Automatically redact PII in images with Amazon Nova
Amazon Nova introduces a multi-step pipeline that uses contextual vision reasoning for the redaction of PII in images, leveraging advanced tools for improved accuracy.
Enterprise & Business AI — Page 28
AI in Finance: How Machine Learning Fights Fraud in Real Time
Fraud detection is one of AI's most mature, high-value uses in finance. Here is how real-time machine learning models catch fraud, the false-positive trade-off, and where humans still fit.
AI in Marketing: Content, Personalization, and the Quality Line
Marketing was among the first business functions to adopt generative AI at scale. Here is where it delivers — content, personalization, analytics — and the quality and brand risks to watch.
Inside the AI Chip Race: Why Compute Became the Real Bottleneck
Modern AI runs on a scarce resource: specialized compute. This feature unpacks why GPUs became the bottleneck, why everyone is building custom chips, and what it means for the balance of power in AI.
AI in Retail: Recommendations, Demand Forecasting, and Inventory
From the recommendations you see online to the stock on the shelf, AI runs much of modern retail. Here is how it is used for recommendations, forecasting, and inventory — and what it takes to work.
AI in Education: Personal Tutors, and the Integrity Question
AI promises every student a patient personal tutor — and hands every student a way to skip the work. Here is where AI genuinely helps in education, and the integrity questions it forces.
AI in Manufacturing: Predictive Maintenance and Quality Inspection
On the factory floor, AI quietly prevents breakdowns and catches defects. Here is how predictive maintenance and computer-vision inspection work, and what deploying them actually requires.
AI in Customer Service: What Works, What Backfires
Customer service was one of the first big enterprise uses of AI. Here is where it genuinely helps, where poorly deployed bots backfire, and what a good rollout looks like.
AI in Healthcare: Promising, Powerful, and Rightly Cautious
AI is already assisting in medical imaging and clinical paperwork, but healthcare's stakes demand caution. Here is where it helps today and why human oversight stays central.