The recent New York Times investigation into the practices of MultiPlan, a little-known data analytics firm that works with major health insurers to determine reimbursements for out-of-network medical claims, highlights the dangers of perverse incentives …
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The emergence of wearable digital health technologies (DHTs) can revolutionize healthcare by providing personalized, data-driven insights into patients’ health and well-being. As these technologies progress from experimental applications to routine use in clinical care, healthcare …
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The recent development of OpenAI’s Q* algorithm (Q-Star), as described in Shelly Palmer’s article “Understanding OpenAI’s Rumored Humanity-Ending Algorithm,” presents a groundbreaking advancement in artificial intelligence (AI). While still in the realm of speculation, this …
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The effort by physicians and pharmacists to unionize to take control of their workplace indicates that company profits take precedence over clinical outcomes and the patient experience. While analytics and its metrics are essential to …
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Google’s DeepMind developed AlphaFold, the first AI-driven system that predicts the structure of proteins. Why is that important? The interaction of molecules forms the basis of biology. The protein structure, made up of chains of …
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In 1995, Nicholas Negroponte, head of the MIT Media Lab, wrote a book titled Being Digital. In it, he explained in simple detail how moving from an analog to a digital world would supercharge communications …
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Physicists believe that dark matter makes up 85% of the matter in the universe. That percentage is less than some experts estimate is the dark data in most companies. IBM believes that dark data represents …
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(Download a PDF of this document) In an era where data is often referred to as the “new oil,” the ability to harness its power effectively is crucial for organizations across various sectors. Embedded analytics …
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(Download a PDF of this document) Embedded analytics refers to the integration of analytical capabilities directly within business applications and processes. Unlike traditional analytics, which often requires separate tools or platforms, embedded analytics allows users …
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(Download a PDF of this document) In the era of data-driven decision-making, embedded analytics emerged as a powerful tool for transforming how businesses operate across various industries. This technology deploys analytical capabilities directly into business …
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