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Recent Case Studies
RE2 Robotics Increases ML Model Accuracy from 50% to 90% with Innotescus
Get a glimpse at how industry leading Assisted Video Annotation (AVA™) from Innotescus helped another Pittsburgh-based company bring quality ML to production.
Security+Innotescus: Keeping your Data Safe in the Cloud
The convenience and accessibility of “the cloud,” however, brings with it a new set of concerns, like security; once it leaves their devices, how can consumers know that their data is protected from unwelcome eyes?
MLOps+Innotescus: How to Find AI Success Where 80% of Businesses Fail
While MLOps is supposed to improve AI applications, only 20% of businesses succeed in incorporating it into their pipelines. Innotescus’ enhanced features for Data Ingestion, Data Analysis & Curation, Data Labeling, and Data Validation solve these key challenges for businesses.
Digital Literacy and Digital Labor: Exploring the Relationship Between Data-Centric AI and Human-Centric Work
Digital labor is transforming the way we work. As of last year, the online workforce contained over 19 million active users. This year, digital labor platforms are expected to generate $52 billion globally.
How to Resolve 5 Common Machine Learning Data Cleaning Problems
The most critical step towards understanding why an Machine Learning model performed so well (or not so well), is brought to light in the data cleaning process.
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The industry insights that fuel our desire to create the best-in-class machine learning annotation platform.
How We Placed Second in Andrew Ng’s Data-Centric AI Challenge
Shashank, Chris, and Rob first worked together at ChemImage Corporation, leveraging machine learning with dense hyperspectral imaging datasets to identify chemical
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
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