The iMerit Blog

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 6, 2021

Insurance Processes Made Easy Using Machine Learning

AI and Machine learning is being applied to multiple aspects of insurance practice since the industry is full of bottlenecks

Apr 29, 2021

Encoding Human and Machine Knowledge for Machine Learning

Encoding transforms information from one representation to another. When we write, we encode our words or thoughts as scribbles on

Apr 22, 2021

Edge Cases Drive Demand and Create New Opportunities

Developers in the early phases of their AI application lifecycle often use a “Goldilocks approach”, also known as the “just

Apr 20, 2021

Future of Autonomous Technology

Today, the data and Machine Learning algorithms of autonomous technology for applications including object detection, localization and path planning are

Apr 20, 2021

Using a Data-centric Approach to Improve Machine Learning Models

Andrew Ng, the AI pioneer and technology entrepreneur, is a man on a mission. He recently spoke about how the

Apr 15, 2021

The Three Edge Case Culprits: Bias, Variance, and Unpredictability

Through training, machine learning (ML) systems learn to recognize patterns by associating inputs (e.g., pixel values, audio samples, text) to

Apr 6, 2021

Powering Driverless Cars with Data Annotation

Today, a majority of automobile manufacturers (Tesla, GM, Ford, BMW, Toyota, PSA, Renault-Nissan) and companies such as Waymo, Uber, NuTonomy

Mar 29, 2021

How Noisy Labels Impact Machine Learning Models

Supervised Machine Learning requires labeled training data, and large ML systems need large amounts of training data. Labeling training data

Mar 8, 2021

How iMerit’s #WomenInData have Adapted to Remote Work

Working women usually have to juggle multiple tasks of the workplace and home. Even before the coronavirus pandemic, women did

Mar 3, 2021

Data Annotation for AI Applications In Healthcare

From diagnostic assistance to patient engagement, AI in healthcare is proving beneficial for patients and healthcare professionals alike by increasing

Jan 28, 2021

How Salesforce Is Packaging AI into Their Product

Software Creates Demand for Data Labeling Services When done right, this approach lets users more easily develop AI models and

Jan 20, 2021

Top 5 Data Annotation Tooling and Workflow Trends For 2021

As Artificial Intelligence continues to boom, improved technologies for data labeling and annotation are on the rise. From robotic perception