From casual to cultured, the iMerit blog tackles a wide array of topics related to security, expertise, and flexibility in the Artificial Intelligence and Machine Learning data-enrichment marketplace.
May 11, 2023
This blog delves into the state of MLOps in 2023, and explains how the quality of training data can make or break your AI initiatives.
Feb 2, 2023
Find out how to address edge cases with robust MLOps pipelines and synthetic data.
Jan 24, 2023
Learn how human-in-the-loop and high-quality data go hand-in-hand to achieve the widespread production of AI applications.
Jan 13, 2023
iMerit hosts a panel discussion with industry leaders on how navigating data tooling allows enterprises to achieve high-quality AI training data.
Dec 27, 2022
Automation in machine learning will enable people to make a bigger impact and have more fulfilling roles.
Dec 13, 2022
Find out how these leading companies deploy robust ML systems in production by converging ML Ops and Data Pipelines.
Dec 7, 2022
Find out how comprehensive data annotation tools can help overcome the six most common barriers for high-quality data.
Dec 1, 2022
Responsible AI is a key investment to help AI adoption and instill trust in end-users.
Nov 24, 2022
iMerit CEO Radha Basu and Meta’s Manohar Paluri discuss the ideal framework for pushing the frontiers in AI research at the ML DataOps Summit.
Nov 11, 2022
Here’s how machine learning can help categorize text-based documents using supervised classification algorithms.
Nov 7, 2022
Learn how and why DNNs are vulnerable to adversarial attacks, and how to make machine learning models less vulnerable to these attacks.
Oct 27, 2022
As videos have become easier to distribute and consume, we have seen considerable developments in machine learning algorithms that can
Oct 20, 2022
Learn about the basics of image classification with this tutorial on convolutional neural networks with Tensorflow. A sample script is included.