May 4, 2017
Anodot’s approach to business intelligence (BI) is to use automated anomaly detection systems to discover the important signals in vast amounts of data noise, and to find the anomalies and correlate them across different data. It then turns that information into business insights. Here, ZDNet spoke to Anodot’s founder and CEO, David Drai, to find out more about the company’s technology.
April 19, 2017
Time-series data represents one of the most challenging data types for businesses and data scientists. The data sets are often very big, change continuously, and are time-sensitive by nature. In this article, Alex Woodie offers a concise history and overview of Anodot, one company that’s carving a path through this big data opportunity, focusing on using machine learning techniques to spot anomalies in time-series data, in real time.
April 2, 2017
An Anodot shout-out from Blue Hill Research after Ira Cohen, Anodot Chief Data Scientist, met with analyst Toph Whitmore at Strata + Hadoop.
March 29, 2017
Startups, including Anodot, are using AI to improve and expand credit offerings, insurance options, personal finance services, and regulatory software.
March 28, 2017
Monitoring a business means monitoring an entire business – not just IT or application performance. If businesses truly care about differentiating themselves from the competition, they must approach monitoring holistically. Separate, siloed monitoring systems are quickly becoming a thing of the past.
March 20, 2017
Some observations about new major trends and directions in data science drawn from the Strata+Hadoop conference in San Jose last week.
March 28, 2017
Above the Trend Line: machine learning industry rumor central, is a recurring feature of insideBIGDATA. In this column, they present a variety of short time-critical news items such as people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.
March 27, 2017
Israeli startup Anodot uses machine learning and time-series data to monitor business metrics and identify anomalies that might take data analysts days to figure out.
March 23, 2017
A short round-up of the Strata Data Conference (formerly Strata + Hadoop) in San Jose with a focus on machine learning plus new developments including Anodot’s entire focus on business-oriented ML insights.
March 22, 2017
Für die Analyse und das Verständnis bestimmter Sachverhalte ist eine kontinuierliche Überwachung bestimmter Einflüsse notwendig. Doch um eine Situation überhaupt untersuchen zu können, muss zunächst festgelegt werden, nach welchen Kriterien diese Beobachtung stattfinden soll. In welchem Bereich spielen sich bestimmte Abläufe ab? Nach welchen Aspekten und Einflüssen muss etwas beobachtet werden, um bestimmte Erkenntnisse gewinnen zu können?
March 19, 2017
Intelligence solutions available today are no match for the technology of tomorrow. As the future continues to become automated, companies are going to need lightning fast intelligence on how their operations are running in order to maintain status-quo.
March 16, 2017
Anodot, the real time business incident detection and analytics company, today released important indicators regarding its 2016 performance, far outpacing typical business-to-business startups in their first year of sales and suggesting significant market need and acceptance of Anodot’s product.
March 13, 2017
As automation technologies play an increasingly great role in everyday life, their potential impact is naturally drawing public attention. This article introduces some leading innovations that relate to automation – one of the hottest trends in modern technology – including Automating BI, with input from Anodot CEO David Drai.
March 5, 2017
In this post our own Avi Avital, VP Customer Success, discusses the need to empower analytics with anomaly detection capabilities and how this adjunct is becoming a major component of the next wave of BI, or BI 2.0. Avi has an extensive experience in global organizations spanning multiple industries leading technology organizations. In his last role Avi led the Logging and Monitoring product team for PayPal building large scale real-time monitoring platform; he also formed a community of monitoring professional from the leading tech brands. Avi is passionate about driving business value through innovative technologies.
February 6, 2017
A few weeks ago, an Amazon Alexa-related issue cascaded from one house to many, but according to one company, it was entirely avoidable. And while this incident was benign and easily resolved, the issue itself is indicative of a bigger problem: How do we detect and recognize when our AI-controlled systems get something wrong?
January 8, 2017
The emergence of business intelligence was supposed to finally enable businesses to truly utilize the massive amounts of data running through their systems. When the field initially began, offering visualizations or basic parameter settings to detect business incidents, the overwhelming feeling was optimistic that from these beginnings — however humble — the BI sector could begin to unlock new truths hiding right under the nose of the average analyst.
