This month, I am wrapping up my three-part series on evolving data-related roles by focusing on one of the fastest changing and popular roles under discussion in the industry today – the data scientist.
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This month, I am wrapping up my three-part series on evolving data-related roles by focusing on one of the fastest changing and popular roles under discussion in the industry today – the data scientist.
Data has become a vital piece of the strategic puzzle for every organisation. It enables a company to extract insights and monetise its data to deliver a differentiated customer engagement experience. And yet, according to this recent industry article I came across citing Gartner research, this is only a relatively new realisation.
Given the rapid push towards the digitalisation of business in 2020, Artificial Intelligence (AI) has gained attention and as a critical enabler in this regard. In April this year, while delivering on the company’s quarterly earnings report, Microsoft CEO Satya Nadella said that “we’ve seen two years’ worth of digital transformation in two months.” It …
Artificial Intelligence (AI), Blockchain, the Internet of Things (IoT), Security and Automation are just some of the tech trends that have been raised for 2019. And what’s the one thing they all have in common? Data of course!
I must say, as I continue to see the world abuzz by AI, the more I am not only drawn to the topic but also tend to come across various views and opinions around businesses not yet truly benefitting from AI – and with that – the industry perception around the AI ‘pipe dream’.
Globally, the world is abuzz around Artificial Intelligence (AI). At the very core of AI lies data – and data of course is what really drives me.