ModelOps in the News – April 2021

April 21, 2021

Forbes

“Your Company’s AI Initiative Needs To Be A Model Implementation”

Wayne Rash, April 15 2021

Artificial intelligence is all the rage in corporate IT these days. Organizations are using AI to make their operations more efficient, their data more useful and their predictions more accurate. But there’s more than just throwing some AI software at the problem. You need to give the AI something to work with. In other words, your AI software needs some sort of a goal and a set of procedures so that it knows the desired outcome. This set of goals and related procedures is considered a model. This is what the software looks at when it uses the data it has, and the information it derives to try to make operations closely match the ideal.

AiThority

“First Annual ‘State of ModelOps’ Report Finds 80 Percent of Surveyed Executives View Managing Risk and Compliance as Key Barriers to Unlocking Value from AI”

April 19 2021

AI News

“State of ModelOps: 90% expect a dedicated budget within 12 months, 80% say risk-management is a key AI barrier”

Ryan Daws, April 16 2021

The first annual State of ModelOps report highlights some interesting trends about the real-world adoption of AI in enterprises.

Independent research firm Corinium Intelligence conducted the study on behalf of ModelOp and aims to summarise the state of model operationalisation today.

Stu Bailey, Co-Founder and Chief Enterprise AI Architect at ModelOp, said:
“As the report shows, enterprises increasingly view ModelOps as the key to ensuring operational excellence and maximising value from their AI initiatives, in the same way that DevOps, ITOps, and SecOps have for the development, IT, and cybersecurity sectors.”

Business of Data

“State of ModelOps 2021”

April 14 2021

How 100 AI-Focused Executives from Top Global Financial Services Companies are Developing Practices to Ensure Excellence as They Govern and Scale AI Initiatives

ModelOps is a must-have capability for enterprises seeking to operationalize AI, and this has become apparent in 2021. Enterprises are investing in their ModelOps functions and developing processes for governing, monitoring and managing AI models at scale.

This report summarizes the first ever research into the state of model operationalization. Our survey of 100 executives from top global financial services companies provides a unique snapshot of the practices large enterprises are using to govern and scale mission-critical AI initiatives.

Key Syndications

Yahoo! Finance

Bloomberg

TMCnet

You might also enjoy

Don’t Frustrate Your Data Scientists (If You Want Them to Stay)

Data scientists are producing models that are making substantial contributions to the business, and thus more and more models are being used in production applications. But as a result, data scientists face several challenges.

Off Grid CTO: Starlink in Action

Exciting news up here at the off grid cabin location, we now have actual real high speed internet! With Starlink service we have a true high speed connection, and it even uses less power than the Viasat installation did.

Investing In AI Doesn’t Need To Be A Leap Of Faith: How To Track Your AI ROI

Many enterprise leaders have taken a “Field of Dreams” approach to AI ROI — “If we build it, profits will come.” While it’s one thing to take that approach for smaller pilot projects, it’s another thing when you’re consistently being asked to fund initiatives with seven-figure price tags.

Get the Latest News in Your Inbox

Any reference made to “ModelOps” is about model operations platforms, not the company ModelOp. Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s Research & Advisory organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.