Google Cloud Next 2024

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Table of Contents

• AI & ML (18 videos)
• Analytics (2 videos)
• Compute (4 videos)
• Databases (5 videos)
• Developer Experience (14 videos)
• Keynote (3 videos)
• Search (1 videos)
• Security (7 videos)
• Serverless (1 videos)

AI & ML

Using Gemini AI workflows for productivity | Google Cloud This video showcases how Gemini AI workflows can enhance productivity across various use cases, including workspace management, code understanding, and security threat mitigation. The presentation highlights how AI-powered tools can streamline common tasks, enabling developers and professionals to work more efficiently and effectively. back to top

How businesses can leverage Google Gemini AI This video demonstrates how businesses can leverage Google Gemini AI to transform their operations and improve customer experience. It showcases how the Gemini AI model can provide personalized insights, recommendations, and automation to enhance data-driven decision-making and streamline various business functions. back to top

AI solutions for healthcare This video showcases AI solutions for healthcare, specifically in the field of radiology. It highlights the Calantic platform, which integrates various FDA-approved radiology platforms into a toolkit for radiologists, enabling better patient outcomes and improved care delivery. back to top

Accelerating AI inference workloads Google Cloud introduces innovative solutions to accelerate AI inference workloads, including JetStream for high-performance, cost-efficient serving of large language models on Cloud TPUs, and MaxDiffusion for efficient deployment of generative AI models on both Cloud TPUs and GPUs. The talk highlights the flexibility and performance optimizations offered by Google Cloud's AI accelerator platforms, empowering developers to build cutting-edge AI applications with ease. back to top

Generative AI with Google Cloud for founders and startups This video discusses the potential of generative AI for startups and founders on the Google Cloud platform. The speakers highlight the flexibility and extensibility of Google Cloud's AI offerings, which allow startups to leverage a range of models and applications to drive innovation and impact, particularly in areas like healthcare and creative industries. back to top

Google Cloud’s approach to generative AI This video discusses Google Cloud's approach to generative AI, highlighting innovative features like Gemini 1.5 Pro and Imagen, and how customers are leveraging these technologies to transform their businesses. The video also emphasizes Google's focus on responsible AI development, its deep integration between product, security, and research teams, and the ease of implementing generative AI solutions using Vertex AI agents. back to top

Easy and affordable access to GPUs for AI/ML workloads This session provides an overview of Google's Dynamic Workload Scheduler, a tool designed to offer easy and affordable access to GPUs for AI/ML workloads. The presenters discuss the two modes of the scheduler, Flex Start and Calendar Mode, and how they can help researchers and developers obtain GPU resources more efficiently and cost-effectively. back to top

Build generative apps faster with Vertex AI Vertex AI is introducing a suite of new APIs to help developers build generative applications faster and more reliably. These APIs leverage Google's expertise in areas like document understanding, vector search, ranking, and grounded generation to address common technical challenges faced by developers, enabling them to focus on building unique features for their applications. back to top

Build Generative AI Apps for Enterprises with Google Cloud This talk discusses how enterprises can build generative AI applications using Google Cloud's databases and cloud runtimes. The speakers highlight key use cases, advantages of pairing Google databases with Cloud Runtimes, and the benefits of the Retrieval Augmented Generation (RAG) approach, as well as provide best practices for implementing these Gen AI apps. back to top

What's the idea behind Golf with Gemini? Golf with Gemini is an innovative project that merges the enjoyment of mini-golf with advanced AI technology. By leveraging cutting-edge analytics, the system aims to redefine how we perceive and engage with sports, offering a unique and immersive experience for enthusiasts and casual players alike. back to top

How does AI for sports work? Artificial Intelligence (AI) is revolutionizing the world of sports, enabling professional-level sports broadcasting through the integration of video feeds, tracking data, and predefined prompts. This innovative approach combines computer vision, data analysis, and natural language generation to provide insightful and engaging commentary, transforming the way we experience and understand sports events. back to top

Can AI analytics be used with sports other than golf? This video explores the potential of AI analytics in sports beyond golf. The presenter suggests that the core computer vision and commentary generation technology used in golf can be adapted to track and analyze various types of objects, such as a hockey puck or a basketball, expanding the application of this technology to other sports. back to top

Accelerate AI adoption This video demonstrates how to use the familiar notebook experience to run a TPU cluster on Google Kubernetes Engine (GKE) for training large-scale AI models like Llama 2 70B. The video covers setting up the GKE TPU cluster, connecting the notebook to the cluster, and utilizing techniques like fully sharded data parallelization to optimize the training process. back to top

