Whilst SAP has simplified the initiation of AI projects, sustainable value hinges on one frequently overlooked asset: your historical data. This session of our webinar series examines why high-quality data is fundamental for dependable predictions, how businesses can transform dormant data into competitive advantage, and what strategic steps leaders should implement to prepare for AI-driven transformation.
Data quality: The key to AI-driven success in SAP S/4HANA
Data forms the cornerstone of every AI initiative, yet many organisations underestimate its significance. As SAP continues to integrate AI capabilities throughout S/4HANA, companies are keen to embark on AI projects to streamline processes and generate fresh insights. However, the genuine distinction between mere hype and measurable outcomes resides in the quality and comprehensiveness of the data powering these solutions. Without adequate historical data, predictive models cannot provide meaningful guidance, and investments fail to deliver expected returns.
Watch the webinar on Unlocking SAP S/4HANA’s AI potential here
Key discussion points
- Recognise the vital importance of historical data in constructing reliable AI models and generating accurate predictions within SAP environments.
- Examine the obstacles organisations encounter when data is compartmentalised, inaccessible, or relegated during AI initiatives.
- Assess methodologies for activating and preparing archived SAP data to power high-quality AI outcomes.
- Implement practical frameworks for data governance, accessibility, and integration to optimise AI’s predictive capabilities.
Conclusion
This session, facilitated by AI strategy expert and former SAP AI executive Andreas Welsch alongside TJC Group leadership, investigates how businesses can unlock the untapped potential of their SAP data. Discover why data accessibility and governance are essential, how archived information can become a source of AI differentiation, and what practical measures leaders can implement today to prepare their landscapes for future-ready AI solutions.
The webinar also addresses strategies for integrating legacy data, circumventing common pitfalls in early AI adoption, and ensuring projects deliver concrete, reliable outcomes rather than experimental results. Stay on top of the game with TJC Group!
