The rise of the chief data officer
“Data! Data! Data! I can’t make bricks without clay.” So said fictional sleuth Sherlock Holmes, frustrated at a lack of evidence. Today, this “clay” is
“Data! Data! Data! I can’t make bricks without clay.” So said fictional sleuth Sherlock Holmes, frustrated at a lack of evidence. Today, this “clay” is
While many small business owners might think that harnessing data science is out of their reach, and that analyzing data is supremely difficult unless they
While the future is uncertain for many types of jobs, folks in the tech business can rest easy knowing there is substantial demand for their
In-place IT modernization is not possible without an introspective cycle that includes an analysis of current versus desired state. This thoughtful analysis produces detailed documentation
Shaking off the dust from what could be described as the longest year known to man — remote work is a hot topic in the
How does the Golden Rule apply to developers of artificial intelligence (AI)? To simplify the application let’s assume there are only two people involved. One
Technology infused with artificial intelligence (AI) is starting to become ubiquitous, even in enterprise recruiting. From our email inboxes to the smartphone apps we use
Any narrative about cybersecurity in 2020 is naturally going to focus on the COVID-19 pandemic. This once-in-a-generation crisis and the digital transformation it accelerated both
As businesses prepare for the post-pandemic uptick in consumer spending, now is the time to take inventory of the optimal sources and types of data
Effective data governance empowers organizations to make major improvements across a wide range of key operational and performance issues. These can range from data integrity
It is common knowledge that the pandemic has accelerated the roll out of digital transformation strategies and plans, and the need for successful digital transformation
As organizations invest in Artificial Intelligence (AI) and Machine Learning (ML), they inevitably run into a paradox. The automation that ML models offer can be