Operations | Monitoring | ITSM | DevOps | Cloud

Using AI & ML to Identify Incident Causation

In this week’s podcast episode, we explore the role of AI and machine learning in incident management and response, including the benefits and potential future of these technologies. We welcome guest, Dan Buckley, Director NMS at Hughes Network Systems, who shares his experiences and insights on the subject, discussing the business value of AI and the current state of the AIOps ecosystem.

Watchdog: AI Across the Datadog Platform

Watchdog is Datadog’s AI engine, providing you with automated alerts, insights, and root cause analyses that draw from observability data across the entire Datadog platform. Watchdog continuously monitors your infrastructure and surfaces the signals that matter most, helping you quickly detect, troubleshoot, and resolve issues. Plus, all Watchdog features come built in—no setup required.

AI-ght! Exploring the Wonders of ChatGPT and Why AI is Taking Over

Technology has been evolving rapidly over the past few decades, and artificial intelligence (AI) has been leading the charge. AI has been used in various applications from self-driving cars to automated customer service. But one of the most intriguing applications of AI is in the form of chatbots. Chatbots, or computer programs designed to simulate conversation, have been around for a while, but the latest iteration of chatbot technology is taking it to a whole new level.

How AI is Redefining Direct Store Delivery

For those outside the grocery industry, direct store delivery (DSD) is a distribution model used by manufacturers/CPGs that entails delivering products directly to retail store shelves. This model is extremely conducive for perishable food categories. During your typical grocery shopping, you may notice that store employees these days do relatively little replenishment in the aisles.

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.