AI

opsani

Real Cloud Optimization is Impossible Without AI

The cloud has paved the way for automation and sophisticated apps. With these great advancements comes good and bad. We’re now able to update our code instantaneously. We’re able to deliver new features at a much faster speed than ever before. But this added complexity means that cloud optimization is harder than ever. Research reveals that 80% of finance and IT leaders report that poor cloud financial management has hurt their business.

opsramp

AI-Powered Monitoring for Hybrid IT

This blog originally appeared on HPE. Hewlett-Packard Enterprise (HPE) recently invested in OpsRamp. Consider this: when you drive a car, how would you know whether the car needs maintenance? You might look for status indicators like a check engine or change oil light. Similarly, when a pilot flies an airplane, they rely on a multitude of metrics and data to ensure the plane is running smoothly. Managing IT infrastructure is similar in nature.

testsigma

How Application of Artificial Intelligence is Transforming Business

Artificial intelligence works on the principle of human intelligence. The machines are programmed in such a way that they think like humans and can imitate our actions. They can be designed to execute all types of tasks from complex to simple ones. The primary task machines can perform are learning, reasoning and perception.

netskope

AI and Machine Learning at Netskope

This is the first in a series of articles focused on AI/ML. The past few years have witnessed rapid developments in artificial intelligence (AI) and machine learning (ML). Thanks to the breakthroughs in deep learning, such as convolutional neural networks (CNN) for image recognition and transformers for natural language processing (NLP), AI/ML is now used to solve many real-world problems with great accuracy across different industries, including cybersecurity.

zendesk

3 Ways to Make AI Practical and Accessible in CX

In the past 3 years, the AI space has become so noisy that even seasoned executives struggle to cut through the jargon, making it challenging to deliver against an AI strategy. Support leaders face a series of roadblocks. The AI space overall isn’t accessible to the business stakeholders who want to leverage it for improved customer experience.

manageengine

Five worthy reads: Why AI-as-a-Service, or AIaaS, is quickly growing in popularity

Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. Most companies use some type of “as-a-service” solution to optimize output, and this week, we shed some light on the latest “as-a-service” trend to hit the market, AI-as-a-Service.

INETCO Insight Technical Overview - Real-time Data Acquisition, Transaction-level Monitoring and Adaptive Machine Learning Capabilities

This whitepaper discusses the INETCO Insight transaction data platform. It reveals how the software's unique data streaming, decoding, semantic correlation and statistical analysis engines can be rapidly configured to monitor any application type - custom, packaged, or industry-specific. INETCO Insight produces a single rich transaction record for every transaction, containing business, application, infrastructure, and network performance information that can be sliced and diced instantly to serve the diverse needs of different members of the IT and business teams.
opsramp

Top 10 predictions for AI in IT operations

This article originally appeared in TechBeacon. Gartner first coined the term "AIOps" a few years ago to describe "artificial intelligence for IT operations," and over the last few years, IT operations monitoring tool vendors have begun incorporating AIOps features into their products. Now AIOps tools are commonplace, but many IT leaders remain cautious about using these relatively new capabilities.

cloudera

Deep Learning for Anomaly Detection

We are excited to release Deep Learning for Anomaly Detection, the latest applied machine learning research report from Cloudera Fast Forward Labs. Anomalies, often referred to as outliers, are data points or patterns in data that do not conform to a notion of normal behavior. Anomaly detection, then, is the task of finding those patterns in data that do not adhere to expected norms. The capability to recognize or detect anomalous behavior can provide highly useful insights across industries.