Artificial intelligence
How to Align AI, Data and Security Without Slowing the Business Down
AI tools help employees write, analyze, search, summarize and prepare materials faster. At the same time, they create new risks.
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Artificial intelligence
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Artificial intelligence
Internal AI Policy: How to Give People Freedom Without Losing Control
An internal AI policy is not meant to limit people. Its real purpose is to give employees clarity: what they may do, what they must not do, when they need to check the result and whom they should contact when unsure. Without that clarity, the company gets two bad extremes.
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Artificial intelligence
Secure Use of AI Tools in Business: What Management Must Put in Order
Secure use of AI tools in business becomes important as soon as employees start using AI for documents, emails, analyses, proposals, client data or internal decisions. At that point, AI is no longer only a productivity helper. It becomes part of the company’s information flow.
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Artificial intelligence
AI Governance in a Company: Rules, Responsibilities and Risk Control
AI governance becomes important when employees stop using AI only out of curiosity and start using it in daily work. At that point, the company must answer practical questions: which data may be used, who checks AI output, who is responsible for a wrong answer, and how the company knows whether AI…
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Artificial intelligence
AI and Automation in Insurance: Faster Claims, Better Data and Less Manual Work
Insurance is an area where a large number of documents, requests, policies, claims, assessments, supplements and customer communications are processed every day. That makes it a natural candidate for AI and automation. But introducing a chatbot or a document reading tool is not enough.
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Artificial intelligence
AI in Energy and Maintenance: Turning Field Knowledge into a Business System
In energy, technical maintenance and service organizations, the greatest value is often not only in documentation, equipment or software. A large part of the value is in the experience of people who solve problems in the field every day.
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