Anodot to Showcase Raw Streaming Data to AI-Based Analytics and Exhibit at O’Reilly’s Strata Data Conference
Anodot and AWS Will Discuss Complexities and Best Practices for Creating a Real-Time Machine Learning-Based Data Analysis Pipeline with Kinesis
Anodot, the AI-powered analytics company, will exhibit and demonstrate its unique AI analytics solutions at the O’Reilly’s Strata Data Conference in San Jose, CA on March 6-8. Additionally, its Co-Founder and Chief Data Scientist, Ira Cohen, will speak alongside Amazon Web Service’s Solution Architect and Principal Business Development Manager, Roy Ben-Alta at its session on Thursday, March 8th, 2018.
The session will focus on the complexities of collecting, storing, and processing billions of events per second in real time. Cohen and Ben-Alta will detail various design patterns as well as a solution that was implemented using Amazon Kinesis as a real-time event data processing pipeline to feed Anodot’s AI-based analytics service. This solution successfully discovered and alerted to anomalies in the data in real time, avoiding costly business incidents.
Cohen and Ben-Alta’s presentation will take place from 1:50 pm to 2:30 pm at the San Jose Convention Center in Expo Hall 1. At Anodot’s booth at the convention, number P17, attendees can gain more insight into how the company’s exceptional technology leverages machine learning to predict problems and capture otherwise lost revenue and opportunities for organizations.
In December last year, Anodot announced a Series B round, bringing its B funding total to $23 million. The additional $15 million investment was led by Redline Capital Management together with existing investors Aleph Venture Capital and Disruptive Technologies Venture Capital. In 2017, the company more than tripled its revenues, with customers such as Foursquare, Lyft, Microsoft, Pandora, Kenshoo, Appnexus, Comcast, Upwork and Waze (Google).
Explaining the company’s plan for 2018, Ira said, “Companies in retail, software, gaming and other industries have access to so much real-time data and for the most part, the insights are hidden from view among dozens of dashboards, or they are overwhelmed with alerts. In 2018, we aim to educate the market that they do not need to wonder how they can build a solution to detect anomalies in their data by themselves; Anodot’s AI-powered analytics can do it for them.”