how to use Gemini, an AI-powered collaborator in Google Cloud, to navigate and understand different areas of security in your environment in Security Command Center.

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Go beyond traditional DevRel! Learn how to supercharge your developer experience with the combined power of Firebase, Google Cloud, and communication APIs. Discover unconventional strategies, from gamification to controlling devices via messaging apps. Gain actionable insights to fuel community growth.

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A day in the life of a Google Cloud developer typically involves the use of multiple Google Cloud products and services. These products enable the developer to develop, test, deploy, and manage applications in the cloud. With assistance from Gemini, a developer can become more productive when using Google Cloud's products by using Gemini's interactive chat, code assistance, and embedded integrations. In this spotlight lab you will explore Gemini in an hands-on lab environment to see the different ways in which Gemini can be used in your development workflows.

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This presentation explores deploying retrieval augmented generation (RAG) on Vertex AI Search to enhance QAD's internal data search (Jira, Confluence, Google Sites). Discover how GenAI improves query responses, utilizing a user-friendly web app on Google App Engine to counteract the loss of institutional knowledge. Join us for insights into this innovative enterprise search solution. 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 today's rapidly evolving threat landscape, many traditional security operations struggle to match the rising tide of data. Discover how Chronicle, in collaboration with PwC's capabilities, can help propel your SecOps program forward. From a scalable security information and event management to proactive threat detection, learn how to revolutionize your security operations. Join us to stay ahead of emerging threats! 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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Dr. Rhiju Das will be hosting a pop-up meetup for anyone working on AI and machine learning for Bio. Dr. Das is a Professor of Biochemistry at Stanford University School of Medicine and has been an organizer of the "Stanford Ribonanza RNA Folding" Kaggle competition & the "OpenVaccine: COVID-19 mRNA Vaccine Degradation Prediction" Kaggle competition. All are welcome!

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Go is the language of the cloud: Startups, enterprises, and cloud providers themselves have long relied on Go to build and operate their business-critical systems and infrastructure. Now, with the onset of generative AI, developers can once again leverage Go’s signature capabilities to productively build scalable, secure, and production-ready AI-powered applications.

In this session, we’ll review Go’s growing AI ecosystem and walk through examples of how developers can integrate their Go services with both managed and open-source AI models.

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U.S. floods cause ~$3B in damage annually. The National Oceanic and Atmospheric Administration predicts changing water levels, giving scientists and managers time to act. However, the massive archive of forecasts is too complex for typical users. Learn how BYU and U of Alabama, with SADA and Google, are using BigQuery, Cloud Run, DataFlow, and API Gateway to make these forecasts accessible for mobile apps, flood-warning systems, and more, addressing crucial concerns like rising river levels or the likelihood of flooding.

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Discover what’s next with AI and data. Salesforce and Google Cloud are changing the game, bringing AI research and innovation directly to your data. Dr. Ali Arsanjani, Director of AI/ML Partner Engineering at Google Cloud & Head of AI Center of Excellence, and Kaushal Kurapati, SVP of AI, will discuss how the joint companies are empowering customers to make more insightful decisions, act faster, and drive better business outcomes using all of their customer data. Get the ins & outs from these AI experts to accelerate your journey

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Enabling generative AI powered applications on-premise can be challenging due to the complexity of managing infrastructure, the massive scale of data, and security and compliance. Customers with stringent data residency requirements can now access large language models (LLMs) that can be easily integrated in their applications automating natural language tasks such as transcription, text classification that make their workforce productive, or other application areas such as network mapping.

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Not every organization is adequately equipped to apply generative AI; you need the best tool for the job. Whether your organization is building security products or you’re a security analyst needing to quickly assess malicious behavior using signals from a variety of systems, this session shows how you can leverage generative AI across different use cases to more effectively and efficiently address your security challenges. Broadcom, a partner and trusted tester for AI security, will also share some best practices and provide insights from their experience.

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This session will highlight new capabilities of Gemini for Google Cloud that allow it to directly integrate with your Google Cloud infrastructure and data to provide highly personalized answers to questions about your cloud environment in real time. We’ll show how Gemini for Google Cloud can help you optimize workloads, observe your infrastructure and applications, and troubleshoot issues by using AI to query your cloud environment and provide tailored insights.

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Hosted Curated Lunch session in which our Google Cloud executive speakers, SME’s and Sales executives will be strategically placed at each table with LC customers

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The advent of Generative AI has ushered in an unprecedented era of innovation, marked by the transformative potential of Large Language Models (LLMs). The immense capabilities of LLMs open up vast possibilities for revolutionizing business ops and customer interactions. However, integrating them into production environments presents unique orchestration challenges. Successful orchestration of LLMs for Retrieval Augmented Generation (RAG) depends on addressing statelessness and providing access to the most relevant, up-to-date information. This session will dive into how to leverage LangChain and Google Cloud Databases to build context-aware applications that harness the power of LLMs. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Join Kranti Parisa, Vice President and Head of Product Engineering at Dialpad, as he walks you through mastering the art of integrating AI for an enhanced customer experience (CX). In this session, you’ll learn how to embrace the shift towards AI-first CX and leverage customer intelligence for informed decision-making. Seize the opportunity to optimize your contact center, align with evolving customer needs, and unleash the potential of AI for unparalleled service excellence.

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Modern apps and organizations are highly complex, comprising numerous vendors, products, and ever-evolving solutions. This dynamic environment makes it challenging to operate solely from an infrastructure viewpoint. App Hub addresses this by organizing infrastructure resources into an app-centric view that mirrors your business. In this session, we’ll demo how Gemini and App Hub can help app operators and security admins, use an app-centric approach to quickly obtain holistic context on the state of the system and recent events affecting it.

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RAG (retrieval-augmented generation) systems ground generative AI models in your own data, ensuring factuality, relevance, and control in the performance of your enterprise applications. However, building a RAG system from scratch is complex. In this session we'll share how Vertex AI Search can serve as an out-of-the-box RAG system for enterprise applications, handling data management, embedding, indexing, and retrieval with minimal setup time. Follow along to see how you can build and deploy a RAG-powered app in minutes and hours.

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Deploying AI to production can be bafflingly complex. Learn how Google Cloud is bringing its over two decades of expertise in productionizing planet scale AI to our cloud customers with the AI Hypercomputer architecture. It’s a groundbreaking supercomputing architecture built on performance-optimized hardware (TPUs, GPUs), open software (PyTorch, Jax, Kubernetes), and tailored consumption models that optimize efficiency and productivity across AI training, tuning, and serving. Plus, gain valuable insights from our customers Kakao Brain and Nuro on their journey to deploying large scale AI on Google Cloud.

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Discover the latest innovations within Google's machine learning ecosystem to help you navigate technology to bring ML to any device, website, or app. Uncover the power of generative AI with Gemini. From ideas to accelerated workflows, learn how to leverage Gemini’s capabilities for creative text formats, code generation, and more.

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Identities, access controls, and organizational guardrails are at the heart of your cloud security architecture. Google Cloud Identity and Access Management (IAM) is evolving, making it easy for you to onboard your workforce and workloads and empower operators and developers with friction-free access experiences. In this demo-packed session we will cover how AI is transforming Cloud IAM, our Custom Org Policy service that helps you define a strong security posture, and new security controls that help guard against insider threats and risk of data exfiltration. We will also share exciting updates on our new cloud-native capabilities for privilege management (PAM) and entitlement management (CIEM).

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