SIOS Technology has been granted two new patents from the United States Patent and Trademark Office, relating to technology advancements in developing machine learning-based IT analytics for finding and resolving application performance issues in computing infrastructures such as VMware.
U.S. Patent No. 9,772,871, titled “Apparatus and method for leveraging semi-supervised machine learning for self-adjusting policies in management of a computer infrastructure,” is the first of eight core innovations developed and implemented in SIOS iQ and covered by this patent. It validates the ability of SIOS iQ to perform unsupervised learning of an environment and its behaviors for use in IT operations for purposes such as automating performance root cause analysis, while permitting human input to be used to adjust its models.
U.S. Patent No. 9,910,707, titled “Interface for orchestration and analysis of a computer environment,” covers the Graphical User Interface (GUI) design in SIOS iQ. Specifically, the GUI is configured to provide a user with a single point of view into the computer infrastructure by converging application, compute, storage, and network behavioral attributes into higher order descriptive dimensions of IT operational quality covering performance, efficiency, reliability and capacity. With this configuration, the end user to can readily review the state of the computing environment in a single glance and efficiently explore and interact with the GUI to identify issues threatening operations and obtain recommended solutions.
Jerry Melnick, President and CEO, SIOS Technology, noted, “Virtual environments supporting applications have become enormously complex over the last 10 years. The skills and resources required to manage these infrastructures simply have not kept up, compromising IT’s ability to meet business needs. Companies will need to turn to analytics solutions driven by AI and machine learning out of necessity. These next generation tools help companies understand and prevent problems that threaten service delivery, and vastly simplify and optimize their operations.”
According to Sergey Razin, Ph.D, CTO, SIOS Technology, “We’re very proud of our industry-first innovations that combine the power of machine learning with a highly intuitive interface. For the first time, using SIOS’ patented data visualization and graphical interface, users can instantaneously identify and visually see the interactions of resources across compute, storage, network and applications that are impacting their operations.”
The Latest
For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...
Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...
Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...
Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...
Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...
AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...
More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...
In MEAN TIME TO INSIGHT Episode 21, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses AI-driven NetOps ...
Enterprise IT has become increasingly complex and fragmented. Organizations are juggling dozens — sometimes hundreds — of different tools for endpoint management, security, app delivery, and employee experience. Each one needs its own license, its own maintenance, and its own integration. The result is a patchwork of overlapping tools, data stuck in silos, security vulnerabilities, and IT teams are spending more time managing software than actually getting work done ...
2025 was the year everybody finally saw the cracks in the foundation. If you were running production workloads, you probably lived through at least one outage you could not explain to your executives without pulling up a diagram and a whiteboard ...