Ten Data Challenges We Face With COVID-19 (Pt. 1) Paid Members Public
On March 12 the WHO announced [https://www.bbc.com/news/world-europe-51876784] that "More cases are now being reported every day than were reported in China at the height of its epidemic," marking a new phase of the Coronavirus pandemic. Every day there seem to be more numbers
Why Your Analytics Transformation Needs Help From HR & Communications Paid Members Public
Those of you that I have worked with before know that I have a soft spot for HR and Corporate Comms. Not only are these teams often overworked and under resourced, but they tend to be staffed with some of the most engaged and empathetic colleagues you will meet. To
AI: A Team Effort Paid Members Public
With the explosion of interest in AI across businesses of all kinds, particularly in traditional industries, the emergence of new platforms and solutions have helped make AI more accessible. The latest versions of frameworks like TensorFlow [https://www.tensorflow.org/] and PyTorch [https://pytorch.org/] have made model building more
Permission To Land: Ensuring Analysis Has Value Paid Members Public
At the heart of it, the purpose of analysis is to drive better actions through informing better decision making. In this article, I will focus on one of the most important parts of this process; making sure the output lands well and drives action. When is the right time to
What To Look For In A Data Leadership Role Paid Members Public
A few months back, we shared a series of articles to help analysts and data scientists choose their next role (parts 1 [https://qstar.ai/analysts-data-scientists-how-to-choose-your-next-role-part-1-of-4/] , 2 [https://qstar.ai/analysts-data-scientists-how-to-choose-your-next-role-part-2-of-4/] , 3 [https://qstar.ai/analysts-data-scientists-how-to-choose-your-next-role-part-3-of-4/] and 4 [https://qstar.ai/analysts-data-scientists-how-to-choose-your-next-role-part-4-of-4/] ). Here, I expand on t
Beware Tech Advocates Bearing Certainty Paid Members Public
Many organisations are forced to take a leap of faith. Under pressure from consumers or shareholders they know they need to transform, but they might not have the comprehension, capability, or capacity yet to guarantee the success of such a move. Yet they must jump! This is particularly true when
How Did Enterprise Data Science & AI Fare in 2019? Paid Members Public
This is the time of year where many of us find ourselves reflecting on our performance. Did we stick with those New Year's resolutions, or not? Did we achieve what we wanted to achieve, or not? Similarly, let us consider how data science and AI fared in the
'Twas the Post Before Christmas (2019 Edition) Paid Members Public
'Twas the post before Christmas, fifty-two on this blog, It was due this morning, but Ryan slept like a log; Yet this seems a good time, for the year to review, In hopes of sharing some useful insights with you; First off, I can say, with a degree of
