Corvil announced Intelligence Hub, providing digital intelligence to improve the performance, agility and digital experience of today’s modern businesses. Intelligence Hub offers the potential to dramatically change how organizations see, manage and optimize their business and supporting technology operations.
Intelligence Hub provides proactive alerting on changes in these dimensions and allows business and operations teams to flexibly visualize, explore and analyze this key information for more informed action.
Applying machine learning and big data analytics to Corvil’s unique capture of high fidelity business data from the network, Intelligence Hub accurately identifies anomalies, triages areas of greatest concern, and has capabilities to predict conditions for improved planning.
“We believe digital intelligence will become one of the most valuable sources of actionable business and operational insight for companies to achieve superior digital experiences and influence their wider business strategy,” said Donal Byrne, Corvil CEO. “In addressing the disparities between digital vision and digital performance, Intelligence Hub has made it easy for companies to turn the vast volumes of customer transactions, preferences, communications, etc. they generate into powerful, real-time, correlated and self-service insight, enabling them to move fast and stay secure in the digital world.”
Corvil Analytics engines provide a rich, precision-sequenced, and normalized source of data from network communications, creating an ideal dataset for AI application. Rapidly deployable, Intelligence Hub ingests this real-time streaming data, as well as certain external data sources and, correlating performance anomalies, highlights areas for action. To enable efficient investigation and analysis workflows, Intelligence Hub maintains a full record and traceable links to source data.
Intelligence Hub also provides a comprehensive set of easy-to-use, visualizations, allowing multiple teams (business, IT operations, network, security, risk and compliance, etc.) to see, explore, and perform multidimensional analyses of the information of greatest relevance and share findings in a consumable manner.
Example insights and analyses:
- Business teams can see, and be alerted to, changes in customer or business behaviors relating to areas such as total business transacted, individual orders, products, conversion or fill rates, and response times
- IT Operations teams can more efficiently and proactively manage their environments with flexible exploration and alerting to changes in areas such as user response and performance by service or application tier, resources in use by device and account, or activity by location
- Security Operations teams can see correlated risk levels across dimensions of users, devices, resources, and patterns as well as be alerted to user behaviors that differs from department profile or changes in machine access
“We have designed Intelligence Hub with accessibility and extensibility in mind, to offer an intuitive user experience for multiple roles and to enable them to apply machine learning-driven anomaly detection to the data elements they each deem most important,” said Donal O’Sullivan, Corvil, VP, Product Management. “Consequently, it has the power to shift roles of IT Ops and Sec Ops from executing IT delivery objectives to digital leaders driving more business-based measures.”
Dennis Drogseth, Enterprise Management Associates VP, said: "Corvil’s Intelligence Hub combines dynamic and reliable rich data with machine learning and persona-driven awareness. As such, the Intelligence Hub can serve as a bridge to enable superior IT-to-business alignment, with unique insights into business ecosystem interdependencies as well as application and infrastructure behaviors. In parallel, it can help to bridge operations and security requirements to support superior levels of efficiency on both sides of the Sec/NetOps handshake, and in this way unify IT more effectively as a whole.”
Corvil Intelligence Hub is a software solution, deployable on customer hardware or in the cloud and can be easily scaled out to support the needs of organizations of all sizes. It is currently in use by early adopter customers and will be generally available later this summer.
The Latest
The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...
Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...
If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...
In a 2026 survey conducted by Liquibase, the research found that 96.5% of organizations reported at least one AI or LLM interaction with their production databases, often through analytics and reporting, training pipelines, internal copilots, and AI generated SQL. Only a small fraction reported no interaction at all. That means the database is no longer a downstream system that AI "might" reach later. AI is already there ...
From Fragmented Systems to Intelligent Platforms: An ITIL+ Playbook for Enterprise IT Transformation
In many organizations, IT still operates as a reactive service provider. Systems are managed through fragmented tools, teams focus heavily on operational metrics, and business leaders often see IT as a necessary cost center rather than a strategic partner. Even well-run ITIL environments can struggle to bridge the gap between operational excellence and business impact. This is where the concept of ITIL+ comes in ...
UK IT leaders are reaching a critical inflection point in how they manage observability, according to research from LogicMonitor. As infrastructure complexity grows and AI adoption accelerates, fragmented monitoring environments are driving organizations to rethink their operational strategies and consolidate tools ...
For years, many infrastructure teams treated the edge as a deployment variation. It was seen as the same cloud model, only stretched outward: more devices, more gateways, more locations and a little more latency. That assumption is proving costly. The edge is not just another place to run workloads. It is a fundamentally different operating condition ...
AI can't fix broken data. CIOs who modernize revenue data governance unlock predictable growth-those who don't risk millions in failed AI investments. For decades, CIOs kept the lights on. Revenue was someone else's problem, owned by sales, led by the CRO, measured by finance. Those days are behind us ...
Over the past few years, organizations have made enormous strides in enabling remote and hybrid work. But the foundational technologies powering today's digital workplace were never designed for the volume, velocity, and complexity that is coming next. By 2026 and beyond, three forces — 5G, the metaverse, and edge AI — will fundamentally reshape how people connect, collaborate, and access enterprise resources ... The businesses that begin preparing now will gain a competitive head start. Those that wait will find themselves trying to secure environments that have already outgrown their architecture ...
Ask where enterprise AI is making its most decisive impact, and the answer might surprise you: not marketing, not finance, not customer experience. It's IT. Across three years of industry research conducted by Digitate, one constant holds true is that IT is both the testing ground and the proving ground for enterprise AI. Last year, that position only strengthened ...