According a recent McKinsey study, after a positive customer experience, more than 85% of customers purchased more. After a negative experience, more than 70% purchased less. Companies have been using […]
We are extremely pleased to announce the successful completion of our first UK implementation of Mule 4, the latest and most advanced runtime engine of MuleSoft’s Anypoint Platform. Over the last […]
From the rise of Big Data in APAC and AI to Hortonworks’ Hive-Kafka integration and Databricks’ Twitter Sentiment Analysis, in this month’s Big Data round-up we are sharing some of the most recent […]
Coforge (Erstwhile WHISHWORKS), strategic partner of MuleSoft, has achieved a record number of certifications in 2018 in order to meet the accelerated market demand. Throughout the year, Coforge’ developers and […]
Coforge’ Sreekanth Cherukuri discusses why integration is the secret ingredient to retail success in the crucial pre-Christmas period with Retail Technology The annual pre-Christmas shopping season can bring huge sales uplifts […]
The Idempotent Filter is an important message filter in the Mule platform, ensuring that only unique messages are received by a service by checking the unique ID of the incoming […]
Artificial Intelligence and Machine Learning can help retailers gain that competitive edge and innovate and that was the focus of a webinar we held recently. This white paper builds on the key points from this webinar.
During the recent London MuleSoft Summit, we asked CIOs, IT leaders, integration architects and development leads to tell us about their progress with integrating their systems and applications. Following are […]
MuleSoft CloudHub features a backend load-balancing service designed to automate the provisioning of infrastructure components. This blog explains when and how to use the Dedicated Load Balancer (DLB) in CloudHub.
In this blog we provide a high level view of what is supported within each subscription tier and the main differences with MuleSoft’s Community Edition (recently renamed to Mule Kernel).
There are three main areas where we see artificial intelligence having the greatest effect and benefit for insurers. These are in personalised insurance offers and policies, in underwriting and claims management, and in customer experience.
We asked 100 Big Data strategists, architects and users based in the UK for their input on the state of big data in 2017/2018. This report consolidates our findings.