Artificial intelligence is a defining technology that is predicted to significantly change our lives. Businesses are using it to identify suspicious online activity and get a better understanding of their customers.
As we move from the age of information into the age of AI, people are curious to see what’s in store in the future. This whitepaper addresses that by defining AI and exploring the profound impact it can have on our lives.
Here's what you'll learn:
- An explanation of how AI works
- A look at the benefits of AI for business
- An overview of risks associated with AI
- Examples of AI in use today
Download now
Provided by ITPro
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Box reveals new AI capabilities at BoxWorks 2025News Extract and Automate will help businesses make better use of their data, the cloud company claims
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Large enterprises could be wavering on AI adoptionNews AI adoption rates have dipped, but it's probably nothing to worry about for IT leaders
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Businesses are being taken for fools with AI agentsOpinion AI agents are still not very good at their 'jobs', or at least pretty terrible at producing returns on investment – yet businesses are still buying into the hype.
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Google boasts that a single Gemini prompt uses roughly the same energy as a basic search – but that’s not painting the full pictureNews Google might claim that a single Gemini AI prompt consumes the same amount of energy as a basic search, but it's failing to paint the full picture on AI's environmental impact.
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Mistral AI wants businesses to make new memories with Le ChatNews The company hopes new functionality and Connection Partners will broaden business appeal
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Salesforce CEO Marc Benioff says the company has cut 4,000 customer support staff for AI agents so farNews The jury may still be out on whether generative AI is going to cause widespread job losses, but the impact of the technology is already being felt at Salesforce.
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This Stanford study shows AI is starting to take jobs – and those identified as highest risk are eerily similar to a recent Microsoft studyNews AI may already be impacting early-career jobs, particularly roles featuring tasks that can be automated like software developers or customer service, according to Stanford researchers.
