DSC Weekly 4 October 2022 – Resiliency
Last week, Hurricane Ian hit Fort Myers, Florida, skirting the edge of Category 5 Hurricane classification. By the time it exited the other side of the Peninsula (going o...
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How to Troubleshoot and Fix Common Technical SEO Problems?
Technical SEO is one of the most important aspects of SEO. It covers all the behind-the-scenes work that needs to be done to make sure a website is technically optimized ...
10 Reasons to Choose Python for Your Next Web Development Project
Python is a popular programming language with many advantages over other languages. It’s easy to read, write and maintain, which makes it the perfect choice for beginne...
Building Blocks for Modern Data Management: Data Subassemblies and Data Products – Part 1
I believe that there are two key modern data management “products” required to transition data management into a business discipline focused on helping organizations ...
Who Benefits from AI Writers?
When it comes to writing, there are many different types of writers. Some write for pleasure, some write to inform, and some write to sell. But what happens when the work...
The Metaverse Will Be Built on Big Data and User Trust.
As technology gears up for one of its most significant periods of growth in the digital age towards a future built on the foundation of the metaverse, the sheer volume of...
Tesla’s Optimus: Humanoid robots before autonomous cars?
At first impression, humanoid robots do not have much in common with autonomous cars. But both are autonomous devices. Hence, lessons learned in creating autonomous cars ...
How AI Helps the Educational Sector
AI is rapidly changing the field of education. The advances in the data storage system and advancements made in Artificial Intelligence (AI) in the last decade have allow...
The Studio Model Revisited
On the other hand, studios produced a different kind of product - entertainment. Superficially, the studio model looks more agile than either the factory floor or the cor...
How to Automate Data Cleaning, in a Nutshell
Data scientists spend 80% of their time on data cleaning and exploratory analysis. What if you could automate most of this? What if data scientists spent most of their ti...