Tips for Aspiring Data Scientists

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Data scientist ranks as the best job for 2019 in America on Glassdoor. With a median base salary of $108,000 and a job satisfaction rank of 4.3 out of 5, plus a fair number of openings predicted, that is not surprising. The question is: What does one have to do to get on track to qualify for this job?

To find out, we looked for the advice given to those who seek to get on this career track. Much comes down to the hard skills in coding and math. But that strong computation alone doesn’t cut it. Successful data scientists also need to be able to speak to business people on their own terms, which calls for the capabilities associated with soft skills and leadership.

Read more in 12 Key Tips for Learning Data Science

Gearing up for digital transformation

It’s the time of year when we’re gearing up for the spring forward (March 10). As we get set to advance our clocks, we should also be thinking about how we can advance our businesses on the road of digital transformation. That calls for making the necessary shifts in a technology portfolio to embrace the game changers, especially the ones that deliver on customer analytics.

Read more in Time to rebalance your technology portfolio for digital transformation

11 Takes on AI

Takeaway: The advance of AI is inevitable, and what that translates into for humanity is not altogether clear. Some believe we can look forward to a great future, while others think it means we are on the path to being supplanted by our robotic overlords. The third perspective is one that is aware of risks but considers them to be manageable.

We hear a lot about AI and its transformative potential. What that means for the future of humanity, however, is not altogether clear. Some futurists believe life will be improved, while others think it is under serious threat. There’s also a spectrum of positions in the middle. Here’s a range of takes from 11 experts.

Here's the first 

That is the first sentence in Yudkowsy’s 2002 report entitled “Artificial Intelligence as a Positive and Negative Factor in Global Risk” for the Machine Intelligence Research Institute (MIRI). While the term AI wasn’t bandied about nearly as much then as it is now, there still remains a problem of a lack of understanding on the capabilities and limits of the technology. In fact, in the past couple of years, there’s been more of a push to make AI not just understandable, but explainable.

And we'll jump to the last one: “There is no reason and no way that a human mind can keep up with an artificial Intelligent machine by 2035.” – Gray Scott

This quote is not mistyped, though it deviates from the way you will see it anywhere else online because it always appears as “There is no reason and no way that a human mind can keep up with an artificial intelligence machine by 2035.” Here’s the story. Based on how far back it appears in digital sources, it was likely said in 2015. However, I could not pin it down to any particular context even after hours of search through texts and videos from that period. So I contacted Scott himself to ask for the source. He admitted, “I do not recall when the first time was that I said this or where it was.” But he did recall his wording: “The quote has always been wrong. It should read ‘artificial Intelligent.’”

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To read the other nine, click on 11 Quotes About AI That'll Make You Think

eBook on AutoML

 AI can enable marketers to deliver on those expectations because it can anticipate not just what customers would want to hear about but when and how they’d want to receive that communication. “With AI, such personalization can now be achieved with previously unimaginable precision and at vast scale,” insists H. James Wilson and Paul R. Daugherty. The company that does that for music is Pandora. Delivering personalized music selections involves “billions of data points that are tracked across dozens of systems, including media servers, device clients, and ad servers.” To keep all that running smoothly, it needs to detect and address anomalies as they occur. It’s a tall order that is answered with an ML system with the capability to do just that in near real-time, something Pandora will also draw on in assuring its ads are performing as expected.

Read more in my eBook: 2019: the year AutoML takes off