As the customer experience has moved almost entirely online, finding and fixing issues before they impact your conversions, retention, and revenues has become an increasingly complex task. In this article, two real-world examples are presented from the gaming and eCommerce industry that showcase the limitations of static thresholds and the impact that has on customer experience.
Anodot is the only monitoring solution built from the ground up to find and fix key business incidents, as they’re happening. As opposed to most monitoring solutions, which focus on machine and system data to track performance, Anodot also monitors the more volatile and less predictable business metrics that directly impact your company’s bottom line. Now there’s an easy way to measure the business impact of every incident.
In the first and second part of the blog series, we discussed the importance of correlation analysis in root cause analysis in general and in the context of promotional marketing. In a similar vein, in this blog we walk through how to leverage correlation analysis to address challenges in the telecom space.
With the speed of change in artificial intelligence (AI) and big data, podcasts are an excellent way to stay up-to-date on recent developments, new innovations, and gain exposure to experts’ personal opinions, regardless if they can be proven scientifically. Great examples of the thought-provoking topics that are perfect for a podcast’s longer-form, conversational format include the road to AGI, AI ethics and safety, and the technology’s overall impact on society.
During Anodot’s week-long Data World event, I hosted a panel with tech leaders Amiram.
During the Data World event, Erwin Halmans, Project Manager of Data-Driven Network Operations & Assurance at T-Mobile Netherlands, Shounit Lax-Swisa, CEO of Company Booster, and Anodot Chief Data Scientist and Co-Founder Ira Cohen got together to discuss the future of network monitoring.
Alicorn Global Ventures has completed an investment of $3 million in Anodot. Recently included in Forbes’ Top 20 Machine Learning Startups to Watch and a leading vendor in the fast-expanding AI analytics space, Anodot is helping companies such as Vimeo, Xandr, Atlassian and T-Mobile to leverage artificial intelligence to surface business incidents much faster and prevent loss.
Anodot CEO and Co-Founder David Drai joined Amazon Web Services and Xandr to discuss the shift to machine learning-based anomaly detection in business monitoring. Xandr Chief Technology Officer Ben John shared how their advertising marketplace is using Anodot platform to cut detection from “up to a week to less than a day”. You can watch the webinar at the link above or read on for the highlights of that talk.
AIOps adoption is on the rise. According to Gartner, by 2023 40 percent of DevOps teams will augment application and infrastructure monitoring tools with AIOps platform capabilities. Use cases are also expanding beyond IT to include IT Service Management (ITSM), digital experience monitoring (DEM), DevOps, Application Performance Monitoring (APM) and third party services.
With the pandemic forcing businesses worldwide to reboot, many have no choice but to exact drastic cost-cutting measures to keep the lights on. Cloud computing is an expense incurred by every digital business that, unlike many other operating costs, is largely variable.
