MLOps+Innotescus: How to find AI success where 80% of businesses fail
Machine Learning Operations (MLOps) is rapidly gaining new momentum amongst Data Scientists, ML Engineers and AI enthusiasts. While MLOps is supposed to improve AI
Data-Centric, Human-Powered: Exploring the double-meaning of ‘humans-in-the-loop’
In the last issue of The Batch, DeepLearning.ai founder Andrew Ng opened up about his late grandfather and newly-born child. He briefly described his grandfather’s storied and
Innotescus Named a Top Machine Learning Company in Pennsylvania by futurology
The advancement of machine learning depends on better data, and Innotescus is taking the lead. We are always striving to bring the next INNOvation in data annotation
Release Notes: August 2021
This round of updates includes some small-but-mighty improvements that our team thinks is essential for any annotation platform. Now, Innotescus offers easier
RE2 Robotics Increases ML Model Accuracy from 50% to 90% with Innotescus
What makes a robot move accurately? At RE2 Robotics, it’s a constant stream of unstructured data, as well as the machine learning “brain” that translates it. But annotation workflows
Three Tips for Supervising Hybrid In-Person and WFH teams
More and more offices are returning to in-person work, but a lot of employees see working from home as a permanent part of their future. While this fractured approach may seem
How To Make Smart Software Investment Decisions
Business-friendly software programs can make all the difference in the efficiency and financial solvency of an organization. Of course, software programs are continually
Mapping Out the Metaverse with Machine Learning
After announcing plans to make Facebook a ‘metaverse company,’ the internet is abuzz trying to figure out what that even means. Plenty of folks have made half-decent
The Consensus Tool
Most platforms can scale quantity, but the Consensus Tool lets you scale quality. Learn about one of the earliest features that truly captures the collaborative spirit of Innotescus, and