Bayes Alumni Community of Entrepreneurs: AI Innovation 

John Paul, CEO of equitably.ai, shared insights about AI innovation on the panel at the  Bayes Alumni Connect, the Bayes Business School, Alumni Community of Entrepreneurs (BACE). Led by Ruben van Werven,  Senior Lecturer in Entrepreneurship, the initiative aims to provide a structured platform for alumni to exchange experiences, provide mutual advice, and expand their networks. Others on the panel included: Marta Kalas: who successfully co-founded a university spin-out Thomson Screening before launching her current venture, Open CPD and Hader Ali a corporate innovator and BT Group.

Key AI Innovation Insights from Bayes Alumni Connect

The panel explored intersections of technology, including AI innovation. Along with the context and differences in innovating within a large organisation or a startup as an independent venture.

The panel discussed the challenge that large corporations act as excellent business schools, but often find innovation challenging due to rigid, risk-averse cultures.

A key focus of the discussion was balancing risk reduction with innovation and maximising ROI. For instance, Hader Ali shared how an organisation rejected a solution that would have saved £250 million annually simply because it did not align with strategic technology at the time.

A Winning Formula for Aspiring Founders: 

The panellists shared actionable advice on AI innovation and entrepreneurship, stressing that the magic lies in execution:

• Stay relentlessly curious: Continue to learn to become a modern polymath with T-shaped skills. 
• Find your niche: Approach your market with precision rather than prioritising everything at once.
• Master the fundamentals: Use the corporate world to learn basics, but avoid the 9-5 routine.
• Learn to influence: Master rhetoric – pathos, ethos, and logos – to deliver strong investor pitches.

Would you like to know how to balance AI innovation, AI governance, and AI quality? Contact us, and we can share proven frameworks and best practices to help you achieve a risk-adjusted AI return on investment.