Data Lakes: Storing Raw Frames & Insights Side-by-Side
Oleg Tagobitsky Oleg Tagobitsky

Data Lakes: Storing Raw Frames & Insights Side-by-Side

Storing raw images and their insights in one data platform is no longer a luxury — it’s a competitive edge. Lakehouse architectures now make it possible to ingest JPEGs and JSON outputs from computer vision APIs into the same environment, enabling seamless SQL queries across pixels and business KPIs. From retail analytics to compliance reporting, this blog explores how to structure, govern and optimize a lake-native image strategy — unlocking visual data’s full potential while controlling costs.

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Low-Code Portals: Vision APIs on Power Apps
Oleg Tagobitsky Oleg Tagobitsky

Low-Code Portals: Vision APIs on Power Apps

Low-code platforms like Power Apps are redefining how businesses build applications — and with the integration of vision APIs, even citizen developers can now add powerful object detection, OCR and image analysis features in hours. This post explores how to connect external computer vision services, create dynamic visual workflows and implement enterprise-grade guardrails for security and cost control. Discover how to turn everyday photos into real-time insights without writing traditional code.

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RPA Bots with Eyes: Vision APIs in UiPath
Oleg Tagobitsky Oleg Tagobitsky

RPA Bots with Eyes: Vision APIs in UiPath

RPA is no longer blind. With the rise of Vision APIs, UiPath bots can now read invoices, recognize faces and extract insights from screens once off-limits to automation. This post explores how image recognition — via OCR, object detection and visual classification — turns standard workflows into perceptive, adaptable systems. From plug-and-play integrations to high-impact use cases, discover how to give your bots the power of sight and unlock a new era of intelligent automation.

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From Pixels to Insights: Why Cloud Vision APIs Win
Oleg Tagobitsky Oleg Tagobitsky

From Pixels to Insights: Why Cloud Vision APIs Win

Cloud-hosted Vision APIs are redefining how companies approach image processing — offering faster deployment, lower costs and zero infrastructure headaches. From OCR to object detection, teams can go from prototype to production in hours, not months. This post unpacks the hidden DevOps savings, hosting economics and hybrid paths that make cloud-first vision not just viable — but smarter.

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Defect-Free in Industry 4.0: Vision APIs Catch Micro-Flaws
Oleg Tagobitsky Oleg Tagobitsky

Defect-Free in Industry 4.0: Vision APIs Catch Micro-Flaws

Micro-defects may be invisible to the human eye, but they can cripple quality, trigger recalls and silently drain profits. In this post, we explore how AI-powered Vision APIs are transforming industrial inspection — from semiconductors to textiles — by detecting flaws at sub-pixel accuracy. Learn how manufacturers can scale from pilot to plant-wide deployment, choosing between ready-to-use APIs and custom-tailored models and why smart visual inspection is the backbone of defect-free operations in Industry 4.0.

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