How generative AI can support medical staff This video showcases how generative AI can support medical staff by automating administrative tasks, such as nurse shift handoffs, to reduce burnout and improve productivity. The solution leverages pre-trained models, enterprise-grade search, and data harmonization capabilities to provide a seamless and efficient workflow for healthcare professionals. back to top

AI generated trivia games on Google Cloud This video showcases an AI-generated trivia game called 'The Hypergame' that runs on Google Cloud. The game features two modes: a traditional trivia game and a 'Hyper mode' that incorporates questions related to AI infrastructure, demonstrating the application of generative AI models in creating interactive and educational experiences. back to top

Gen AI for regulated industries | Google Distributed Cloud This video showcases Google's Distributed Cloud (GDC) solution, which enables regulated industries to leverage the power of Google Cloud in a fully disconnected, secure environment. The video demonstrates how GDC's GenAI Search Package can help organizations in regulated industries, such as finance, quickly ingest and search through new requirements, translate them, and compare them to existing technical specifications, all while maintaining data security and traceability. back to top

What do Google Cloud Next attendees think of when they hear "Gen AI"? This video captures the perspectives of various Google Cloud Next attendees on the topic of 'Gen AI'. Respondents express a range of views, including excitement, curiosity, and anticipation about the potential of emerging AI technologies and their practical applications. back to top

Build your own LLM on Google Cloud This video demonstrates how to fine-tune and deploy large language models (LLMs) on Google Kubernetes Engine (GKE). The presenter showcases the process of fine-tuning a Gemma-based model and a Dolly fine-tuned model, highlighting the differences in their capabilities and deployment strategies. back to top

Analytics

Extract value with assisted analytics This video demonstrates how Gemini, a platform for assisted analytics, can help non-technical users interact with various data sources, such as databases and CRM systems, without requiring SQL expertise. The platform automatically translates natural language prompts into SQL queries, retrieves the data, and presents the results in plain English, enabling users to extract valuable insights from their data quickly and efficiently. back to top

Connecting data sources with AI | Google Cloud This video showcases how Google Cloud's data analytics and AI solutions can help businesses make more informed and sustainable decisions across their supply chain. By integrating various data sources, including real-time sensor data and satellite imagery, the application provides an immersive and interactive platform for visualizing and optimizing operations, transportation, and facility management to reduce environmental impact. back to top

Compute

The UPS network of the future The video showcases the partnership between Google Cloud and UPS, highlighting their initiatives around Smart Package Smart Facility (SPSF) and digital twin technology. These technologies aim to improve package visibility, delivery efficiency, and proactive planning within UPS's logistics network, with Google Cloud providing the underlying data aggregation, simulation, and visualization capabilities. back to top

How CIOs can reduce cloud cost This video showcases three Google Cloud Platform (GCP) products that can help CIDs reduce cloud costs: N4 instances with dynamic resource management, Hyperdisk storage pools for efficient storage utilization, and Managed Instance Groups for automated scaling and load balancing. These solutions aim to provide customers with flexibility, performance, and cost-efficiency for their workloads running on GCP. back to top

Modernization of manufacturing processes The video showcases the modernization of manufacturing processes through the use of Google Cloud's Manufacturing Data Engine solution. It highlights how this technology can help manufacturers improve efficiency, productivity, and visibility, as well as address customer demand more accurately and on time. back to top

Google Distributed Cloud for retail and manufacturing Google Distributed Cloud (GDC) is a powerful platform that enables customers in retail and manufacturing industries to leverage the latest AI innovations, modern infrastructure, and edge computing to deliver enhanced customer experiences. The video showcases how GDC can support use cases such as predictive analytics, store insights, and intelligent search, allowing customers to process data locally while seamlessly deploying applications on the cloud. back to top

Databases

Scaling and innovating with Google Cloud databases This video discusses the challenges organizations face when not using Google Cloud Databases and how Google Cloud Databases can help alleviate these challenges. The video provides insights from two customers, Palo Alto Networks and ONE, who have successfully migrated to Google Cloud Databases and the strategies they used to ensure a smooth transition. back to top

Google Cloud Storage: managing billions of objects This video discusses the challenges of managing billions of objects in Google Cloud Storage and the new features introduced by Google to address these challenges. The video highlights the storage insights data sets, Gemini natural language querying, and bucket relocation capabilities that simplify storage management at scale and help customers stay secure, compliant, and cost-effective. back to top

Scaling your applications with Cloud SQL for MySQL This video discusses the scaling capabilities of Google Cloud SQL for MySQL, highlighting new features such as subsecond downtime for planned maintenance, data cache for improved read throughput, and the introduction of vector search functionality. The video also showcases real-world use cases and customer examples, demonstrating the versatility of Cloud SQL for MySQL in supporting diverse applications, including those leveraging generative AI technologies. back to top

