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How to take machine learning from exploration to implementation

O'Reilly Media - Data

Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Blockchain and decentralization".

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Insurance IT leaders herald new era for digital customer experience

CIO

For Pappas, the customer has become the “North Star” in the digital era, and other insurance CIOs concur, as improving the customer experience and operational excellence — not revenue growth — tops the list of insurance digitalization initiatives in 2023, according to a recent Gartner survey of CIOs across 81 countries.

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Software Outsourcing: Why CEOs Love It

Gorilla Logic

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. CIO.com notes that it took employers an average of 109 days to fill roles in machine learning and AI, compared to 44 days to fill jobs in general. .

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After a record year for Israeli startups, 16 investors tell us what’s next

TechCrunch

Subscribe to access all of our investor surveys, company profiles and other inside tech coverage for startups everywhere. A great amount of talent is cultivated in the military, which has spawned innovative cyber, AI and machine-learning companies. Oh, and one more thing. We just launched Extra Crunch in Israel.

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Healthcare IT in Atlanta: ?ompanies and Jobs

Altexsoft

Clinigence , complementing EHR systems with Business Intelligence add-ons to improve clinical and financial performance. Profitability is vital for any business, and healthcare is no exception. It combines machine learning, IoT, and mobile sensing to catch warning signs — like changes in heart rate or unusual movements.

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Structural Evolutions in Data

O'Reilly Media - Ideas

” Web3 has similarly progressed through “basic blockchain and cryptocurrency tokens” to “decentralized finance” to “NFTs as loyalty cards.” And then there was the other problem: for all the fanfare, Hadoop was really large-scale business intelligence (BI). Things fall off after that.

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