Moving Forward with AI

A handful of accelerating technology trends are poised to transform the very nature of insurance. In auto insurance, risk will shift from drivers to the artificial intelligence (AI) and software behind self-driving cars. Satellites, drones and real-time data sets will give insurers unprecedented visibility into the risk around facilities, leading to greater accuracy. The insurance industry…

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The Power Behind AI

An algorithm is a procedure used for solving a problem or performing a computation. Algorithms act as an exact list of instructions that conduct specified actions step by step in either hardware- or software-based routines. This interesting topic came to us from eWeek in their article, “AI vs. Algorithms.” Even the smallest of artificial intelligence (AI)…

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Using Taxonomies in a Digital World

In the digital world, semantic technologies and procedures automate the classification of digital content and enable the assignment of content to specific topic areas. Semantic methods find a practical application where the optimal management of a constantly growing amount of online content contributes to the strategic goals of an organization. Using taxonomies and semantic tagging of articles…

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Using Analytics to Move Forward

Data analytics can be predictive and enable many new capabilities, including the refinement of algorithms for machine learning, that drives much of artificial intelligence. It is also significantly augmenting business intelligence and decision-making across organizations. Venture Beat brought this interesting information to us in their article, “What is data analytics? Definition, models, life cycle and application best…

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Quality In – Quality Out

When it comes to machine learning algorithms, your predictions are only as good as your data. And if you aren’t using the right data, you aren’t setting your models up for success. This interesting topic came to us from KD Nuggets in their article, “The Difference Between Training and Testing Data in Machine Learning.” When…

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Getting Comfortable with Machine Learning

Researchers are striving to improve the interpretability of features so decision makers will be more comfortable using the outputs of machine learning models. They have developed a taxonomy to help developers craft features that will be easier for their target audience to understand. This interesting information came to us from Science Daily in their article,…

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Healthcare and AI

Artificial intelligence (AI) in healthcare can enhance preventive care and quality of life, produce more accurate diagnoses and treatment plans and lead to better patient outcomes overall. It can also predict and track the spread of infectious diseases by analyzing data from a government, healthcare and other sources. Fierce Healthcare brought this interesting information to our…

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Emerging Technology in Business

Marketing in the age of emerging technologies is entirely different and new. In the past, ad systems relied on basic heuristics, which can be effective for making immediate judgments, but often result in inaccurate conclusions. Machine learning platforms can optimize results and do everything from predicting conversion likelihood to determining the best price to bid for an…

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Peer Review and Trust

Trust is important in any industry. When it comes to publishing scientific and academic journals, it couldn’t be more important. The Scholarly Kitchen brought this interesting and important topic to our attention in their article, “Revisiting — Compliance: The Coming Storm.” A high level of trust is essential to ensure publication and sharing of research…

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Taxonomies and the Digital Age

A clear taxonomy keeps your content organized and allows your audience to easily find your content through either the navigation structure on your website or through onsite search. Digital taxonomists and metadata or cataloging librarians employ knowledge management and organization based on the same information sciences theories, but the applications and environments in which they…

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