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Analytics, Machine Learning, and the Internet of Things

This Articles originally appeared in ITProfessional Magazine, Jan/Feb 2015.

Our increasingly connected world, combined with low-cost sensors and distributed intelligence, will have a trans-formative impact on industry, producing more data than humans will be able to process. Will businesses be able to adapt and evolve quickly enough to maintain their place in the competitive landscape? How will humans make sense of and benefit from these new sources of information and intelligence embedded in our environment?

Seth Earley
Seth Earley
Seth Earley is the Founder & CEO of Earley Information Science and the author of the award winning book The AI-Powered Enterprise: Harness the Power of Ontologies to Make Your Business Smarter, Faster, and More Profitable. An expert with 20+ years experience in Knowledge Strategy, Data and Information Architecture, Search-based Applications and Information Findability solutions. He has worked with a diverse roster of Fortune 1000 companies helping them to achieve higher levels of operating performance.

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Recently I chaired the Artificial Intelligence Accelerator Institute Conference in San Jose – in the heart of Silicon Valley.  The event has brought together industry innovators from both large and small organizations, providing a wide range of perspectives. For example, the CEO of AI and ML testing startup of Kolena, Mohamed Elgendy and Srujana Kaddevarmuth, Senior Director, Data & ML Engineering, Customer Products, Walmart Global Tech discussed productization of AI solutions and ways to increase adoption. I especially liked the idea of a model catalogue from which data scientists can retrieve data sets and machine learning models that others have built rather than starting from scratch.