Maximizing Cloud SQL database availability This video discusses how Cloud SQL, a managed database service, can maximize the availability of customer databases. It covers the common causes of downtime, the introduction of near-zero downtime planned maintenance, and the benefits for critical applications using generative AI, as well as the best practices for disaster recovery. back to top

Google Gemini Enterprise AI with with AlloyDB for PostgreSQL Google's AlloyDB for PostgreSQL is an enterprise-grade relational database that combines the best of Google's technology with the familiarity of PostgreSQL. The presentation highlights AlloyDB's Columnar Engine, which accelerates analytical queries, and its Database Migration Service, which leverages the Gemini AI system to simplify the process of migrating databases from other platforms. back to top

Developer Experience

What is Google Gemini Code Assist? Google Gemini Code Assist is a collection of tools that integrate directly into developers' Integrated Development Environments (IDEs) like VS Code and JetBrains, providing assistance with writing, transforming, testing, and understanding code. The tools offer features such as code explanation, which can break down unfamiliar code into bullet points, helping developers quickly grasp the purpose and functionality of the codebase they are working on. back to top

2024 Developer Keynote recap with Chloe Condon The 2024 Developer Keynote at Google Cloud Next featured Chloe Condon showcasing innovative technologies like Gemini for building generative AI apps and modern ops tools. The talk covered the behind-the-scenes effort required to deliver such a polished presentation and the value of in-person conferences for fostering meaningful connections within the developer community. back to top

Unlocking Document Automation with Vertex AI Platform This video showcases the Vertex AI Platform's capabilities in document automation, including the use of Generative AI for efficient information extraction, search, and question-answering from large document sets. The solution demonstrates end-to-end automation, from ingesting documents to generating personalized insights and responses, highlighting the rapid advancements in this technology that are transforming document processing and analysis. back to top

Using Google Gemini AI for managing infrastructure and apps This video highlights how Google's Gemini AI is being used to manage infrastructure and applications in the Google Cloud platform. The video discusses how Gemini can assist with workload optimization, observability, and security, providing developers with seamless integration into their daily workflow. back to top

Google Cloud Marketplace for deploying AI models faster The video discusses how the Google Cloud Marketplace can help organizations procure and deploy AI models faster. It highlights the new generative AI category on the Marketplace, the benefits of the platform in terms of accessibility, procurement, deployment, and governance, and the steps to get started using the Marketplace. back to top

A guide to Gemini APIs and integrations in Apigee The video discusses the benefits of using Gemini Code Assist, an AI-powered tool integrated into the Apigee platform, for accelerating the development of APIs. The presenters highlight how Gemini Code Assist can help developers overcome common challenges in API development, such as discovering existing APIs and generating initial API specifications, while seamlessly integrating into their existing workflows. back to top

Generative AI app development with Cloud SQL for PostgreSQL The video discusses the benefits of using Cloud SQL for PostgreSQL as a vector database for building generative AI applications. It highlights the ease of setup, the availability of enterprise-grade features, and the importance of observability and performance optimization when deploying such applications in production. back to top

Building LLM Apps on Google Cloud App Engine This video discusses the development of generative AI applications on Google Cloud using the LangChain framework. The speakers, Wietse Venema and Steren Giannini, explain the benefits of deploying LangChain on Google Cloud's serverless platform, Cloud Run, and demonstrate how to quickly build and deploy a chatbot application that interacts with release notes using LangChain and Cloud Run. back to top

A guide to building Google Gemini API key This video provides an overview of the Gemini Code Assist feature in Google's Application Integration service. The speakers discuss how Gemini Code Assist can help developers by providing proactive recommendations, leveraging organizational context, and automating business processes from natural language prompts, making it a true companion in the integration development workflow. back to top

2024 Developer Keynote recap with Kaslin Fields In this video, Kaslin Fields, a developer advocate at Google Cloud, discusses the highlights of the 2024 Developer Keynote, focusing on running and improving production AI applications using Google Kubernetes Engine (GKE). She showcases the Retrieval Augmented Generation (RAG) technique, which enhances large language models with contextual information from a database, enabling more accurate and fact-checked responses. back to top

2024 Developer Keynote recap with Richard Seroter The 2024 Developer Keynote by Richard Seroter, Google Cloud's Chief Evangelist, highlighted the exciting advancements in Gemini AI, including Gemini Code Assist, Gemini Cloud Assist, and the integration of Gemini with BigQuery. These innovations promise to simplify the development process, enhance developer productivity, and increase trust in AI-powered software solutions. back to top

Use cases for Gemini Code Assist Gemini Code Assist is a powerful tool that goes beyond just writing code. It offers a range of features, including commenting, performance optimization, bug detection, code explanation, and even automated test generation. This versatile assistant can be accessed directly from the console or integrated into your preferred IDE, enhancing the efficiency and productivity of software development workflows. back to top

