Back to School: Three Things I Learned From a Machine Learning Nanodegree Paid Members Public
At work I spend a lot of time thinking about machine learning (ML), both in terms of how to apply it and the practicalities of enabling an organisation to do so. Occasionally I even stand on stage and talk about the subject at conferences, lamenting the fact that deep learning
Evidence Shows That When Making Decisions, People Hate Experiments Paid Members Public
We like to think that this blog, while born out of a trivial New Year’s resolution, has managed to become a reasonably serious outlet. That said, we fully appreciate that today’s post might read like satire, so unbelievable is the topic. It concerns a study published in the
If You Are Serious About AI, You Had Better Get Serious About Data Quality Paid Members Public
Ah, data quality. Almost as unpopular a cocktail party topic as data governance. Yet like that walking punchline Chandler Bing [https://qstar.ai/the-one-where-friends-least-popular-character-ended-up-with-the-sexiest-job-of-the-21st-century/] , data quality is about to enter its defining decade. It will most certainly have the last laugh. This is because you cannot build AI products that
Do Your Metrics Matter to People? From Budget to Behavioural Metrics Paid Members Public
Another quarter, another review. Your organisation is worried advertising costs are rising. Spend is up significantly on video ads and worse, so is their cost per view (CPV). What is driving this? Seems like the competition have stepped up their advertising efforts, pushing your ad auction CPV closer to your
The Trap of Complex & Easy Instead of Simple & Difficult Paid Members Public
Have you ever tried to build a strategy around a difficult topic and found yourself overwhelmed by the decisions in front of you? Perhaps it seemed like there was no way forward without either causing pain, dropping something important, or backtracking on previous gains you had made. Did any complex
Putting the AI in LemonAIde: Practical Applications of Artificial Intelligence Paid Members Public
Though you might not have realised it if you live in England, summer is here. Once upon a time, this meant kids would take to the sidewalks to hawk their non-alcoholic beverages. Other than providing their pint-size proprietors with supplementary income, lemonade stands are a helpful microcosm when considering the
Is Your Work Resulting in Better Decisions? How You Can Make Sure Paid Members Public
Earlier this year we reflected on how important it is in analytics to start with the right question [https://qstar.ai/starting-with-the-right-question/] and to choose the right metrics for your organisation [https://qstar.ai/choosing-metrics-that-matter/]. Say you have indeed done so and have worked your way up the analytics value
Personal Development Plans: This Time... It's Personal Paid Members Public
As anyone working in data and analytics will be aware, most roles face a shortage of qualified candidates. Ensuring your organisation has a strong talent development framework is therefore critical not just in attracting and retaining employees, but also to building the required skills internally. One of the more effective