KIMRA CONVERSATIONS

Simon Burton

Every year, KIMRA brings together the people shaping the future of knowledge, information management, research and analysis — the practitioners running transformation inside their organisations, the suppliers building the tools, and the analysts making sense of it all. The KIMRA Conversations Podcast takes that same community and keeps the conversation going all year round. Expect candid interviews and case studies on: How research and knowledge functions are actually building AI strategies that work — not just experimentingReal transformation stories from law firms, consultancies and professional services, told by the people who led themThe vendor and client sides of major AI implementations, side by sideWhat's really happening with data procurement, vendor consolidation, and pricing in the AI eraHow the research and knowledge professions themselves are evolving — and what it means for skills and careersSame community. Same sharp thinking. Now on demand.

Episodes

  1. 6d ago

    KIMRA Conversations, Episode 5: Maribeth Martorana, Sapient Advisors

    Maribeth Martorana has spent her career on the inside of some of the biggest names in financial information, FactSet, Moody's Analytics and the CFA Institute, before founding Sapient Advisors to help financial data and information businesses build and invest more wisely. In this episode, she talks to Simon Burton about her career path, and what she's seeing right now across the industry as firms rush to invest in AI. The conversation with Maribeth Martorana covers the challenges and successes of AI projects within information services businesses, focusing on mid-market firms. It delves into the importance of aligning business strategy, people, and processes before implementing AI solutions. The discussion also highlights the critical role of data quality and the need for strategic AI initiatives. The conversation delves into the impact of AI on information providers, the challenges of budgeting for AI solutions, the dynamics of data feed pricing, and the transformation of workflow solutions. It also explores the implications of AI investments for incumbent platform leaders and the need for operational efficiencies and upskilling. Takeaways Business strategy, people, and processes must be aligned before implementing AI solutions.Data quality is crucial for the success of AI projects.Strategic AI initiatives require clear business outcomes and executive sponsorship. AI's impact on information providersChallenges of budgeting for AI solutionsTransformation of workflow solutionsImplications of AI investments for incumbent platform leadersNeed for operational efficiencies and upskilling Chapters 00:00 Introduction and Business Transformation03:10 Challenges of Mid-Market Companies05:53 AI Implementation and Business Strategy07:23 The Role of Data and Workflows13:13 The Company Brain and Data Protection17:11 AI Project Failures and Success Factors22:01 Strategic AI Initiatives and Return on Investment24:02 Project Governance and Decision-Making27:13 AI's Impact on Information Providers28:29 Challenges of Budgeting for AI Solutions40:43 Transformation of Workflow Solutions47:27 Implications of AI Investments for Incumbent Platform Leaders

About

Every year, KIMRA brings together the people shaping the future of knowledge, information management, research and analysis — the practitioners running transformation inside their organisations, the suppliers building the tools, and the analysts making sense of it all. The KIMRA Conversations Podcast takes that same community and keeps the conversation going all year round. Expect candid interviews and case studies on: How research and knowledge functions are actually building AI strategies that work — not just experimentingReal transformation stories from law firms, consultancies and professional services, told by the people who led themThe vendor and client sides of major AI implementations, side by sideWhat's really happening with data procurement, vendor consolidation, and pricing in the AI eraHow the research and knowledge professions themselves are evolving — and what it means for skills and careersSame community. Same sharp thinking. Now on demand.