The Data Journey: 5 Stages Of Turning Data Into Actions

In the last 20 years, a fair amount has been said about “big data” and how to approach it; however, what to honestly do with it and how to make it actionable is somewhat unclear. It follows a high-level – and transparent – roadmap on treating your data and making it work for you. There are five stages in turning data into actions…

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How COVID-19 Has Impacted Higher Education

For this article, we interviewed a wide variety of students, teachers, and administrators to get their insights on the effects of COVID-19 on higher education in the U.S. For the general purposes of this article, we use higher education and post-secondary education to refer to colleges (community colleges, technical schools, and liberal arts colleges) and universities (public and private institutions that offer both undergraduate and graduate programs).

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A Pediatrician’s Day: Reflecting on Emotional Challenges

No day is the same, and no day is predictable, either good or bad.  Other than pre-scheduled meetings, “zooms,” or webinars, my patient care schedule is always full of the unexpected.  As a physician, I find that my moods and emotions ricochet from feelings of endearment towards a newborn whom I examine to those of helplessness in attempting to counsel an adolescent with thoughts of suicide. 

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The Dangers of Installing Apps: What You Need to Know

Now that I’m out of the military and advising clients on information security. I’m much more in touch with the continual technology changes, and wow, is it tough to keep track. Welcome to the era of everything as a service, and every service requires an application or app – primarily a smartphone app. I contend I may be even more deliberate in making a technology change, especially when it comes to smartphone apps, because of the security concerns.

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What Data Science Means to Organizations – II

AI Presents Endless possibilities across all Industries and Organizations. Applications and use case possibilities are limitless. They depend on the growth stage, status quo existing data stack, priorities, and budget. Industry, organization size, and personas can segment AI Use Cases. Determining the relevant data universe and identifying models to solve a defined challenge can be alike regardless of industry.

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