DSC Webinar Series: Developing, Deploying and Managing Models at Scale
When it comes to data and analytics investments, organizations are looking to achieve better and faster decisions. Data science/IT teams need to effectively collaborate t...
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DSC Webinar Series: Now’s Not the Time to Ignore Disaster Recovery. Learn What You Need to Know.
Depending on your point of view, Disaster Recovery can either seem overly complicated or unnecessary, but both of those attitudes can be problematic. The fact is that in ...
DSC Webinar Series: Project PARETO – DOE’s Produced Water Optimization Initiative
By 2030, oil & gas plays across the United States are expected to produce over 60 million barrels of water every day. Most of this water is characterized by high Tota...
DSC Weekly 7 June 2022
Announcements Building a successful data architecture strategy continues to challenge businesses as data management growth and innovation continues through 2022. Discover...
Help Support Women in AI
Editor’s Note: I do not normally treat social media posts as articles, but this one is a bit special. Author Andrew Jones contacted me about helping to promote a ne...
DSC Weekly 31 May 2020: Why Is Returning To the Office So Hard?
If you’re a manager tasked with overseeing a return to the office strategy, the last year has likely been a headache for you. In the Summer of 2021, many companies ...
DSC Weekly 24 May 2022: Is an AI Autumn Around the Corner?
It is hard, looking at the current technological landscape, to believe that artificial intelligence may actually be facing a reckoning that could cause investment in the ...
Lessons Learned from Writing My First Python Script
After 25 Years of Coding in C And Perl. As an independent author/researcher, there is of course nothing in my “job description” that says I should code in Pyt...
Importance of Fearlessness to Exploit the Potential of AI
“Courage is not the absence of fear, but rather the judgment that something else is more important than fear. The brave may not live forever, but the cautious do ...
Common Sense Machine Learning
There are different ways to define common sense machine learning. It could mean using simple models whenever possible, avoiding overfitting, correctly selecting features,...