LAS VEGAS, Nevada, November 28, 2017 — Anodot, an AI-powered analytics company, announced today at AWS re:Invent 2017 that it has achieved Amazon Web Services (AWS) Machine Learning (ML) Competency status. This designation recognizes Anodot as a SaaS/API Provider, offering a solution that enables predictive capabilities within customer applications.
Achieving the AWS ML Competency differentiates Anodot as an AWS Partner Network (APN) member that has built solutions that help organizations solve their data challenges, enable machine learning and data science workflows or offer SaaS/API based capabilities that enhance end applications with machine intelligence. Attaining the AWS ML Competency demonstrates to its customers that Anodot has validated ML expertise on AWS.
“Achieving AWS ML Competency status recognizes Anodot’s proven track record of using machine learning to uncover our customers’ business blind spots automatically and in real time,” said Anodot Chief Data Scientist and Co-Founder Ira Cohen. “Our team is dedicated to helping customers leverage their massive amounts of data to gain competitive advantage and prevent revenue or brand damage.”
AWS is enabling scalable, flexible, and cost-effective solutions from startups to global enterprises. To support the seamless integration and deployment of these solutions, AWS established the AWS Partner Competency Program to help customers identify Consulting and Technology APN Partners with deep industry experience and expertise.
Anodot’s AI Analytics uses patented machine learning algorithms to isolate and correlate issues across multiple data metrics in real time, supporting rapid business decisions. In effect, Anodot uses machine learning to discover and solve incidents that otherwise would become major losses for companies that could hurt revenue or damage a company’s brand. Anodot correlates the anomalies it discovers across multiple systems, such as AWS, business systems, application events, and more. Anodot and Amazon Web Services are working together to provide organizations critical observations using Machine Learning to give valuable business insights based on real time data analysis.
“Not every machine learning problem requires starting from scratch and building a custom solution, and not all of our customers have access to a dedicated data science team with the time and expertise to build a production workflow for large scale predictions,” said Joseph Spisak, Global Lead for Artificial Intelligence and Machine Learning Partnerships, Amazon Web Services, Inc. “We are delighted to welcome Anodot to the Artificial Intelligence and Machine Learning Competency Program to provide off-the-shelf machine learning solutions that can help speed time to market and bring intelligence to any application.”
One of the largest ad exchanges in the world, Rubicon Project uses proprietary computing systems to automate the buying and selling of advertising. Working with Anodot for more than two years, Rubicon’s systems process more than twice as many transactions as the Nasdaq stock exchange.
“We want the Supply and Demand Partners to know that we’re watching things very closely. Deviations in trading can have a devastating effect on both the advertisers and the exchange,” said Rich Galan, Director of Analytics at Rubicon Project, “With Anodot’s alerts and correlation capabilities, Rubicon can easily track all of the data in real time. We can determine if we need to reach out to a Partner in real time to fix an issue. We’re not just helping our business, we’re helping our partner’s business. That’s the level of service that we want to provide.”
Anodot illuminates business blind spots with AI-powered analytics, so you will never miss another revenue leak or brand-damaging incident. Its automated machine learning algorithms continuously analyze all your business data, detect the business incidents that matter, and identify why they are happening by correlating across multiple data sources. Anodot customers in fintech, ad-tech, web & mobile apps, and other data-heavy industries use Anodot to drive real business benefits like significant cost savings, increased revenue and upturn in customer satisfaction. The company was founded in 2014, is headquartered in Ra’anana, Israel, and has offices in Silicon Valley. Learn more at: http://www.anodot.com .