Every tech company wants to tell you what their AI can do. Patterns help us make sense of the world and can help us overcome the impossible tasks we face each day in supply chain orchestration. From understanding gaps and influences, AI creates more intelligence in how to detect, understand, and pull parts of the patterns together that build an ecosystem.
Through the lens of business transformation, a common challenge for many is knowing what levers to pull strategically, reinventing portions of their business in a digital way. The biggest issue is not tech, it's the lack of skill and culture needed to scale disruptive change. I chatted with Jennifer Byrne, digital evangelist and former Microsoft CTO (US) to explore crossing the chasm to accelerate AI strategy in the future of work. Learn from Jennifer as she shares her experience leading, developing, and executing vertical industry and go-to-market strategies, while managing global alliances and partner ecosystems.
Scaling disruptive change is a complex problem and 1,000 little problems or “system breaks”. There are a class of human problems and business problems. On the human side, it’s hard to get people to learn and make folks more technical. Most leaders don’t really know how to translate change, getting people to understand why, then how, and when. In this Episode, we explore the keys to accelerating your success in AI Digital transformation, the future of work and AI, patterns in change management that can be applied to solve supply chain/human/and business problems, and key tips that have helped Jennifer in her journey as a woman in STEM for career advancement, and positioning herself for leadership roles.
One of the podcast listeners, Tim Judge, summarizes the episode key takeaways below.
- Covid has shown the lack of real time visibility to insights about what is going on around the world especially in developing regions.
- Supply Chains are not run on laptops. (I would add that excel is not a data warehouse, powerpoint is not a deliverable.
- Jennifer Byrne does a great job of describing that a companies AI journey needs to entail two parallel tasks of: =>Automating IT processes/technology infrastructure =>BHAG (ala Jim Collins) - experimenting with what AI can do. It is less about the outcome and more about the process by which you learn. (I would add companies need to do a better job planning what to do if the experiments/BHAGs (Big Hairy Audacious Goals) prove value or true. How do we then incorporate successes back into our standard IT infrastructure/technology roadmap? I see a lot of great AI run on laptops or shadow IT in the cloud.)
- Business needs to be predictable. Companies outside of Tech sector don't have permission to invest in innovation.
- Change Management is hard and requires its own set of skills.
How are companies successfully in using AI to build this future of work Utopia? What are Jennifer's hard-earned lessons in her career journey from non-profit management to technology?
Listen to Supply Chain Revolution® episode 42 here
To learn more about Jennifer Bryne, visit https://www.linkedin.com/in/jennifer-byrne-talks/
Find us, connect, and explore at https://www.supplychainrevolution.com/ & https://www.supplychainqueen.com
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