AI in Medicine in 2020

By Abdul Dremali on Sep 9, 2020 2:30:00 PM

The Star Wars canon has medical droids playing a prominent role in autonomous diagnosis and treatment of injuries and illnesses. How cool would it be if even semi-autonomous systems could handle routine diagnoses and treatments, freeing doctors and caregivers to focus on more challenging cases? Well that future is a little closer to reality than some may think!

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What Can I do with NLP?

By Abdul Dremali on Aug 31, 2020 12:15:36 PM

Humankind, it seems, has for a long time been fascinated with the idea of machines that can mimic the human capabilities of thought, intuition, creativity, problem-solving, and communication. From the chess-playing Mechanical Turk of the 18th century (which was actually a clever and elaborate ruse) through the ELIZA computerized “psychotherapist” in the 1960s and any number of sci-fi franchises and Saturday-morning cartoons, history has no shortage of intelligent machines, real or imagined.

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5 FAQs About NLP

By Abdul Dremali on Aug 25, 2020 9:15:00 AM

Humans have a curious habit of talking to inanimate objects. As children, we talk to stuffed animals and other toys. (Sometimes, we answer for them.) This carries into adulthood; we talk to plants, cars, televisions, kitchen appliances, computers, rocks... Sometimes we chastise them when they misbehave.

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AI and Cognitive Technologies for the Insurance Industry

By Abdul Dremali on Jul 29, 2020 2:30:00 PM

If someone asked you to list the top 10 technologically cutting-edge, forward-thinking industries aggressively adopting digital transformation, chances are “insurance” would not be among them.

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Even AI needs UI

By Matt Hull on May 20, 2020 1:55:00 PM

In Douglas Adams’s The Hitchhiker’s Guide to the Galaxy, the computer onboard starship “Heart of Gold” could be described as intelligent (if “intelligent” is a synonym for “snarky”).

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Artificial Intelligence, Table Stakes for Survivial

By Abdul Dremali on Mar 4, 2020 9:00:00 AM

One of the biggest mistakes business leaders make is assuming what brought them success in the past (business models, core competencies, business processes, and tools) will continue to do so indefinitely.

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