News

Anodot Working To Predict Future Data Anomalies

September 11, 2017

Andot’s technology looks for anomalies in data that would suggest a change in human behavior.

From DevOps to DataOps : Why Every Company Needs DataOps

August 24, 2017

Because of the dynamic nature of data and the constant new services, partnerships, and products entering the market every quarter, the DataOps role is ongoing and should comprehensively understand and use the proper tools to monitor the ebb and flow of company data.

Face it, AI is better at data-analysis than humans

July 28, 2017

While we ponder the future of AI, companies like Anodot are applying it in all the right ways (see: non-lethal and money-saving). Automating data-analysis isn’t quite as thrilling as an AI that can write speeches for the President, but it’s far more useful.

Has Anodot Defined the Principles of General-Purpose AI?

July 13, 2017

Anodot can be pointed at a wide number of use cases. The users don’t need to know how it works. And it is obvious and easy to connect it to a business domain.

Meet The Startups That Bring Artificial Intelligence To Log Management And Analysis

July 5, 2017

Artificial Intelligence is set to disrupt every industry vertical. This article features a few startups, including Anodot, that deliver AI-driven analysis.

Why did British Airways suffer such an extreme IT meltdown?

May 30, 2017

In the event of an IT outage, which is seemingly becoming increasingly common in the airline industry after Delta’s IT failure last year, the back up system simply must do its job. So why didn’t it? Anodot CEO David Drai weighs in on how BA could have avoided this glitch.

2017 Big Data 100: Coolest Emerging Big Data Vendors

May 17, 2017

While many established vendors made this year’s Big Data 100 list, it also includes quite a few startups – like Anodot – companies that are pushing the envelope in developing leading-edge big data technology, bringing to market products and services that help business work with big data.

Finding the anomalies in big data with machine learning

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.

Inside Anodot’s Anomaly Detection System for Time-Series Data

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.

Needles in the Data Haystack Can Prick You: The Necessity of Real Time Anomaly Detection

April 6, 2017

Automation technologies are playing an increasingly role in everyday life. This article introduces some leading innovations that relate to automation.

This Week in DataOps: The Tradeshow Edition

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.

The AI In Fintech Market Map: 100+ Companies Using AI Algorithms To Improve The Fin Services Industry

March 29, 2017

Startups, including Anodot, are using AI to improve and expand credit offerings, insurance options, personal finance services, and regulatory software.

Monitoring as a Differentiator: Breaking Silos and Building Understanding

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.

Goodbye Age of Hadoop – Hello Cambrian Explosion of Deep Learning

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.

“Above the Trend Line” – Your Industry Rumor Central for 3/27/2017

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.

Business intelligence startup Anodot helps businesses solve the ‘unknown unknowns’

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.

Strata Data Conference Gets Good

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.

Mathematik schlägt Intuition (German)

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?

Where is the future of automated intelligent systems?

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.

Anodot Rapid First Year Growth Outpaces Typical B2B Startups

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.

How Automated Innovation is about to Revolutionize our Future

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.

Business Intelligence 2.0 – If You Can’t Measure It, You Can’t Manage It

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.

The Value in Data Anomalies, from Dollhouses to Gaming

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?

The Primary Principles of Business-Incident Detection for BI

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.

18 Tech Predictions for 2017

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…

5 Disruptions to Marketing, Part 5: Artificial Intelligence

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…

Anodot’s automated business dashboards put big data in the hands of business people

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.

Anomaly detection keeps ad network humming during busy holiday season

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…

Anodot Business Incident Detection with ARTIK Cloud

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.

Business Intelligence Is Making FinTech Successful

December 14, 2016

CEO and Founder of Anodot, David Drai writes for TechBullion about how business intelligence is making FinTech successful.

Q&A with Rebecca Herson, VP Marketing, Anodot

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.

(German) “Viele Big Data- und BI-Lösungen arbeiten noch sehr statisch”

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.

PODCAST: The Analytics of Anomaly Detection with Anodot

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.

(German) Anomalieerkennung – so schützt ihr euch vor Umsatzausfällen

December 1, 2016

Wenn der Umsatz gleicht bleibt, obwohl die Anzahl an Bestellungen steigt, liegt ein Fehler vor. Anomalieerkennung hilft bei der Schadensbegrenzung.

Next-Generation Dashboards for Drilldowns into Real-Time Big Data

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.

