Why Data Scientists Are Crucial For AI Transformation Posted on : Sep 20 - 2018

Why do you need Data Scientists in 2018?

Until a few years ago the work of data scientists was isolated and mattered primarily for research and/or R&D purposes. The industry has been extremely thankful for the contributions of these clever individuals but we need them now in the mainstream! This need is creating a huge demand in the industry and it's radically transforming the hunt for big data and machine learning talent.

Fast forward 2018 and today every CEO, CIO, CDO, CMO  is seeking answers to questions that don't exist yet.

Typical questions in the minds of the leaders could be...

#1 How do I drive innovation within my company, industry or community in a dramatic fashion?

#2 How do we disrupt the industry with our products and services?

#3 How do we change and challenge our workforce's mindset by providing insightful "out-of-the-box" data analytics?

#4 How do we launch a new LOB (Line of Business), product and/or service using these thin/thick/lazy/idle datafied analytics with machine - and deep learning?

#5 For Governmental or CSR-driven businesses - How do we dramatically drive social change, reduce crime using data? For instance see how Memphis reduced its crime rate by 30% using data.

Think about it from your own industry perspective.

An Example: The Oil & Gas sector. How do we enhance and optimise exploration and production (E&P)? With conventional technologies becoming commoditised and depleting traditional resources one has to competitively use unconventional methods such as deepwater, tight oil or shale gas. I won't get deeper into aspects such as seismic plotting, WAZ and NATS, etc. as that is only generating more data waiting to be exploited! View More