Strategy for Tech Professionals
The fundamentals of strategic thinking for tech professionals. Turn strong analysis into recommendations leadership can understand, evaluate, and act on. Better reasoning = more influence.
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Thu Aug 27·4:00 PM UTC
How to Build Strategic Judgment in Analytics
Pulling data and building reports used to be the job. Today, AI has commoditized routine reporting, leaving many data professionals feeling like they're operating in a vacuum - shipping work into the void without seeing its business impact. This session provides a clear path to reframe your technical skills, step out of the order-taker trap, and lead with strategic insights.
You'll learn from
Seth Forbes
Ex-Senior Analyst @ Quickbase
Thu Sep 24·4:00 PM UTC
Why Great Data Recommendations Fail (& What to Do Instead)
One of the most difficult feats for data professionals to accomplish is getting great ideas across the finish line. The data team speaks one language, while non-technical stakeholders speak another. Competing priorities make it hard for data folks to ground their analysis in business-relevant stories that drive change. Let's diagnose the reasons why this happens so we can pave the path to better business decisions.
You'll learn from
Seth Forbes
Ex-Senior Analyst @ Quickbase | MBA @ Boston University
Thu Oct 8·4:00 PM UTC
Land with Executives: Roadmap to ROI for Data Professionals
Leadership is asking harder value questions. BARC says top management wants to know where the return on data and AI is, and justifying projects by technology alone no longer works. An Australian survey of 160+ data and AI leaders found over 40% now require a formal business case. For senior data professionals, stating business value in an executive's terms increasingly decides whether their work is seen as strategic or as a cost.
You'll learn from
Seth Forbes
Ex-Senior Analyst @ Quickbase | MBA @ Boston University
Tue Oct 13·4:00 PM UTC
AI Can Draft the Work. Can You Defend It?
AI is drafting more of the analysis, but the numbers show a widening gap. Alteryx's 2026 IT Leader Research found 53% of organizations struggle to translate business context into AI systems, even as 80% plan to increase AI spending. A separate Alteryx report found analysts now spend up to 6 hours a week correcting AI outputs. The bottleneck isn't AI's output — it's whether anyone catches what it misses before a decision gets made.
You'll learn from
Seth Forbes
Ex-Senior Analyst @ Quickbase | MBA @ Boston University