What are Data Beasts? Well, a topical idea, I was delighted to have, as another contribution from Francesco Corea. Francesco is currently a leading AI blogger, after many years as a consultant & advisor. We last heard from him with his review, of the InsureTech sector. In this post, Francesco shares, his perspective, on what it takes to be a good Data Scientist & how to become one. It’s interesting.. Read More
Guest blogger, Martin Squires from Walgreen Boots, shares why you need an analyst at least as much as data scientists & why a medical analogy helps.
To complement the perspectives of our recent guest bloggers, today I’m sharing three ways of listening to data scientists. These will include a (potentially) free recommended eBook, an engaging blog post and a punchy video. Peter, Robert & Francesco have made a case for data & AI potentially transforming businesses & sectors. As part of our month focussed on applications of data & analytics, I also want to share real.. Read More
Just because you can, doesn’t mean you should; this is perhaps the simplest way to introduce questionable practices. Last year we posted on the desire amongst many data scientists to achieve social good through their work. As for all disciplines, there is also a potential “dark side“ to the capabilities of data scientists. So firms have or still do seek to use data as a weapon or persist with questionable.. Read More
I hope you’ve found this month’s Data Science content to be useful, as I’d also like to share with you some personal Data Science stories. To complement the technical resources I’ve shared recently, it’s important to also focus on the people side. Customer Insight Leader exists to encourage and inform more holistic customer insight leaders, covering the disciplines of data, analytics & research, as well as the requisite leadership skills… Read More
Guest blog post from Mark Sellors of Mango Solutions. Practical tips, to ensure you have prepared well, to achieve Data Science readiness.
Following on from guest blogger Michael Young’s first post on Data Scientists 2.0, this one shares next steps. MBN chairman, Paul Forrest, builds on what Michael revealed as the learning points for employers, universities & students (from Data Science placements in Scotland). In this shorter post, Paul considers key questions for both employers and students: How can employers find these new (improved) Data Scientists 2.0? How can students currently studying.. Read More