Building computer vision solutions that check every box—accuracy, scalability, data privacy, and maintainability—is no small feat. ????♀? In this video, Kit Merker, CEO of Plainsight Technologies, dives into why it's such a balancing act. ???? Download our Computer Vision Buyers Guide to see if CV aligns with your business goals: https://hubs.ly/Q02SFTkn0 #Benchmarking #ComputerVision #AI #DevOps
关于我们
Plainsight Technologies is the enterprise vision data company that makes your cameras count. We help companies use real-world visual data to bottom lines through our cutting-edge Vision Data Filters. Our Filters quickly and accurately identify business-critical data and feed it directly into your data systems so you can take action.
- 网站
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https://www.plainsight.ai
Plainsight Technologies的外部链接
- 所属行业
- 软件开发
- 规模
- 11-50 人
- 总部
- Greater Seattle Area,WA
- 类型
- 私人持股
- 创立
- 2024
- 领域
- AI、Machine Learning、IoT、Custom Enterprise AI Solutions、ML Model Creation、End-to-End ML Lifecycle Platform、Developer Toolsets、Data Annotation、Image Labeling、Computer Vision、Video Analytics、Deep Learning、Data Annotation、Generative AI和LLM-Infused Capabilities
地点
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主要
US,WA,Greater Seattle Area,98101
Plainsight Technologies员工
动态
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Stay grounded amidst the AI buzz—your data engineers and scientists are the true MVPs. Focus on solutions that automate error-prone processes and ensure reliable data flow so you can spot trends with confidence. Explore if computer vision is the right fit for your business: https://hubs.ly/Q02Sfb6y0 #ComputerVision #AI #TechHumor #DataEngineering #DataScience
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Why reinvent the wheel when you can borrow the blueprint? ???? Discover how a seasoned ML/AI Engineer and Data Scientist, Navar Nascimento, simplifies code sharing by building a Computer Vision App—with practical insights on standardizing filters to make life easier for engineers. ?? Watch now: https://hubs.ly/Q02RDM1Z0 #TechHumor #ComputerVision #DataCulture #DataEngineering #DataScience
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How do you implement a DIY Computer Vision filter for your business without using Plainsight technology? 1. Define your business problem in terms of inputs, outputs, and tolerances 2. Find a set of relevant recognition models. You may have to purchase a model, so start tracking your budget 3. Architect the coding problems into the code functions that ingest and output the meta-layer created from your visual models ?????? For more of the secret sauce, read our blog post on it: https://hubs.ly/Q02Rwqcr0 #TechHumor #DataEngineering #ComputerVision #DataQuality
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Leave the heavy lifting to us. ???♂? This week’s must-know insights, all in one place:?LinkedIn's stealthy data moves, HubSpot's AI boost, and robots making their way into agriculture. ?? Subscribe and catch up with our newsletter now!
AI & Computer Vision: Keeping You Informed on the Latest Trends
Plainsight Technologies,发布于领英
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Wouldn't it be nice if you could remove the undifferentiated toil required to create and maintain computer vision apps? ? Discover how to DIY and simplify the process: https://hubs.ly/Q02RfcH-0 #TechHumor #DataEngineering
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Remember the real stars: your data engineers and scientists. ? Prioritize solutions that streamline your business processes and guarantee accurate data flow downstream, empowering you to analyze trends effectively. See if computer vision is the right fit for your business: https://hubs.ly/Q02QQtVJ0 #ComputerVision #AI #TechHumor #DataEngineering
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Luxury Brands, OpenAI, and Construction Sites - oh my! ?? Stay in the loop on the latest in computer vision and AI with our weekly newsletter. ?? #ComputerVision #AI #TechUpdates #TechNews #DataManagement
AI & Computer Vision: Your Quick Fix for Staying Informed
Plainsight Technologies,发布于领英
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Building a computer vision app isn’t just about development—it's about maintaining the models that power it. With Plainsight Filters, raw visuals can be transformed into actionable intelligence effortlessly without constant model overhauls or technical in-house expertise. Watch our demo on how to build a computer vision app: https://hubs.ly/Q02QqHcr0 #ComputerVision #DataStrategy #TechHumor