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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 363
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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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Lufthansa’s digital future takes flight with ‘Digital Hangar’

CIO

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

Airlines 325
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J&J enlists AI to streamline joint replacement surgery

CIO

Managing inventory, both pre-operative and post-operative, is time consuming because the inventory replenishment process is reactive,” says Jim Swanson, CIO at US pharmaceutical and medical technologies company Johnson & Johnson. As an example, Swanson points to total knee arthroplasty (TKA) and total hip arthroplasty (THA) procedures.

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Unlocking Innovation: AWS and Anthropic push the boundaries of generative AI together

AWS Machine Learning - AI

Amazon Bedrock is the best place to build and scale generative AI applications with large language models (LLM) and other foundation models (FMs). It enables customers to leverage a variety of high-performing FMs, such as the Claude family of models by Anthropic, to build custom generative AI applications.

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AI adoption accelerates as enterprise PoCs show productivity gains

CIO

Some prospective projects require custom development using large language models (LLMs), but others simply require flipping a switch to turn on new AI capabilities in enterprise software. “AI We need to continue to be mindful of business outcomes and apply use cases that make sense.”

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Biotech Boom: Executive Search Strategies in Life Sciences

N2Growth Blog

Additionally, the industry’s highly regulated nature means that executives must have a keen eye for compliance and a strong ability to navigate the ever-changing market dynamics. In addition to industry expertise, biotech executive search firms must demonstrate their ability to adapt to the evolving demands of the market.

Biotech 176