Started this discussion. Last reply by Rafael Knuth Nov 30, 2018. 2 Replies 0 Likes
We've looked into various geospatial data visualization libraries such as:PySALOSMnxFoliumMapbox GLGDALRasterioFionaPyProjDescartesHowever, since we cater to large enterprises with utility grade data…Continue
Started this discussion. Last reply by Trevor Mills Nov 13, 2018. 4 Replies 1 Like
Excel has become the de-facto spreadsheet tool for business users. It currently has approximately 500 million users, and it might have a bright future ahead."To a large extent, Excel (and the alike)…Continue
Tags: Enterprise, Digital, Transformation, Analytics, Science
Started this discussion. Last reply by Ramesh Gopal Nov 16, 2018. 4 Replies 2 Likes
I recently wrote a post suggesting why Excel users should learn…Continue
Tags: Enterprise, Digital, Transformatino, Analytics, Science
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Posted on December 5, 2019 at 6:30am 0 Comments 0 Likes
Quite often, non-technical executives have difficulties understanding what programming, on a very fundamental level, is all about. Because of that knowledge-gap, they tend to hire and overburden experienced data professionals with tasks which they are hopelessly overqualified for. Such as, for example, doing ad-hoc SQL queries on CRM data: "You're the go-to-guy for all things data, and we need the results for the board meeting tomorrow." That's a quite humbling and frustrating…
ContinuePosted on November 28, 2019 at 6:10am 0 Comments 1 Like
Over the last few years, Excel has been redesigned from the ground up. Currently, Microsoft is making the new Excel core-features available to every user, regardless of your Office 365 license. Thanks to the Microsoft naming conventions, it is easy to confuse the new features with existing ones. That being said, Power Query and Power Pivot are not the same things as Pivot Tables, which you have likely been using for years.…
ContinuePosted on November 19, 2019 at 12:30pm 0 Comments 0 Likes
Many executives struggle to make sense of machine learning (ML) and deep learning (DL). Having a pragmatic relationship with technology, executives need to know on a very fundamental level: "What problems do ML & DL try to solve?" A simple, high-level answer to that question is: "It's all about building systems that do certain things better than humans, with as little intervention by humans as possible." That being said, the simplest way to distinguish between ML and its branch DL…
ContinuePosted on October 14, 2019 at 9:30am 0 Comments 0 Likes
Human and artificial intelligence compares just as well as oranges and apples do. Nonetheless, the broader public does precisely that, including a vast portion of businesses and organizations. Hence, let's do a thought experiment: If we were to compare human and artificial intelligence, how would we go about it? And what would be the possible conclusions from that comparison?…
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