The Frost & Sullivan Customer Value Leadership Award is presented each year to the company that has demonstrated excellence in implementing strategies that proactively create value for customers. It recognizes the company’s inordinate focus on enhancing the value that its customers receive, beyond simply good customer service, leading to improved customer retention and ultimately customer base expansion. Frost & Sullivan does not accept solicitations or applications for this award, instead basing its decisions on extensive private market research and confidential interviews with end users. Opera Solutions is proud to be the recipient of the 2013 Customer Value Leadership Award for Global Big Data Analytics.
Topics: Big Data, Competitions
You may not be paying much attention to data science, but it’s paying attention to you — and will deliver personalized search results in due time.
For those of us who prefer to stay on the shopping side of recommender engines, how online retailers seem to know which hotels we’ll book, what flights we’ll take, or what brand of pots and pans we’ll buy next is simply math, or for those of us with a little more knowledge, algorithms. For most everyone else, it pretty much falls under something more akin to science so advanced it might as well be magic. Of course, for the machine learning data scientists who create these recommender engines, all engines are different, complex — and definitely not magic.
Topics: Big Data, Machine Learning, Competitions
Gartner's 2013 Cool Vendor in Analytics report is now available.
We're pretty excited about earning a cool-factor nod from Gartner with its Cool Vendors in Analytics1, 2013 report. Each year, Gartner identifies a select number of new Cool Vendors in key technology areas and publishes a series of research reports explaining companies that offer technologies or solutions that are innovative, impactful, and intriguing. According to the report, five vendors were chosen from a shortlist of 15 vendors nominated by analysts in Gartner's analytics research community.
Topics: Big Data, Competitions, Press Releases
Opera Solutions Uses Advanced Analytics to Better Predict Click-Through Rates for Search Advertising
NEW YORK, N.Y., Sept. 10, 2012 — Opera Solutions, LLC, a leading global Big Data and advanced predictive analytics company, today announced its results in the KDD Cup 2012, a leading worldwide competition that attracts the best and brightest minds in machine learning and advanced analytics. Competing against 170 teams, Team Opera Solutions won second place in the Track 2 contest, edged out by 6.9 thousandths of a point by a team from academia.
Topics: Signal Hub Technologies, Machine Learning, Competitions, Press Releases
Opera Solutions Adds Leading Recommender Engine Capabilities With the Acquisition of Commendo Research & Consulting
JERSEY CITY, N.J., Mar. 27, 2012 — Opera Solutions, LLC (www.operasolutions.com), a global leader in machine learning science and advanced Big Data analytics, today announced the acquisition of Commendo Research & Consulting GmbH, adding leading recommender engine capabilities to Opera Solutions' advanced data analytics solutions.
Topics: Big Data, Competitions, Arnab Gupta, Press Releases, Partners
Opera Solutions Announces Winner of 4th Annual Opera Open
JERSEY CITY, N.J., Dec. 14, 2011 — Opera Solutions, LLC (www.operasolutions.com), a global leader in machine learning science and advanced Big Data analytics, today announced the winner of their fourth annual Opera Open innovation competition. Media Moguls, captained by Principal Scientist Frank Elliott (San Diego), and including Carmine Mangione (San Diego), Tajinder Singh (New Delhi) and Kylie Francis (Jersey City), was awarded 1st place and $50,000 for their idea - an adaptive network based upon social networking analytics that aims to deliver a vastly increased selection of movies and TV to viewers on demand.
Topics: Big Data, Machine Learning, Competitions, Arnab Gupta, Press Releases
The Opera Open is an annual tradition at Opera Solutions, one eagerly awaited by the company and employees alike.
As an innovation competition that sets out to find the latest and greatest ideas from our personnel, the Open’s purpose is three pronged: to spur innovation and exchange new ideas within the company, encourage junior personnel to collaborate, and nurture our colleagues’ growth so their business acumen becomes even more enriched.
Topics: Big Data, Machine Learning, Competitions