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.
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.
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?
Author John Waters talks about how NNData and NNCompass can bridge the gap between a shortage of data scientists and organizations that are looking to accelerate their journey towards being an AI-driven enterprise.
Last week the company found out that it had been nominated and selected for the 2018 Moxie Awards. "Simplicity drives Productivity" was the message being discussed around the table this past week at NNData Headquarters as the Washington, DC committee interviewed the leadership about our NNCompass software.
Every now and then I have a chance to talk to someone about NNCompass. Nine times out of 10 it goes exceedingly well! That tenth time though, well, let’s just say I need to work on either my mastery of the vernacular, or… I need to do a better job of conveying its features up front. Usually at the end of the meeting, where I’ve just poured my heart and soul into describing NNCompass, which I’ll admit can be frantic and all over the map sometimes, they’ll hit me with this question… “so what exactly does NNCompass do”? At which point, I realize, I have gone way too far into the weeds… So, here’s my attempt at a mea culpa blog post, where I try and abstract a quick description of what NNCompass is, and what its core features are.