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AI is shaking up business as usual in the cloud, with new alternatives, increased data center commitments, and cost management taking center stage.
CIO Paul Beswick overhauled the firm’s IT strategy and organization to establish tech capabilities across four business units, including a homegrown AI copilot at ‘1% of what it would cost’ to license Microsoft’s.
While vendors say their current agentic AI-based offerings are easy to implement, analysts say that’s far from the truth.
AI tools vs. solutions: IT leaders should embrace AI tools, such as copilots and assistants, to help employees get comfortable with more complex and impactful AI solutions, researchers say.
Generative AI (genAI) applications thrive on relevant, accurate, and highly accessible data, but preparing that data can be complex, and it’s far from a ‘one-and-done’ process.
Fast changing technologies like gen AI present new complexities for stakeholder management. Some of the strategies that worked before are now recipes for disaster, leading CIOs to adopt a more holistic approach.
Use this approach to identify a consensus-based set of gen AI use cases that focus on both tactical and strategic opportunities for your implementation roadmap.
One transcription product that relies on an AI model deletes the original audio, leaving doctors no way to check the transcriptions.
Expected to be rolled out this December, Jarvis could have uses across the enterprise as various tasks such as development, CRM, and ERP.
Celonis presented a way to create process transparency across the boundaries of individual organizations at its customer conference this week.
When OpenAI debuted ChatGPT, there was fear it would disrupt higher education. Some have responded by restricting it, while others are embracing it. Here, The University of Texas at San Antonio’s Melissa Vito and Kendra Ketchum explain their ap
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