IBM Launches Watson AIOps That Automates IT Anomaly Detection and Remediation

IBM | May 05, 2020

  • IBM announced the launch of Watson AIOps, a service that taps AI to automate the real-time detection, diagnosing, and remediation of network anomalies.

  • Coinciding with the launch of Watson AIOps are upgrades to Cloud Pak for Data, IBM’s big data and predictive analytics platform.

  • IBM Edge Ecosystem and the aforementioned Telco Network Cloud Ecosystem, which will seek to recruit equipment manufacturers, networking and IT providers.

Today during its annual IBM Think conference, IBM announced the launch of Watson AIOps, a service that taps AI to automate the real-time detection, diagnosing, and remediation of network anomalies. It also unveiled new offerings targeting the rollout of 5G technologies and the devices on those networks, as well as a coalition of telecommunications partners — the IBM Telco Network Cloud Ecosystem — that will work with IBM to deploy edge computing technologies.

Watson AIOps marks IBM’s foray into the mammoth AIOps market, which is expected to grow from $2.55 billion in 2018 to $11.02 billion by 2023, according to Markets and Markets. That might be a conservative projection in light of the pandemic, which is forcing IT teams to increasingly conduct their work remotely. In lieu of access to infrastructure, tools like Watson AIOps could help prevent major outages, the cost of which a study from Aberdeen pegged at $260,000 per hour.


The COVID-19 crisis and increased demand for remote work capabilities are driving the need for AI automation at an unprecedented rate and pace, in a statement. With automation, we are empowering next generation CIOs and their teams to prioritize the crucial work of today’s digital enterprises — managing and mining data to apply predictive insights that help lead to more impactful business results and lower cost.

-IBM SVP Rob Thomas

Watson AIOps, which leverages semantic search techniques and which is built on the latest release of Red Hat OpenShift, runs across hybrid cloud environments and works with existing platforms like Slack, Box, and IT monitoring solutions such as Mattermost and ServiceNow. According to IBM Research chief scientist Ruchir Puri, it correlates among data sources to localize the root causes of issues and create an explainable diagnosis while recommending the best course of action

“[AIOps’] algorithms … work with time-series data of metrics, semi-structured but voluminous data logs, structured data like alerts, and unstructured data in incidents and human conversations to automatically create a timeline of the evolving issue. Each of these data sources better lends itself to certain types of tasks,” Puri explained. “Time series data, for example, is more suitable for regression tasks, whereas unstructured data is best for classification tasks. Logs and other semi-structured data can be used for either of the tasks after suitable transformations.”

Watson AIOps also leverages semantic search techniques that can relate the current incident to past incidents, analyzing those contextual cases and suggesting possible next-best remediations. IBM AI innovations, like Watson OpenScale, are at the forefront of developing trusted and explainable technologies and those innovations help SREs interpret the reason behind a Watson AIOps recommendation, which is critical to trusting those actions.

Coinciding with the launch of Watson AIOps are upgrades to Cloud Pak for Data, IBM’s big data and predictive analytics platform. IBM Planning Analytics, a product designed to automate business planning, budgeting, and forecasting, can now be added as an extension to Cloud Pak for Data, as can the on-premises mobile device management (MDM) service IBM InfoSphere Master Data Connect.

IBM today also released Accelerator for Application Modernization with AI, a suite of tools within IBM’s Cloud Modernization Service that aims to reduce the effort and costs associated with app modernization. Application Containerization Advisor taps AI to provide recommendations for containerization, considering 12-factor properties to measure complexity. Candidate Microservices Advisor automates the discovery of microservices from an app’s source code and data artifacts, capturing details like component entities, Java classes, and database tables. And Modernization Workflow Orchestrator employs AI-based symbolic reasoning to create modernization steps tailored to each app.

Elsewhere, IBM will soon roll out upgrades to IBM Cloud Pak for Automation, the company says, so that customers can more easily create automations that perform data capture, task automation, business routing, and other such tasks. As for IBM Watson Assistant, IBM’s AI-based customer service, it’ll gain a new feature called “autolearning” that draws on prior interactions to provide the best, most relevant answers to new questions on related topics.



5G and edge devices

Beyond AI and automation solutions, IBM today introduced dedicated IBM Services teams for edge computing and telco clouds — specifically 5G-enabled edge computing. And it announced the IBM Edge Ecosystem and the aforementioned Telco Network Cloud Ecosystem, which will seek to recruit equipment manufacturers, networking and IT providers, and software providers including Cisco, Dell, Juniper, Intel, Nvidia, Samsung, and others to help clients launch cloud and computing services.

