Second Order Thinking
Complexity arises from permutations, and to achieve long-term goals, it is often necessary to determine which permutations are both achievable and desirable.
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Data Strategist
This rubric covers organizational strategy and how digital transformations, the effective use of AI, big data and related technology are essential to an overall framework for business success in the digital age.
Data Subassemblies and Data Products Part 1: Modern Data Management Building Blocks
I believe that there are two key modern data management “products” required to transition data management into a business discipline focused on helping organizations accelerate their data-driven business innovation. One of those “products” – Data Products – is already gaining wide acceptance as a way for organizations to monetize their customer, product, service, and operational insights or predicted behavioral and performance propensities.
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 corporate floor, with a certain degree of experimentation and iteration, especially early on in the process. Yet there are critical differences as well.
The Similarities of Solving Data Problems and Rubik’s Cubes
In 1974, two distinct but interestingly similar milestones were achieved that would greatly affect the lives of data engineers: the Rubik’s Cube was invented, and IBM released the first relational database. Since its original rise in the 1980s, the Rubik’s Cube has become the world’s most popular puzzle toy.
10 steps to data profiling for successful data discovery: Part II
Before embarking on the data profiling exercise, an analyst must prepare by going through a data profiling analysis.
Point – Counterpoint on Why Organizations Suck at AI
I love this infographic recently floating around LinkedIn. Sorry, don’t know to whom to give credit, but it does provide an interesting depiction of how senior management thinks AI works and the realities of what’s required to make AI work.
Platform Technical Management – Data Engineering View
A data platform is an integrated set of technologies that collectively meet an organization’s end-to-end data needs. It enables the acquisition, storage, preparation, delivery, and governance of your data, as well as a security layer for users and applications.
Living in a Risk Society – Change, Perpetual Crisis, Comprehension, and Policy
The world is becoming increasingly complex – as highlighted in my first article here – but the concern isn’t only about being complex. Considering the ever-increasing speed of the state of complexity, we have entered the age of polycrisis.
Data Management as a Business Discipline – Part 2: Theorems and Principles
In the blog “Why Data Management is Today’s Most Important Business Discipline”, I challenged the business and IT communities to reframe the data management conversation; to transform data management from an IT practice into a business discipline focused on leveraging data (and analytics) to deliver business and operational outcomes.
Image Annotation Overview 2022
One of the most important jobs in computer vision is image annotation. Computer vision essentially aims to give machine eyes — the capacity to perceive and comprehend the world — through various applications.