Artificial Intelligence (AI) is evolving further and is on the way to become one of the major branding components in the near future. A good team is required to plan and execute an effective AI strategy.

Econsultancy columnist Jennifer Roubaud has shared some useful tips to help businesses choose a perfect AI team for enhancing performance.

On role of people in AI, Roubaud says, “Businesses need a data engineer first to organise the data. Then a general data scientist who can test and adapt algorithms. And lastly, a software engineer who can implement the applications. Depending on the company’s needs, there may be more than one of each of these positions.

It’s interesting to note that a few years back, organisations building AI teams first looked to PhDs to lead the charge. Candidates skilled with a PhD in data science are clearly still in demand, but a shift has taken place. CIOs now want candidates who convert learning algorithms to business value.

Given this, more CIOs are assembling blended teams that can tackle collecting the right data, building the right models, and using these to make the right business decisions”.

How to assemble the perfect AI team: it’s not just about data scientists

Econsultancy
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