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What are some of the key ways in which AI can handle data better than humans?

By Jayant Lakshmikanthan | Last updated: November 9, 2018

Ultimately, the best AI-driven results come from a combination of AI and human expertise. But AI has opened the door for humans to process data at levels across multiple vertical industries that were unimaginable in previous generations.

Using AI, we can now derive patterns from data at scale. Currently, even the simplest of computers can provide enough horsepower to process data and derive patterns much faster than a human could. AI also brings a level of objectivity and fairness to decision-making that had previously been influenced by human bias. And finally, the speed at which AI can interact with other systems is many, many orders of magnitude faster than humans. This speed opens up a range of use cases that are helping power the next generation of operational efficiencies.

Despite AI's great power, there are many areas where it falls short of human expertise, especially when creativity and abstract problem solving are needed. The next few decades will be about making the magic of AI plus human expertise come to life.

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Artificial Intelligence Emerging Technology Machine Learning

Written by Jayant Lakshmikanthan | CEO of CLARA Analytics

Profile Picture of Jayant Lakshmikanthan

Jayant is the Founder and CEO of CLARA analytics ("CLARA"). He started CLARA with the mission of enabling the next generation of commercial claims operations using easy-to-use AI products. He is obsessed with helping the commercial insurance industry at large by driving down claims leakage through highly targeted, best-of-breed solutions that have deep AI behind the scenes but are a joy to use.

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