SYS-CON MEDIA Authors: Elizabeth White, Pat Romanski, Liz McMillan, Yeshim Deniz, Courtney Abud

News Feed Item

Anodot's New Patents Ensure Fast and Accurate Autonomous Analytics for Better Data-Driven Insights

SUNNYVALE, California, October 11, 2018 /PRNewswire/ --

Anodot, the autonomous analytics company, today announced that the United States Patent and Trademark Office has granted the company two patents, recognizing the core underlying innovations that make Anodot the leader of autonomous analytics.

The new patents build on Anodot's success in helping top enterprises all over the world leverage machine learning based anomaly detection to achieve more predictable results. By swiftly pinpointing the scope and source of problems within massive amounts of data, Anodot's patented algorithms deliver faster-time-to detection and root cause analyses than traditional BI tools and dashboards.

System and Method for Transforming Observed Metrics into Detected and Scored Anomalies," (U.S. Patent 20160147583A1) makes it possible to identify and analyze anomalies by comparing them to past anomalies and to determine their level of sensitivity.  Rather than relying on statistical analysis of potential issues like traditional BI tools, Anodot trains its machine learning algorithms based on perception and captures data insights through human behavior.

"By leveraging machine learning and artificial intelligence capabilities, we're able to tap into human perception and identify business incidents that other BI tools would never find, giving our customers the cutting edge they need," said Dr. Ira Cohen, Anodot's co-founder and Chief Data Scientist.

Fast automated detection of seasonal patterns in time series data without prior knowledge of seasonal periodicity," (US Patent 10061677B2) identifies seasonal trends and detects issues in weekly and daily patterns for the faster and more accurate detection of business incidents. With this patented technology, Anodot's autonomous analytics alerts customers about issues in real time and delivers accurate analysis.  

Anodot's pending patent, "Heuristic Inference of Topological Representation of Metric Relationships," (US20160210556A1) investigates root causes and alerts customers immediately.  With this technology, Anodot can detect business incidents in real time, avoid false positives and minimize impact on customer ROI. Unlike other methods used by traditional BI tools, Anodot's AI/ML provides correlations between different time series data, evaluating each individual metric faster than a human can.

"Anodot's patented technology signifies that the company is a leader and driver in the autonomous analytics space," said Amit Levi, Anodot's VP, Head of Product. "We will continue to invest in developing new innovative technologies that ensure that our customers fully utilize their data to make better and more timely business decisions."

About Anodot 

Anodot applies AI to deliver autonomous analytics in real time, across all data types, at enterprise scale. Unlike the manual limitations of traditional BI, we provide analysts mastery over their business with a self-service AI platform that runs continuously to eliminate blind spots, alert critical issues and investigate root causes. Anodot has nearly 100 customers in digital transformation industries like eCommerce, FinTech, AdTech, Telco, Gaming, including Microsoft, Lyft, Waze, Pandora, Appnexus, Wix and King. Anodot is headquartered in Silicon Valley and Israel, with Sales offices worldwide. To learn more, visit us at http://www.anodot.com and follow us on LinkedIn, Facebook and Twitter.

For more information, please contact:

