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
While Amazon, Facebook, Google and other “digital native” companies rapidly launch new products and services with a modular, automated, standardized approach (Devops/Agile), traditional companies increasingly struggle to compete because they can’t take advantage of actionable data being held hostage by traditional and SaaS software vendors, legacy systems, and business silos.
In the first article of this series, I spoke about how and why cloud IT providers use lock-in. I'll briefly revisit this and then focus on strategies to maintain buyer power by minimizing lock-in.
