27 mai 2016

Smart City: When Big Data makes cities smart

Big Data has not finished surprising us, and come to revolutionize the economy by transforming the approach to whole sectors. The flow analysis of massive data in real time, to make concrete decisions, is a major challenge for the cities of tomorrow. According to Philippe Torres, board director and digital strategy at L'Atelier BNP Paribas, and co-author of the study "Big Data, Big Economy", the biggest potential to use the power of Big Data is also in the field Smart City. Will the data to make our cities smarter? Yes, and the... [Lire la suite]

19 mai 2016

IT Departments Launch a Digital SOS

The list of major disruptions induced by digital activities is long. And these disruptions put the company under pressure like never before and make the information control a strategic issue. Expansion of mobile technologies and proliferation of devices; explosion of social networks and behaviors that challenge models where each contact is a moment of truth; development of the Internet-of-Everything; advances in data analysis and artificial intelligence; demands on personalized and contextualized omni-channel experience; adoption of... [Lire la suite]
25 avril 2016

Gartner 2015 Hype Cycle: Big Data is Out, Machine Learning is in

Which are the most hyped technologies today? Check out Gartner's latest 2015 Hype Cycle Report. Autonomous cars & IoT stay at the peak while big data is losing its prominence. Smart Dust is a new cool technology for the next decade! By Geethika Bhavya Peddibhotla, KDnuggets. Gartner, the leading market and technology research firm, has published its 2015 Hype Cycle Report of Emerging technologies. Fig. 1: Gartner 2015 Hype Cycle. For comparison, here is Fig. 2: Gartner 2014 Hype Cycle. What's the Hype Cycle about? As... [Lire la suite]
11 mars 2016

Business Intelligence vs Analytics vs Big Data vs Data Mining

The business technology landscape has been shifting so fast lately that if you turn your head for a moment and then turn back you may not recognize what you’re seeing. Advances in the markets for mobile software and cloud services just in the last few years have opened the way for an entirely new type of relationship between IT and business users. One result of this rapid change is that old boundaries between areas and practices are beginning to blur. Then there are the completely new categories no one had heard of even five years... [Lire la suite]
27 octobre 2015

How Smart, Connected Products Are Transforming Companies

credit : Chris Labrooy The evolution of products into intelligent, connected devices—which are increasingly embedded in broader systems—is radically reshaping companies and competition. Smart thermostats control a growing array of home devices, transmitting data about their use back to manufacturers. Intelligent, networked industrial machines autonomously coordinate and optimize work. Cars stream data about their operation, location, and environment to their makers and receive software upgrades that enhance their performance or... [Lire la suite]
20 octobre 2015

The Internet of Things and the Enterprise

source Gartner By leveraging the Internet of Things, enterprises will be presented with a wide range of opportunities that will result in significant benefits; The Internet of Things (IoT) has rapidly become one of the most familiar — and perhaps, most hyped — expressions across business and technology. That hype, however, is entirely justified and is backed up by the numbers. We expect to see 25 billion Internet-connected things by 2020, and close to $2 trillion of economic benefit globally. These things are not general purpose... [Lire la suite]

19 septembre 2015

Data could be the real draw of the internet of things – but for whom?

  For most of us, the internet of things (IoT) might call to mind specific gadgets – slick innovations like Nest thermostats or the Apple Watch – that seem to owe their provenance to science fiction and promise a more wired world, as well as the inevitable automation of everyday life. Then there are people like serial entrepreneur Nova Spivack, someone who’s far less enamoured of the next IoT device than he is with something infinitely geekier: the data that can be captured. To Spivack, the chief executive of big-data mining... [Lire la suite]
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12 août 2015

Big Data and the Future of Business

Today, we have more information than ever. But the importance of all that information extends beyond simply being able to do more, or know more, than we already do. The quantitative shift leads to a qualitative shift. Having more data allows us to do new things that weren’t possible before. In other words: More is not just more. More is new. More is better. More is different. Of course, there are still limits on what we can obtain from or do with data. But most of our assumptions about the cost of collecting and the difficulty of... [Lire la suite]
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16 juillet 2015

Tour de France: big data enters the race to evaluate real-time runners

For the first time, three digital technologies combine to improve tracking of the race: the Internet of Things, big data and cloud computing. This technical part is entrusted to Dimension Data, a company of digital services (ESN), a subsidiary of the Japanese group NTT. The 198 riders are equipped with a GPS transponder, slipped under the seat at the rear of the bike. Over 15,000 data representing about 100 megabytes, are captured by rider in one day. Resulting in a total of about 19 gigabytes for the entire race. A large volume... [Lire la suite]
15 juin 2015

IoT offers both opportunities & threats. 5 pillars of ITsecurity protection

Cyber security is a central tenet across all of the trends described in this year’s Technology Vision. Examine the 5 key security implications we see emerging for digital business, and the approaches for dealing with each one.   Accenture Technology Vision on five themes that will help prepare businesses to stretch their digital boundaries: • Enabling Autonomous Devices at the Edge • Making Data-Driven Decisions at Internet of Things Scale • Securing the Three Vs (Volume, Variety and Velocity) of Big Data • Maximizing... [Lire la suite]