Molly Meller
[email protected]
+1-732-865-3998

SOURCE Anodot

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories
Intel is an American multinational corporation and technology company headquartered in Santa Clara, California, in the Silicon Valley. It is the world's second largest and second highest valued semiconductor chip maker based on revenue after being overtaken by Samsung, and is the inventor of the x86 series of microprocessors, the processors found in most personal computers (PCs). Intel supplies processors for computer system manufacturers such as Apple, Lenovo, HP, and Dell. Intel also manufactu...
Is advanced scheduling in Kubernetes achievable?Yes, however, how do you properly accommodate every real-life scenario that a Kubernetes user might encounter? How do you leverage advanced scheduling techniques to shape and describe each scenario in easy-to-use rules and configurations? In his session at @DevOpsSummit at 21st Cloud Expo, Oleg Chunikhin, CTO at Kublr, answered these questions and demonstrated techniques for implementing advanced scheduling. For example, using spot instances and co...
Conor Delanbanque has been involved with building & scaling teams in the DevOps space globally. He is the Head of DevOps Practice at MThree Consulting, a global technology consultancy. Conor founded the Future of DevOps Thought Leaders Debate. He regularly supports and sponsors Meetup groups such as DevOpsNYC and DockerNYC.
"There is a huge interest in Kubernetes. People are now starting to use Kubernetes and implement it," stated Sebastian Scheele, co-founder of Loodse, in this SYS-CON.tv interview at DevOps at 19th Cloud Expo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
At CloudEXPO Silicon Valley, June 24-26, 2019, Digital Transformation (DX) is a major focus with expanded DevOpsSUMMIT and FinTechEXPO programs within the DXWorldEXPO agenda. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of business. Only 12% still survive. Similar percentages are found throug...
Today most companies are adopting or evaluating container technology - Docker in particular - to speed up application deployment, drive down cost, ease management and make application delivery more flexible overall. As with most new architectures, this dream takes significant work to become a reality. Even when you do get your application componentized enough and packaged properly, there are still challenges for DevOps teams to making the shift to continuous delivery and achieving that reducti...
Here to help unpack insights into the new era of using containers to gain ease with multi-cloud deployments are our panelists: Matt Baldwin, Founder and CEO at StackPointCloud, based in Seattle; Nic Jackson, Developer Advocate at HashiCorp, based in San Francisco, and Reynold Harbin, Director of Product Marketing at DigitalOcean, based in New York. The discussion is moderated by Dana Gardner, principal analyst at Interarbor Solutions.
Skeuomorphism usually means retaining existing design cues in something new that doesn’t actually need them. However, the concept of skeuomorphism can be thought of as relating more broadly to applying existing patterns to new technologies that, in fact, cry out for new approaches. In his session at DevOps Summit, Gordon Haff, Senior Cloud Strategy Marketing and Evangelism Manager at Red Hat, discussed why containers should be paired with new architectural practices such as microservices rathe...
In 2014, Amazon announced a new form of compute called Lambda. We didn't know it at the time, but this represented a fundamental shift in what we expect from cloud computing. Now, all of the major cloud computing vendors want to take part in this disruptive technology. In his session at 20th Cloud Expo, John Jelinek IV, a web developer at Linux Academy, will discuss why major players like AWS, Microsoft Azure, IBM Bluemix, and Google Cloud Platform are all trying to sidestep VMs and containers...
Using serverless computing has a number of obvious benefits over traditional application infrastructure - you pay only for what you use, scale up or down immediately to match supply with demand, and avoid operating any server infrastructure at all. However, implementing maintainable and scalable applications using serverless computing services like AWS Lambda poses a number of challenges. The absence of long-lived, user-managed servers means that states cannot be maintained by the service. Lo...
With the new Kubernetes offering, ClearDATA solves one of the largest challenges in healthcare IT around time-to-deployment. Using ClearDATA's Automated Safeguards for Kubernetes, healthcare organizations have access to the container orchestration to dynamically deploy new containers on demand, monitor the health of each container for threats and seamlessly roll back faulty application updates to a previous version, avoid system-wide downtime and ensure secure continuous access to patient data.
As Apache Kafka has become increasingly ubiquitous in enterprise environments, it has become the defacto backbone of real-time data infrastructures. But as streaming clusters grow, integrating with various internal and external data sources has become increasingly challenging. Inspection, routing, aggregation, data capture, and management have all become time-consuming, expensive, poorly performing, or all of the above. Elements erases this burden by allowing customers to easily deploy fully man...
Applications with high availability requirements must be deployed to multiple clusters to ensure reliability. Historically, this has been done by pulling nodes from other availability zones into the same cluster. However, if the cluster failed, the application would still become unavailable. Rancher’s support for multi-cluster applications is a significant step forward, solving this problem by allowing users to select the application and the target clusters, providing cluster specific data. Ranc...
StackRox helps enterprises secure their containerized and Kubernetes environments at scale. The StackRox Container Security Platform enables security and DevOps teams to enforce their compliance and security policies across the entire container life cycle, from build to deploy to runtime. StackRox integrates with existing DevOps and security tools, enabling teams to quickly operationalize container and Kubernetes security. StackRox customers span cloud-native startups, Global 2000 enterprises, a...
With the rise of Docker, Kubernetes, and other container technologies, the growth of microservices has skyrocketed among dev teams looking to innovate on a faster release cycle. This has enabled teams to finally realize their DevOps goals to ship and iterate quickly in a continuous delivery model. Why containers are growing in popularity is no surprise — they’re extremely easy to spin up or down, but come with an unforeseen issue. However, without the right foresight, DevOps and IT teams may lo...