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What is predictive analytics? Transforming data into future insights

CIO

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. from 2022 to 2028.

Analytics 342
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How AI is transforming business today

CIO

Hannah Calhoon, vice president of AI for Indeed, uses artificial intelligence β€œto make existing tasks faster, easier, higher quality and more effective.” Like many organizations, Indeed has been using AI β€” and more specifically, conventional machine learning models β€” for more than a decade to bring improvements to a host of processes.

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US port strike has CIOs prepping for supply chain implications

CIO

And while analysts expect a somewhat swift resolution to the work stoppage, β€œCIOs need to stay tuned into what’s happening around the globe and be thoughtful how it might affect their ability to operate,” said Bob McCowan, CIO at Regeneron Pharmaceuticals. Unfortunately, that’s a preemptive measure that must already be in place.”

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10 Key Trends of Digital Transformation in Healthcare in 2022

OTS Solutions

At the heart of this shift are AI (Artificial Intelligence), ML (Machine Learning), IoT, and other cloud-based technologies. Modern technical advancements in healthcare have made it possible to quickly handle critical medical data, medical records, pharmaceutical orders, and other data. On-Demand Computing.

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A CIO’s first rule for automation: Have a clear business case

CIO

One of the biggest things I’ve learned is you can’t do automation to the business; you have to do it with the business.” Plus, Adani Electricity this year is continuing with advancements in the areas of distribution management, customer experience, the metering ecosystem, and consumer data analytics, says Tandon. million consumers.

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The rise of the data lakehouse: A new era of data value

CIO

The giant pharmaceutical chain had put its lakehouse in place to address just such challenges in its quest, to, as Guadagno puts it, β€œTo get the right product in the right place for the right patient.”. Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data.

Data 350
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Lufthansa’s digital future takes flight with β€˜Digital Hangar’

CIO

Each Hangar houses agile coaches, business analysts, data and analytics specialists, product owners, Scrum masters, software engineers, and user interface designers β€” all with one mission: to elevate the airlines’ digital customer experience before, during, and after the flight.

Airlines 282