January 4, 2017
Predicting the future is hardly a precise science, but identifying macro trends and developments can be done by paying close attention to what’s happening in an industry. Here’s what a handful of small businesses, startups and analysts are seeing in th…
January 4, 2017
This is Part 5 of a 5-part series on 5 Disruptions to Marketing. The other parts in the series include: Part 1 – Digital transformation redefines “marketing” beyond the marketing department, Part 2 – Microservices & APIs (and open source) form the…
December 28, 2016
In many organizations, big data and analytics reside somewhere between the IT organization and marketing. That’s primarily because of the technical barriers around the stop-and-start nature of most analytics programs. To get an answer to a business question, someone — typically with some technical chops — has to write a query on the data to get at the answers.
December 25, 2016
The holiday season is a peak time for e-commerce transactions, but also for the advertising that fuels them. Downtime or slowdowns can be disastrous for companies trying to put forth the latest promotions through online advertising, but the complexity…
December 15, 2016
If you have ever looked at logs or long lists of recordings, you know how hard it is to spot slight variations, or even major anomalies efficiently. In the world of massive quantities of data generated by sensors everywhere, the ability to intelligently identify trends, seasonality and the real outliers is critical. Anodot does it simply and elegantly. In this guest blog post, the Anodot team introduces their business intelligence solution and how it works to provide incident detection with ARTIK Cloud.
December 14, 2016
CEO and Founder of Anodot, David Drai writes for TechBullion about how business intelligence is making FinTech successful.
December 14, 2016
“Gartner has earmarked Anodot as one of the five “Cool Vendors in Analytics, 2016” which is redefining the types of analyses that can help organizations perform better with their innovative solutions, technologies and business model.” Find out more via a Q&A on Read It Quik with Rebecca Herson, Anodot VP of Marketing.
December 8, 2016
Anomalie-Erkennung gewinnt mit der wachsenden Zahl datengetriebener Unternehmen immer mehr an Bedeutung. Hier setzt das junge Tech-Unternehmen Anodot mit seinen patentierten Machine Learning-Algorithmen an, das eine SaaS-Lösung zur Echtzeit-Analyse und automatisierten Anomalie-Erkennung anbietet.
December 8, 2016
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.
December 1, 2016
Wenn der Umsatz gleicht bleibt, obwohl die Anzahl an Bestellungen steigt, liegt ein Fehler vor. Anomalieerkennung hilft bei der Schadensbegrenzung.
November 29, 2016
Big data may be exploding all around us, but our brains can only handle so much information at a time. As this divergence continues to grow, it raises the bar on the tools we depend on to present us with the insights we need to get our jobs done.
November 15, 2016
Joel Anderson from Equities talks polar bears, payment systems and pinpointing problems at the recent Money 2020 Conference with Uri Maoz, Anodot’s VP US Sales & Business Development.
November 10, 2016
The combination of customer-driven digital priorities and relentless technology innovation are driving an explosion in the financial technology (fintech) market. This burgeoning segment includes lending, personal finance, payments, remittances, transaction processing, and more.
October 30, 2016
Business Incident and Anomaly Detection Company Empowers FinTech Companies with Unprecedented Business Intelligence Insights to Prevent Crises and Highlight Opportunities
October 30, 2016
There’s a looming data-ingestion bottleneck. Come to think of it, there’s nothing “looming” about it. It’s already here. And unless we do something about it, it’s only going to get worse. Call it a human problem. Call it a symptom of a business model incented to scale exponentially. Call it an outcome of data growth. Call it a moved bottleneck. Call it what you will, but it is, in simple terms, an all-too-human problem: Our ability to store data scales. Our ability to consume it does not.
October 19, 2016
In this special guest feature, David Drai, CEO of Anodot, discusses why he believes that sooner than later companies selling static, ask-and-answer BI models will become Nokia’d; outmoded and replaced by data scientists who build actually intelligent and relevant solutions that the BI market has been missing for years.
October 5, 2016
An overview of Strata NYC 2016 and lessons learned by Toph Whitmore.
