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CIO
MARCH 13, 2025
Dun and Bradstreet has been using AI and ML for years, and that includes gen AI, says Michael Manos, the companys CTO. In a November report by HR consultancy Randstad, based on a survey of 12,000 people and 3 million job profiles, demand for AI skills has increased five-fold between 2023 and 2024. Other surveys found a similar gap.
CIO
DECEMBER 30, 2024
Plus, they can be more easily trained on a companys own data, so Upwork is starting to embrace this shift, training its own small language models on more than 20 years of interactions and behaviors on its platform. Take for example that task of keeping up with regulations. Multi-agent systems Sure, AI agents are interesting.
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CIO
MAY 2, 2024
“You can have the best solution but if you don’t have adoption, it will fail,” says Wayne Tung, managing director of Sendero Consulting. There’s always change,” says Jim Moore, CTO at HR Acuity. “A Too many times we see clients put a new system in place and train users a day before it goes live,” says Sendero’s Tung.
CIO
FEBRUARY 19, 2025
Baker says productivity is one of the main areas of gen AI deployment for the company, which is now available through Office 365, and allows employees to do such tasks as summarize emails, or help with PowerPoint and Excel documents. Registered investment advisors, for example, have to jump over a few hurdles when deploying new technologies.
CIO
SEPTEMBER 19, 2024
Companies that fail to build their own AI agents will turn to outside AI consulting firms to build custom agents for them, or they will use agents embedded in software from their current vendors, write Forrester analysts Jayesh Chaurasia and Sudha Maheshwari. Kumar adds. “We Kumar adds.
CIO
SEPTEMBER 17, 2024
The use of data, analytics, AI, and machine learning has raised ethical questions regarding privacy and the development of appropriate regulations and governance frameworks to ensure AI is safe, transparent, and accountable,” says Ram Chakravarti, CTO of BMC.
TechCrunch
SEPTEMBER 28, 2022
“Many enterprises today attempting to experiment with graph neural networks have been unable to scale beyond training data sets that fit in a single accelerator (memory in a single GPU), dramatically limiting their ability to take advantage of these emerging algorithmic approaches,” he told TechCrunch in an email interview.
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