GoodData | Experience SaaS Business Intelligence What is big data? Big data is data that exceeds the processing capacity of conventional database systems. The data is too big, moves too fast, or doesn’t fit the strictures of your database architectures. To gain value from this data, you must choose an alternative way to process it. The hot IT buzzword of 2012, big data has become viable as cost-effective approaches have emerged to tame the volume, velocity and variability of massive data. Within this data lie valuable patterns and information, previously hidden because of the amount of work required to extract them. The value of big data to an organization falls into two categories: analytical use, and enabling new products. The past decade’s successful web startups are prime examples of big data used as an enabler of new products and services. The emergence of big data into the enterprise brings with it a necessary counterpart: agility. What does big data look like? Volume This volume presents the most immediate challenge to conventional IT structures.
Speech, Language & Multimedia < Technology Services | Raytheon BBN Technologies For nearly four decades, Raytheon BBN Technologies has been a leader in speech and language technologies. Since the early 1970s, Raytheon BBN Technologies has been performing pioneering research in automatic speech recognition. Over the years, Raytheon BBN Technologies has had many firsts, including the first demonstration, in the early 1990s, of real-time, large-vocabulary, speaker-independent continuous speech recognition on commercial, off-the-shelf hardware. Raytheon BBN's Byblos, our primary speech recognition system, is an automatically trainable system that utilizes probabilistic hidden Markov models, and it continues to represent the state of the art in large-vocabulary, speaker-independent speech recognition. The Byblos engine forms the core of our application suite that includes Audio Indexer and Audio Monitoring System. Our natural language processing technologies can locate, identify, and organize information from a variety of sources and in multiple languages.
DataGravity | Changing the game in data storage Les promesses du Big Data | ParisTech Review Le déluge des données numériques, évoqué dans nos colonnes par George Day et David Reibstein, n’impacte pas que les métiers du marketing. C’est l’ensemble des organisations de production qui est touché, et au-delà l’enjeu de compétitivité concerne les économies nationales. Ceux qui seront capables d’utiliser ces données auront une longueur d’avance pour connaître les opinions et détecter les mouvements culturels, mais aussi pour comprendre ce qui se joue au sein de leur organisation, en améliorant les processus et en informant mieux la prise de décision. Encore faut-il s’en donner les moyens: c’est tout la difficulté du “big data”, qui est à la fois une promesse et un défi. Défi technique, mais aussi intellectuel, car les outils informatiques qui permettront d’exploiter ces bases de données ne sont évidemment qu’une partie de la solution. L’ère de l’information La question a d’abord surgi au sein du monde académique, quand une équipe dirigée par Peter Lyman et Hal R.
Text Analysis and Text Mining Software: Lexalytics Home | Skytree – Machine Learning on Big Data for Predictive Analytics Big data: The next frontier for innovation, competition, and productivity | McKinsey Global Institute | Technology & Innovation The amount of data in our world has been exploding, and analyzing large data sets—so-called big data—will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus, according to research by MGI and McKinsey's Business Technology Office. Leaders in every sector will have to grapple with the implications of big data, not just a few data-oriented managers. The increasing volume and detail of information captured by enterprises, the rise of multimedia, social media, and the Internet of Things will fuel exponential growth in data for the foreseeable future. MGI studied big data in five domains—healthcare in the United States, the public sector in Europe, retail in the United States, and manufacturing and personal-location data globally. Big data can generate value in each. 1. 2. Podcast Distilling value and driving productivity from mountains of data 3. 4. 5. 6. 7.
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