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Stay ahead in the world of AI
At Pento, we share perspectives, case studies, and insights on artificial intelligence and machine learning for enterprises.
How We Co-Built miniCOIL EN-ES with Qdrant
Search is one of Pento's core practices. Training our team in AI-powered search led us to co-build miniCOIL EN-ES with Qdrant, a sparse retriever that matches English and Spanish in a single index.
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
How We Co-Built miniCOIL EN-ES with Qdrant
ACP vs UCP: Which Agentic Commerce Protocol Should You Build For in 2026?
From Agent Harnesses to Software Factories
Clustering Algorithms Compared: How to Choose the Right One
Shipping AI Agents to Production: A 2026 Context Engineering Recipe Book
Agentic Commerce in 2026: How to Win the Agentic Shift
Article archive
Every article we have published, newest first.
- How We Co-Built miniCOIL EN-ES with QdrantAI & Machine Learning
- 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 Compared: How to Choose the Right OneAI & Machine Learning
- Shipping AI Agents to Production: A 2026 Context Engineering Recipe BookGenerative AI
- Agentic Commerce 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
- BFCM 2026: 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
- 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
- Taking advantage of unlabeled data and image embeddingsComputer Vision
- MLOps Best Practices: How to Structure Your Python ML ProjectsMachine 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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