Digital businesses began production use of generative AI in 2023 and accelerated in 2024. Advanced adoption can drive an average of 11% in increased earnings. A focus on improving specific business functions shows the most consistent ROI across use cases. What are the numbers when it comes to human resources, supply chain management, IT automation, code development, and beyond? How are companies drilling down to unit economics? What ROI models are most effective for AI efforts? This session explores recent analyst reports, together with actual customer stories, to discover the real numbers and metrics around specific ROI efficiencies.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024

Amazon SageMaker allows data scientists and ML engineers to accelerate their generative AI journeys by deeply customizing publicly available foundation models (FMs) and deploying them into production applications. The journey begins with Amazon SageMaker JumpStart, an ML hub that provides access to hundreds of publicly available FMs, such as Llama 3, Falcon, and Mistral. Join this session to learn how you can evaluate FMs, select an FM, customize it with advanced techniques, and deploy it—all while implementing AI responsibility, simplifying access control, and enhancing transparency.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024

In this session, gain the skills needed to deploy end-to-end generative AI applications using your most valuable data. While this session focuses on the Retrieval Augmented Generation (RAG) process, the concepts also apply to other methods of customizing generative AI applications. Discover best practice architectures using AWS database services like Amazon Aurora, Amazon OpenSearch Service, or Amazon MemoryDB along with data processing services like AWS Glue and streaming data services like Amazon Kinesis. Learn data lake, governance, and data quality concepts and how Amazon Bedrock Knowledge Bases, Amazon Bedrock Agents, and other features tie solution components together.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024

The media team at the National Football League (NFL) embraced the power of Amazon Q Business to revolutionize their content production processes. By integrating this cutting-edge technology into their workflow, they significantly accelerated the creation and publication of their media assets, game highlights, social media posts, and graphics while boosting their talented content creators’ productivity. Join this session to learn best practices from the NFL’s pioneering journey, the impact it has had on their business, and the roadblocks to avoid. Walk away with practical lessons for how you can use Amazon Q Business to boost your content production.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024

What will change next year? In the age of generative AI, the answer is simple: Everything! Published at: https://www.eckerson.com/articles/predictions-2025-everything-is-about-to-change

Agents come in all shapes and sizes. This session will showcase a multi-agent solution built using Azure OpenAI Service by Capgemini for Unilever to boost sales through more effective interactions. The GenAI solution, developed with Azure AI Foundry, integrates seamlessly with a communications platforms for personalized responses and Microsoft Teams integration for enhanced collaboration. Join this technical session to learn how to build an innovative multi-agent system.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Henk Boelman * Douwe van de Ruit * Sjoukje Zaal

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

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MSIgnite

Join us for an engaging session where we explore McKesson's transformative journey in leveraging Azure AI to revolutionize the healthcare industry. As a Fortune 10 company, McKesson plays a pivotal role in the healthcare economy. This session will showcase how Ontada, an entity within McKesson to digitize patient data across oncology centers across the US and leveraged generative AI to create new revenue streams.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Jay Hugalavalli * Amit Mukherjee * Wanmei Ou * Xuhui Quan

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

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MSIgnite

Discover the future of AI optimization! AI is revolutionizing businesses, but scaling AI from proof-of-concept to production uncovers challenges in cost and performance. Enter ""semantic caching,"" a game-changer that reduces LLM costs while boosting response times. This session covers Azure Managed Redis as a vector database, its use as a semantic cache for Azure OpenAI Service, and more! Learn best practices and real-world examples to supercharge your GenAI apps with Azure Managed Redis.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Balan Subramanian * Kyle Teegarden

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

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MSIgnite

In this session, we’ll explore advanced strategies for scalable serverless RAG applications using Azure Cosmos DB and DiskANN. Topics include architecture simplification, data synchronization, scalability challenges, and multi-tenancy. We’ll discuss the latest developments in vector search, full-text search, and hybrid search in Azure Cosmos DB, showcasing real-world use cases from our customers like EY. Learn how to get started easily with LangChain and Semantic Kernel.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Bhaskar Bhatt * James Codella * Zhe Li

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

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MSIgnite

GenAI applications and Copilots are transforming the SQL experience. Join us to learn how Microsoft delivers an optimal platform for new AI workloads using vectors and RAG patterns, while ensuring ROI, performance, and security your business demands today. Discover the latest innovations for Azure SQL for gen AI applications and database context-aware Copilots, powered by Azure SQL Database Hyperscale. Ensure your SQL estate is future-ready in this era of intelligent applications and analytics.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * John Tracy * Bob Ward * Muazma Zahid

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

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MSIgnite

Join us for a deep dive into Azure AI Foundry with a focus on security and IT governance. This session is tailored for IT admins, security pros, and developers committed to shifting left in their security practices. We'll explore enterprise security promises in Azure AI, including capabilities and controls for network security, data encryption, and identity management to ensure your GenAI projects remain secure and compliant throughout the GenAI development lifecycle.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Dennis Eikenboom * Meera Kurup

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

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MSIgnite

Discover the power of GenAI in Toyota’s powertrain development. Learn how Toyota improves information collection, enhances decision-making, and boosts productivity for powertrain engineers with a multi-agent system built with Azure AI Foundry and Azure Cosmos DB. Join us to get a glimpse into the future of agent technology and data management with Azure, and hear from Toyota first-hand how they are using AI to innovate vehicle design.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Mark Brown * Marco Casalaina * Kosuke Miyasaka * Kenji Onishi

