Happy Independence Day! On the 4th of July, as we our celebrating our freedom as a Nation, I take a few moments to reflect on the struggles that ensued as our Founding Fathers fought to break away from the tyranny.
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...
Fairfax, Va.— March 2019 — NNData Corporation announced today that it has joined the Perspecta (NYSE: PRSP) team to support the United States Army Cyber Command (ARCYBER) Cyberspace Operations Support task order.
NNData is proud to announce our Advanced/Premier Technology Partner Status with Amazon Web Services (AWS). Achieving APN Advanced/Premier Status is a recognition of the hard work our team pours into the development of NNCompass, and confidence by AWS in our approach to data management for the cloud era. Our ability to orchestrate AWS AI & Machine Learning against data either in the cloud, in hybrid environments or against secured workloads in GovCloud and C2S is a completely new take on data management, combining ETL, data ingest, data preparation, data integration and data streaming components to handle the most difficult enterprise data workflows. Customers can now apply AI/ML against "onprem" or cloud data stores to get answers to their most difficult use cases and problem sets. We look forward to continued work with the AWS teams, and together reaching our goal of bringing machine learning to the masses.
NNData is excited to continue to participate in the Hiring Our Heroes Corporate Fellowship Program (CFP). CFP is an innovative program that provides transitioning service members with professional training and hands-on experience in the civilian workforce. The professional development offered through the program prepares candidates for a smooth transition into meaningful civilian careers.
Carla Miller, Program Manager, Corporate Fellowship Program for Hiring our Heroes, presents a coin to Joe Parker after his presentation to a group of members of our military who are beginning their transition from military life to civilian life. Joe relayed his own experiences transitioning from the Marine Corps, to government employee and now as a member of the private sector.
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).
Utilizing AWS GovCloud and EC2 for Large Scale Data Integration:
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.
Ntoh Etta, CEO of horizon global partners, is in the chair this week. I've wanted to sit down and record a podcast with Ntoh for a long time now... Every now and then he says something that sounds profound, ... it makes me listen more intently.
Ntoh is at the forefront of the AI and machine learning groundswell, helping enterprises harness those advancements and apply it against use cases. But I realized I didn't know very much about Ntoh's history, how he arrived at horizon global... he's got an interesting story.
Horizon Global partners is all about accelerating growth, I ask him what that means, and is there a methodology to growth acceleration, and I ask him how market fit plays into that.
Ntoh spends a lot of time shepherding larger enterprises through their efforts to become AI driven. He talk here about what that truly means, and separating the hyperbole of buzz words from actual ROI.
When it comes to kicking off AI initiatives, what typically needs to happen first? Do you hire a bunch of data scientists or applied AI engineers, take them off other projects?
I always have to ask my favorite question about how close we are to the AI-induced robot apocalypse, which Ntoh answers in a very learned way, but I also as him his perspective on the great AI race happening now between the US and China.
This Veterans Day I wanted to specifically look at some technology and innovation that happened during WW I and draw several parallels since it's been 100 years since the signing of the treaty that ended that war.
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, how the world of ETL is changing… we also get into leadership philosophy, when it's ok to be wrong, and second chances. Buckle up. This is a good one!
Oscar walks me through his thought process on ideating NNCompass, where he saw the gaps, and who specifically we’re trying to enable
We've talked before about this assumption that there’s a “hidden data workforce”, a group of people in any given organization, whether they’re business analysts, marketing professionals, low-level all the way to c-suite… technology for this group of people is quickly being democratized… so we talk here about the hidden data workforce, and what they need to validate their mental models.
I ask Oscar, is the end goal to democratize AI and those insights across an organization…? “Machine Learning for the Masses”? Or maybe automating some of the difficult data management workflow tasks associated with assembling data for AI and ML?
We dive deeper into what it takes to assemble data for AI and ML, who’s job is that, what needs to happen, how do we use software to make it a team effort? Project controllers, business analysts, data scientists, do all these people need to work together?
There’s been some complacency in the world of data management and ETL in the last few years, everything really being tied to a database offering - - almost always very expensive… I ask him how NNData is trying to disrupt that model by looking at the “data” landscape from a different angle?
Cool episode this week where Jerry Gay, NNData CTO, and I talk about 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.
Traditional, unsupervised natural language processing has been a discipline for the last 15 years, we talk about what it can do for you, and how much has it improved….
Jerry and I built a system together a few years ago called Big Data Ecosystem while we worked together at a company called Data Tactics... we included a version of Gate's Annie and Stanford NLP into the ecosystem, with mixed results, which we discuss here…
NNCompass takes a different approach to unstructured data management, inserting the human into the enrichment and extraction process, I talk to him about why we did that, and why it’s unique…
Today was a good day to have this conversation about unstructured data, since both Jerry and I had met with a company called ExpertSystem USA for most of the morning, having a deep technical dive into the textual AI software they engineered called Cogito….
With the release of Google’s Auto ML and Amazon Rekognition, I ask Jerry if we’re approaching a sea change in the way businesses view unstructured data, or if these tools are really focused on image AI problem sets…