Enterprise Signals

Adrienne Schulman, co-founder of Tenger Ways, discusses the evolution of technology, the role of IT leadership in transformation, and the cultural shift in IT and engineering thinking. She emphasizes the importance of creating a culture of innovation and risk-taking, measuring success with a customer focus, and incentivizing innovation and risk-taking. Additionally, she highlights the value of trying new things, the impact of relationships and trust, and the role of tools in organizational transformation. The conversation covers a range of topics including legacy applications and data, tools and change management, change adaptability and AI, culture of experimentation, guardrails and continuous planning, iterative model and systems thinking, AI documentation and institutional knowledge, continuous everything and business transformation, and relationship skills and human connection. The speakers discuss the importance of historical knowledge, building relationships, change management, experimentation, and the role of AI in simplifying and transforming business processes. They also emphasize the value of human connection and the role of AI in enhancing it.TakeawaysCreating a culture of innovation and risk-taking is essential for IT and engineering teams.Measuring success with a customer focus and incentivizing innovation and risk-taking are key to driving organizational transformation. The importance of historical knowledge and relationships within an enterpriseThe value of continuous planning, implementation, and deliveryChapters00:00 Introduction to Adrienne's Career07:20 The Role of IT Leadership in Transformation13:35 FOMO and FOBO in the Mid-Market Space19:29 The Value of Trying New Things26:38 The Role of Tools in Organizational Transformation34:49 Tools and Change Management40:42 Guardrails and Continuous Planning47:36 AI Documentation and Institutional Knowledge53:32 Continuous Everything and Business Transformation

The conversation covers a range of topics, including the importance of a multivariate background, understanding the language of the organization, balancing quick wins with long-term work, defining worthy projects and speaking CFO, time value of money and ROI challenges, balancing quick AI wins with long-term data governance and change management, customer impact, efficiency, and revenue as project criteria, and lessons learned from working with PE firms. The conversation delves into the strategic investment in AI, the importance of defending points of view, evaluating AI initiatives, shielding from polished vendor traps, earning a seat at the table, and coaching and understanding business seasons. Key takeaways include the significance of speaking CFO, building trust, and strategic IT leadership in the context of AI projects and IT leadership roles.TakeawaysMultivariate backgroundUnderstanding the language of other parts of the organizationBalancing quick wins with long-term workCustomer impact, efficiency, and revenue as project criteriaModeling behavior for othersNuances of speaking to a PE firm Speaking CFOBuilding TrustStrategic IT LeadershipChapters00:00 Lessons Learned from Working with PE Firms34:34 Strategic Investment in AI40:08 Shielding from Polished Vendor Traps51:23 Earning a Seat at the Table01:02:09 Coaching and Understanding Business Seasons

Ricky Koenig, a CIO with extensive IT experience, discusses the importance of human involvement in technology, the challenges of AI implementation, and the significance of data readiness and governance for AI evolution. He shares his experience with IBM Watson and AI failures, highlighting the impact of Central European corporate culture on AI decision-making. The conversation delves into the critical themes of the role in the loop, misconceptions about AI roles, role evolution and organizational readiness, the shiny object problem, and leadership, human-centric approach, and organizational mindset. It emphasizes the importance of the right role at the right time, problem-centric approach, and the need for new blood and new ideas. Additionally, it highlights the danger of shiny object syndrome and the impact of organizational mindset on innovations.TakeawaysHuman involvement is crucial in technology projectsData readiness and governance are essential for successful AI evolution The importance of problem-centric approach in AI implementationThe need for celebrating small wins and the danger of shiny object syndromeChapters00:00 Introduction to Ricky Koenig05:41 Benefits and Misunderstandings of HCI and HIDL13:47 The Significance of Innovation Maturity18:54 The Impact of Idea Management on Innovation25:14 The Role of Innovation Maturity in AI Readiness35:19 Experience with IBM Watson and AI Failures42:14 The Impact of Central European Corporate Culture on AI Decision-Making55:28 Misconceptions About AI Roles01:01:34 Role Evolution and Organizational Readiness01:12:37 The Shiny Object Problem

The conversation covers the evolution of the CIO role, emphasizing the shift from a service-oriented mandate to that of an advisor and strategic partner. It also highlights the importance of empathy in leadership, the challenges of AI implementation, and the talent gap in organizations. Additionally, it explores the building of a subject matter expertise team and the leadership skills required for the future CIO role. The conversation delves into the transition of CIOs to CEOs, the reasons behind AI project failures, success factors for AI projects, and the mid-market AI talent myth. It also explores the impact of AI on job roles and the importance of practical solutions over technology hype. The discussion emphasizes the need for a shift in mindset from technology solutions to problem-solving and the role of functional and institutional knowledge in AI projects.TakeawaysEvolution of the CIO roleImportance of empathy in leadership CIOs transitioning to CEOsAI project failuresLeadership challenges in AI projectsThe impact of AI on job rolesChapters00:00 Introduction and Career Background05:29 The Role of Empathy in Leadership20:19 AI Implementation and Talent Gap30:02 Leadership Skills and Future CIO Role35:38 CIOs Transitioning to CEOs41:00 Success Factors for AI Projects