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Global enterprises are under pressure to boost productivity, accelerate innovation and lower costs, all while managing complex technology landscapes. Multi-agent AI systems are essential to revolutionizing IT delivery and how industry leaders drive business value. In this session, hear from one of the world’s largest telcos on how they are partnering with Microsoft and IBM to deploy agentic AI to build more resilient and available IT systems that can accelerate innovation at scale.
As AI adoption accelerates, unstructured data has emerged as a critical—yet often overlooked—asset for building accurate, trustworthy AI agents. But preparing and governing this data at scale remains a challenge. Traditional data integration and RAG approaches fall short. In this session, discover how IBM enables AI agents grounded in governed, high-quality unstructured data. Learn how our unified data platform streamlines integration across batch, streaming, replication, and unstructured sources—while accelerating data intelligence through built-in governance, quality, lineage, and data sharing. But governance doesn’t stop at data. We’ll explore how AI governance extends oversight to the models and agents themselves. Walk away with practical strategies to simplify your stack, strengthen trust in AI outputs, and deliver AI-ready data at scale.
Enterprises deploying generative AI models can reimagine the limits of their business operations. However, many organizations are concerned about cybersecurity risk and consider it the number one blocker to generative AI adoption. With AI models and data becoming the new attack surfaces, proper visibility, security, and governance are required to stand up to new-age threats. Meanwhile, organizations migrating to the cloud need to meet compliance standards to maintain their security posture. This lightning talk provides a demo of IBM’s technology and services to migrate, secure, and monitor AI models and data across your AWS environments while harnessing the power of AI to maintain security compliance. This presentation is brought to you by IBM, an AWS Partner.
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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.
Legacy data warehouses are costly to maintain, unscalable and cannot deliver on data science, ML and real-time analytics use cases. Migrating from your enterprise data warehouse to Databricks lets you scale as your business needs grow and accelerate innovation by running all your data, analytics and AI workloads on a single unified data platform.
In the first part of this session we will guide you through the well-designed process and tools that will help you from the assessment phase to the actual implementation of an EDW migration project. Also, we will address ways to convert PL/SQL proprietary code to an open standard python code and take advantage of PySpark for ETL workloads and Databricks SQL’s data analytics workload power.
The second part of this session will be based on an EDW migration project of SNCF (French national railways); one of the major enterprise customers of Databricks in France. Databricks partnered with SNCF to migrate its real estate entity from Oracle DW and IBM DataStage to Databricks on AWS. We will walk you through the customer context, urgency to migration, challenges, target architecture, nitty-gritty details of implementation, best practices, recommendations, and learnings in order to execute a successful migration project in a very accelerated time frame.
Talk by: Himanshu Arora and Amine Benhamza
Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc
ABOUT THE TALK: Wesley Faulkner explores the various types of communities and discusses how to determine the most suitable one for your company at various stages of growth. Whether you are looking to double down on your current community or expand to new platforms, Wesley provides the guidance you'll need to make informed decisions about building a strong and effective community.
ABOUT THE SPEAKER: Wesley Faulkner is a first-generation American, public speaker, and podcaster. He is a founding member of the government transparency group Open Austin and a staunch supporter of racial justice, workplace equity, and neurodiversity. His professional experience spans technology from AMD, Atlassian, Dell, IBM, and MongoDB.
ABOUT DATA COUNCIL: Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers.
Make sure to subscribe to our channel for the most up-to-date talks from technical professionals on data related topics including data infrastructure, data engineering, ML systems, analytics and AI from top startups and tech companies.
FOLLOW DATA COUNCIL: Twitter: https://twitter.com/DataCouncilAI LinkedIn: https://www.linkedin.com/company/datacouncil-ai/
ABOUT THE TALK: D. Sivakumar discusses the evolving -- and immensely powerful -- role that generative AI methods, especially in NLP and Vision, play in Search, broadly construed. Through a number of anecdotes and organizing principles, he highlights a handful of key challenges and promising directions.
ABOUT THE SPEAKER: D. Sivakumar (Siva) is co-founder and CEO of Tonita.co, whose mission is to bring fluent natural-language search to every search box on the Web. Prior to founding Tonita in 2021, he worked in the research organizations at Google, Yahoo!, and IBM. His research has spanned algorithms and complexity, web search, and deep learning.
ABOUT DATA COUNCIL: Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers.
Make sure to subscribe to our channel for the most up-to-date talks from technical professionals on data related topics including data infrastructure, data engineering, ML systems, analytics and AI from top startups and tech companies.
FOLLOW DATA COUNCIL: Twitter: https://twitter.com/DataCouncilAI LinkedIn: https://www.linkedin.com/company/datacouncil-ai/
Agentic AI has permanently altered the way enterprises do business, improving time to value, productivity and the automation of complex workflows. However, with increased deployment of AI comes an increased need to manage and optimize siloed agents. In this demo, see how IBM Consulting is helping clients build, manage and orchestrate a team of agents that unlocks greater speed, increases productivity and maximizes ROI.
IBM and Microsoft are two leaders in enterprise AI that have come together to enable our clients to realize the full value of their AI investments and unlock AI agents at scale. In this interview, learn from our leaders on how we are combining our deep expertise with state-of-the-art technology to help enterprises reinvent themselves in the era of agentic AI.