Where can I find Google Cloud documentation? Navigating the vast expanse of Google Cloud documentation can be a daunting task, but the solution lies at cloud.google.com/docs. This concise video provides a clear and direct path to accessing the comprehensive resources needed to master the Google Cloud platform. Whether you're a seasoned cloud professional or a newcomer, this video offers a streamlined approach to discovering the wealth of information available at your fingertips. back to top

What have Cloud Next 2024 attendees learned at Cloud Next? The video highlights the key takeaways from attendees at the Google Cloud Next 2024 conference. Attendees discuss learning about effective communication, cloud support for OpenTelemetry, document insights, Earth Engine and generative AI, embedded search, and the importance of prompting for desired AI outputs. back to top

Keynote

Thank you developers for a fun Cloud Next This video offers a concise and abstract summary of the Cloud Next conference, highlighting the wealth of content and the availability of future highlights on the channel. The speaker expresses enthusiasm for the event and encourages viewers to explore the developer keynote and other upcoming content. back to top

Welcome to Cloud Next 2024 Las Vegas Join us as we explore the cutting-edge innovations and insights unveiled at Cloud Next 2024 in Las Vegas. Immerse yourself in a dynamic showcase of the latest advancements, where industry leaders share their visions and attendees engage in thought-provoking discussions that shape the future of cloud computing. back to top

Next 2024 at Las Vegas Explore the future of cloud computing at Google Cloud Next 2024 in Las Vegas, where visionary keynotes, innovative showcases, and exciting product announcements will take center stage. Discover how the latest Google Cloud technologies can revolutionize your business and empower your workforce, and register today to be a part of this transformative event. back to top

Search

What is semantic search? Semantic search goes beyond simple keyword matching to understand the intent behind a query and the relationships between words. By leveraging techniques like vector embeddings, semantic search can recognize related phrases and concepts, even if they don't share the exact same words as the original query. back to top

Security

Google Cloud security solutions This video discusses the security challenges faced by the automotive industry as cars become more connected and data-driven. The video highlights how Google Cloud's security solutions can help automotive manufacturers secure their data, mitigate supply chain risks, and future-proof their security strategies as technology and threats evolve. back to top

Protecting workloads with Google Cloud next generation firewall This video discusses Google Cloud's Next Generation Firewall, which provides advanced security features to protect dynamic cloud workloads. The speakers highlight the firewall's distributed architecture, hierarchical policy management, and seamless integration with other Google Cloud tools, making it an accessible and powerful security solution for cloud environments. back to top

New posture and infrastructure as code protection The video discusses the new features of Google Cloud's Security Command Center Enterprise, including security posture and infrastructure as code (IaC) protection capabilities. These features aim to help security professionals and developers work more efficiently and proactively to prevent security issues, with seamless integration into existing workflows. back to top

Elevate security with Gemini AI | Google Cloud The video discusses how Gemini AI can elevate security on Google Cloud by addressing key challenges in the security industry, such as the growing number of threats, lack of talent, and the burden of manual processes. Gemini AI is integrated into various security products, enabling summarization of vast information, natural language-based investigation, and automated playbook generation to enhance security operations. back to top

Google Cloud cybersecurity solutions This video provides an overview of Google Cloud's cybersecurity solutions, focusing on three core principles: security guardrails, network security, and security monitoring. The speakers discuss how these solutions help customers manage user identities, control access, protect web applications, and monitor their cloud environments for vulnerabilities and threats. back to top

Security Operations & Threat Intelligence | Google Gemini This video showcases Google's Gemini, a security operations and threat intelligence platform that streamlines the security analyst's workflow by automating alert analysis, providing contextual insights, and enabling quick investigation through pre-populated searches. The platform's AI-driven capabilities reduce toil and empower analysts to efficiently respond to security incidents, making it a game-changer in the field of security operations. back to top

Multi-cloud security made easy for DevOps This video showcases the expanded capabilities of Google Cloud's Security Command Center Enterprise, which now provides multi-cloud security management, including support for AWS and Azure. The solution integrates threat detection, vulnerability management, and compliance monitoring across cloud environments, empowering DevOps teams to effectively secure their multi-cloud infrastructure. back to top

Serverless

Google Cloud Serverless: Accelerate your AI This video discusses how Google Cloud's serverless offerings, particularly Cloud Run, can be leveraged to accelerate AI development. The speaker, Sara Ford, a developer relations engineer at Google, presents three demos showcasing the integration of Vertex AI and Gemini with Cloud Run, highlighting the benefits of serverless computing, such as automatic scaling and reduced DevOps overhead. back to top