Editors note: This is the first in a series of articles. According to the Global McKinsey Survey on the State of AI in 2021, the adoption of AI is continuing to grow at an unprecedented rate. Fifty-six percent of all respondents reported AI adoption – including machine learning (ML) –
In the first post of a two-part series, Phil Simon plays point-counterpoint with himself.
Phil Simon chimes in on a way to lock down data
.@philsimon on the downside of the Band-Aid approach.
.@philsimon lists the gravest data-quality errors.
With Big Data, there are far more technical questions than answers.
Healthcare IT News recently published an article on 18 health technologies poised for big growth, a list culled from a HIMSS database. The database is used to track an extensive list of technology products that have seen growth of 4-10 percent since 2010, but have not yet reached a 70
Healthcare IT News recently published an article on 18 health technologies poised for big growth, a list culled from a HIMSS database. The database is used to track an extensive list of technology products that have seen growth of 4-10 percent since 2010, but have not yet reached a 70
I've spent a great deal of time in my consulting career railing against multiple systems of record, data silos and disparate versions of the truth. In the mid-1990s, I realized that Excel could only do so much. To quickly identify and ultimately ameliorate thorny data issues, I had to up
@philsimon on the need to recognize DQ differences.
.@philsimon on the different folks you'll encounter in many large organizations.
I've received a lot of reactions to my sascom article Getting a real return on your ERP investment. Many questions have focused on my statements about agility and the differences between agility in operational (ERP) and decisional (Business Analytics) environments. Agility in an operational environment means that your IT department
