In part 4 of this blog post series, we discuss how culture and innovation can either drive or block adoption of data driven Generative AI at exponential scale and what to do about it.
In part 3 of this blog post series, we discuss how a data fabric can be used to implement techniques borrowed from lean manufacturing to optimize the time required to integrate training data for LLMs and maximize business results.
We delve into sources of data friction that pose significant hurdles for utilizing enterprise data with LLMs
Meanwhile, IBM, HP, Microsoft, the EMC/VMware federation and other incumbents have taken notice and are investing heavily in new technology to help customers simultaneously achieve the business benefits of cloud computing, minimize migration risk and maintain platform stickiness. Case in point is ...
