Systems | Development | Analytics | API | Testing

The digital revolution has truly transformed modern organizations, embedding data and analytics in every business process and customer interaction. Advances in technology enable smart supply chains with predictive analytics, automated logistics for same-day delivery, and AI advisors that reduce medical errors. As this continues, workers in all roles will need new a new skill—data literacy—to collaborate with these systems and each other.

In 2019, global venture capital investment in Fintech totaled at least $33.9 Billion. For years, the incumbent players had been warning the sector that when the next recession hit, or when fintech faced a “real” crisis, that the sector would, at worst, collapse, and, at best, see a whole bevy of fintech players disappear

I’ve been blogging for about a year about the power of misinformation and our obligations as data professionals to combat it. In a March 2021 blog post, titled “The Power of Misinformation,” I outlined some of our biological instincts that make us susceptible to misinformation and how tricksters exploit them.

I don’t think anyone could argue that the last two years have changed the workplace forever. Entire nations have been confined to their homes during months of lockdowns, and the way we conduct business and interact with each other has passed a point of no return.

Asking the right questions of your data and knowing what you are looking to find is a critical component for gaining insights from your data that drive specific actions. Data is not black and white; there is so much you can do with it. Accordingly, two people with the same data can come up with very different insights. This is because so much depends on the specific problem to be solved and the approach you take to solve it.

This post is going to be a bit of a step back into the past. As Mork from Ork would say: “nanu nanu.”

Here’s one of the most memorable quotes I have heard from a customer here in Asia: “Every time they tell me it’s ‘not in the universe’, I feel like mine is collapsing.”

During the information age, and throughout the 4th industrial revolution, technology, data and information were in abundance. But, soon came the realization that technology and access to all of the data and information, by itself, was not the solution.

2021 demonstrated the precariousness of our global supply chains and the potential cost to business. The Suez Canal blockage held up around $9.6bn of trade each day, while the true impact of the pandemic won’t be known for years. Many of us have also felt it during our weekly shopping and the disappointment when one of our favorite items is replaced by cardboard cutouts instead of the foodstuff themselves.

During the holiday break, our family had to get tested for COVID. We got at-home tests, as they were available, and it was easier than having to wait in line at a testing center. This got me thinking of a recent article in the New York Times, which raises the notion that experts are questioning the importance/value of measuring COVID caseloads with the rise in the use of at home tests.