Models on the dance floor - data warehouse architecture - Data-powered Innovation Jam

Topics in this episode

data warehouse architecture Federated learning data architectures gesture sensing ai ethical issues

Episode notes

What happens when Professor Erik Proper of the Technical University of Vienna teams up with the ever-inquisitive ‘Dr. Bob’ Robert Engels - modestly supported by co-hosts Weiwei Feng and Ron Tolido - to discuss AI, models, semantics, ontologies, and context? A true PhD Fest? Or a practical exploration of the synergies between the academic and business words? Well, how about a bit of both. Our latest episode ‘Models on the Dancefloor’ dives deep into core topics around models and their renewed urgency and importance in a world that rapidly seems to hand over control to breakthrough, yet often poorly understood AI technologies. Models provide context and a common language between AI and humans, maybe not in a perfect or unambiguous way, but certainly paving the way for more reliable and trustworthy outcomes. It’s about collaborating engineering, enabled by a variety of ‘thinklets’ that urge to think about what type of intelligence is need at what step of decision-making.

Related episodes across the Index

Other episodes covering the same guests and topics, from across The B2B Podcast Index.

More from Data-powered Innovation Jam

All episodes →

Explore the best B2B AI & Data podcasts →