Podcast: Natural Language Understanding with Pepi Strafforello of ExpertSystem

Posted by Steven Aberle on May 24, 2019 at 4:23 PM

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 has a wealth of knowledge as it relates to utilizing AI against language, NLP and natural language understanding.

To start out here, a general statement based off our experience with commercial and open source NLP, If we put Cogito, ExpertSystem's NLU product, up against some of the other major providers there's a very... clear winner... I asked him, without having to divulge any trade secrets, what is their secret sauce? It's interesting, Pepi gives the analogy of performing NLU on a quantum physics textbook, how much information would that impart to say a toddler vs a psychologists vs the professor who wrote the book... and how important human context is to that overall question...

Read More

Topics: AI, TextAI, natural language processing, natural language understanding, cogito

Everyone Should Be Able to Create Smart Data.

You can do amazing things with data now. This is where everyone involved in bringing NNCompass to life talks about how your business can start using things like machine learning to create "Smart Data".

If any of this sound familiar to you, you're in the right spot...

  • I really want to take advantage of things like machine learning, and see what it can do for my business, but I don’t know where to start

  • I have a data problem. Too much, too different, coming in too quickly. I don’t have 4M USD to hire teams of people to overcome my data problems.

  • I wish I could ingest and get a handle on all of my data, not just beautifully structured CSV and XLS files, but all my emails, MS Word docs, Adobe PDFs.

  • I don’t have the resources or time to first hire data engineers, then data scientists just so I can start using machine learning algorithms to answer some of my most difficult business problem sets.

Subscribe Here!

Recent Posts