The last few years has been a time of major disruption in the Finserv sector. Artificial Intelligence (AI) technology has emerged as an important tool for providers of financial products and services to deliver more personalised and more sophisticated services to customers faster. The financial services sector is at the beginning of an exciting journey with AI – a journey that we believe will spark a revolution and redefine financial services.

Here at Splunk we’re passionate about helping our customers get as much value from their data as possible. Recently Lila Fridley has written about how to select the best workflow for applying machine learning and Vinay Sridhar has provided an example of anomaly detection in SMLE.

The phone app for mobile access to Alloy Navigator™ ITSM software keeps getting better and gains more features with every update. This time around, the mobile app takes on change management to help your team request infrastructure or process-related changes and take action on approval requests using phones or tablets.

Bloomfield, NJ – February 10th, 2021 — Alloy Software, a leading provider of IT Service Management and Asset Management solutions, announced today a new version of the Alloy Navigator app on Android and iPhone. The mobile app update is available now and includes several new features to support change management and approval workflows.

The Internet of Things (IoT) has quickly become a huge part of how people live, communicate and do business. All kinds of everyday things make up this network – fridges, kettles, light switches – you name it. If it’s connected to WiFi, it’s part of the Internet of Things. IoT raises significant challenges that could stand in your way of fully realizing its potential benefits.

I have seen many junior data scientists and machine learning engineers start a new job or a consulting engagement for a telecom company coming from different industries and thinking that it’s yet another project like many others. What they usually don’t know is that “It’s a trap!”. I spent several years forging telecom data into valuable insights, and looking back, there are a couple of things I would have loved to know at the beginning of my journey.

The data center is a remarkably complex structure. However, they are crucial to the everyday running of even the smallest businesses and enterprises. Whether in-house, cloud, or hybrid, the average data center management requires specialist knowledge and meticulous oversight for max efficiency. That is one reason, at least, why machine learning is emerging as an ideal partner for centers of the future.