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Tag: DevOps

ML Needs Separate Dev and Ops Teams, Datatron Says

In the machine learning world, the folks developing models often are the same folks who are tasked with running the models in production. And they often use the same end-to-end ML software stacks. But emerging best pract Read more…

AI Continues DevOps Expansion

AI gives us the potential to look through the clutter and pick out pieces of data that really matter. It’s no wonder, then, that AI is increasingly being used to target complex IT tasks, including DevOps. For instan Read more…

In Search of Data Observability

The concept of “observability” is well understood as it pertains to DevOps and site reliability engineering (SRE). But what does it mean in the context of data? According to Barr Moses, the CEO of data observability Read more…

AI-Enabled DevOps: Reimagining Enterprise Application Development

Today, advances in artificial intelligence (AI) and machine learning (ML) have opened up significant application possibilities, from sensor-driven weather prediction to driverless cars to intelligent chatbots. Developmen Read more…

AI Governance Rises to the Top of the Stack

Artificial intelligence (AI) is running amok, or so that’s the general perception these days. AI governance is important because the stakes are so high for getting AI right and consequences so dire if we screw it up. Read more…

Virtualization Startup Varada Streamlines Data Ops

Varada, a data virtualization startup targeting big data query acceleration, announced a $12 million funding round this week as it ramps up its “zero data-ops” platform designed to prioritize analytics workloads via Read more…

A ‘Breakout Year’ for ModelOps, Forrester Says

The rapid maturation of machine learning operations (ModelOps) tools is leading to a “breakout year” for ModelOps, Forrester says in a recent report. The ML lifecycle is a potential nightmare for many organization Read more…

Grafana Labs Visualizes Growth with $50M Round

Grafana Labs, developer of a popular open source tool for visualizing logs and metrics, today announced that it’s raised $50 million in a Series B round of investment. The company’s CEO, Raj Dutt, tells Datanami the Read more…

Is Kubernetes Overhyped?

The amount of attention paid to Kubernetes has increased substantially over the past couple of years. What started out as a relatively obscure container management system open sourced by Google has turned into the must-h Read more…

Demystifying DataOps: What We Need to Know to Leverage It

The term “DataOps” has picked up momentum and is quickly becoming the new buzz word. But we want it to be more than just a buzz word for your company, after reading this article you will have the knowledge to leverag Read more…

An Enterprise Guide to a Secure Data Science Pipeline

Open source is the backbone driving digital innovation (Gartner, 2019). It's crucial to many of today’s leading-edge digital fields, including data science and machine learning. No single technology vendor can outm Read more…

Apache Flink Gets More Stateful

An updated application programming interface for building and orchestrating stateful applications, so-called because such programs retain client data from one session to the next, is also the first event-driven database Read more…

AIOps Startup with ‘Open’ Emphasis Raises Cash

Tech investors are betting that automated IT operations will be among the first significant enterprise applications for AI. Artificial intelligence for IT operations, or AIOps, and the application of machine learning Read more…

Machine Data Intelligence Market Heats Up

The rise of connected devices and the flood of unstructured data they churn out is spurring the introduction of new machine data intelligence platforms designed to handle data frequency as well as sheer volume. Adding to Read more…

Lack of Visibility in AIOps Concerning, BigPanda Survey Says

Nearly one-third of the folks who took a recent BigPanda survey said they are evaluating AIOps tools to help them get a firmer grip on increasingly complex IT operations. However, the lack of visibility into today's AIOp Read more…

How Dark Data, DevOps, and IT Complexity Are Hurting Security

Despite the lip service paid to being "data-driven," the average organization fails to collect or process more than half of the data it generates, according to a new report from Splunk. From an operational standpoint, th Read more…

Early AIOps Adopters Not Sold on IT Advice

AIOps, the emerging IT operations technology that uses machine learning and AI techniques to automate digital infrastructure, has matured to the point where vendors are releasing surveys promising insights into how the t Read more…

More Tools Emerge for AI Deployment

As data scientists confront operational challenges that are slowing the transition of machine learning models to production, more vendors are stepping up with possible solutions for breaking up the logjam. The latest Read more…

AI Enlisted to Secure Apps

An application security testing specialist is adding automated verification to its app scanning platform. WhiteHat Security said this week the addition of AI-enabled verification to its application security testing fr Read more…

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