Alan Morrison is an independent consultant and freelance writer on data tech and enterprise transformation. He is a contributor to Data Science Central with over 35 years of experience as an analyst, researcher, writer, editor and technology trends forecaster, including 20 years in emerging tech R&D at PwC.
During a presentation at the TechTarget/BrightTALK Accelerating Cloud Innovation event this past December, I named the fifth phase of compute, networking and storage that we’ve… Read More »Preconditions for Decoupled and Decentralized Data-Centric Systems
Back before he retired, Naval War College professor and contributor to The Atlantic Tom Nichols published a 2017 book called The Death of Expertise. Those… Read More »Data Science and the Death of (All but Narrow) AI Expertise in 2023
I became a true data hound after a stint as a market analyst in the semiconductor industry. The role involved these activities: The habits and… Read More »Seven Steps to Simple DIY Market Forecasting
How much did it cost an identity thief in 2022 to buy some of your personally identifiable information (PII)? PrivacyAffairs.com reported that a thief could… Read More »Thoughts on personal data protection trends and outlook 2022-23
One of the things I do as a next gen systems-aware trends observer is look across the vast landscape of tech’s numerous tribal nations, compare… Read More »Data Centricity and a Data Farming Mentality
I’m using the term web3 in a hopeful way with an expansive definition in mind, one that’s not familiar to most people. When I mention web3, it’d be good if you could put aside the associations with cryptocurrency, blockchain, and an endless, speculation-driven hype cycle for a moment.
Data-centric architecture revisits architecture and turns that architecture on its head. Ever since the dawn of client-server computing, applications have been the focus of enterprise IT buyers.
Webby data architects and modelers–the spider-like ones who use intelligent graph design and a bit of glue or another sticky substance to achieve their objectives–are focused on making joinery much more efficient and scaling a lot more useful with the help of more contextualized data.
Natural language processing (NLP) has been around at least since the early 1980s, under various names. Back then, I remember machine translations of Russian language… Read More »Magic bullet intelligent process automation, NLP edition
CEO Dave McComb, President of Semantic Arts, noted during a talk in 2021 that one of his banking clients had customer US Social Security Numbers… Read More »Data protection problems, principles and identity solutions
