Failure
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Blog
Heavy-Duty Ram Trucks Recalled Due to Risk of ABS Failure
The issue is with the hydraulic control unit (HCU), which has been found to be susceptible to malfunction, resulting in a reduction or other change in performance for these key safety systems. A failing HCU may be indicated by intermittent ABS and traction problems, leading up to a permanent failure. A warning light will illuminate in the instrument cluster when…
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Casio reports IT systems failure after weekend network breach
Japanese tech giant Casio has suffered a cyberattack after an unauthorized actor accessed its networks on October 5, causing system disruption that impacted some of its services. The disclosure comes from Casio Computer, the parent company of the Casio brand, widely known for its watches, calculators, musical instruments, cameras, and other electronics. “Casio Computer Co., Ltd. confirmed on October 5 of…
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How to Improve Your Digital Transformation Project Failure Rate
Research has shown digital transformation projects in the APAC region fail at a high rate — and have mixed success at best. For example, Gartner research recently released in Australia found that the success rate for CIOs running digital projects was about 48%, which analyst vice president analyst Daniel Sanchez-Reina said “was like a coin flip.” He termed the problem…
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Why are so many AI projects destined for failure? Inexperienced staff, poor planning, and a shoehorned approach to agile development are all stifling innovation
AI projects fail because of technical challenges, people misunderstanding what’s possible, and agile development, according to research from the RAND institute. Research cited by RAND suggests as many as 80% of AI projects fail — that’s twice the rate of other technology projects and a serious problem for the industry given the costs involved with AI. RAND notes that the…
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Generative AI Projects Risking Failure Without Business Executive Understanding
Chris Hillman, international data science director at data management firm Teradata, has recently seen more attention directed towards the cost of data science and AI teams, as businesses seek to demonstrate value from their investments in emerging technology. However, he believes that data scientists are capable of building AI models on a technical level, and it is often business stakeholders…
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