Humans – The Weak Link in your ML / AI Strategy?
In many cases, machine learning needs to be deployed to augment human decision making, not automate it. What are you doing to account for this dependency on the success of your data product?
Business and UX Strategy
My Too-White Data Podcast Looks ~Like This: 🧑🦲🧑🦲🧑🦲🧑🦲🧑🦲🧑🦲🧑🦲🧑🦲👩🦰👨🏾
Self-reflecting on #BLM, the makeup of my podcast guests to date, racism, and the responsibilities of consultants with platforms and audiences in fighting injustice.
$1M spent on a predictive model/data science w/ $0 value and no user engagement?
How to avoid spending 6-8 months on a technically right, effectively wrong model. Are you successful with ML if nobody uses your solution, model, or application?
(6) Ways to Sanitize Your Data Product, Dashboard Visuals or Analytics due to Covid-19
Covid-19 presents a major disruption to our lives and businesses. However, sanitizing your hands isn’t the only thing you data leaders need to be considering. Your data product, dashboards, or UI may also need to be cleaned up. No hard-to-find Clorox wipes needed; just some good design thinking centered around your customers.
UX Designers & Data Scientists: United in Job Misery?
My conversations and research suggest that individual contributor UX designers and data scientists share one thing in common: it’s often a challenge to “get to do the job I was hired for.” People, process, and political roadblocks at every turn—so what can you do about it if this is you? And if you’re managing these people, what are you doing to ensure these people don’t leave?
Empathy & Human-Centered Design in a World with the Coronavirus
It takes more than math and technical skills to develop simple, useful, and usable decision support solutions. It starts with problem clarity, customer empathy and…
Technically Right, Effectively Wrong: Why 85% Data Science Projects Fail
It takes more than math and technical skills to develop simple, useful, and usable decision support solutions. It starts with problem clarity, customer empathy and…
10 human reasons your data product or solution may fail
It takes more than math and technical skills to develop simple, useful, and usable decision support solutions. It starts with problem clarity, customer empathy and…
Should a vision for a new AI or data product be inspired by existing data…or not?
How should we be innovating in AI? Work backwards from in-shape data? Or start with a vision for how we’ll create value for the customer or organization?
Metrics toilet? Or indispensable data product?
You got the data. Your model rocks. Your analytics are impressive. But, do customers see indispensable decision support….or a metrics toilet?