Machine Learning for the Masses

We've got a good one lined up here for all the Machine Learning for the Masses listeners out there... with Giuseppe Strafforello, the CTO of ExpertSystem USA... a company we've mentioned on the podcast before when my partner in crime Jerry Gay and I set out on a journey to find the state of the art in natural language processing. Guiseppe, or Pepi for those who know him well, has a wealth of knowledge as it relates to utilizing AI against language, NLP and natural language understanding.

We had a chance to sit down with MG Jennifer Napper (USA, Ret.), now VP of Cyber at Perspecta, to talk about a wide range of topics including cyber security and data management strategies. We also had the opportunity to discuss our partnership on a large scale data integration effort. NNData teamed with Perspecta to deliver a data integration and migration strategy through our cloud-based data management software NNCompass on AWS GovCloud operating on Elastic Cloud Compute (EC2).

Ntoh Etta, CEO of Horizon Global Partners, and I chat about AI in the enterprise, getting past buzz words, harnessing AI, and who is winning the AI arms race.

By popular demand I’m sitting down with Oscar Wood, CEO of NNData, to talk about many different things, including hidden data workforces, democratizing AI across a business, and how the world of ETL is changing.

Jerry Gay, NNData CTO and I talk about machine learning for unstructured data management, natural language processing (NLP), Gate’s Annie, Stanford NLP, why it’s difficult for companies to incorporate unstructured data into their pipeline or data management workflows, and why industry has a tough time responding to this gap

Talking to Joe Clark on the podcast, who is the principle scientist and owner of HSB Intel, a firm focusing on applied AI and machine learning, a variety of customers from NASA to the Defense Department. We talk about a range of AI-related subjects, but first I ask him to tell us a little bit about himself and how got involved in applied AI.