Job Stability through Problem Solving with AI, by Chris Tabb
- Mark Miller
- Apr 10
- 2 min read
With over 20 years of experience in the data industry, Chris Tabb has been instrumental in guiding organizations through their data journeys. His expertise spans data architecture, engineering and analytics, making him a sought-after advisor for businesses aiming to harness the full potential of their data assets.
Chris's passion for data is evident in his active participation in the data community. He frequently shares his insights at international conferences and contributes to various industry publications, helping to shape the future of data management and strategy.
Chris's session is streaming live from Edgewater, New Jersey during the 24 hour Artificial (Un)Intelligence Conference. 100+ sessions. No sales pitches, no marketing.
Session Description, Job Stability through Problem Solving with AI
On these #MeanDataStreets, AI is stirring things up faster than you can say "automation anxiety." Software and data engineers everywhere are anxiously watching AI, concerned it'll quickly take over their coding jobs. But if your skills only rely on knowing Python from SQL, you're overlooking your most valuable ability—problem-solving.
Let's get real, problem-solving isn't just about coding languages—it's built on logic, creativity, and strategic thinking. According to Gartner's insightful 2021 report, about 60% of data and analytics projects fail due to unclear objectives, poor management, or ill-defined problems. This means businesses have been losing money faster than they can achieve meaningful returns, causing headaches for executives everywhere.
But here’s the good news, AI isn't here to replace you—it's your new strategic partner. Leveraging AI to speed up problem-solving significantly reduces project failures and enhances returns. Companies have no shortage of problems; their real constraints are limited time, tight budgets, and stretched resources.
Topics covered in this talk include:
The evolving landscape of software and data engineering roles
Why problem-solving skills matter more than coding languages
Leveraging AI as a strategic ally in problem-solving
Historical insights on project failures and financial impact
Practical methods to integrate AI effectively into your workflow
Building long-term career stability through strategic thinking
Stop worrying about being replaced by AI and start showcasing your problem-solving abilities. Embrace your logical strength and strategic mindset, viewing AI as a valuable ally rather than a competitor. This is how you'll stay indispensable and secure on these dynamic #MeanDataStreets.
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