We recently took a closer look at data made publicly available by the Bay Area Bike Share to see if we could find some anomalies by streaming the available data into Anodot's business incident detection system. The company, based in the San Francisco, set up bike rental stations throughout the Bay Area. Users can sign up for a 24-hour, 3-day or annual membership, which grants access to the bikes.
Like most web based businesses and SaaS companies, one of our go-to tools for a quick check of the usage of our service is Google Analytics. Typically we log in and we see the pleasing wave of application traffic, with the predictable seasonal drops during the weekend, and increases during the week. We get a daily report of usage per customer and look at the main flows in our service.
We recently announced a version upgrade to the Anodot service that included a new feature: Anomaly Dashboards, aka Anoboards.
Online businesses are a natural fit for Anodot, and we are seeing rapid adoption in companies that live and breathe the online world, and live and breathe data.
Predictive maintenance will help companies save $630 billion by 2025, according to McKinsey. However, a new paradigm is required for analyzing real-time IoT data.
I'm excited to share this new customer case study in the ad tech industry.
The stands have emptied. The Broncos and the Panthers played a great game. And of course, Lady Gaga just might have been the best musical performance during the game…and possibly ever…I digress…
Everyone knows that scoring ad time during the Super Bowl is a turning point for any business. The Super Bowl is, perhaps, the pinnacle of advertising. Many have wondered, though, if the high ticket price and the effort to create a spectacular ad is actually worth it. Companies pull out all the stops. They push all boundaries and spare no cost. But is it really worth it? Do those ads actually...
In a recent post on StreamingMedia.com, Dan Rayburn shares his insights gained from an interview with David Drai, founder of Anodot. Drai spoke with Rayburn about the challenges that CDN operators face and how machine learning can help. Today’s CDN providers still have not found a way to optimize visibility in order to correct basic issues including increased HTTP errors, IO access or rates of...
In a new article on DevOps.com, Chris Riley reviews how Internet leader Wix, leveraging machine learning for full visibility, monitors its complex DevOps environment with Anodot.