International Services Week
June 22-26, 2026 | #ServicesWeek
2026 Theme:
Accelerating with AI.
Leading with Judgment.
Professional services is entering its most consequential period of transformation. AI has moved deep into the work itself, compressing timelines, absorbing intelligence-heavy tasks, and fundamentally changing what it means to deliver services at scale.
The firms pulling ahead share two defining characteristics: they have built the operational foundations to harness AI as an engine of speed, scale, and efficiency, and they have doubled down on the human expertise, ethical leadership, and strategic clarity that define the most durable client relationships.
Accelerating with AI, Leading with Judgment: An IDC Perspective on the Future of Professional Services
Featuring Mickey North Rizza, Group Vice President at IDC
AI adoption in professional services is near-universal. Business results are not. In this keynote webinar, IDC Group Vice President Mickey North Rizza draws on fresh research to examine why the gap exists, how agentic AI is rewriting the core performance levers of services businesses, and what leaders need to do — architecturally and organizationally — to close it.
Wednesday, June 24 from 11am-12pm ET
Registration opens soon!
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Industry Perspectives
How the AI Revolution is Rewriting Professional Services
The traditional model of billing for time and expertise is changing. With AI-mature firms posting 50% higher revenue per consultant, Certinia CEO DJ Paoni explores how leaders can deploy AI for intelligence-heavy work while positioning human judgment where it matters most.
Industry Report
SPI Research: The Impact of AI on Professional Services
This study of 146 global organizations reveals how high-performing firms actually scale AI pilots into measurable performance. Learn which use cases leaders are prioritizing and how to move beyond the hype cycle to achieve data-driven results.
Industry Perspectives
The hidden tax of “Franken-stacks” that sabotages AI strategies
AI agents often fail because they are layered on top of fragmented "Franken-stacks" that lack business context. Raju Malhotra explains how a platform-native architecture provides the unified data model AI needs to reason accurately and in real time.ing AI agents a complete, real-time view of operations without translation layers or sync delays.
