Alegion

Amid all of the Artificial Intelligence discussions happening, there is always time for some AI fun. The Alegion booth is close to the AI Arcade. Stop by for some AI fun.

Coming to AI Summit Austin this week? Hear Alegion CTO Chip Ray on Wednesday, November 2nd from 5:30-6pm at booth 742 talk on data curation and introduce some newly formed partnerships. See who Alegion is innovating with to help you build better data.

Happy halloween!

There is nothing more important to the success of your ML initiatives than acquiring contextually labeled, high quality training data. But, companies are becoming overwhelmed by the amounts of data needed to create accurate models.

Developing the capacity to annotate massive volumes of data while maintaining quality is a function of the model development lifecycle that enterprises often underestimate. Get "A Step-by-Step Guide to Quality Training Data for Computer Vision"

A Step-by-Step Guide to Quality Training Data for Computer Vision Alegion specializes in high-quality training data for computer vision. In this blog we walk through the 4 prioritized phases to quality training data, and explain the significance of specific metrics for quality

The application of is an essential innovation driver for companies needing to deliver products or services in tight enconomic conditions. However, to maximize investmtents, better are needed to ensure your data is high-quality and accurate. Choosing the right data labeling partner can be the boost companies need to accelerate ML projects:

Choosing a data labeling partner In this guide, we walk you through the steps & provide a checklist with all the necessary considerations for you to choose the right partner.

According to the National Retail Security Survey, 36.5% of missing inventory was attributed to shoplifting and 33.2% was due to employee theft. Understanding that, a world leading retail company came to Alegion with a very complex video annotation use case for loss prevention. How could we partner to develop a computer vision model that detected shoplifting at self-checkout? Read our quick blog to understand how Alegion builds better data to power better AI and was able to help this customer gain 60% in labeling efficiencies:

CV Case Study: Complex Video Annotation For Loss Prevention Learn how Alegion helps companies leverage high-precision video annotation to prevent inventory loss. 

Did you miss the in-depth discussion? Its not too late to catch: "Innovation Drivers & Data Labeling Trends for Video ML" with Chip Ray, CTO hosted by Cognilytica! Explore the dialog on using video as a type within ! Watch on demand now at: https://hubs.la/Q01lTwVc0

"Data Labeling And The Right Data To Annotate". Understand labeling for each data type and which is the best to choose for your next ML project. Check out this 5min read from Alegion.

Alegion is here to help companies Build Better Data to Power Better AI. https://hubs.la/Q01lhWtc0

Join an engaging conversation between Alegion and Cognilytica on the Innovation Drivers and Future Trends in video for ML.

Watch live for a big Texas HOWDY Y'ALL from Alegion CTO, Chip Ray.

Have a quick moment? Watch this short clip on how to annotate long videos. Alegion is and industry leader in video annotation:

Alegion Tutorial: A Short Video on How to Annotate Long Videos Learn how to use Alegion Video Annotation to the fullest with features that adapt your workflow as video length increases.

Expanding a Human Pose Dataset to Augment a Manufacturing Vision Platform

Expanding a Human Pose Dataset to Augment a Manufacturing Vision Platform IInvisible AI, a vision platform for manufacturing companies, partnered with Alegion to scale up annotations of an open source dataset. The increased model accuracy contributes to a 98% accurate system.