African Union ambassador Lavina Ramkissoon warns AI is rapidly advancing toward superintelligence, forcing urgent decisions.
The AI accountability era has begun − a defined outcome and value framework must be in place before the first model is deployed.
AI accelerates the testing of expanded, customised systems, especially in industries like banking, says Stephen Platten, principal consultant at Inspired Testing.
The company believes AI models could be developed to enhance the value, use and interpretation of its datasets.
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AI pilots are not designed as production-ready business products; they’re initiated without clear ownership, defined ROI or a structured path to scale, says JustSolve.
Automated code generation without strong engineering oversight can introduce risks that scale rapidly in complex systems, says Lorraine Steyn, CEO and founder of KRS.
If a company only sees its financial data days or weeks later, it cannot react quickly to problems or opportunities, says Netesh Maharajh, director of ALNET Technologies.
AI is institutional scaffolding, not a shortcut, and juniors should explore all the ways it can be utilised, says Webber Wentzel.
The insurer sets its sights on embedding AI and intelligent automation as a compounding structural advantage for the group.
The company has been recognised as a leader in the Cloud Performance Testing category in the latest Radar report from analyst firm GigaOm.
Government CIOs are under growing pressure to rapidly and responsibly embed AI into decision-making capabilities, says Gartner.
AIDA Orchestration is the first fully autonomous agent for human risk management, says KnowBe4.