Data Security: How Innotescus Makes Cloud-Based ML Solutions Safe
It’s hard to live in today’s world and not be bombarded by mentions of “the cloud.” From the way we stream music and find directions on a road trip to the way we pay friends for
Digital Literacy and Digital Labor: Exploring the Relationship Between Data-Centric AI and Human-Centric Work
The digital labor market at a glance How much is the digital labor market growing? Digital labor is transforming the way we work. As of last year, the online workforce contained over
September 2021 Release Notes: Metadata+Dive
This past month, we released some of the most exciting tools for Innotescus yet, as well as some other features that only sweeten the deal. Read how new Metadata capabilities
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
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
Release Notes: July 2021
Updated Features: July 2021 Welcome to Innotescus’ first monthly installment of product updates! We will use these and feature spotlights to showcase the added value of our
Innotescus Outperforms Open-source Machine Learning Tools
Image annotation can seem like a simple part of any computer vision project—find an open-source tool, or cobble together an annotation program in-house, and start