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...
Gartner & WIA Conferences Exit Poll
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.
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”!
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.
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.