Tom’s early work helped build the solid foundations on which properly managing data quality rests.
He also focused on HOW to do the work.
More recently he has focused on the WHY and the WHO.
The costs are high and Artificial Intelligence is dangerous without high quality data.
Click the images below for our must reads!
If you don’t see something you are looking for…just ask, we have written hundreds of articles!
“Getting Your Companies Data Program Back on Track,” Harvard Business Review
“The Rise of Connector Roles in Data Science,” MIT Sloan Management Review
“What Does it Take to Actually Build a Data Driven Culture?,” Harvard Business Review
“New Technologies Arrive in Clusters. What Does That Mean for AI?” Harvard Business Review
“Your Data Strategy Needs to Include Everyone,” Harvard Business Review
“Your Data Initiatives Can’t Just Be for Data Scientists,” Harvard Business Review
“Bad Data is Sapping Your Team’s Productivity, Harvard Business Review
“Only 3% of Companies’ Data Meets Basic Quality Standards,” Harvard Business Review
“If Your Data is Bad, Your Machine Learning Tools are Useless,” Harvard Business Review
“What Managers Should Ask About AI Models and Data Sets,” MIT Sloan Management Review
“To Improve Data Quality Start at the Source,” Harvard Business Review
“Data’s Credibility Problem,” Harvard Business Review
“Bad Data Costs the US $3 Trillion Per Year,”Harvard Business Review
“What’s Holding Your Data Program Back?” MIT Sloan Management Review
