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Resources

17 total
Blog

ServiceNow Agentic AI: What 89% Pilots Miss Before Production?

Gartner projects 40% of enterprise applications will embed task-specific AI agents by the end of 2026. The architectural shift toward autonomous systems is accelerating…

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Webinar / Event

Webinar: AI Deployment in Regulated Industries — Patterns That Pass Audit

AI deployments in regulated industries face unique challenges. This webinar covers patterns that satisfy regulators + deliver value.

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32% CHANGE
Case Study

Sporting Goods Retailer: ML-Driven Inventory Allocation

A sporting goods retailer rebuilt inventory allocation with ML across 180 stores. Stockout-driven lost sales down 32%; markdowns down 18%.

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47% CHANGE
Case Study

Health Network: NLP for Clinical-Note Synthesis

A health network deployed NLP to synthesize clinical notes for care-coordination summaries. Care-coordination cycle compressed 47%.

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Blog

Predictive Maintenance Patterns That Actually Work

Predictive maintenance pilots are everywhere. Production deployments are rare. Three patterns that scale.

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Webinar / Event

Webinar: NLP for the Enterprise — Beyond Demos

Practical NLP patterns for enterprise deployment — contract analysis, customer-feedback synthesis, regulatory-document processing.

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Webinar / Event

Webinar: Computer Vision in Industrial Settings — Beyond the Pilot

Production patterns for computer vision in manufacturing, retail, and logistics. Pilot-to-scale patterns from real deployments.

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78% BEFORE 96% AFTER
Case Study

Industrial Manufacturer: Computer Vision for Quality Inspection

An industrial manufacturer deployed computer-vision quality inspection on 12 high-volume production lines. Defect-detection rate up from 78% to 96%.

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240 KEY METRIC
Case Study

Retailer: Computer Vision Store Analytics — Footfall + Conversion

A specialty retailer deployed computer-vision store analytics across 240 locations. Footfall + conversion data drives merchandising decisions.

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6 weeks BEFORE 3 days AFTER
Case Study

Fintech: MLOps Platform for Real-Time Fraud Model Lifecycle

A fintech built an MLOps platform managing 14 fraud-detection models in production. Model deployment time: 6 weeks → 3 days; drift detection…

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