The Learning Curve by KNOLSKAPE

KNOLSKAPE

A podcast dedicated to exploring the evolving landscape of work, the worker, and the workplace. As disruption reshapes these core elements, leaders must focus on Futurizing, Personalizing, and Humanizing their strategies. Join us for insightful conversations with global HR, L&D, and innovation leaders as they share their successes, challenges, and forward-thinking strategies. Whether you’re a business leader, L&D professional, or passionate about personal and organizational development, this podcast will provide you with the knowledge and inspiration you need to navigate the complexities of

  1. Sep 9

    EP. 34 | Beyond AI Tools: What L&D Must Learn for the Agentic Era ft. Dr. Ashwin Mehta

    AI is changing more than the way organizations create content. It is changing how work is structured, how decisions are made and how people learn in the flow of work.In this episode of The Learning Curve podcast, Saood Kidwai speaks with Dr. Ashwin Mehta, Founder and CEO of Methodology, about what it really means for organizations and learning teams to prepare for the agentic era. The conversation examines why AI pilots stall, why buying more tools does not automatically create transformation, and why learning and development teams need to move beyond content production towards systems thinking, data literacy, orchestration and measurable business impact. Dr. Ashwin also explains the difference between AI readiness and agentic readiness, the role of strategy, governance, data quality and culture, and why organizations must begin with a clearly defined business problem rather than a shiny new technology. The discussion also challenges some familiar assumptions about L&D, including the continued dependence on static content, legacy platforms and completion rates as indicators of learning impact. Chapters 00:00:00 Introduction to AI's impact on learning and work 00:02:14 Who is Dr. Ashwin Mehta and his expertise 00:04:01 Common questions about AI from clients 00:05:24 The human side of AI transformation 00:09:10 Resistance to AI among managers, employees, and L&D teams 00:14:31 Preparing organizations for the agentic era 00:21:53 Ensuring purpose-led AI initiatives tied to business strategy 00:26:37 Building or buying AI solutions: critical factors for mid-market organizations 00:31:43 Data readiness and the single source of truth 00:36:36 Governance, risks, and ethical boundaries in AI 00:38:29 Essential AI and data literacy for L&D teams 00:40:28 Closing thoughts and key takeaways

    EP. 34 | Beyond AI Tools: What L&D Must Learn for the Agentic Era ft. Dr. Ashwin Mehta
  2. Jul 6

    EP. 33 | The AI Readiness Playbook Every Business Leader Needs ft. Dr. Semih Kumluk

    AI has moved beyond experimentation. Today, leadership teams are making decisions about governance, workforce capability, operating models, and long-term business strategy while the technology continues to evolve at an unprecedented pace.In this episode of The Learning Curve podcast, Manu Nanda (President - India, Middle East, and Global Partnerships at KNOLSKAPE) sits down with Dr. Semih Kumluk, Futurist, AI Leader, Digital Transformation Expert, and Head of Enterprise Transformation & AI Capability Building at PwC Middle East. Drawing on his experience helping organizations navigate enterprise-wide AI transformation, Dr. Kumluk shares a practical perspective on what it takes to build lasting AI capability across an organization.The discussion explores where organizations should begin their AI journey, why leadership plays a defining role in successful transformation, and how capability building should evolve across different functions and levels of the workforce. The conversation also looks at the rise of AI agents, the role of AI champions and Centers of Excellence, measuring the effectiveness of AI upskilling, and the leadership qualities needed to guide organizations through continuous technological change.Key Takeaways • Where organizations should begin their AI transformation journey • How leadership shapes enterprise-wide AI adoption • Why AI capability should be tailored to different roles across the business • The purpose of AI champions and Centers of Excellence • How AI agents are changing the way work gets done • Better ways to measure the effectiveness of AI upskilling initiatives • What the Middle East is doing differently to accelerate AI adoption • The leadership skills organizations will need as AI becomes part of everyday workWhether you're a business leader, HR professional, L&D practitioner, or leading digital transformation initiatives, this conversation offers a grounded look at the decisions organizations are making today to build sustainable AI capability for the years ahead. Subscribe for more conversations with leaders shaping the future of work, leadership, learning, and organizational performance.Chapters00:00:00 The Central Role of AI in Business Strategy00:05:46 Understanding AI Misconceptions and Bottlenecks00:11:50 Upskilling for AI: Starting with Leadership00:17:46 Customizing AI Literacy Across Roles00:24:05 The Future of AI Agents in Business00:29:51 Measuring the Impact of AI Upskilling00:36:01 The Future of Work: Human and AI Collaboration

