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The Importance of Storytelling in Business Analytics [9/21/2026] (Recording)

The Importance of Storytelling in Business Analytics [9/21/2026] (Recording)

Unlock the power of storytelling in business analytics with our upcoming event! With a background in engineering and statistics from Texas A&M University and hands-on experience at top companies like IBM and Morgan Stanley, I bring a wealth of knowledge in transforming complex data into compelling narratives that drive business decisions. In this session, I will go over two instances where my storytelling ability helped me stand out and how I formulated my approach. This is a highly transferrable skill and one that has helped me secure multiple roles, see you at the event!

Marcos  T.
Marcos T.
Build Your Own Competitive Research Agent

Build Your Own Competitive Research Agent

​SESSION GUIDE: https://www.lelandcourses.com/ai-builder/competitive-research-agent/ Competitive research is the thing you do once, mean to update, and then never touch again until your CEO asks for it on a Tuesday morning. By then it's six months old, and your competitors have shipped three more things. ​In this exclusive AI Builder session, D'Aaron Gonzalez will walk you step by step through building a competitive research agent powered by Claude, one that pulls from public sources, tracks your competitors over time, and keeps the picture fresh without the manual lift. By the end of the hour you'll have a working agent ready to put to work the next morning. ​But the research agent is just the on-ramp. The real takeaway is the playbook: how to turn any "I should keep tabs on this" task into something AI does for you, on a schedule. First competitors. Next industry news, regulatory changes, your customers' product launches, your own pipeline. Same skill, different shape. ​D'Aaron builds with AI for a living. Now he'll do it with you. ​Open exclusively to AI Builder Program members.

Leland Team

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Identifying Key Metrics using AI for Data and Analytics

Identifying Key Metrics using AI for Data and Analytics

Identifying the right metrics is one of the hardest parts of data and analytics, and AI is starting to change how quickly and effectively teams can do it. This session is for professionals who want to use AI to surface, prioritize, and refine the metrics that actually drive decisions. You’ll learn how to leverage AI to identify high-impact KPIs, connect metrics to business outcomes, and avoid common pitfalls that lead to noisy or misleading analysis. Join live to ask questions about your own data challenges and see how an experienced data scientist approaches metric selection in real workflows. The speaker is a current data scientist and engineer at Accenture who regularly works with teams on analytics and AI implementation. They’ll share the patterns they see across strong metric frameworks and the kinds of insights typically discussed in 1:1 working sessions.

Ryan S.
Ryan S.
Example Resume - Revenue Operations and Data Analytics

Example Resume - Revenue Operations and Data Analytics

A MarTech leader's example resume shows how to frame experience in revenue ops/data analytics to grow your career.

Tarun A.

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