Looking at Emerging Technologies

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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Is AI Taking Over?

Artificial intelligence (AI) is more than one thing. It is futuristic, helpful, life-changing and overused – all at the same time. This interesting information came to us from Quora in their post, “What is the relation between Semantic Web and AI?“ There is AI in information science, there is AI in smart self-driving cars and…

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The Future of Data

Research of over 500 data leaders about their enterprise data initiatives for 2023 revealed over 90% are planning for data initiatives come the new year. More than half said they still face challenges as they strive to realize business value from their company data. This interesting news came to us from Business Wire in their…

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Machine Learning Possibilities

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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Data and Business

As many data preparation and management tasks get automated, insight generation and action are the next likely targets for automation. Tech Target brought this topic to us in their article, “Automation, more security and governance next big BI trends.” Business intelligence (BI) is about taking proactive decisions to pull together data to ask questions about…

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Emerging Tech and the Environment

With artificial intelligence’s (AI) undeniable rise in use and popularity, it will be applied to a myriad industries and will be leveraged for a variety of causes – one being environmental sustainability. As the field of AI continues to prosper, companies with massive ecological impressions can leverage the field’s power to make impactful changes to the…

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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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