Blog - BlockChain Council US

Nov 15, 2019
NLP/ML – Machine Learning and Natural Language Processing Implementation

Natural Language Processing is a form of machine learning or artificial intelligence that aims to understand generate and analyze human speech and communication. Speech is a very creative, artistic and subjective aspect of human communication that is dynamic enough not to be predictable by mere grammatical rules. This makes the task of NLP challenging for […]

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Nov 15, 2019
Digitally Disruptive Technologies in Trends

Disruptive technology as the name suggests is an innovation that creates a new audience and generates new value replacing existing market trends, products and business associations. This relatively new concept has changed the way we look at the permanence of business. Technology plays an almost exclusive role in bringing the change, often in startups by […]

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Nov 15, 2019
Artificial Intelligence Solutions

Machine intelligence, or artificial intelligence is defined as recreating cognitive skills by computers similar to that of humans. Computers that are programmed to receive inputs and information, reason based on sets of logical rules, and make amends on their own are all utilizing artificial intelligence. From robots that perform surgery to simpler applications such as […]

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Nov 15, 2019
IoT- Internet of things

If you’ve not been living under a rock, chances are you’re already using at least a few IoT devices. The concept has been making a lot of noise in the IT field, but what is IoT really? Is it a passing trend? Can it save you time and money? And most importantly – is it […]

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Nov 11, 2019
Blockchain promises privacy & Accuracy in the Healthcare Industry

Medical data related to healthcare is currently scattered across several different branches in the field. This negatively impacts clinical trials and rendering the right services to patients on time with accountability. Statistically, nearly half clinical trials are never reported and the cost of new drug research is constantly rising. Patient data in the healthcare industry […]

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