Many organisations already have enterprise AI capabilities in place, including central AI platforms, governance frameworks, security controls and established operating models. The rapid evolution of SAP's AI portfolio, including Joule, SAP Business AI and Business Data Cloud, has introduced an important strategic question: how should SAP's AI capabilities fit within a wider enterprise AI ecosystem?

In this session, AstraZeneca share their journey of evaluating and integrating SAP's AI stack alongside an existing enterprise AI platform. They explore where SAP's capabilities complemented their current investments, where overlap created challenges and how they approached decisions around architecture, governance, ownership and value realisation.

Through practical examples and honest lessons learned, they will discuss the trade-offs they encountered, the decisions they made and the outcomes that they are beginning to see. Attendees will gain a realistic view of what it takes to balance SAP-native innovation with broader enterprise AI strategies.#

Key Takeaways

Define the right role for SAP AI in your technology landscape: Understand how to evaluate what should sit within SAP's AI ecosystem versus your wider enterprise AI platform.
Address governance and integration challenges early: Learn the critical questions to ask around architecture, security, data management, ownership and operational responsibilities before scaling AI initiatives.
Benefit from real-world leassons and outcomes: Gain practical insights into what worked, what didn't, the compromises made along the way and where measureable business value has started to emerge.

An AI Strategy: When SAP AI Meets Enterprise AI

Speakers

Vadim Klimov

Sambit Mishra