From Why to How: Making Agentic AI Work in the Enterprise
Learn how to move enterprise AI from pilots to controlled execution across systems and processes. Explore how unified, current and governed data gives agents the context to act in real time. The session also shows how the same approach applies across automotive, industrial service, retail and financial services.
Our speakers
Nick Albertini
Tealium
Dr. -Ing. Detlev Herbst
The webinar is for you, if
What you will learn
- You are responsible for AI, data, transformation or process design.
- You want to identify use cases with measurable business value.
- You need to define the right balance between AI-driven execution and human decisions.
- You are working with complex processes, multiple systems or fragmented data.
- How to connect an AI use case to the business process, owner, handoff and human oversight required for safe execution.
- How to identify and prioritise bounded use cases that can create measurable value without requiring unrestricted autonomy.
- What changes when organisations move from legacy models and rapid-response LLMs towards agentic experiences and real-time activation.
- Which foundations, including data readiness, governance, operating model and control mechanisms, need to be in place before AI can scale beyond a pilot.
Tealium facilitates the collection and unification of all customer data across web, mobile, offline, and IoT into a single source of truth. The customer data platform by Tealium empowers companies to securely store and activate customer data in real-time. To achieve this, Tealium offers over 1,300 standardized integrations with all common Martech and Adtech systems.
Diconium is a global tech company and end-to-end partner that builds, runs, and scales intelligence across the commerce value chain. With over 30 years of experience and as part of the Volkswagen Group, Diconium has a proven track record in building intelligent commerce ecosystems.