What Makes an AI Project a Success or a Failure

Alois Reitbauer – Chief Technology Strategist, Head of Open Source, Lead Dynatrace Research, shares insights into the evolution of AI applications over the past decade. He reflects on the initial scepticism towards AI and how attitudes have shifted towards embracing AI for its ability to simplify tasks and improve efficiency. Alois emphasises the importance of understanding the business problem first before delving into AI solutions. He discusses the significance of focusing on customer solutions rather than merely adopting AI for the sake of it, highlighting the need for practicality and relevance in AI application development.

Alois examines the technical aspects of building successful AI applications, and stresses the importance of predictive AI, causal AI, and generative AI. He explains how these components work together to create effective AI systems, using examples from Dynatrace’s experience in developing AI-based solutions for production environments. Alois emphasises the need for explainable AI and discusses…