Gartner & WIA Conferences Exit Poll

2 Minute Read
By Garrett Long

As we continue into our “Year of Model Operations”, I thought it would be useful to highlight some of the key things I observed, learned and shared over the last few weeks at both the Gartner Data and Analytics Summit March 18-21, 2019 in Orlando, as well as the Women In Analytics conference in Columbus.  Each conference provided a lot of value, both in the content provided by the speakers and the opportunities to connect with others in the space.

Let’s start with Gartner – as one of the largest, and most well established conferences in the Analytics space, it certainly provides ample opportunity to learn. At Gartner DA we had the opportunity to have one of our customers speak about their analytics journey, Exos Financial. Exos’ Chief Data Officers Boris Mizhen gave a great talk about their vision to be an analytics first broker-dealer trading company, and gave great insights to their architectural choices to support that vision.  (You can register here to get a copy of Boris’ slides when they are released publicly). Of course, Boris covered many topics, including highlighting the value of Model Operations to their journey.  This chart is one of my favorites, sharing his view of where the Model Operations sits in the value chain to insights.

Screen Shot 2019-04-30 at 11.24.06 AM

The real breakthrough for Model Operations though came from the amount of coverage Gartner analysts gave the topic.  Let’s start with a talk given by Peter Krensky titled “The Foundation of Data Science and Machine Learning:  Achieving Advanced Insights and AI for Analytics”. It was amazing to find that Peter made a declaration on slide 21 of his talk, that the “Word of the Year is Operationalization”!

Screen Shot 2019-04-30 at 11.23.47 AM

Gartner Event Presentation, The Foundation of Data Science and Machine Learning: Achieving Advanced Insights and AI for Analytics, Gartner Data & Analytics Summit, Orlando, March 18-21, 2019.

Later in the conference, Erick Brethenoux presented “Operationalizing Your Data Science and Machine Learning Initiatives.”  In this talk, Erick went into next level detail about all phases of a model’s life, from creation through deployment, monitoring, retraining and retirement. Erick provided so much insight to the space, and outlined the main barrier towards delivering business value. We feel this echoes so much of what we here at ODG have been working on for the last 3 years.

Screen Shot 2019-04-30 at 11.23.25 AM

Gartner Event Presentation, Operationalizing Your Data Science and Machine Learning Initiatives, Gartner Data & Analytics Summit, Orlando, March 18-21, 2019.

I’d also like to recommend the Women In Analytics conference to anyone that has a chance to attend next year. We participated as a vendor in the AI Showcase, as well as attended the conference sessions.  Each speaker had great perspective on this year’s theme of “Ethics in AI” – from Ursula Cotton from Huntington Bank to Jennifer Prendki  from Figure Eight, each speaker shared thoughtful insights to the opportunities and challenges we all face as an industry to bring AI to bear on more and more use cases.  Brooke Telander and I made some great connections with the attendees and speakers, sharing our views on Model Operations.  Many of our discussions resonated with the attendees, as they look to help their companies scale machine learning and AI in their business. I look forward to participating next year, as this conference continues to grow in importance and attendance.

All in all, it was a great few weeks – having both analysts and industry speakers cover our space is humbling, and of course beneficial.  The Year of Model Operations is here, and rolling strong.

All ModelOp Blog Posts 

24 Basic Bullets  For Brewing Better Beer

24 Basic Bullets For Brewing Better Beer

4 Minute Read By Greg Lorence This time, I figured I’d rewind a bit from the last couple of posts, wherein I drove lots of beer a very long way for a very important work party, and change the focus a bit. Now, this is certainly not directly related to the work we do...

ModelOp Golden Ale Takes a Holiday – Part 2

ModelOp Golden Ale Takes a Holiday – Part 2

2 Minute Read By Greg Lorence Before we go much further, I feel obligated to state what is likely already obvious: I’m not all about that #InstaLife. All accompanying photography was snapped with little regard for composition, typically while stretching out from 4-6...

Q&A with Ben Mackenzie, AI Architect

Q&A with Ben Mackenzie, AI Architect

2 Minute Read By Ben Mackenzie & Linda Maggi How AI Architects are the Key to Operationalize and Scale Your AI Initiatives Each week we meet more and more clients who are realizing the importance of operationalizing the AI model lifecycle and who are dismissing...

Behind the scene of ModelOp by our Brewmasters- Part1

Behind the scene of ModelOp by our Brewmasters- Part1

2 Minute Read By Greg Lorence As a long-time homebrewer, when our President, Scott asked me, “wouldn’t it be cool if you and Jim brewed a beer to commemorate our rebrand later this year?” my reaction, after the immediate “heck yeah! Beer is awesome”, was honestly...

Open Data Group Officially Becomes ModelOp

Open Data Group Officially Becomes ModelOp

2 Minute Read By ModelOp Today, Open Data Group rebrands as ModelOp. Read more on Globe Newswire It is an exciting day for us, if only because people will stop asking “Why are you called Open Data Group?” after they understand what we do. More importantly the name...

Machine Learning Model Interpretation

To either a model-driven company or a company catching up with the rapid adoption of AI in the industry, machine learning model interpretation has become a key factor that helps to make decisions towards promoting models into business. This is not an easy task --...