Measuring organizations’ AI maturity, Microsoft’s “Responsible AI Standard,” a researcher’s vision for the future of the field, and Arthur’s new ML Research Fellows.
Deep Dive
Why Only 12% of Companies Have Achieved ‘AI Maturity’
A recent report from Accenture, called “The Art of AI Maturity,” divided up organizations into four categories based on their AI efforts and capabilities:
AI Experimenters (63%): Companies that lack mature AI strategies and the capabilities to operationalize.
AI Innovators (13%): Companies that have mature AI strategies but struggle to operationalize.
AI Builders (12%): Companies that have mature foundational capabilities that exceed their AI strategies.
AI Achievers (12%): Companies that have differentiated AI strategies and the ability to operationalize for value.
According to the report, the AI Achievers “have advanced their AI maturity enough to achieve superior performance and growth.” The AI Builders and AI Innovators are “somewhat advanced in their level of AI maturity,” while the AI Experimenters are still in the early stages.
So, what exactly is AI maturity, why does it matter, and what can we learn from the organizations that have gotten there?
Microsoft Plans to Eliminate Face Analysis Tools in Push for ‘Responsible AI’
Microsoft will stop offering automated tools that predict gender, age, and emotion and will restrict the use of its facial recognition tool. This is part of its “Responsible AI Standard,” a document that sets out requirements for AI systems to ensure they won’t have a harmful impact on society.
Artificial General Intelligence Is Not as Imminent as You Might Think
“Machines may someday be as smart as people, and perhaps smarter, but the game is far from over. There’s still an immense amount of work to do in making machines that truly can comprehend and reason about the world around them,” says this opinion piece in Scientific American.
Yann LeCun Has a Bold New Vision for the Future of AI
LeCun, chief scientist at Meta’s AI lab and one of the most influential AI researchers in the world, sketched out a fresh approach that centers around a neural network that can learn to view the world at different levels of detail.
Our VP of Machine Learning, Keegan Hines, hosted an informative financial services webinar earlier this month. If you weren’t able to attend, click the link below to find the recording as well as a downloadable guide to ML best practices.
We’re thrilled to introduce a new group of ML Research Fellows who will be joining us this summer: Kweku, Michelle, Avi, and Naveen. Learn more about their research interests and what they’ll be working on throughout the summer at Arthur.
We recently hosted our annual Hackathon where members of the engineering and machine learning teams got to team up and work together on a variety of projects. Pictured here is Ian, who won a pretty snazzy wrestling belt as part of the winning team. (We don’t mess around when it comes to prizes!)
Join Our Team
Interested in working at Arthur?We’re hiring!
Want to work with curious, hardworking, collaborative folks who are passionate aboutmaking a positive impact through AI? Open roles below!
