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Can industry process models fix the agentic AI data problem?
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Generative and agentic AI are rapidly infiltrating enterprise software. But both are prone to data management issues that can hobble their effectiveness and lead to AI hallucinations and faulty decision-making that carry significant risks for businesses.
In this episode, we examine an innovative approach that aims to solve these data problems by basing AI models on standard, industry-specific business processes and compliance guardrails while using agentic AI to automate data orchestration across enterprise applications.
Featuring: Geraldine McBride, CEO, MyWave
In today's episode, we'll also cover:
- Why MyWave's agentic AI doesn't require perfect data.
- Developing process models for 27 industries.
- How SAP Joule copilot and MyWave agents work together.
- How the agents can help migrate on-premises SAP ERP to S/4HANA Cloud.
References:
- MyWave video case studies
- What is agentic AI? Complete guide
- Agentic AI governance strategies
- SAP sits Joule at the helm of apps, data "flywheel"
To learn more about enterprise applications, check out Search ERP.
To watch the video version our podcast, subscribe to our YouTube channel, @EyeOnTech.
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