The coalitions will make use of IBM’s new and existing edge and multicloud solutions, like IBM Visual Insights, IBM Production Optimization, IBM Connected Manufacturing, IBM Asset Optimization, IBM Maximo Worker Insights, IBM Visual Inspector, IBM Edge Application Manager, and IBM Telco Network Cloud Manager. Edge Application Manager, which is built atop the Linux Foundation’s Open Horizon software project, enables management of up to 10,000 edge nodes simultaneously for AI and analytics applications. Meanwhile, the OpenShift-powered Telco Network Cloud Manager handles automation capabilities to orchestrate virtual and container network functions both on OpenShift and the Red Hat OpenStack cloud platform.

Thomas anticipates that the adoption of 5G will make evident the utility of edge computing. 5G low latency makes it an ideal fit across scenarios like emergency response, robotic surgery, and connected-vehicle safety features, he asserts, because it shaves off crucial milliseconds that would be otherwise be spent sending workloads to the cloud.

“The convergence of 5G, edge computing, and hybrid multicloud is redefining how businesses operate — speeding innovation, creating better user experiences, and improving employee and customer engagement,” added Thomas.


IBM is helping enterprises capitalize on the opportunities created by this new computing model, offering a comprehensive set of open edge solutions and a robust open ecosystem. By drawing on our acquisition of Red Hat and industry expertise, we’re helping enterprises realize the opportunities of edge computing.

-IBM SVP Rob Thomas



Even though IT Convergence is a traditional E-Business Suite user, we decided to take steps towards Oracle Cloud and implement HCM and ERP Cloud.

Other News

Ironclad Unveils Ironclad AI: Artificial Intelligence Applied Across the Entire Contract Lifecycle

Ironclad | September 16, 2022

Ironclad, the leading digital contracting platform, today announced the launch of Ironclad AI, an AI-driven layer of its platform designed to transform the way companies create, understand, and control their contracts. Ironclad is the only platform to include artificial intelligence across the entire contract lifecycle, including a first-of-its-kind, AI-driven tool to intelligently negotiate and review contracts at scale. "We've been quietly building AI across our platform from day one, and we're incredibly excited about these new tools that will help companies transform the way they contract. "Ironclad AI was built to give customers the right information at the right time; we're able to surface data that has never before been available, which gives leaders unparalleled views into their operations to help them make better decisions and drive impact." Jason Boehmig, CEO and co-founder of Ironclad Understand contracts with enhanced AI functionality in Ironclad Repository Today, Ironclad announced enhancements to Ironclad Smart Import, an AI-powered contract migration tool that uses optical character recognition (OCR) to scan, index, tag, and store contract data at scale. With Smart Import, customers can: Make contracts full-text searchable: Industry-leading OCR technology makes all of your contracts full-text searchable, including scans of wet-signed contracts. Confidently automate data extraction: Ironclad AI extracts key terms and clauses with over 90% accuracy. Use your contracts and data instantly: Make your contracts and data fully searchable and reportable, instantly. Control contracts with AI-powered review and negotiation Launched today in beta, Ironclad Playbooks uses AI-powered clause detection that allows customers to review and negotiate contracts more intelligently. With Playbooks, companies can: Automatically analyze and intelligently negotiate contracts, faster: Ironclad AI automatically analyzes contracts, flags areas that require a thorough review, and provides suggestions on how to negotiate based on legal-approved guidelines. Review third-party paper at scale: Ironclad AI automatically loops in the right approvers at the right times to streamline negotiation, enhance contract collaboration and compliance, and speed up contract review times. Convert PDF files to DOCX for contract reviews: Ironclad offers the ability to instantly convert PDF files to DOCX when editing documents to slash the time and effort required to get contracts uploaded, reviewed, and approved. "When you're dealing with 20 to 30 page vendor contracts, the manual review process takes a massive amount of time – but it's critical work," said Charles Hurr, Associate General Counsel at L'Oréal. "Ironclad AI automatically reviews these contracts, flags language and clauses that don't work for us, and suggests L'Oréal-approved provisions to swap in. This cuts the review process from hours to minutes, improves our team's efficiency, and frees up time for the team to focus on more high impact work." "Our goal is to keep legal out of 95% of our contracts, and Ironclad's AI-driven workflows, permission controls, and analytics help us get there," Catherine Choe, Director, Legal at Everlaw. "Ironclad has helped our team facilitate growth by dramatically speeding up the contract upload and review process, all while maintaining compliance and mitigating risk." These new AI tools come on the heels of the release of Ironclad Insights, a full-scale contract analytics and visualization platform. Because Ironclad automatically captures both metadata and process data, Insights allows users to create visualizations of crucial operational and business data to make faster decisions, pinpoint bottlenecks, and present findings in a digestible way for key stakeholders. About Ironclad Ironclad is the #1 contract lifecycle management platform for innovative companies, powering billions of contracts every year. L'Oréal, Staples, Mastercard, and other leading innovators use Ironclad to collaborate and negotiate on contracts, accelerate contracting while maintaining compliance and turn contracts into critical carriers of operational business intelligence. It's the only platform flexible enough to handle every type of contract workflow, whether a sales agreement, an HR agreement or a complex NDA.

