Operations | Monitoring | ITSM | DevOps | Cloud

5 Approaches to Deep Learning Clustering You Really Need to Know

Data has become the most valuable thing in the modern world. According to earthweb, more than 2.5 quintillion bytes of data will be created every day in 2022. These large quantities of data should be appropriately organized to identify meaningful patterns for decision-making. Techniques like clustering are widely used to efficiently collect data into groups based on their similarities and differences and improve the observability of your data.

What is AIOps (artificial intelligence for IT operations)?

Deploying software to support the work of an enterprise is an increasingly complex job that’s often referred to as ‘devops.’ When enterprise teams started using artificial intelligence (AI) algorithms to more efficiently and collaboratively run these operations, end users coined the term AIOps for these tasks.

AI/ML in retail: how the shopping experience has changed

AI/ML is reinventing the reality of many industries, including retail. From brick-and-mortar stores to online marketplaces, retail companies are all increasing their investments in artificial intelligence, in order to gain a competitive advantage, better understand their customers and solve some of their long-lasting problems.

Five worthy reads: Is merging artificial intelligence with your thoughts really a good idea?

Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. In this edition, we’ll learn what brain-computer interfaces are, their crucial medical applications, and the ethical challenges they pose.

Harmonizing Inventory Chaos through AI Augmentation

A New Season NFL Football season is upon us. And while I get to spend several hours watching my favorite team, my colleagues at Zebra MotionworksTM are revving up their analysis and insights as "The Official On-Field Player-Tracking Provider" of the NFL. As a fan, I'm amazed by all the information from tracking technology. Besides being cool, it captures data points that weren't even possible before and provides detailed views of players' health and performance.

How merchants can protect revenue with AI-powered payment monitoring

Smooth payment operations are critical for every merchant’s success. At its most basic level, a seamless and reliable payment process is the key to assuring transaction completion, which is at the very core of a merchant’s financial strength. However, when payment data systems fail to deliver insights about issues regarding approvals, checkouts, fees or fraud, the result is revenue loss and sometimes customer churn.

The Complex But Elegant Relationship Between AIOps and Observability

Digital transformation requires organizational evolution. Constant demand for rapid delivery of upgrades and new products forces change. Surely, the old days of managing monolithic applications housed in private servers are over. Applications consist of virtualized, containerized, and serverless code that’s networked via APIs across a hybrid infrastructure of public and private clouds.

What is AIOps? The Importance of Artificial Intelligence for IT Operations

Modern IT environments are so complex, dynamic, and expansive that humans alone cannot effectively manage and maintain them. As a developer and operator, I have had to deal with failed servers and containers, running out of storage space, slow or unreliable network links, bugs in code, and unpredictable workloads in some applications.