100% of executive leadership discussions involve AI strategy, value creation and headcount reductions for potential cost savings. AI is decoupling revenue from headcount. Here we present the Gartner position on job loss, headcount analysis, layoffs and business value creation. Using real life examples we will review the impact on business processes, skills based analysis, business value and costs.
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Speaker
Frances Karamouzis
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talks
Frances Karamouzis is a Distinguished VP Analyst in Gartner's Business and Technology Insights focusing on Artificial Intelligence, GenAI and Agentic AI. Ms Karamouzis was the Gartner analyst who coined the term "Hyperautomation" and first published it in 2014. She is focused on research that addresses strategy, value creation, use cases, business cases and disruptive trends. She focus on "applied" research by showcasing how to practically apply Gartner frameworks. She helps clients architect their AI, GenAI and Agentic AI Portfolio (How to Vet, Prioritize and Fund) Use Cases.
Ms. Karamouzis has appeared and/or contributed to reports showcased on 60 Minutes, Wall Street Journal, NY Times, CNN, CNBC, PBS, CIO Magazine and the Council for Foreign Relations.
Ms. Karamouzis earned a bachelor's degree in International Business and Accounting from New York University. She has also completed her M.B.A. in Finance at New York University.
Bio from: gartner-data-analytics-us-2026
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Productivity of knowledge workers is not a path to financial value. Process recalibration is a prerequisite to value creation. True, sustainable value is trapped behind legacy processes, outdated team structures and the business driven transition approach. This session provides insights to understanding practical approaches of unlock the ROI and how to lead teams through the transition.
AI spending continues unabated and so is the pressure on leaders. CIOs need to demonstrate the value of AI. CFOs need to calculate it. The c-suite needs to collaborate to create real value. Here we present Gartner's framework for a rigorous, repeatable approach to financial operations (FinOps) of AI initiatives. The focus is on the economics of business value, cost and risk of AI, GenAI and agentic AI.