Computers are getting to be more intelligent, although machine intelligence involves more than a single concept. It's common to hear "AI," "cognitive computing," "machine learning" and "deep learning" used in everyday conversation. Whether you're a practitioner, IT leader, or business leader, you should understand the differences. Following are some basic explanations that explain the value of each.
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The increasing use of Artificial intelligence and related technology requires clear understanding of the technologies jargons to boost your learning, build career and do your business. Understanding the difference between AI and Cognitive computing helps to decide which one is best for your business.
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The key elements disrupting the insurance industry include the Internet of Things (IoT), wearables, big data, artificial intelligence and on-demand insurance.
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We have reached a stage in technology where it is possible to develop systems which mimic the human brain. This is cognitive computing.
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A Business Analyst is often confused with a Data Scientist. So I have written this article to clear out the differences between the two with the help of clear bullet points.
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Digital Transformation has spilled on the new opportunities of artificial intelligence and machine learning. A lot of the coverage has been thought-provoking pieces on the long-term possibilities for "cognitive computing," which allows computers to reason and simulate human thought processes.
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