Afraz Jaffri

Analytics and BI platforms and data Science and machine learning platforms are important technologies that drive insight-driven decision making and allow AI systems to be built and operationalized throughout the enterprise. This session unpacks the Magic Quadrants of both markets and gives inisght on the trends that you should be aware of.

AI agents can upend traditional AI use cases and unlock transformative potential, but the real danger isn’t overhyping their power — it’s overestimating your organization’s readiness. D&A leaders must see past the hype, sidestep common pitfalls, and build the foundation needed for true AI success.

Generative AI technologies and techniques are evolving at an unprecedented pace, accompanied by significant hype, making it challenging for leaders to navigate this dynamic landscape. AI leaders can leverage this Hype Cycle to identify the innovations most worth pursuing as they shape and execute their AI strategies.

While AI is gaining the attention of business leaders, data science remains an important business capability for driving decision making that should not be neglected. The choice is not between AI and data science but on how to combine predictive and prescriptive techniques so organizations can leverage the best of both worlds to create better solutions.