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AI Across Industries
4 min
AI in Financial Markets: Beyond the Market-Predicting Magic Box

Financial markets are the one area of life where it’s reasonable to expect different results from doing the same thing over and over again, and it’s not considered a definition of madness. So, it shouldn’t be a surprise that there is no such thing as a market-predicting magic machine learning box that ingests markets data and spits out lots of…

 
January 5, 2021
by
Peter Simon
Partners
3 min
Are You an AI Leader or Laggard?

DataRobot and other AI leaders recently collaborated with ESI ThoughtLab, the thought leadership arm of Econsult Solutions, to generate a benchmark study of senior executives in 1,200 companies focused on the impact of AI on ROI. The report’s goals included defining the essential characteristics of AI leaders.  The report classified firms as beginners, implementers, advancers, and leaders, and used two…

 
December 30, 2020
by
DataRobot
Technical
2 min
DataRobot MLOps Agents: Visibility for All Your Production Models

The extraordinary benefits of AI in today's business climate are abundantly clear. But as more machine learning solutions are implemented in organizations, the need for a centralized MLOps platform becomes even more significant. However, scaling such a solution across all lines of business has its challenges, with the production gap and cost of additional resources being two of the most…

 
December 28, 2020
by
DataRobot
AI Education
6 min
DataRobot’s Year-End Holiday Reading List

As we all know, 2020 has truly been a monumental year. Over the holiday season, take a step away from endless Zoom calls and questions about home offices and sit down with a great read about AI. Here are a few last-minute gift ideas so that you or family and friends can catch up on some of the hottest topics…

 
December 23, 2020
by
DataRobot
AI Across Industries
3 min
Fiona McEvoy on Workplace Surveillance, Treatment of Humans as Production-Centric Robots: More Intelligent Tomorrow, Episode #16

More people than ever are working from home these days, and many companies want to ensure that employees are remaining productive. AI ethics writer, researcher, and thought leader Fiona McEvoy recently joined the DataRobot More Intelligent Tomorrow podcast, hosted by Ben Taylor, Chief AI Evangelist at DataRobot, to shed light on the means and metrics employers are currently implementing to…

 
December 22, 2020
by
DataRobot
AI Across Industries
5 min
2021 Predictions: The Right AI Tools Will Yield ROI

Many companies have been waiting for years to finally reap the benefits of their multi-year AI investments, and the necessity to respond to the COVID-19 pandemic has provided the impetus. It has triggered many industries to improve their data management, operationalize and update their model production process, and reassure customers that their AI can be trusted. They are using MLOps,…

 
December 21, 2020
by
Sivan Metzger
, 
Ted Kwartler
, 
Andrew Pellegrino
, 
Richard Tomlinson
AI Across Industries
6 min
AI in 2021: How Industries Will Move Past the Pandemic and Thrive

The response from COVID-19's gradual recovery will be top of mind for nearly every firm and industry in 2021. Some businesses may become stagnant or never recover. Others will view the shakeup as an unprecedented opportunity to understand and improve their data and analytical assets, operationalize and update their model production process, and reassure customers that their AI can be trusted. Everyone is looking…

 
December 18, 2020
by
Peter Simon
, 
Ari Kaplan
, 
Jarred Bultema, PhD
, 
John Sturdivant
AI Across Industries
5 min
Dr. Hannah Fry on the Value of Mind-Blowing Mathematical Insights: More Intelligent Tomorrow, Episode #15

Dr. Hannah Fry is a mathematician, author, lecturer, BBC presenter, podcaster, and public speaker. Her TED Talk, The Mathematics of Love, has garnered over 5 million views. But before she became one of the most popular faces on BBC Four, Dr. Fry experienced a  setback, which triggered a prescient insight into one of today’s most poignant tech topics—AI Ethics.  In…

 
December 17, 2020
by
DataRobot
DataRobot Release
3 min
Introducing MLOps Portable Prediction Servers

Most organizations invested in machine learning are experiencing what we at DataRobot call the AI production gap, which refers to the transition of models from the data science teams who develop them to the IT and DevOps teams who are responsible for deploying and monitoring them in production. Production AI Challenges Enterprises increasingly rely on AI and machine learning to…

 
December 16, 2020
by
Chris Cozzi
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