Josh Bycer from Game Wisdom sat down with Anodot's Ira Cohen and Rebecca Herson to discuss how things are changing with the mobile market, and the work Anodot is doing in the field of analytics.

The first in our 3-part guide to anomaly detection covers the components necessary to designing a machine learning-based anomaly detection system.

In this session from the 2016 Strata Data Conference in New York, Anodot Co-Founder and Chief Data Scientist Ira Cohen outlines a system that performs real-time machine learning and analytics on streams at massive scale.

Just as our company is committed to providing an innovative real-time business incident detection solution for our customers, we are also committed to giving back to our community. We are pleased to announce our recent partnership with Tmura, a foundation established by leading Israeli venture capital funds to involve the high-tech sector in supporting charitable activities. Innovative, early-stage companies with potential for growth donate options to the Tmura Foundation, which are convertible (at exit) into equity. When the company has an exit, Tmura sells its shares and donates the proceeds to various education and youth-related charities in Israel. We are proud to join Tmura's more than 470 donor companies including Waze, Wix, M-Systems (now SanDisk), CyberArk and eXelate, who have already contributed more than $13.9 million to help various organizations throughout the country. Some of the organizations who have received funding from Tmura include: Big Brothers Big Sisters of Israel - affiliated with the international Big Brothers umbrella Chinuch L’Psagot - enrichment program focusing on students with potential to excel HaGal Sheli - working with at-risk youth, using surfing as an educational tool HiddenSparks - develops and supports professional development programs to help increase understanding and support for teaching to diverse learners Machshava Tova - computer centers in peripheral areas to “narrow the digital gap” MEET - educational excellence program, empowering Israeli and Palestinian young leaders Tasa/Olim Beyahad - internship program for exceptional Ethiopian Israeli university students We are happy to have this opportunity to make a difference in our community.

NetSeer provides market leading visual monetization solutions for advertisers and publishers backed by its patented ConceptGraph™ intent engine. The company's InImage advertising solution is changing the game in the industry as it delivers exceptional performance across desktop, mobile, and video inventory. As a leading adtech company, Netseer sees a large portion of internet traffic and uses its algorithms to analyze the content, bringing these together to provide publishers with targeted ads, and bidding on advertising exchanges. Before finding Anodot, they tried several tools such as Graphite and alerting systems to track the company’s business and operational KPIs, yet they still were not alerted accurately or in a timely manner on key business problems they were facing. And then they found Anodot. With Anodot, NetSeer easily pulled in their Graphite data and immediately benefited when we highlighted issues by detecting anomalies in the streaming data. Previously, NetSeer only received singular elements of detection and reporting and the team spent time patching everything together to get the information they needed. Soon, more and more departments will be able to benefit from Anodot insights. “We’re adopting Anodot throughout practically the whole company. We started with monitoring our infrastructure, and then quickly saw the benefit to tracking key product and campaign KPIs. I can’t imagine a day going by without our teams checking how we are doing on Anodot,” said Amir Bakhshaie, Head of Product at NetSeer. Click here to read the summary (with a link to download the full case study) and find out how with Anodot, one solution works together, integrated with Graphite to provide this ad tech company complete business incident detection and notification.  

Delayed business insights cost companies millions of dollars. Data-centric companies like Web-based businesses, AdTech, FinTech and IoT face unique challenges because it is impossible to manually track the millions of metrics that are generated in today's digital businesses. Static thresholds for seasonal data are either meaningless or cause alert-storms. So...what can we do? This was the discussion topic of Anodot’s first Meetup last week at the Google Headquarters in Mountain View, CA. The crowd started arriving early eager to mingle with a pizza slice in hand. Networking had officially started! The atmosphere was lively, voices echoed throughout the room. The entire Anodot US team was present and ready to socialize. The second part of the evening was slowly approaching and the 150 Google chairs started filling up. Folks came to learn how to avoid business insight latency, and thus save $$, and we were anxious to provide the answers. First up was Anodot’s own Uri Maoz, VP of US Business. “What is real-time business incident detection?” he asked. The crowd went wild! No...not yet. But they did enjoy Uri’s unique sense of humor and the discussion around how predictive anomaly detection can identify revenue-impacting business incidents in minutes(!) not days or weeks. Uri explored the benefits and challenges of implementing Anomaly Detection, and also shared industry benchmarks and customer case studies. Questions poured in at the end. Click here for the full Facebook Live video of Uri's presentation. Next up was Corey Gilmore, PMC Chief Architect. He shared details about PMC challenges with gaining real time insights from Google Analytics (using current BI tools) and how these challenges can be overcome with Anomaly Detection. Click here for the full video of Corey's presentation. Last but not least, Greg Pendler, Sr. Director of Technical Operations at Netseer, took the stage. Greg discussed the implementation of Anomaly Detection in AdTech. Specifically, he unveiled the contribution of Anomaly Detection in analysis of business and technical data across multiple teams and how Anomaly Detection saved the company money! Click here for the full video of Greg's presentation. Anodot’s Founder and Chief Data Scientist, Ira Cohen, was also present. He reflected on two remarks from Greg's presentation that resonated with him: Trust in the anomalies. and Business (data) is where anomalies shine. Additionally, three lucky winners walked out with amazing $150+ prizes and a smile on their face. Actually, everyone left happy. One attendee thanked us for organizing an educational event. Another attendee wrote on the Meetup page: “Made very simple to understand, got a good return of time invested.” Score! We’d like to thank all who attended and contributed to this important discussion, our speakers who shared insights, the Google team for hosting us and @TeamAnodot for executing our first Meetup successfully! We look forward to hosting many, many more. Cheers!

We've been tracking the elections with our own business incident detection solution for the past several weeks, and it's been so interesting to see the day to day elements of the campaigns such as debates or key news stories affect certain metrics. As I explained in this previous post, we have been using the word "donate" together with the candidates' last name to measure support of the candidates, analyzing time series metrics from Google Trends. Besides "donate," we've followed key terms such as "women," "taxes, and "Russia." If we look at the three presidential debates together, it is easy to see that there was an increase in donation searches for both candidates immediately following the debates. Interestingly, however, Trump's donation interest was significantly lower overall than Clinton's, and reached its biggest peak after the second debate. The bump after the third debate was fairly small for Trump, whereas Clinton's hit the 100 mark. What did jump sky high, however, for Trump, was the word "Russia", much more so than Clinton who also saw an increase. Makes sense after Russia featured so prominently in the third debate. I daresay the data may indicate that support is waning for Trump - either that or his supporters are running out of money. Tying it back to the business world...these graphs demonstrate why it's so important to correlate events with data metrics, since an anomaly (e.g. the jump in online searches for the candidate's name & the word donation) is often correlated to an event. In this case the events were the debates, however other types of events more related to our customers' world include holidays, extreme weather, marketing campaigns, and more.    

Jason Bloomberg – a leading industry analyst and globally recognized expert on agile digital transformation – takes a closer look at how real-time anomaly detection is a game changer for digital technology companies.

As a leading adtech company, Netseer provides publishers with targeted ads, and bidding on advertising exchanges. Anodot provides real-time business insights to quickly identify performance issues.