Read More


DXC Technology Expands Global Partnership with Dynatrace, Accelerating Business Transformation for Customers

DXC Technology | October 31, 2022

DXC Technology, a leading Fortune 500 global technology services company, announced an expanded partnership with Dynatrace in which the Dynatrace® Software Intelligence Platform will become the preferred DXC Platform X™ software for observability and artificial intelligence-powered automated management of a customer's IT estate. DXC Platform X is a data-driven, intelligent automation platform that proactively helps detect, prevent, and resolve issues to achieve resilient, self-healing IT. The platform continuously evolves to bring DXC customers best-in-class solutions that meet their rapidly changing technology needs and help them be future ready with capabilities to deliver their desired business outcomes. Dynatrace provides AI-powered observability, which enhances proactive and intelligent automation. The enhanced partnership will deliver more efficient operations and improved performance across today's dynamic and complex hybrid and multicloud environments. With hundreds of DXC colleagues trained and certified on Dynatrace, the company can provide the needed expertise and services to deliver breakthrough digital experiences for its customers. "DXC customers depend on us to be a safe pair of hands, running their mission critical systems reliably and silently. "The addition of Dynatrace, with its unified and intelligent view across software products and technologies, helps us strengthen our predictive AIOps capabilities and drive cost optimization. This is another proof point in the ongoing progression of Platform X, on the heels of forming our ServiceNow Strategic Business Group, which was announced earlier this year. DXC is committed to continuously innovating, augmenting DXC proprietary capabilities with market-leading solution providers." Chris Drumgoole, DXC's Executive Vice President and Chief Operating Officer Underscoring the significance of this partnership, Dynatrace recognized DXC as the 2022 Partner of the Year in North America and 2022 Service Provider of the year in APAC and EMEA. To cement our successful partnership, DXC and Dynatrace have agreed to launch a joint strategic go-to-market program globally to bring an enhanced, intelligent, cross-service-line solution to customers worldwide. This will entail joint development, co-marketing and co-selling, events, and customer engagement. "This expanded partnership with DXC reflects an aligned vision for our customers of what is critical to achieving digital transformation at scale," said Rick McConnell, CEO at Dynatrace. "The combination of DXC's deep experience running and transforming mission-critical hybrid and multicloud systems for thousands of clients worldwide with the Dynatrace platform shortens the time between cloud decisions and successful cloud deployments. This is enabled by reducing complexity, delivering precise answers from the immense amount of data coming from modern clouds, and freeing up time through continuous, intelligent automation." DXC has been providing Zurich, a leading provider of commercial property-casualty insurance solutions and services, with advanced monitoring-as-a-service, built around the Dynatrace Software Intelligence Platform, for over five years. "DXC's service proactively monitors our critical applications ensuring maximum reliability and resiliency," said Paul Ruskusky - Vice President, Head of IT Infrastructure & Operations for Zurich North America. "This has helped to achieve our goals of simplifying operations, freeing up time for innovation, and delivering improved customer experiences." Today's enterprise customers need agile partners who continuously evolve to support them on their transformation journey, ensuring maximum performance and business outcomes from their existing and new IT investments. Enhancing DXC Platform X with the Dynatrace platform's full-stack, intelligent observability takes our solution to the next level, delivering increased operational efficiencies, and accelerated growth to drive greater customer impact. About DXC Technology DXC Technology helps global companies run their mission-critical systems and operations while modernizing IT, optimizing data architectures, and ensuring security and scalability across public, private and hybrid clouds. The world's largest companies and public sector organizations trust DXC to deploy services to drive new levels of performance, competitiveness, and customer experience across their IT estates.

