How Do I Know if I Have a Problem That ML Can Solve?

In the last few years, whether you know it or not, your life has been greatly affected by machine learning (ML). From playing basketball to recommending products on Amazon, machine learning and its many capabilities are being leveraged by more companies than ever before.   The power of ML to take in vast amounts of data […]

How to Predict Customer Churn with Machine Learning

With the plethora of choices available in today’s marketplace, customer loyalty has been extremely difficult to build. Because of this, some customers will inevitably leave your service. The key question is which customers would have changed their minds if certain action(s) was taken? Customer churn is defined as the percentage of customers who leave your […]

3 Critical Steps to Take When Predicting Adverse Health Events with ML

In this post, we are going to discuss three steps to take when leveraging machine learning (ML) to successfully predict adverse health events. We will skip over security, privacy, and transparency — which you can find in this article.  The three steps we’re going to cover in this post are:  Population Data cleaning, manipulation, and […]

Using ML to Determine the Next Best Action for Customers

Marketing has evolved from mass mailing every household to sending mass emails to everyone on a list to now being able to send a targeted message to a select group of people within an email list. This targeted approach has helped marketers realize eye-opening ROI on their campaigns and is now where most of them […]

Automated Monitoring in Finance with Machine Learning

The financial services industry has always been keen to adapt machine learning rather quickly. Conversations around market analysis or stock market prediction are coupled with discussions about quantitative models or algorithms.  In this post, we are going to discuss the possibilities in the realm of automated monitoring.  Fraud Detection As an avid traveler, modern fraud […]

Using ML to Process Insurance Claims Faster

Machine learning (ML) continues to transform how different industries operate and the insurance industry is no exception. Data scientists are developing machine learning models to create smarter and automated processes in the areas of claims, cross-selling, underwriting, and risk management.  The ultimate goal of integrating data science into these functions is to save time and […]

Ethics Around Implementing ML in Healthcare

Machine learning (ML) can improve healthcare, but many people are hesitant to want their healthcare data included in an ML model. One reason is that patient privacy and safety don’t have clear legal guidelines when it comes to technical workers viewing and using patient information. The other concern is that the diagnosis the computer generates […]

Techniques for Labeling Data in Machine Learning

This post was originally written by Richa Meherwal and updated by Safwan Islam for 2022. What is Data Labeling for Machine Learning? Imagine you want to start an agribusiness and your goal is to maximize profits by growing abundant, good-quality crops. However, growing large amounts of crops is limited by the number of resources you […]

What is a Model Registry?

A featured image that shows a computer screen with code on it that says, "What is a Model Registry?"

This article aims to answer many frequently asked questions about model registries. For a broader perspective on how model registries fit into an MLOps framework, check out the Tracking section of our 4 Pillars of MLOps: How to Deploy ML Models Into Production. What is a Model Registry? A model registry is a repository used […]

Can AI or ML Solve Your Business Problem? How To Identify The Answer

Each time you turn on the TV or browse the web, it’s likely you’ll see an ad from someone touting how their product or service utilizes cutting-edge analytics. Every day you hear buzzwords like “Artificial Intelligence,” “Machine Learning,” and “Algorithm.”   Organizations are quickly adopting predictive and prescriptive solutions to solve problems, but it can seem […]