France •
$5,000 - $10,000
About
Documented AI ROI expert. 200+ projects. Field data beats theory every time.
AI ROI: From Hype to Measurable Results
Most AI projects fail to deliver promised value. This keynote reveals why, using data from 200 documented B2B deployments. Discover the counterintuitive truth: small budgets achieve 2.1× higher ROI than large investments, Human-in-the-Loop governance reduces incidents by 4.3×, and training investment is the #1 ROI multiplier. Attendees learn a practical 30-day framework from diagnostic to positive ROI, backed by empirical evidence from retail, manufacturing, and finance sectors. Perfect for C-level executives and business leaders seeking data-driven AI strategies.
Why 73% of AI Projects Fail (And How to Avoid It)
Industry reports show 73% of AI projects fail to deliver business value. This presentation analyzes failure patterns from 39 documented failed projects, revealing root causes: wrong use cases (38%), lack of executive sponsorship (24%), tool-first thinking (19%), and poor change management (12%). Learn the 5 critical success factors that separate winners from losers, including governance models, budget allocation strategies, and training investment ratios. Includes real failure stories and corrected approaches that achieved 240%+ ROI.
Human-in-the-Loop: The Missing Link in AI Success
Most AI projects die in "pilot purgatory." This presentation reveals a proven framework: 72-hour diagnostic, 3-week POC, 30-day deployment to positive ROI. Learn how rapid deployment (under 6 weeks) achieves 398% median ROI vs. 245% for lengthy implementations. Covers quick-win use cases (content, lead scoring), budget optimization, stakeholder management, and avoiding scope creep. Based on 200 documented B2B deployments across 10 sectors. Attendees leave with actionable checklists and ROI calculation templates.
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