Welcome!

Machine Learning Authors: Pat Romanski, Yeshim Deniz, Liz McMillan, Elizabeth White, Zakia Bouachraoui

News Feed Item

Bouygues Telecom Selects Jinni to Offer the First Semantic TV Discovery Experience in France

Jinni announced today that French telecom operator Bouygues Telecom has signed an agreement to license Jinni’s unique and advanced content discovery solution. The Jinni technology will power a superior user experience with semantic search, browse by mood, and other intuitive discovery features. The service will be offered in French and includes discovery of both international and local French TV series and movies. Bouygues Telecom is leading the French TV market by being the first to offer content discovery to suit users’ personal tastes and moods.

Bouygues Telecom subscribers will be able to find what to watch by plots (e.g. criminal heroes, nothing goes right, fall in love, dishonesty…), moods (e.g. feel good, suspenseful, clever, sincere…), times and periods, places, audiences, styles, and awards.

“We are proud to partner with Bouygues Telecom to bring Jinni’s personalized semantic discovery and Entertainment Genome™ to their impressive market,” said Jinni CEO Yosi Glick. “France is in a prolific period of innovation and introducing revolutionary new products in TV consumption and content recommendation. Bouygues Telecom is a cutting edge telco provider that proactively looks to offer consumers the most compelling entertainment experience. This is a natural partnership between two companies at the forefront of TV experience innovation.”

“Bouygues Telecom always strives to offer its customers rich and innovative experiences. That’s why we are pleased to partner with Jinni in order to include its cutting-edge technology in our ecosystem for the benefit of our customers. Indeed, our goal is for Jinni’s avant-garde approach to enable our customers to get the most enjoyment out of our impressive content offers,” declared Thibaut Keraval, Bouygues Telecom’s responsible for Land and Mobile Service Platforms.

The Jinni technology will be first introduced with a seamlessly integrated second screen tablet app to provide an easy-to-use, quick and entertaining way for users to access and discover new movies and TV series they will love.

The Jinni discovery solution, based on the Entertainment Genome™, has differentiated itself from other engines by taking content analysis and unique user-centric recommendations to the next level. With natural language understanding (NLU) capabilities, Jinni meets the growing consumer demand for a next-generation cross-platform entertainment experience across set-top-boxes, tablets, smartphones, PC’s/Mac’s, Connected TV’s and gaming consoles.

The Jinni solution powers a suite of holistic discovery features that captures all the richness and nuance of human experience and expression. For example, instead of using broad genres such as ‘comedy’ to find a title, users will be able to find titles that are, ‘clever, offbeat and witty with dry humor’.

About Jinni

Jinni is the first and only taste-and-mood based engine powering entertainment discovery. Using content genetics and nuanced understanding of user tastes, the Jinni engine powers a uniquely intuitive and personalized experience that increases content consumption and consumer satisfaction.

The Jinni service is powered by the Entertainment Genome™, containing thousands of genes that are assigned to each title to describe mood, style, plot, setting and more; this is a rich alternative to the usual genre language, which benefits both the quality of the content delivered as well as the intuitive semantic-based user experience. New titles are automatically indexed via analysis of user reviews and synopses, using a proprietary Natural Language Processing solution.

Jinni’s content discovery solution has been voted “Best Product Idea” by CableLabs. Jinni is a Webby Awards honoree, a Red Herring 100 Europe winner, an OnHollywood 100 winner, a SXSW Web Awards nominee, a TechCrunch Europas nominee, a finalist in the 2012 Connected TV Awards for Outstanding Technology Innovation, and was selected as the best movie recommendation engine by CNET and Lifehacker. Jinni provides content discovery and recommendation solutions to European content providers Belgacom, Swisscom and Prisa TV. To see Jinni's award winning engine at work, visit www.jinni.com.

About Bouygues Telecom

As a full-service electronic communications operator (Mobile, Fixed, TV and Internet), Bouygues Telecom stands out for its innovative products and services and award-winning customer relations serving its 11 million mobile (including Simyo and Darty Telecom) and 1.8 million fixed broadband customers (including Darty Telecom), which include more than 1.5 million professional and corporate clients.

After inventing the mobile talk-plan concept in France in 1996, Bouygues Telecom has always been a pioneer in innovation: it introduced the first unlimited call plans with Millennium (1999) and Neo (2006); in 2007, it launched the first fixed-mobile convergence offer for corporate customers; in 2009, it invented the “all-in-one” solution with ideo, the first quadruple play offer in the market; and, as early as July 2011, it invented mobile telephony 2.0 with B&YOU, the first SIM-only offer available exclusively on the web.

In June 2012, Bouygues Telecom launched Bbox Sensation, its new range of routers packed with the most innovative technologies on the market that will transform the digital home experience. Its mobile network covers 99% of the French population with 2G, 95% with 3G+ up to 7,2 Mbit/s and 55% with H+ up to 42 Mbit/s.

Each day, the company’s 9,800 employees develop solutions aligned with changing customer needs. 2,000 customer relations advisers, a distribution network of 650 Clubs Bouygues Telecom stores - with their 2,500 sales advisers - and its websites combine to ensure optimum customer service on a daily basis. www.bouyguestelecom.fr

More Stories By Business Wire

Copyright © 2009 Business Wire. All rights reserved. Republication or redistribution of Business Wire content is expressly prohibited without the prior written consent of Business Wire. Business Wire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

CloudEXPO Stories
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will detail these pain points and explain how cloud can address them.
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-centric compute for the most data-intensive applications. Hyperconverged systems already in place can be revitalized with vendor-agnostic, PCIe-deployed, disaggregated approach to composable, maximizing the value of previous investments.
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Lee Atchison, Principal Cloud Architect and Advocate at New Relic, discussed how this same philosophy can be applied to highly scaled applications, and can dramatically increase your resilience to failure.
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by sharing information within the building and with outside city infrastructure via real time shared cloud capabilities.
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.