Systems | Development | Analytics | API | Testing

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5 Steps to Making Better Business Decisions with Machine Learning

Most of the day to day work for knowledge workers is spent helping the business make better decisions, like choosing whether it’s worth expending the effort (or actual money) to achieve the desired business goal. The example I often use when talking about ML is churn prediction (and I’m starting to think I’m overusing it now). It costs money to retain a customer who is thinking of moving, but this is less than the cost of getting new customers.

"If You Fail to Plan, You Are Planning to Fail" - Benjamin Franklin

In February 2017, I was out on a routine training ride when I made a turn on loose gravel. Next thing I knew, I was laying on the pavement. Just like that, I broke my hip and collar bone, and I knew I woudn’t be able to race in the Ironman Lake Placid that year. So, I adjusted from racing to recovery. And, I’m happy to report, I returned to racing in 2019, completing the Ironman Lake Placid that year.

How to Best Monitor GraphQL APIs

Since its release in 2015, GraphQL has become the alternative to REST. It gives frontend developers the flexibility they craved for so long. Over are the days of begging backend developers for one-purpose-endpoints. Now a query can define all the data that is needed and request it in one go, cutting latency down by quite a bit, at least in theory. With REST, things were entirely a bit simpler — especially monitoring.

3 Reasons Why Machine Learning Anomaly Detection is Critical for eCommerce

Do you still find yourself visually monitoring dashboards for anomalies? That leaves catching revenue-related issues to chance. It’s become humanly impossible to catch incidents on streaming data. This is why many eCommerce and data-driven companies have adopted automated anomaly detection.

Web Application Testing: A 6-Step Guide

Almost every business today runs online. The internet is one of the easiest avenues for businesses to reach users, and websites are a great way to impress your customers. So, when you’re building a web application for your business, it’s important that you make it the best version it can be. To make sure that your web application is good enough to impress customers and avoid any negative impact, you have to test your application and fix any issues.

Talend on Talend: How to use machine learning for your marketing database segmentation

In today’s business world, marketing segmentation is a must have for every organisation. It helps you process and aim different targets in a market into multiple customer or prospect segments to enhance your marketing actions. Through this discipline, you can hold a crucial competitive advantage over your competitors because you can adapt your offer and your communication according to the identified groups of personas you want to address.

Why every consultancy is now a product business

One of the really interesting trends that I’m seeing in the marketplace relates to consultancies. Historically, the primary business model for consultancies was to sell their expertise and services. Every customer would get a unique service offering that was defined specifically for them. Now analytical consultancies are shifting away from purely being body shops and starting to think about how to productize their business by offering pre-packaged solutions and managed services to their customers.