Today in the annual IBM think conference, IBM announced the launch of Watson AIOps, a service that taps AI to automatically detect real-time, diagnose, and fix network abnormalities. It also announced new services targeting the deployment of 5G technologies and devices on those networks, as well as the IBM Telco network of telecommunications partners – the network cloud ecosystem.
Watson AIOps marks IBM’s entry into the mammoth AIOps market, expected to grow from $ 2,550,000,000 in 2018 to $ 11,020,000,000 by 2023, according to the market and market. It could be a conservative projection in the light of a pandemic, which is forcing IT teams to increasingly conduct their work remotely. Instead of access to infrastructure, tools like Watson AIOps can help prevent major power outages, which a study from Aberdeen pegged at $ 260,000 per hour.
The COVID-19 crisis and the increasing demand for remote working capability are driving the need to automate AI at an unprecedented rate and speed, “said IBM SVP Rob Thomas in a statement. With automation, we are empowering next-generation CIOs and their teams to prioritize the critical work of today’s digital businesses – managing and harnessing data to apply it. Predictive insights help lead to more impactful business results and lower costs. “
Watson AIOps, which leverages semantic search techniques and builds on the latest version of Red Hat OpenShift, runs through hybrid cloud environments and works with existing platforms like slack, Box, and IT monitoring solutions such as Mattermost and ServiceNow. According to lead research scientist of IBM Ruchir Puri, it correlates between data sources to localize the root causes of problems and create an explainable diagnosis while introducing the best course of action. dynamic.
[AIOps’] algorithm … works with time series data of indices, semi-structured but logable data logs, structured data such as alerts and unstructured data in incidents and human conversation to automatically create a timeline of development issues. Each data source better lends itself to some kind of work, “Puri explains. Time-series data, for example, is more suitable for regression tasks, while unstructured data is best for sorting tasks. Logs and other semi-structured data can be used for one of the appropriate transformation tasks. “
Watson AIOps also promotes semantic search techniques that can relate to current incidents to past incidents, analyze contextual situations and suggest the best possible fix. Innovative IBM AI, like Watson OpenScale, is at the forefront of developing reliable and explainable technology, and innovations that help SREs explain the reason behind a Watson AIOps proposal, which is important to trust those act.
Coinciding with the launch of Watson AIOps was the upgrade to Cloud Pak for IBM data, big data and predictive analytics platforms. IBM planning analytics, a product designed to automate business planning, budgets and forecasts, can now be added as an extension to Cloud Pak for data, as well as IBM on-premises mobile device management (MDM) service DataSphere Master Connect.
IBM today also released Accelerator for application modernization with AI, a suite of tools in IBM’s cloud service, which aims to reduce the effort and costs associated with application modernization. Advisor contains AI tap app to provide recommendations for containerization, considering counting 12-elements to measure complexity. Candidate micro-service advisor automatically detects micro-services from the application’s source code and data elements, capturing details such as component entities, Java classes, and database tables. And the modern workflow editor uses AI-based icon theory to create modernization steps tailored to each application.
Elsewhere, IBM will quickly roll out an upgrade to IBM Cloud Pak for automation, the company said, so customers can easily create automation to perform data collection, tasks, business routing, and other tasks. For IBM Watson Assistant, IBM’s AI-based Customer Service, it will gain a new feature called autolearning “that attracts previous interactions to provide the best, most relevant, answers to your questions. New questions on related topics.
5G devices and edges
In addition to AI and automation solutions, IBM today introduced IBM service groups specifically for edge computers and cloud fiction – specifically, edge computing supporting 5G. And it has announced the ecosystem of IBM Edge and the Telco Network Cloud ecosystem above, which will seek to recruit equipment manufacturers, networks and IT vendors, and software vendors including including Cisco, Dell, Juniper, Intel, NVIDIA, Samsung, and others to help customers launch cloud services
Alliances will use IBM’s new and existing edge and multicloud solutions, such as IBM Visual Insights, IBM production optimization, IBM connection production, IBM asset optimization, IBM Maximo workers see , IBM Visual Inspector, IBM Edge Application Manager, and IBM Telco Network Cloud Manager. Edge Application Manager, built on top of the Linux Foundation’s Horizon open software project, enables managing up to 10,000 edge nodes simultaneously for AI and analytics applications. Meanwhile, OpenShift-Powered Telco Network Cloud Manager handles automation capabilities to streamline virtual network and container functions on OpenShift and the Red Hat OpenStack cloud platform.
Thomas expects that the adoption of 5G will make the utility of edge computing evident. 5G low latency makes it an ideal fit on scenarios like emergency response, robotic surgery, and connected vehicle safety features, he asserts, because it separates from milliseconds. overriding that would otherwise be spent sending the workload to the cloud.
The convergence of 5G, edge computing, and hybrid cloud is redefining how businesses operate – accelerating innovation, creating better user experience, and improving employees and engagement. “adding Thomas. IBM is helping businesses take advantage of the opportunities created by this new computer model, providing a comprehensive set of open edge solutions and a robust open ecosystem. By drawing we acquire Red Hat and industry expertise, we are helping businesses recognize the opportunities of edge computing. “