IBM at Gartner Data and Analytics Summit

The rapid advances in generative AI are fueling great excitement. Within just a few years, one-third of generative AI interactions are expected to utilise autonomous agents, propelling a new wave of productivity for enterprises.

However, this potential can only be realised if the challenges surrounding AI trustworthiness, inferencing costs, domain-specificity, and effective and secure leveraging of quality enterprise data can be overcome. Data and AI leaders require a practical approach to accelerate AI adoption. Discover actionable techniques to maximise the value of your data for AI, learn from real-world examples of data and AI-driven innovation in defence and aerospace, and gain insights into fostering greater AI productivity across your teams with IBM watsonx.

This session explores how agentic AI—autonomous systems powered by large language models—drives real business value by automating complex, multi-step workflows. Attendees will learn how IBM’s watsonx Orchestrate platform enables enterprises to build, manage, and scale AI agents that improve productivity, reduce costs, and enhance customer and employee experiences across sales, HR, IT, and more.

The session highlights real-world use cases like IBM’s AskHR agent and offers insights into low-code/no-code tools for rapid AI agent development. Join to discover how agentic AI transforms digital labour and accelerates enterprise automation at scale..

There’s a lot of interest and buzz around AI agents, however, what separates an agent from an assistant? How do you bring agents to production and drive ROI for your business? Join IBM, clients, and partners, to learn how the latest AI agents and assistants are empowering teams with needed expertise, turning piles of data into personalized insights and automating business processes across various enterprise domains. .

Enterprises that possess high-quality data and governance and attest to the trust worthiness of their data among stakeholders have doubled the return on investment (ROI) from their AI. Learn how leading organizations today are implementing an open and trusted data foundation to secure and maximize the value of both their structured and unstructured data, accessing siloed data across hybrid cloud, cost-optimizing growing data workloads, and preparing and delivering high-quality, governed data for AI with a new approach to a data fabric architecture.