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22 days

How to Successfully Manage an Offshore Team

Over years I have seen a lot of companies struggle to have a cultural fit with a remote team. The remote team could be an offshore or nearshore team in a vendor place or in its own subsidiary. I thought of writing this article to share some of the experiences, it is not a comprehensive list as I could write a book on it and still be left out with some of my thoughts.

24 days

Japan’s Toxic Overtime Culture Shows Why Technology Can’t Fix Us

We were told that technology would fix it. In 1930 John Maynard Keynes predicted that the work week would need to be reduced to 15 hours in response to improved productivity from automation. It hasn’t worked out that way. Things certainly have gotten better. Economies have grown, standards of living have increased, workplaces have become safer, but we are working more than ever.

25 days

Machine Learning cares about your Customers

Most business owners care about their customers. They are genuinely concerned when it comes to replacing humans with machines. Machine learning (ML) aims to transform user experience by creating a strong bond between customers and technology.

26 days

Exploring the Promising Combination of IoT and Blockchain in the Print Industry

The application of blockchain in the print industry in conjunction with the Internet of Things (IoT) is gradually gaining pace because of the need for added security and connectivity.

28 days

Why Your ICO Investment Will Lose Money in 2018

Cryptocurrency and ICOs are as different as dollars and donuts — literally, one is a medium of exchange and the other is something you purchase with that medium.

1 month

Artificial Intelligence in Human Resources

The application of artificial intelligence (AI) in human resources (HR) not only helps to shortlist and recruit the best candidates but also tracks their evolution and performance in the workplace.

1 month

3 Lesser Known Applications of Machine Learning

Applications and uses of machine learning (ML) span across numerous industries. Companies are trying to leverage the technology continually. However, ML being a dynamic technology consists of applications we didn’t know about.