CIO
MAY 20, 2024
Although intelligence operatives, a type of knowledge worker, had many clues suggesting imminent attacks, they did not integrate this information quickly enough to accurately foresee the tragic outcomes. With the dawn of generative AI, management gurus continue pitching concepts of turnkey “learning organizations,” and “knowledge management.”
CIO
OCTOBER 26, 2023
As a result, knowledge workers can create content, low- and no-code solutions are more accessible, and team members from every layer of the organization have broader options for getting work done. IT organizations have responded in kind, with 52% already building or deploying GenAI solutions according to Dell research 1.
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CIO
JULY 3, 2023
For the last 30 years, the dream of being able to collect, manage and make use of the collected knowledge assets of an organization has never been truly realized. Data exists in ever larger silos, but real knowledge still resides in employees. Data exists in ever larger silos, but real knowledge still resides in employees.
CIO
JULY 31, 2023
Research from MIT has shown that integrating a knowledge base into a LLM tends to improve the output and reduce hallucinations. This means that AI and ML advancements, far from superseding the need for knowledge management, actually make it more essential. AI models are trained on the information they’re given.
CIO
MARCH 13, 2024
According to a research report IDC released in November, based on a survey of over 2,100 business leaders and decision makers with responsibility for AI transformation, 71% of companies already using AI are seeing returns on their AI investments within 14 months, averaging $3.50 for every $1 spent.
CIO
FEBRUARY 12, 2024
They also need general business acumen, industry knowledge, and accounting talent. IT leaders have gotten the message: To successfully perform their jobs, they need more than technical skills. Some expertise in marketing, operations, cybersecurity, and other functional areas is important, too.
CIO
APRIL 1, 2024
Recent research found that application modernization took an average of 16 months. New tech moves from bleeding edge to mainstream at an ever-increasing pace. Consider how fast generative AI went from avant-garde to ubiquity: At under two years, it may be a record. In contrast, only 27% of those categorized as DX laggards say as much.
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