Topic: machine learning
Who’s going to pay for AI?
Enterprise AI is a broad topic, ranging from predictive analytics to generative AI, robotics, image recognition, natural language processing (NLP), chatbots and machine learning-based applications that perform complex tasks more efficiently and accurately than humans. Think AI on the manufacturing line to predict and prevent machine failures. Or AI in a nursing home to alert … continue reading
GPUs Are Fast, I/O is Your Bottleneck
Unless you’ve been living off the grid, the hype around Generative AI has been impossible to ignore. A critical component fueling this AI revolution is the underlying computing power, GPUs. The lightning-fast GPUs enable speedy model training. But a hidden bottleneck can severely limit their potential – I/O. If data can’t make its way to … continue reading
New Relic announces next-gen AIOps capabilities
New Relic announced new AIOps capabilities to democratize AI-assisted incident response for engineers and to introduce free forever access to instant anomaly detection. Engineers can now uncover anomalies automatically through a feature that’s enabled by default and available for free to all users. They can also see the probable root cause of every incident from … continue reading
Amazon revealed the DevOps Guru for detecting operational issues
Amazon wants to make it easier for developers and operators to improve application availability with the release of the Amazon DevOps Guru. The new solution automatically detects operational issues and then will recommend a fix. “Once a behavior is identified as an operational problem or risk, DevOps Guru alerts developers and operators to the details … continue reading
premium 3 reasons enterprises need to implement AIOps
Competitive organizations don’t simply react to their environments or competitors. Rather, they are proactively and predictively anticipating how to deliver better business outcomes. These autonomous digital enterprises know how to pull all the relevant information, capabilities, and people into the same place to quickly and efficiently make the right decisions. This requires flexible and dynamic … continue reading
OpsRamp expanded hybrid discovery and monitoring to improve its digital customer experience in summer release
OpsRamp announced new synthetic and cloud monitoring capabilities for identifying and resolving user performance issues across business-critical applications and services. The OpsRamp Summer 2020 Release also introduces 22 new cloud monitoring integrations for AWS and visualizations for machine learning-powered event correlation. “As IT organizations adjust to remote infrastructure operations, OpsRamp now combines user experience metrics … continue reading
Palo Alto Networks launches ML-powered firewall
Palo Alto Networks launched an ML-powered Next-Generation Firewall (NGFW) with PAN-OS 10.0, which embeds machine learning in the core of the firewall to proactively assist in intelligently stopping threats, securing IoT devices, and recommending security policies. Palo Alto Networks stated that by bringing these industry firsts into a single system, organizations can protect against up … continue reading
VMware to acquire network detection and response platform provider Lastline
VMware is looking to ramp up its security efforts with the acquisition of Lastline. The company announced intent to acquire the anti-malware research and AI-powered network detection and response platform provider. According to VMware, it’s more important than ever to ensure businesses have the proper security measures in place as work becomes more distributed and … continue reading
BMC announces new AIOps solution for mainframe
IT solution provider BMC unveiled its BMC AMI Operational Insight, an AI-driven solution that uses machine learning to detect anomalies and maximize lead time for remediation to mitigate mainframe issues before they become business problems. “By applying AIOps to the mainframe for better availability and performance with BMC AMI Operational Insight, our customers can reclaim … continue reading
Deploying AIOps in ITOM should not require writing and maintaining manual rules
There is a lot of interest around AIOps, with multiple studies finding that organizations are adopting AI at an increasing rate. In a recent Forrester report 68% of companies surveyed have plans to invest in AIOps-enabled monitoring solutions over the next 12 months. Gartner forecasts that by 2022, 40% of all large enterprises will combine … continue reading
ITOps Times Open-Source Project of the Week: ForestFlow
The LF AI Foundation has announced ForestFlow is joining as an incubation project. ForestFlow is an open-source, policy-based, cloud-native machine learning model server designed to reduce friction between data science, engineering and operations teams. The project was created to address the challenges organizations have faced when moving machine learning models into production. According to Ahmad … continue reading
ITOps Times news digest: PagerDuty’s machine learning capabilities, Stateless’ software-defined interconnect platform, and hybrid IT monitoring solution Checkmk 1.6
PagerDuty is adding new machine learning capabilities to its platform in order to help IT teams reduce costs and impact from slow downs and outages. According to the company, it takes an average of 80 minutes for teams to respond to an issue. The company’s new solution works to reduce that time to as little … continue reading
