A little while ago, I chatted with Gartner Analyst David Pidsely about a trend I noticed in the job market. It seemed the last 2-3 years, data strategy and governance roles suddenly required coding experience.
It wasn’t my imagination, he confirmed. In 2023, skills and talent shortage were the number one inhibitor to CDAO success. Hiring managers and recruiters have been packing job descriptions with coding skills that don’t always require them.
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Is it ARTIFICIAL intelligence or AUGMENTED intelligence?
The truth? It depends on the design's purpose. An organization’s purpose is informed by its values and profit motivation. Artificial intelligence aims to create autonomous systems that can perform tasks without human intervention, while augmented intelligence seeks to enhance human capabilities by providing AI-powered tools and assistance.
Read MoreAs I considered how to promote my new book on driving data projects, I wanted to include myths and misconceptions that reinforce their value. I have experienced many of these in teams I’ve worked on or with. Data projects are not a static set of routines. It's a constantly evolving, open-to-innovation process.
Only 54 percent of organizations fully understand the value of project management, according to PMI's Pulse of the Profession™ report. That might explain, in part, why project success rates are so low: Less than two-thirds meet their original business intents.
Read MoreI read somewhere that over 80% of adults want to write a book, but only 3% ever get to 'The End' of a draft. That means that 97% of people who want to write a book never finish.
Stats like that make accomplishments like getting my “author’s box” of books all the more rewarding.
Read MoreWhen driving data projects, you will encounter business stakeholder challenges that often go unspoken. This is not always because people hold back but because they don't fully know how to vocalize their constraints.
If they can't directly address their requirement, chances are we can't either. To hear others' speech, we start by asking questions from different perspectives.
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The transition from traditional spreadsheets to sophisticated data management and analysis algorithms represents a significant evolution that has revolutionized how businesses process and leverage information. Algorithms have reshaped the landscape of data-driven decision-making. Facebook's filter bubble is an early example of a machine learning system individualizing the user experience based on user patterns.
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Image Credit: Wanda Tuerlinckx , Humanoids
Employees have been encouraged to ‘automate their roles’ to demonstrate self-direction and continuous learning. In the past, an employee's skills, motivation, and business interests determined the pace of change. Soon, the pace may be beyond their control, risking job loss before they can adapt to consider the next set of problems. If they can’t find problems faster than the pace of automation, they are not adequately prepared for transition.
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Image Credit: (European Parliment) This illustration of artificial intelligence has in fact been generated by AI.
We often consider digital technologies like data platforms, AI, and copilot features as tools. But if we're rethinking the future of work and the future of careers and companies, it's helpful to think of these things as augmenting our efforts. For a copilot in particular, it becomes a junior coworker or maybe a more senior co-worker as the AI skills get better.
Read MoreInsightful article is about the things no one wants to talk about when it comes to #ai and #jobs. While ai brings much opportunity, it will require an ongoing adjustment.
"Overdone pandemic hiring was a reasonable explanation for the tech layoffs in late 2022. But 18 months later, there’s been sufficient time to reduce headcount. There’s no incentive for a company to slow-roll this process — a drip feed of layoffs drains company morale. There is something else going on."
"It’s the denials that first raised my antennae: “We’re not restructuring because AI is taking away roles,” Alphabet’s Chief Business Officer Philipp Schindler told analysts on the company’s most recent earnings call. That’s the “I gave up gluten” of tech."
And much like Ozempic, serious irreversible negative impacts may not be visible now...but will be felt for many years to come.
As we continue to drive data projects, familiar challenges begin to present themselves. By observing, we can become better diagnosticians of systemic issues. Learn what to avoid and how to navigate them better.
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