October 2, 2016
O’Reilly’s New York-based Strata+Hadoop World conference is one of the largest big data conferences in the world today, featuring hundreds of vendors touting innovative solutions – yet most of them select from the same small handful of phrases to assemble their marketing messages. Big data. Streaming data. Real-time. Analytics. Data lakes. And open source Apache projects Hadoop, Spark, and Kafka. In spite of this limited vocabulary, disruptive innovations abound – and furthermore, many of them are maturing. One oft-repeated theme at the conference: we’re past the “science project” phase of big data and onto the business value, enterprise-grade phase.
October 1, 2016
Several years ago, I was working as the CTO of a major tech company with significant operations around the world. One morning, while reviewing our daily collected figures, I noticed something odd. I determined that we were facing a significant sales drop in one of our most important target regions. We immediately scrambled all the relevant people in our department and began combing through our data to try to identify what the problem was and how to fix it. In a matter of days, we had identified the source and created an effective way to counter the problem, yet the scars of the experience were lasting and deep.
September 28, 2016
Anodot is honored to have been named one of Israel’s 16 most promising startups by Globes.
September 26, 2016
Business Incident and Anomaly Detection Company Extends International Reach with New Office in Germany
September 22, 2016
Business intel and anomaly detection tool Anodot is looking for what doesn’t make sense. “Traditional BI and visualization only gives you answers to the questions you think to ask, but when you’ve got a lot of data, doing that manually becomes almost mission impossible,” said Anodot CEO and co-founder David Drai.
September 22, 2016
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September 22, 2016
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September 22, 2016
Anodot Brings Real-Time Anomaly Detection and Machine Learning to Data-Driven Companies Enabling the Rapid Detection of Potential Crises and Opportunities (Sunnyvale, CA and Ra’anana, Israel, September 22, 2016) – Anodot, the real time business inciden…
August 17, 2016
Finding it too costly for Credit Karma to develop its own user interface to provide the visualization and metrics necessary to create alerts for anomalies in real time, the company sought an external solution. It found it in Anodot, a real-time analytics and anomaly detection system.
July 10, 2016
Analyzing millions of metrics within massive amounts of streaming data to detect anomalous incidents that can provide business intelligence is the specialty of Anodot. From The Nilson Report, Issue 1088, Jun 2016.
June 23, 2016
A cloudy Berlin welcomed us to the IoT Tech Expo, taking place in the Berlin Congress Center, and joined for a day by NXP’s IoT touring truck. A great, if quieter, companion to the London event we attended back in February, the Berlin event was a great way to meet some of the lesser-known players in the IoT. Here’s what RIoT saw.
June 16, 2016
Anodot, the real time analytics and automated business incident detection company, has been named a “Cool Vendor” in Analytics in the 2016 Gartner report.
June 16, 2016
Credit Karma has selected Anodot as its platform of choice for detecting business incidents in real time. With its online provision of free credit scores and financial recommendations to 50 million members, Credit Karma needs to monitor hundreds of thousands of business and technical metrics in order to keep its business running smoothly.
June 9, 2016
“We had one industrial revolution, and it seems like we’re facing another industrial revolution today.” That’s the verdict of Amir Kupervas, the head of IoT strategy at real time analytics and data provider Anodot.
May 25, 2016
Anodot, the real time analytics and automated business incident detection company, has been named a “Cool Vendor” in Analytics in the 2016 Gartner report.
May 17, 2016
Anodot, the real time analytics and automated business incident detection company today announced that Credit Karma has selected Anodot as its platform of choice for detecting business incidents in real time.
March 28, 2016
Israeli startups are taking many countries by storm. Here are 4 notable ones – including Anodot – that are rocking the bay area.
March 1, 2016
Knowing who will win in the IoT (or industrial internet) space is a bit like predicting the weather on Valentine’s Day 10 years from now, but as I enjoy musing about such matters, and I want to capture my thoughts about the IotTechExpo in London, here are a few of my expo takeaways.
March 1, 2016
The mad pace of digital innovation today raises the bar for all technologies that underlie customer-facing solutions. Case in point: Eyeview, a video advertising technology company whose platform ingests a wide range of consumer, brand, and retail data into a real-time decisioning engine that delivers personalized video across a wide diversity of touchpoints. Read more to find out how Anodot helps companies like Eyeview.
