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8 data strategy mistakes to avoid

CIO Business Intelligence

“Organizations often get services and applications up and running without having put stewardship in place,” says Marc Johnson, CISO and senior advisor at Impact Advisors, a healthcare management consulting firm. Overlooking these data resources is a big mistake. What are the goals for leveraging unstructured data?”

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Leading Trends of Fintech Development Services in 2022

Smart Data Collective

They are using big data technology to offer even bigger benefits to their fintech customers. The use of artificial intelligence technologies allows for improving the quality of service and minimizing costs. Benefits of Decentralized Finance: Transparency. Cost optimization. Unstructured data.

Finance 116
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Future-Proofing Your Business with Hyperautomation

CIO Business Intelligence

These tools bring benefits beyond automation. Typically these would include: • Process discovery: comprises process mining to identify bottlenecks and inefficiencies and task mining to identify user interactions in process, enabling those processes for which automation will deliver maximum benefits to be given priority.

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How Axel Johnson International’s IT division handles constant acquisition

CIO Business Intelligence

We see ourselves as an internal consulting organization and service provider, and we also act as a sounding board for our companies,” says Steen. All they have to do is map their data and upload it, and then new data is refueled overnight so they can get new analytics out.”

IT 78
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The year’s top 10 enterprise AI trends — so far

CIO Business Intelligence

It doesn’t matter how accurate an AI model is, or how much benefit it’ll bring to a company if the intended users refuse to have anything to do with it. Researchers, vendors, consultants, and regulators are working on coming up with guardrails and ethical principles that will govern how AI is trained and deployed.

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CIOs confront generative AI’s workplace X factor

CIO Business Intelligence

At Fidelity, early returns are proving fruitful for cost savings and increased efficiencies, said Vipin Mayar, the finserv’s head of AI innovation, at the Chief AI Officer Summit in Boston in December. More benefit may come from a process or technology improvement instead of broad application of AI to ‘fix’ problems,” he says.

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KGF 2023: Bikes To The Moon, Datastrophies, Abstract Art And A Knowledge Graph Forum To Embrace Them All

Ontotext

Sumit started his talk by laying out the problems in today’s data landscapes. One of the major challenges, he pointed out, was costly and inefficient data integration projects. Lance introduced himself as an ”engineer who avoided databases at all cost before discovering SPARQL”.