    EP. 33 | The AI Readiness Playbook Every Business Leader Needs ft. Dr. Semih Kumluk
  3. Jun 16

    EP. 32 | AI & the Non-Negotiable Leadership Skill ft. Dr. Alison Maitland

    Leadership development has spent years teaching leaders what to do. The harder question is whether they can still do it when pressure, fear, uncertainty, and discomfort enter the room.In this episode of The Learning Curve podcast, Jason Smith is in conversation with Dr. Alison Maitland, Health and Care Professions Council registered psychologist, executive coach, Co-founder of Becoming International, and co-author of Drop the Struggle.From psychological flexibility and vertical development to the limits of resilience, adaptability, and psychological safety, Alison challenges the idea that leaders need to be fixed. What they need is the capacity to notice what is happening within them, make room for difficult thoughts and emotions, and still choose action that is aligned with what matters.She breaks down why most leadership programs fail to create real change, how psychological flexibility helps leaders navigate ambiguity, conflict, AI adoption, and high-pressure decisions, and why the future of leadership will depend less on knowing the right answer and more on staying steady when there isn’t one.If you care about building leaders who can think clearly, act deliberately, and move with change instead of being consumed by it, this conversation is for you.Chapters00:00:00 Introduction to Psychological Flexibility00:07:17 The Need for Psychological Flexibility in Leadership00:10:16 Understanding Psychological Flexibility00:17:06 Vertical Development and Psychological Flexibility00:21:05 The Impact of Psychological Inflexibility00:27:01 Self-Reflection and Leadership Awareness00:29:39 Organizational Costs of Inflexibility00:31:58 Triggers of Inflexibility in Organizations00:32:36 Dimensions of Psychological Flexibility00:37:36 Noticing and Self-Awareness in Flexibility00:39:24 Psychological Safety vs. Psychological Flexibility00:44:36 AI and Psychological Flexibility in the Workplace00:49:29 Practical Steps to Build Psychological Flexibility00:52:36 Common Traps in Psychological Flexibility

    EP. 32 | AI & the Non-Negotiable Leadership Skill ft. Dr. Alison Maitland
  4. May 28

    EP. 31 | The Capability Gap AI Won’t Solve ft. Vince Jeong

    In a world where AI can generate endless content, what actually builds capability?This episode of 'The Learning Curve' podcast features Dr. Ritwik Mishra in conversation with Vince Jeong, CEO of Sparkwise.From immigrant roots to McKinsey to building Sparkwise, Vince shares why professional learning needs to move beyond passive content consumption and into practice, reflection, application, and social accountability. He breaks down why AI-powered performance support is not the same as capability building, why small-group learning creates stronger engagement and behavior change, and why most organizations still struggle to connect learning to real workplace application.The conversation also explores AI adoption, workflow redesign, critical thinking, measurement, human capabilities, and why leaders need more imagination if they want AI to create value beyond efficiency.If you care about the future of workplace learning, this episode will challenge how you think about content, capability, and what it really takes to help people perform.Chapters00:00:00 Introduction to Active Learning Models00:11:00 The Multiplayer Learning Model00:22:43 AI's Role in Learning and Development00:25:23 Workflow Redesign and Organizational Barriers00:27:10 AI Adoption Challenges and Change Management00:28:56 Balancing Technology and Human Capabilities00:31:15 Defining Standards of Excellence in Work00:35:00 Bridging Learning and Real-Life Application00:39:01 The Job of Learning and Organizational Barriers00:42:33 Addressing Employee Fears Around AI00:47:20 The Role of Imagination in AI Integration

    EP. 31 | The Capability Gap AI Won’t Solve ft. Vince Jeong

About

A podcast dedicated to exploring the evolving landscape of work, the worker, and the workplace. As disruption reshapes these core elements, leaders must focus on Futurizing, Personalizing, and Humanizing their strategies. Join us for insightful conversations with global HR, L&D, and innovation leaders as they share their successes, challenges, and forward-thinking strategies. Whether you’re a business leader, L&D professional, or passionate about personal and organizational development, this podcast will provide you with the knowledge and inspiration you need to navigate the complexities of