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At Pento, we share perspectives, case studies, and insights on artificial intelligence and machine learning for enterprises.
ACP vs UCP: Which Agentic Commerce Protocol Should You Build For in 2026?
OpenAI's ACP and Google's UCP both promise agent-led shopping, but they solve different problems. What each protocol does, where it runs today, and how to sequence the work on Shopify or a custom stack.
Computer Vision in Production
A closer look at how computer vision moves from experimentation into real operational systems across retail, logistics, and manufacturing.
Object detection: An overview with code examples
Learn what object detection is and how it has evolved. Take a look at some of the most common and practical use cases. Code included.
Computer Vision in Manufacturing: The 4th Industrial Revolution
Computer Vision is revolutionizing Manufacturing. Learn how it is powering the next generation of manufacturers and establishing the 4IR.
Computer vision in retail: Top 7 applications that are transforming the industry
The future of retail is here with Computer Vision. Learn how retailers use it to improve shopping experiences, manage stock and more.
Explore all articles
ACP vs UCP: Which Agentic Commerce Protocol Should You Build For in 2026?
From Agent Harnesses to Software Factories
Clustering Algorithms: How to Choose the Right One
Shipping AI Agents to Production: A 2026 Context Engineering Recipe Book
AI in Ecommerce in 2026: How to Win the Agentic Shift
From Research Paper to Production with the AlphaXiv MCP: Closing the Research-Implementation Gap
Article archive
Every article we have published, newest first.
- ACP vs UCP: Which Agentic Commerce Protocol Should You Build For in 2026?AI in business
- From Agent Harnesses to Software FactoriesGenerative AI
- Clustering Algorithms: How to Choose the Right OneAI & Machine Learning
- Shipping AI Agents to Production: A 2026 Context Engineering Recipe BookGenerative AI
- AI in Ecommerce in 2026: How to Win the Agentic ShiftAI in business
- From Research Paper to Production with the AlphaXiv MCP: Closing the Research-Implementation GapAI & Machine Learning
- How We Improved Demand Forecasting Accuracy by 25% Using AIAI in business
- A Year of MCP: From Internal Experiment to Industry StandardGenerative AI
- How Retailers Use AI to Prevent Stockouts, Search Failures & Lost SalesAI in business
- How Pento Modeled Aesthetic Taste with QdrantAI & Machine Learning
- Semantic Search: Revolutionizing Ecommerce Sales Conversion with Cost-Efficiency and Metadata-Free AdvantagesAI in business
- Computer Vision in e-commerce: 5 ways it is transforming online shoppingBusiness Intelligence
- Object detection: An overview with code examplesComputer Vision
- Our top learnings from Computer Vision 2022Computer Vision
- Welcome, Vectory: Handle embedding experiments faster and smarterComputer Vision
- PyTorch Metric Learning: An opinionated reviewMachine Learning
- Enhancing Image Quality with Visual AI: How does it work?Computer Vision
- Computer Vision in Manufacturing: The 4th Industrial RevolutionComputer Vision
- Computer vision in retail: Top 7 applications that are transforming the industryBusiness Intelligence
- Pytorch metric learning, Part II: Analyzing embeddings with VectoryMachine Learning
- Our top computer vision learnings from 2021Computer Vision
- Taking advantage of unlabeled data and image embeddingsComputer Vision
- Structuring your Python machine learning projects: An opinionated reviewMachine Learning
- Bootstrap your own Handler: How and why to create custom handlers for PyTorch's TorchServeComputer Vision
- Scaling Computer Vision models with DataflowComputer Vision
- Terran's face recognition meets Streamlit ComponentsComputer Vision
- Introducing Terran: A human perception libraryComputer Vision
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