Nand Kishor Contributor

Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... ...

Full Bio 
Follow on

Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc...

3 Best Programming Languages For Internet of Things Development In 2018
399 days ago

Data science is the big draw in business schools
572 days ago

7 Effective Methods for Fitting a Liner
582 days ago

3 Thoughts on Why Deep Learning Works So Well
582 days ago

3 million at risk from the rise of robots
582 days ago

Top 10 Hot Artificial Intelligence (AI) Technologies
314757 views

Here's why so many data scientists are leaving their jobs
81699 views

2018 Data Science Interview Questions for Top Tech Companies
78990 views

Want to be a millionaire before you turn 25? Study artificial intelligence or machine learning
77523 views

Google announces scholarship program to train 1.3 lakh Indian developers in emerging technologies
62247 views

AI and jobs: Where humans are better than algorithms, and vice versa

By Nand Kishor |Email | Jan 29, 2018 | 7005 Views

It's easy to get caught up in the doom-and-gloom predictions about artificial intelligence wiping out millions of jobs. Here's a reality check.

The 21st century's longest shadow hanging over the technology industry, workers, and humanity in general, is the effect that artificial intelligence, robots, and automation are going to have on jobs.

The popular narrative is generally filled with lots of doom-and-gloom about AI wiping out whole industries and millions of people going unemployed, but let's take a little reality check and look at where humans do a better job than AI, and vice versa, to give you some context for how the workforce of the future is going to change.

Where AI wins
It's no secret that algorithms and robots can smoke humans at repetitive tasks and solving problems that involve crunching large, well-organized data sets. Humans get bored and distracted doing the same things over and over again. Robots and computers don't care.

Humans are also slow and prone to error when processing and evaluating patterns in big data. Algorithms have long since lapped us. That's why IBM's Deep Blue beat Garry Kasparov in chess in 1997, and it's why Google DeepMind beat Lee Sedol in the Game of Go in 2016. They used pattern analysis on datasets with very clear rules and parameters.

Where humans win
However, what AI and algorithms are not good at is dealing with ambiguity and gray areas. They don't understand context or nuance, and so they aren't good at making judgment calls. That's where humans are much faster and more accurate.

One of the dirty little secrets about AI and big data is that the tech giants working on it are hiring lots of human beings to sort, organize, cleanse, and prepare the data to be analyzed by the algorithms--because humans are better at it.

As more and more of the economy gets digitized and automated, it's going to create more opportunities for humans with critical thinking skills. And those aren't just white collar jobs either. Robots and AI won't be fixing your plumbing or building skyscrapers. But, they will provide those workers with data that can help them work faster, more efficiently, and more safely.

Special report
To learn more on this important topic, read our special report "IT Jobs in 2020: A Leader's Guide."

Source: ZDnet