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

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MSIgnite

Recent advances in AI have finally made headway in solving the language barrier that has divided humanity since prehistoric times. Now, AI brings the ability to translate text, documents, speech and images in real-time. Join us to learn how you can bring high quality, customized Translator AI models into your GenAI app development regardless of where you deploy your AI - in the cloud or on edge devices that you use everyday.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Marty DeGraff * Krishna Doss Mohan * Michelle Niethammer

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

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MSIgnite

What does RAG at scale look like? When building your own copilot, how do you know your application is delivering the responses as designed? Join our session with AT&T, where Mark will share how they built a RAG knowledge management platform on Azure AI Search, powering hundreds of GenAI applications across the organization. We will show how RAG quality is measured, and the variety of use cases built on top of this RAG platform. See what RAG at scale truly looks like in production.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Mark Austin * Ben Tezcan

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

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MSIgnite

We’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here. The convergence of AI and business intelligence is creating new opportunities for innovation. As AI becomes more embedded in BI tools, the challenge lies in fostering a data-driven culture within organizations. How can professionals bridge the gap between intuition and data-driven decision-making? What strategies can be employed to cultivate a culture where data is at the forefront of business decisions? And how can AI tools be leveraged to make data insights more accessible to all employees? Omri Kohl is the CEO and co-founder of Pyramid Analytics, the Trusted Analytics Platform built for the enterprise. He leads Pyramid’s strategy and operations through a fast-growing data and analytics market. Kohl brings a deep understanding of analytics and AI technologies, valuable management experience, and a natural ability to challenge conventional thinking. Since Kohl founded Pyramid in 2009, it has achieved significant market success and customer growth. Kohl is a highly experienced entrepreneur with a proven track record developing and managing fast-growth companies. In the episode, Richie and Omri explore the evolution of BI with AI, the importance of data-driven culture, the role of generative BI in democratizing insights, the balance between intuition and data, and much more. Links Mentioned in the Show: Pyramid AnalyticsConnect with OmriPyramid Analytics GenBI DemoCourse: Introduction to Data CultureRelated Episode: Self-Service Business Intelligence with Sameer Al-Sakran, CEO at MetabaseRewatch sessions from RADAR: Forward Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

We’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here. Integrating generative AI with robust databases is becoming essential. As organizations face a plethora of database options and AI tools, making informed decisions is crucial for enhancing customer experiences and operational efficiency. How do you ensure your AI systems are powered by high-quality data? And how can these choices impact your organization's success? Gerrit Kazmaier is the VP and GM of Data Analytics at Google Cloud. Gerrit leads the development and design of Google Cloud’s data technology, which includes data warehousing and analytics. Gerrit’s mission is to build a unified data platform for all types of data processing as the foundation for the digital enterprise. Before joining Google, Gerrit served as President of the HANA & Analytics team at SAP in Germany and led the global Product, Solution & Engineering teams for Databases, Data Warehousing and Analytics. In 2015, Gerrit served as the Vice President of SAP Analytics Cloud in Vancouver, Canada. In this episode, Richie and Gerrit explore the transformative role of AI in data tools, the evolution of dashboards, the integration of AI with existing workflows, the challenges and opportunities in SQL code generation, the importance of a unified data platform, leveraging unstructured data, and much more. Links Mentioned in the Show: Google CloudConnect with GerritThinking Fast and Slow by Daniel KahnemanCourse: Introduction to GCPRelated Episode: Not Only Vector Databases: Putting Databases at the Heart of AI, with Andi Gutmans, VP and GM of Databases at GoogleRewatch sessions from RADAR: Forward Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

Ian Carrasco demonstrates multimodal GenAI apps with Gemini and FlutterFlow.

The success of GenAI apps is decided by the accuracy of their responses. Using Retrieval Augmented Generation (RAG), you can improve accuracy by grounding GenAI app responses in your data. In this session, explore advanced RAG techniques in Azure Database for PostgreSQL including new vector search algorithms, parameter tuning, hybrid search, semantic ranking, and the GraphRAG approach. See how customers are using these techniques to deploy corporate development platform for GenAI apps.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Maxim Lukiyanov * Orhun Oezbek * Jay Yang

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

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MSIgnite

Dive into the intelligence that powers artificial intelligence Artificial intelligence is swiftly moving from a sci-fi future to a modern reality. This edition of Artificial Intelligence For Dummies keeps pace with the lighting-fast expansion of AI tools that are overhauling every corner of reality. This book demystifies how artificial intelligence systems operate, giving you a look at the inner workings of AI and explaining the important role of data in creating intelligence. You'll get a primer on using AI in everyday life, and you'll also get a glimpse into possible AI-driven futures. What's next for humanity in the age of AI? How will your job and your life change as AI continue to evolve? How can you take advantage of AI today to make your live easier? This jargon-free Dummies guide answers all your most pressing questions about the world of artificial intelligence. Learn the basics of AI hardware and software, and how intelligence is created from code Get up to date with the latest AI trends and disruptions across industries Wrap your mind around what the AI revolution means for humanity, and for you Discover tips on using generative AI ethically and effectively Artificial Intelligence For Dummies is the ideal starting point for anyone seeking a deeper technological understanding of how artificial intelligence works and what promise it holds for the future.

A Fireside Chat with Hugo Bowne-Anderson and Alex Filipchik (Head of Infrastructure, Cloud Kitchens) on how machine learning (ML) and AI are evolving from niche specializations into essential engineering disciplines. Topics include engineering ML and AI at scale, the shift from specialist roles to core engineering, practical infrastructure decisions, generative AI use cases, simplifying ML adoption for engineers, and the future of data and ML engineering.