Dataminr in the News
Dataminr for News: An industry-changing product that was successfully created through a direct data partnership with Twitter
29 Apr 2015:
After a little more than a year since the launch of Dataminr for News, a product jointly developed by Dataminr and Twitter, we at Dataminr are thrilled that the product has exceeded all expectations.
17 Mar 2015:
Dataminr, the big data analysis tool beloved by journalists and hedge funds, has raised $130 million from an array of high-profile investors. Founded in 2009, Dataminr automatically trawls social media and other information sources using complex algorithms to identify potential significant or newsworthy posts, and then flags them for its clients in real time. It’s used on Wall Street, where having the edge on market-moving news — a fire on a factory, say, or a product recall — can make all the difference.
17 Mar 2015:
“Twitter is a performative tripwire for events that happens around the world.”
For businesses that rely on external data to help make decisions or just know what is going on, this is a potential goldmine, but one that requires a lot of refining in order to extract the most valuable nuggets and to make the nicest ingots.
And that is where Dataminr comes into the picture, with algorithms that are used to filter social media services to pick up signals for developing stories.”
17 Mar 2015:
Dataminr Inc., which analyzes tweets and other information streams to create alerts for traders, reporters and government agencies, has raised $130 million from banks and institutions in a new private round…
Dataminr’s new investors include mutual-fund firms Fidelity Investments, which led the round, and Wellington Management Co., along with Credit Suisse Group AG’s CS Next Fund, Goldman Sachs Group Inc. and Glynn Capital Management, the company said. Venture-capital investors Venrock and Institutional Venture Partners also added to their stakes in the company.
17 Mar 2015:
Ted Bailey, Dataminr CEO & founder, explains how his company is able to profit from Twitter’s enormous data base.
17 Mar 2015:
I am excited to announce today that Dataminr has raised an additional $130 million in growth capital, a significant milestone on our path to becoming the world’s leading real-time information discovery company.
In securing new investments from leading members of the financial industry, institutions that range from Fidelity, to Wellington, to Credit Suisse, to legendary financial industry veterans like John Mack, former CEO of Morgan Stanley and Vikram Pandit, former CEO of CitiGroup, Tom Glocer, former CEO of Reuters; Noam Gottesman, founder of the hedge fund GLG; and Nicolas Berggruen, founder of the Berggruen Institute on Governance, and additional financial institutions including WorldQuant Ventures, Glynn Capital and Goldman Sachs; our company has the backing of some of the world’s premiere institutional and individual investors.
20 Nov 2014:
Dataminr’s systems categorize and analyze every single tweet in real time, weeding out spam and comparing information against news feeds, market prices, weather patterns and other data to determine its significance. The systems also check if a particular user has been reliable on certain topics in the past.
On Sept. 2, when independent journalist Brian Krebs tweeted that Home Depot “may be latest credit card breach victim,” Dataminr’s systems rapidly identified it as a “Notable Signal” for its clients.
The alert went out to subscribers—which include 60 banks and hedge funds—a full 15 minutes ahead of financial news wires and before a 2% decline in Home Depot’s share price.
“There is no way to ignore social media as a data set anymore,” said Ted Bailey, Dataminr’s chief executive. “A feed like Twitter has so much information, and there is certainly value hidden within it.”
23 Sep 2014:
Dataminr, the leading real-time information discovery company, announced today the North American commercial launch of Dataminr for News, a product first announced earlier this year with CNN and Twitter. The Dataminr for News commercial release provides journalists with the most sophisticated technology for detecting and verifying breaking information on Twitter in real-time, and includes the launch of a new mobile application which delivers alerts to journalists wherever they happen to be. Dataminr for News also includes an integration into TweetDeck, a Twitter product widely used by many journalists across the industry, enabling Dataminr for News users to seamlessly receive their alerts in a dedicated TweetDeck column.
23 Sep 2014:
Earlier this year, several producers at CNN received an alert from a new digital news gathering tool that they were testing: A teenager in Los Angeles had posted a tweet saying that the pop music heartthrob Justin Bieber had been arrested.
CNN’s Los Angeles bureau followed up on the tip by calling the appropriate local precinct. The police confirmed that Mr. Bieber had just been arrested on burglary charges, but wanted to know how the cable news network could possibly have known that.
The answer is Dataminr, a software tool designed specifically to analyze billions of Twitter postings for patterns that could indicate breaking news. On Tuesday, Dataminr becomes commercially available to news organizations, some of which — like CNN and Gannett — have already been testing the software.
27 Aug 2014:
A passerby notices a fire at a refinery in Louisiana and tweets a picture. Eleven minutes before the news hits the wires, a tech startup called Dataminr fires off an alert to subscribers in the finance industry, who trade ahead of the news.
One client is known to have made legendary amounts of money trading on two alerts—one about the Boston Marathon bombing and another indicating that an AP tweet of a bombing at the White House, which had sent the market tumbling, was a hoax. Many of Mr. Bailey’s clients say his service pays for itself in a single trade. And, yes, it’s easy to see how a tweet that alerts a trader to an event that shortly will cause a big market move could be almost infinitely valuable.
