Samuel Greengard of Baseline Magazine reports, “Few fields benefit more from advanced analytics than health care. Somewhere between the doctor’s office and the somewhat abstract world of epidemiological data is the real world of patients and outcomes. ‘Today, in the outpatient setting, 25 percent of adverse affects are caused by poor or inadequate follow up of abnormal test results,’ says Carlton Moore, associate professor of medicine at the University of North Carolina School of Medicine. In the past, ‘There had been no simple way to manage the process and improve outcomes’.” Read more
QuantDesk Event Analyzer Module For Bloomberg App Portal Delivers Market — And Machine Learning — Magic
Lucena Research is the company behind the machine-learning based investment technology QuantDesk (see our original story here). Its five modules are designed to give non-quants in family investment offices, hedge funds, endowments and other registered investment advisors a scientific approach to investment decision- making to augment their own strategies with the tools to figure out market trends and patterns.
But CEO Erez Katz says there’s another market its technology now is ready to address: Those who’d like to have the research done for them. To that end, it’s deploying a new module on the Bloomberg App Portal, dubbed the QuantDesk Event Analyzer, that provides subscribers with professionally researched market & equity trends, and equity price forecasts based on machine learning pattern analysis.
The company already has three modules on the portal, and the latest provides a collection of studied and researched events-based decision support strategies. “We do the research, form the strategy, and deploy our findings in the form of entry/exit signals on their dashboard on the Bloomberg App Portal,” says Katz, whereas previously its products deployed only toolsets and technology for users to deploy their own strategy. “This new edition takes the research of our internal quants and exposes the output and exclusivity of these unique strategies to our premium client base – that is, buy and sell signals not available to the rest of the world.”
Nara is officially on its way from being solely a consumer-lifestyle brand – with its neural networking technology helping users find dining and hotel experiences that match their tastes – to also being the power behind other companies’ recommendation and curation offerings. This summer it made a deal with Singapore Communications’ Singtel Digital Life Division to use its technology to help their users hone in on personalized eating options, and today that online food and dining guide, HungryGoWhereMalysia, goes live.
But Singtel won’t be the only outside party to plug into Nara’s backbone, as the company today also is announcing that it is licensing its capabilities to other parties interested in leveraging them. “An enterprise can plug into our neural network in the cloud through our API,” says CEO Tom Copeman, accessing its smarts for analyzing and then personalizing tons of data from anywhere on the web, tailored to the type of service they’d like to offer.
HungryGoWhereMalaysia, for example, is much like Nara for personalized restaurant discovery here in the states, except culturally branded to their markets; local consumers will get tailored list of dining recommendations from over 35,000 restaurants throughout the country, and as the service gets to know them better, suggestions will be more finely honed to match their Digital DNA profiles. “We believe we’re the first in computer science to receive third-party data from outside sources through our API into our neural network, to make the calculations and comparisons, and send back down a more organized, personalized and targeted selections based on individual preferences.”
Recently on Internet Revolution, Todd Watson of IBM shared his thoughts on the future of cognitive computing. He writes, “Late this morning, I attended an IBM People for a Smarter Planet Tweetchat concerning the promise and future of cognitive computing. Simply put, cognitive computing systems represent the next frontier of computing, the first two waves having centered upon, first, tabulation, and more recently, programmable systems. With cognitive computing, we’ve begun to see systems that learn and interact naturally with people to extend what either humans or machines could do on their own. In so doing, they can help human experts make better decisions by tapping into the vast complexities of big data.” Read more
Lucas Laursen of IEEE Spectrum reports, “As [Henry] Markram has been telling everyone since he got the €1 billion nod to lead the Human Brain Project, the way researchers study the brain needs to change. His approach—and it’s not the only one—stands on an emerging type of computing that he and others claim will let machines learn more like humans do. They could then offer generalizations from what’s known about a handful of neural pathways and find shortcuts to understanding the rest of the brain, he argues. The concept will rely as much on predictions of neural behavior as on experimental observations.” Read more
PALO ALTO, CA–(Marketwired – Oct 30, 2013) - HealthTap, the company leading the mobile revolution in healthcare, today unveiled TalkToDocs. This unique new app makes the knowledge of 50,000+ doctors available immediately anytime, anywhere. Using the simple, voice-activated interface of the new TalkToDocs app, anyone who needs health information can simply speak their health- and wellness-related questions and receive instantaneous, personalized responses from qualified doctors, at no cost. Read more
Spectrum, Twelvefold Media’s managed service designed to target ad messages in real-time based on understanding consumers’ intent around the content they’re consuming, now is offering a self-service version of the platform. (See The Semantic Web Blog’s earlier coverage of the platform here.) With Spectrum 3.0, trading desks, clients and marketing cloud companies can use Spectrum’s listening and indexing capabilities — algorithms for determining why someone is reading a piece of content at that moment in time and for scoring millions of URLs daily — with their own bidding rules. It will continue to offer Spectrum as a managed service for always-on and spot campaigns, as well.
The wizard that used to be behind the process of understanding the mindset of the content to target – based on a series of data inputs stemming from Spectrum’s advanced understanding of natural language on the page, from which targeting schema are created – now operates in the background, so users aren’t required to enter in keywords or phrases to go up against. For instance, a smartphone vendor, leveraging an article on Apple slashing iPhone 5c orders, can add that URL to the system to go up against Spectrum’s big index of the visible web to find relevant pages like that one, says Mike Campbell, VP, product at Twelvefold.
NEW YORK, NEW YORK–(Marketwired – Oct. 21, 2013) - ADmantX, the next-generation contextual analysis and semantic data provider, and Turn, the marketing software and analytics platform, today announced a partnership to enable Turn’s clients to improve performance of their online ad campaigns by leveraging ADmantX semantic analysis and targeting. Read more
That is the vision of Bart van Leeuwen, Amsterdam Firefighter and founder of software company, Netage. We’ve covered Bart’s work before here at SemanticWeb.com and at the Semantic Technology & Business Conference, and today, there is news that the work is advancing to a new stage.
In the Netherlands, there exist 25 “Safety Regions” (pictured on the left). These organizations coordinate disaster management, fire services, and emergency medical teams. The regions are designed to enable various first responders to work together to deal with complex and severe crises and disasters.
Additionally, the Dutch Police acts as a primary partner organization in these efforts. The police is a national organization, separate from the safety regions and divided into its own ten regions. Read more
ATLANTA, GA–(Marketwired – Oct 17, 2013) – Parse.ly, the content performance authority [see our past coverage], today announced a feature to quantify the results of sponsored content and native advertising for publishers. Parse.ly is a content analytics and optimization platform that transforms real-time traffic, historical performance, social interactions, and global trends into actionable insights. This new capability gives publishers the added advantage of understanding and managing valuable paid content, and communicating its performance to brands via shareable, single-click, real-time performance reports. Read more