Read More


Aivo's Video Conversational AI, the First AI Video Avatar Designed to Interact With Customers

Aivo | November 28, 2022

Aivo, a global leader in Artificial Intelligence (AI) applied to Customer Service, has developed a new way for companies to interact with their customers using AI and video. Aivo's Video Conversational AI is a solution developed together with Synthesia, the world’s largest AI video generation platform that turns text into video in minutes. “We’re very excited to finally launch Video Conversational AI. Brands are eager to keep innovating while consumers are more demanding than ever. It’s time to take innovation a step further, and we believe that Video Conversational AI will lead companies in that direction." Martin Frascaroli, CEO of Aivo Video Conversational Al allows companies to interact with their customers through a video chat with a virtual hyper-realistic AI-generated avatar. It can understand and respond to customer questions in real-time, as well as help companies learn with each conversation, becoming increasingly more effective at addressing each customer's situation. One of the most appealing features is that businesses can use an avatar generated from someone at the company or even a celebrity. This enables a more visually appealing customer experience aligned with each brand's identity. Aivo's Video Conversational AI tool is ideal for sectors that want to provide a premium experience, such as banking, e-Commerce, education and healthcare institutions, as the avatar can safely offer solutions to common and complex queries, such as technical support, product and service information, and transactional issues, to name a few. Overall, with this technology, companies can offer an empathetic, automated, and exclusive customer service experience. About Aivo Aivo is a global company founded in Argentina in 2012, specializing in automated conversational journeys powered by Artificial Intelligence for the business sector. To date, it has more than 200 clients and over 150 million user conversations. Aivo operates in the Americas, and Europe. For more information, visit About Synthesia Synthesia is an AI video platform founded in 2017 by a team of AI researchers and entrepreneurs, with offices across the globe. Our web-based platform allows users to generate videos at scale by simply typing text – without the need for cameras, microphones or studios – in over 80 languages and within minutes. Synthesia’s platform is currently used by more than 15,000 companies worldwide, from SMEs to the S&P 500.

Read More


Quickbase Bolsters its Enterprise Solution to Help Organizations Deal with Mounting Collaborative Complexity

Quickbase | October 13, 2022

Quickbase, the no-code platform for complex projects, today announced significant updates to its enterprise solution, designed to help portfolio managers and IT leaders get visibility and control across every element of their complex program mix. In recent years, businesses have seen the complexity in their portfolios balloon – while the labor market shrinks. As a result, the demand to handle more programs, more people and more systems with no-code work platforms like Quickbase has grown substantially. Yet, with that complexity and scale come increased concerns around performance and security. Quickbase has been working to fix that, according to CEO Ed Jennings. “Our goal at Quickbase is to eliminate all the disconnected, manual workflows that drag down delivery of complex projects. To do that, we’re investing in building confidence and clarity for everyone – from portfolio leaders to IT to executives,” said Jennings. “This new release is a big step forward for our industry, ensuring our customers can confidently tackle expansive workflows across the diverse systems they rely on, without worrying about performance or data security.” Quickbase powers application development and workflow management across 80% of the Fortune 500 companies today, such as Procter & Gamble and AT&T. Quickbase’s enterprise solution empowers business teams to see critical information, connect disparate data and automate workflows, while enabling IT to control the entire process with the right security and governance in mind. With this new launch, Quickbase is further boosting its capabilities to help enterprises manage complex projects across the organization by building more performant, scalable and secure applications through: Predictive performance insights and optimization capabilities that intuitively scan, monitor and automate optimizations across customer apps. This surfaces deeper insights and recommendations on potential improvements, allowing customers to fine tune app performance, drive more collaboration between teams and scale usage across the organization. A host of new integrations and connectivity updates, including Amazon S3, Procore, ServiceNow and on-premise data integrations. These drag-and-drop integrations enable teams to combine data, automate workflows and unlock greater insights to make better data-driven decisions. Enhanced security in the cloud with advanced data encryption in Amazon Web Services (AWS) and Azure KMS. This allows IT teams to centralize security management and consistently apply policies and standards for data and control, enabling business teams to safely scale usage across the organization. "We are continuously listening to our customers, and as users continue to build more apps, and scale them from departments to organization-wide use, we see an even greater need for enhanced performance and governance.” said Debbi Roberts, senior vice president of product management. “With these new features, we’re focused on how we can continue to build and evolve our enterprise solution around the growing needs of both mature and new customers looking to scale faster.” About Quickbase Quickbase helps customers see, connect and control every element of complex project portfolios. Whether it’s raising a skyscraper or orchestrating the roll out of 5G networks, the no-code software platform allows business users to custom fit solutions to the way they work – using information from across the systems they already have.

Read More