The data science valley of despair is real. Time after time, leaders who’re well-versed in case studies and industry research extolling the returns of data-driven insights seek to innovate their business—and land in a hole of frustration and write-offs. It may be more accurate to call it a crater of despair given that Gartner predicts 85% of data science projects will fail (2018). What do the 15% of successful data science projects have in common? A…Continue
Scene from The Incredibles 2
Promising data-minded individuals are easy to spot from the distance: curious detailed-oriented thinkers, energized by uncertainty, open to opposed opinions and willing work in team iteratively to produce insightful recommendations, but still with feet on the ground.
The analytics job market is nascent and…Continue
There was a recent publication of a story lamenting the shortage of Indian talent in Artificial Intelligence (AI) and related fields. While the article largely focused on the challenges tech startups face while recruiting AI talent, it’s clear from the conversations we have been having with established enterprises that the supply-demand imbalance for AI talent is as acute across company sizes and industries.
What’s the big problem?
As the article…Continue
Added by Rishabh Kaul on March 24, 2017 at 3:00am — No Comments
Excitement around Big Data has significantly increased the demand for data scientists. This hot position has been hailed as the "Sexiest Job of the 21st Century" by the Harvard Business Review.
When we started in the advanced analytics space we didn't use the term 'data scientist.' We were more focused on solving problems than defining a job description. Our initial teams have evolved and adapted to challenges through hands-on experience to find…Continue