Digital and Healthcare

Organizations everywhere are embracing the digital transformation that is making its way around the world. It is no different for healthcare. Their systems have become increasingly digitized since the late 1960s, but in the last decade progress has accelerated, expanded in scope and been given a huge boost by the pandemic. The World Economic Forum…

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Navigating the Digital Age

We are in the digital age and this has taught businesses to see people as individuals rather than just as members of certain demographic groups. This has resulted in a massive digital footprint that enables companies to know precisely how effective their advertising campaigns are at the individual level and to derive immense value from…

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Modernizing Data Management

Data dwells everywhere these days. Data modernization enables informed decision making by pulling data out of systems more reliably. It helps you identify high-value data combinations and integrations. It also helps people rapidly identify opportunities in the moment — so they can take advantage of something that might otherwise have been missed. Acceleration Economy brought this…

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Digging Deep in the Data

Deep learning neural networks mimic the decision-making processes of the human brain by making a series of calculations to reach a conclusion. Machines can process massive amounts of data that humans can’t, but sound governance structures are needed to ensure positive results. Financial Sense brought this interesting information to us in their article, “Deep Learning…

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The Future of Quantum Computing

Quantum computing has rapidly advanced in both theory and practice in recent years, and with it the hope for the potential impact in real applications. One key area of interest is how quantum computers might affect machine learning. CIO Insights brought this interesting information to us in their article, “What is Quantum Machine Learning? Beginner’s Guide…

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New Year – New Data

Big data is everywhere. What really delivers value from big data is the analytics applied to the data. Without analytics, which involves examining the data to discover patterns, correlations, insights, and trends, the data is just a bunch of ones and zeros with limited business use. To answer the age old question, “what’s in it…

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Standards and Taxonomies

We like consistency and standards. Maybe that is why we are in the business of taxonomies. But there is no arguing that standards and structure are important. Without them and the existence of language conventions, comprehension would be significantly impacted. Artificial Lawyer brought this interesting topic to us in their article, “Why It Is Time…

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Learning Technology

Meta-training, which is also called model agnostic machine learning (MAML), is the idea of teaching the model to create a solver to the problem in lieu of teaching the model to learn to solve a problem. MarkTechPost brought this interesting topic to our attention in their article, “New AI Research From Deepmind Explains How Few-Shot…

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