Using Machine Learning to Spot Expensive Data Anomalies

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.

Anodot: Real-Time Correlation of Business Insights for Fintech

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.

Anodot Enters Financial Sector To Upend BI Stagnation

October 30, 2016

Business Incident and Anomaly Detection Company Empowers FinTech Companies with Unprecedented Business Intelligence Insights to Prevent Crises and Highlight Opportunities

It’s the End of the Dashboard as We Know It (and I Feel Fine)

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.

Where BI Is Headed and How The $16.9 Billion Industry Is Primed for A Complete Overhaul

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.

Anomaly Detection, Streams of Data Consciousness, and Workflow Evangelism: My Strata NYC 2016 Recap

October 5, 2016

An overview of Strata NYC 2016 and lessons learned by Toph Whitmore.

Disruptive Technology, Monotonous Marketing At Strata+Hadoop World

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.

The stupidity of Business Intelligence and why this ‘hot’ sector needs an A.I. overhaul

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.

“Globes” names Israel’s 16 most promising startups

September 28, 2016

Anodot is honored to have been named one of Israel’s 16 most promising startups by Globes.

Anodot Expands Global Presence With European Office

September 26, 2016

Business Incident and Anomaly Detection Company Extends International Reach with New Office in Germany

BI Firm Anodot Scores $8 Million To Try And Answer The Questions You Haven’t Thought Of Yet

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.

Israeli business intelligence startup Anodot raises $8 million

September 22, 2016

Read more

Israeli anomaly detection co Anodot raises $8m

September 22, 2016

Read more

Anodot Raises $8 Million Funding To Prevent Billions Of Dollars In Losses With Real Time Business Incident Detection

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…

A Real-Time Analytics Tool Keeps Business Running

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.

Anodot Big Data Business Incident Detection

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.

RIoT at the IoT Tech Expo Berlin: what we saw

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.

Gartner Names Anodot a “Cool Vendor”

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.

Credit Karma Selects Anodot to Detect Anomalies in Real Time

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.

Amir Kupervas, Head of IoT Strategy at Anodot talks Predictive Maintenance, Industry 4.0 and IIoT

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.

Anodot Named a 2016 ‘Cool Vendor’ in Analytics by Gartner

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.

Credit Karma Selects Anodot for its Business Incident Detection Solution

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.

4 Israeli Startups Making Waves in The Bay Area

March 28, 2016

Israeli startups are taking many countries by storm. Here are 4 notable ones – including Anodot – that are rocking the bay area.

IoT – Show Me The Money

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.

Real-Time Anomaly Detection and Analytics for Today’s Digital Business

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.

How brands used Super Bowl 50 to win millennials over

February 9, 2016

Super Bowl 50 may have been the ‘pivot year’ for brands marketing to millennials

Anodot uses real-time analytics and anomaly detection to provide business insight

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.

How IoT Can Support A Dynamic Maintenance Program

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. 

Anodot Provides Anomaly Detection and Operational Intelligence

February 1, 2016

Anodot’s technology uses pattern recognition to find anomalous data patterns and send alerts when something is out of the norm.

Anodot Disrupts The Static Nature Of BI With Real Time Anomaly Detection

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:

The Rise of the Data Driven Business

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.

Find Anomalies: It’s Time for CDN’s to Use Machine Learning

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.

Wix requires visibility, and insights are the key

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.

Capital Gains: Giant Airbnb Round Confirmed, Goldman Sachs Bets on European Travel and More

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

Startup Anodot uses machine learning to hunt for anomalies

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.

New products of the week 12.14.2015

December 14, 2015

Anodot – automated business analytics and anomaly detection SaaS platform

Anodot Disrupts BI with Predictive Analytics; Secures Funding

December 10, 2015

Read more

Anodot Exits Stealth, Disrupting BI with Real-time Analytics and Automated Anomaly Detection; Secures $3M in Series A Funding

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.

Israeli business intel startup Anodot scores $3 million in Series A

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.

Bringing business intelligence to big data

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.

Anodot pulls in $3 mln

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.

Anodot Exits Stealth and Introduces Real-Time Anomaly Detection

December 9, 2015

Anodot exited stealth, introducing its real-time anomaly detection solution with patented machine learning algorithms for big data.

Anodot Disrupting BI with Real-Time Analytics and Automated Anomaly Detection

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

Term Sheet

December 9, 2015

Term Sheet — Wednesday, December 9