February 9, 2016
Super Bowl 50 may have been the ‘pivot year’ for brands marketing to millennials
February 4, 2016
E-commerce websites to have real-time business insight that can identify anomalous activity so that it can be brought to someone’s attention and addressed quickly to minimize financial losses and preserve customer relationships.
February 4, 2016
Despite all the collecting and analyzing of data from devices and systems connected to the Internet of Things — and the inherent cost savings that many use cases point to —quite a bit of that information is underutilized or is even unused.
February 1, 2016
Anodot’s technology uses pattern recognition to find anomalous data patterns and send alerts when something is out of the norm.
January 24, 2016
Recently Anodot introduced its real-time anomaly detection solution, which aims to disrupt the static nature of today’s Business Intelligence (BI) with patented machine learning algorithms for big data. Pinpointing performance issues and business opportunities in real time, Anodot enables its customers to increase operational efficiency and maximize revenue generation. This is an interview with Uri Maoz, head of US business at Anodot:
January 24, 2016
In recent years, data-driven startups have exploded on the technology scene. These nascent businesses blow away incumbents and disrupt entire industries with platforms that leverage the power of data. Uber, wunderkind iconoclast of the ground transportation industry, laid waste to competition without owning a single car. It simply exploited data to connect drivers and passengers. And down the info highway comes Waze, leveraging big-data from fellow drivers to provide the fastest route to a destination, accounting for real-time traffic.
January 24, 2016
CDNs play a vital role in how the web works, however the volume, variety and velocity of log files that CDNs generate can cause issue detection and mitigation to become exceedingly difficult. In order to overcome this data challenge, you need to first gain an understanding of your normal CDN patterns, and then identify activity that deviates from the norm—in real time. This is where machine learning can take CDN services to the next level.
December 16, 2015
One of the key tenants of the DevOps principle is that your environment has to be prepared for anything. If your shiny modern delivery chain does not support the adoption of new DevOps tools, or does not help you learn, and iterate, then it will ultimately fall into the same category of solutions as Waterfall, and will be on a clear path to Legacy.
December 15, 2015
Podcasts, home renting, European travel and a startup that’s literally called “Shoes of Prey” all disclosed fresh rounds of financing last week. Here’s what happened on the funding front in the tech industry
December 15, 2015
Fresh from a $3 million Series A funding round, Israeli analytics startup Anodot, Inc. exits stealth today with a real-time analytics engine focused on anomaly detection. The system uses patented machine learning algorithms to deliver what it claims is unparalleled ease-of-use and rapid response when finding data patterns that deviate from the expected norms.
December 14, 2015
Anodot – automated business analytics and anomaly detection SaaS platform
December 10, 2015
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December 10, 2015
SUNNYVALE, Calif. and RA’ANANA, Israel, December 9, 2015 – Anodot exited stealth today, introducing its real-time anomaly detection solution, which will disrupt the static nature of today’s Business Intelligence (BI) with patented machine learning algorithms for big data. Pinpointing performance issues and business opportunities in real time, Anodot enables its customers to increase operational efficiency and maximize revenue generation.
December 10, 2015
Anodot, a business intelligence startup that specializes in anomaly detection, exited stealth on Wednesday and announced a $3 million Series A funding round led by Tel Aviv- and New York-based Disrupt-ive Fund. Its total funding to date is $4.5 million.
December 10, 2015
Extracting useful information from business data used to mean waiting for the IT department to run reports. Increasingly though there’s demand for users to be able to extract information themselves.
December 10, 2015
California and Israel-based Anodot, a provider of real-time analytics and automated anomaly detection solutions, has secured $3 million in Series A funding. Disrupt-ive Partners led the round.
December 9, 2015
Anodot exited stealth, introducing its real-time anomaly detection solution with patented machine learning algorithms for big data.
December 9, 2015
Anodotexited stealth by introducing its real-time anomaly detection solution, which will disrupt the static nature of today’s Business Intelligence (BI) with patented machine learning algorithms for big data. Pinpointing performance issues and business opportunities in real time, Anodot enables its customers to increase operational efficiency and maximize revenue generation. – See more at: http://www.iot-today.com/main/news/anodot-disrupting-bi-with-real-time-analytics-and-automated-anomaly-detection/#sthash.HxMclaG5.dpuf
