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 department outlines its digital transformation deliverables, with plans to select appropriate tech to support its strategy.
The company believes AI models could be developed to enhance the value, use and interpretation of its datasets.
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.
The company has been recognised as a leader in the Cloud Performance Testing category in the latest Radar report from analyst firm GigaOm.
Companies should pause, assess and explore viable alternatives before committing to one-size-fits-all workforce management solutions, says Dereck Sigamoney, MD of LabourGenie.Net.
Companies invest hundreds of thousands of rands in AI pilots that show impressive results, only to stall at scale.
Acumatica outlined its vision for the future of cloud ERP, in which practical, AI-first innovation produces real-world results for customers.
Shrewd companies will this year identify and address the blind spots that slow progress, before adding more technology.
AgriLogiq and NEC XON have formed a strategic partnership to deliver end-to-end solutions for modern, protected, data-driven farming.
The companies aim to empower design and construction teams with efficient, connected and streamlined project workflows.