Field notes on AI in business
Practical writing on AI, automation and the day-to-day work of running a business. From the team that builds and runs AI systems.
Manufacturing
AI for Raw Material Price Prediction: Planning Purchases 90 Days Ahead
Machine learning models that analyze commodity futures, supply chain data, and economic indicators can forecast material costs 90 days out with useful accuracy.
Basel IsmailApr 2, 2026
Manufacturing
Demand Forecasting for Make-to-Order Manufacturers Using Machine Learning
ML demand forecasting helps make-to-order shops predict order patterns 60-90 days out, improving capacity planning and material procurement.
Basel IsmailApr 2, 2026
Manufacturing
How AI Measures Dimensional Accuracy in Machined Parts Without Manual Gauging
AI-powered 3D scanning and vision systems measure critical dimensions on machined parts inline, reducing CMM bottlenecks by up to 80%.
Basel IsmailApr 2, 2026
Manufacturing
Automated Visual Inspection for Food Packaging: Catching Label Errors and Seal Failures
Computer vision systems on food packaging lines catch mislabeled allergens, skewed labels, and incomplete seals at speeds of 400 packages per minute.
Basel IsmailApr 2, 2026
Manufacturing
AI Quality Inspection for PCB Assembly: Finding Solder Defects at 200 Units Per Minute
Deep learning models trained on millions of solder joint images now catch bridging, cold joints, and tombstoning faster than traditional AOI.
Basel IsmailApr 2, 2026
Manufacturing
How Computer Vision Catches Paint Defects That Human Inspectors Miss
AI vision systems detect subtle paint flaws like orange peel, fish eyes, and color drift at line speeds human inspectors cannot sustain.
Basel IsmailApr 2, 2026
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Manufacturing
AI for Hydraulic Press Monitoring: Pressure Anomaly Detection in Real Time
ML models analyzing hydraulic pressure waveforms detect valve degradation, seal leaks, and pump cavitation before they cause press failures.
Basel IsmailApr 2, 2026
Healthcare
Automated Appointment Reminders That Actually Reduce No-Shows by 38%
Multi-channel, behaviorally-timed appointment reminders cut no-show rates when they match patient communication preferences and include confirm options.
Basel IsmailApr 2, 2026
Healthcare
How AI Handles Explanation of Benefits Reconciliation at Scale
AI EOB reconciliation matches remittance data to claims automatically, catching underpayments and posting errors that manual processes miss.
Basel IsmailApr 2, 2026
Healthcare
HIPAA-Compliant AI: What Healthcare Operations Teams Need to Know
Deploying AI in healthcare operations requires specific safeguards for PHI. Here is what compliance officers should evaluate before signing a vendor contract.
Basel IsmailApr 2, 2026
Law firms
Client Intake Automation for Law Firms: From Website Visit to Signed Retainer
The client intake process at most law firms is slow, manual, and full of friction. Automation compresses the timeline from days to hours while capturing better information.
Basel IsmailApr 2, 2026
Healthcare
Automating Referral Management So Patients Stop Falling Through the Cracks
Automated referral tracking closes the loop between referring and receiving providers, reducing the 30% of referrals that never complete.
Basel IsmailApr 2, 2026
1,319 articles