Dataminr is dependent on its deal with Twitter providing live access to the Twitter “fire hose” of tweets going back to when Twitter’s service started. Mr. Bailey admits to hearing from people who say of Dataminr, “What a great idea. What a great company, but if Twitter dies, who cares?”
“Twitter is not going to die,” he says. Dataminr is daily evidence of the value hidden in its data stream, a value not appreciated in the Facebook-style user-engagement metrics that Wall Street applies to the company. “What makes Twitter Twitter that other data sets aren’t?” he asks. The ability to “surface unknown unknowns”—to bring to light new and unpredicted facts about the world, tapping users’ willingness to serve as on-the-ground “sensors” for breaking events.
Dataminr is already a success. The company’s clients represent more than $500 billion of assets under management. But its business model suggests almost infinite possibilities.
8 Jul 2014:
This year’s AlwaysOn Global 250 winners represent leadership in global innovation, developing software and hardware solutions that are ushering in a new era of global prosperity. Each company was selected based on a set of five criteria: innovation, market potential, commercialization, stakeholder value, and media buzz.
20 Jun 2014:
At the intersection of big data and real-time information, Dataminr Chairman and CEO Ted Bailey told CNBC Friday that his start-up aims to make sense of the disparate Twitterverse to give finance clients a profitable edge…Using the recent siege on Iraq’s largest oil refinery by militants as an example, Bailey said: “We were able to detect that and alert our clients on Wall Street to that conflict and its potential disruption over six hours ahead any single other source they had access to.”
17 Jun 2014:
In the second annual Disruptor 50 list, CNBC features private companies in 27 industries—from aerospace to enterprise software to retail—whose innovations are revolutionizing the business landscape. These forward-thinking upstarts have identified unexploited niches in the marketplace that have the potential to become billion-dollar businesses, and they rushed to fill them. In the process, they are creating new ecosystems for their products and services. Unseating corporate giants is no easy feat. But we ranked those venture capital–backed companies doing the best job. Already it’s hard to think of the world without them.
Read more about Dataminr: 13. Dataminr, Data-mining Twitter.
12 Jun 2014:
Dataminr now has “half the top hedge funds and banks” among its 50 financial-service clients, says Dataminr co-founder and CEO Ted Bailey, who visited USA TODAY’s office here late last month to explain the company’s technology.
Bailey, a first-time entrepreneur, has in the past 18 months raised more than $30 million from several top-tier venture capital firms and stacked his executive team with veterans of technology and financial service giants such as Oracle and Bloomberg…
Dataminr’s technology, which examines 500 million tweets per day, applies complex mathematical analysis called machine learning to “surface what you didn’t know and need to know,” Bailey says.
7 Jun 2014:
A startup is finding valuable information in the Twittersphere.
Dataminr, a New York startup that analyses the 500m or so tweets sent out daily, goes from strength to strength. Founded in 2009 to scour the Twittersphere for important events and news not yet reported by the mainstream media, the firm now has dozens of customers in finance, the news business and the public sector. In January it and Twitter struck a deal to provide alerts to CNN. In April its tracking of tweets was part of a strategy by the authorities in Boston to avoid a repeat of last year’s terrorist attack at the city’s annual marathon…
Dataminr is one of a growing number of firms built on analysing data from Twitter, though most do not have its focus on real-time news alerts. “Dataminr’s technology is very advanced; every day there is another example of how far ahead they are,” says Vivian Schiller, a Twitter executive.
19 May 2014:
Dataminr, a New York startup that has raised $50 million and caters to hedge funds to emergency responders, is growing its footprint into media and probably other verticals because it has a knack for alerting customers to actionable tweets in a sea of noise.
The company has a bevy of examples where its service has been critical to making money and saving lives. Dataminr this year tracked the Boston Marathon for the City of Boston, flagged a shakeup at BlackBerry for traders minutes ahead of the actual news and started telling the tale of a train derailment in Lynchburg, Va. 46 minutes ahead of news reports.
13 May 2014:
Twitter has firmly established itself as the global 911 as well as a faster, more local CNN, a place to call for help and shout the news — a place where people flock when they need to know things fast…
The New York-based data analytics startup Dataminr offers an early example of this. With nearly $50 million in funding, the company sifts through tweets to identify newsworthy events. In March, when a gas explosion decimated a section of a Harlem city block, Dataminr confirmed the event had occurred within 200 seconds; it took local news stations 20 minutes to cover it. Because the startup excels at pattern recognition, it can quickly verify which information is accurate — and which, like the hacked Associated Press Twitter account that broadcasted two explosions in the White House, is a hoax.
16 Mar 2014:
In just the first minutes after the Harlem explosion, aggregate Twitter data revealed a lot about what had happened. People acted collectively as an on-the-ground detection and sensory network, depicting the scene with granularity long before first responders or reporters arrived.
These Twitter eyewitnesses in Harlem provided a mosaic of images and first-hand accounts — all emerging from one location in a short time. Additionally, the geo-proximity of tweets, the shape and rate of tweet propagation, and the linguistic signatures of the messages quickly illustrated the potential magnitude and importance of what had occurred — all before traditional information sources had even arrived on site.