Arquivo para a ‘Framework’ Categoria
Pass the box to pay now is fast
07
Jul
Near to fiction until recently, watches with sensors NFC (Near Field Communication) reached
the Brazilian market through Bellamy model, with it you approach the product of the clock and the payment is made in seconds.
The battery it lasts for years, only different from the traditional cards on the clock there is nothing to show that it is being used for purchases making discreet and secure payment, and the partnership was made with Visa and Brazil Pré-pago.
It has an NFC antenna with a chip “contactless” Visa that communicates with contactless payment terminals, so are expensed credits are previously made by a bank payment function and the company ensures that credit is safe .
Like any technology market the initial change is slow, this type of NFC device already existing in some pieces of clothing and luxury goods should then be present in the simplest grocery product, coexisting with the current bar codes, but with the time the bar code itself may disappear.
Why Microsoft bought the LinkedIn ?
22
Jun
I’ve always been suspicious of LinkedIn, the purchase for $ 26.6 billion
is nothing but control the labor market and find out who is connected to whom, now this purchase only confirms what I always had in mind, connecting people, businesses , universities and other institutions can be more dangerous to scour personal life.
The news feed this social media network will provide the most important updates on the work and with this you can know which conversations, presentations and contacts of a specific practitioner, especially as this use Skype.
If this is just the network will also use this network to promote their products to companies such as Office 365 and Dynamics package, one business management system, declare the president of Microsoft Satya Nadella, in a letter to employees he explained: “In essence, we can reinvent the way to professionals be more productive, while that reinvented the sales process, marketing and talent management”, i.e. a declared use of data in the servisse.
In times of crisis (in Brazil) this will be done in an accelerated fashion, thousands of people are putting their resumes in databases like LinkedIn, and this volume can be easily fed. It is the largest Microsoft business, which had already purchased Skype for $ 8.5 billion and Nokia for $ 7.1 billion, and was already in the market of professional networks since 2012, with the acquisition of Yammer for $ 1.2 billion.
As FinTechs vem aí
11
May
In defining research Venture Scanner company are empresasFinTech upstarts, made mostly by yo
ung people in more than 35 years and do exactly what a bank does, but with a much leaner structure (which reduces costs services).
Using the latest technology, ensures high efficiency and use greater reach of the Internet, and there are already the world no less than 1,406 fintechs, most of them with less than six years, and an important historical fact is that it was after the global financial crisis .
In 2014, these fintechs since they captured $ 29 billion in investment funds, with much lower rates, and the famous JPMorgan, through its president Jamie Dimon said its shareholders: “Silicon Valley is coming,” they are “bringing a lot of startups with brains and money to change our industry. ”
According to Goldman Sachs estimated that $ 4.7 trillion in revenues of banks can go into the hands of these “intruders”, higher than the Brazilian GDP, so a digital parents coming.
The digital technology has rocked the music industry, transport and film, and now issuing cards, loans and insurance contracts, it is a revolution so.
n 2014, these Fintechs since they captured $ 29 billion with the majority of them came six years ago, not by chance, after the global financial crisis in which JPMorgan was one of the epicenters were born these fintechs, in Brazil there are already some companies, the interest is much better, but is made a detailed survey of the customer.
Talking to computers
08
Mar
Researchers at the University of Southern California (USC) researchers are developing
a high-speed language processing system, which attempt to reproduce human efficiency of decision-making in slang, words shortening and other language vices that are embedded in everyday “While we human speakers can often understand and respond to what someone is saying to us in a fraction of a second, a typical voice interface will require much longer–often a second or two–to try to understand what you have said and respond in an appropriate way,” as said Professor David USC DeVault to NSF Foundation’s website.
a high-speed language processing system, which attempt to reproduce human efficiency of decision-making in slang, words shortening and other language vices that are embedded in everyday “While we human speakers can often understand and respond to what someone is saying to us in a fraction of a second, a typical voice interface will require much longer–often a second or two–to try to understand what you have said and respond in an appropriate way,” as said Professor David USC DeVault to NSF Foundation’s website.
Researchers are looking for new techniques that can simplify man-machine conversation, allowing the system to perform all computer processing steps required in any real-time while a user is talking, the systems available for smartphones are still slow and annoying.
The researchers note that systems often fail to realize what it means that what is said and how it should respond before the user has finished speaking.
For demonstration developed an agent for high performance game called Eve, where users describe the images they see on the computer screen and the agent tries to guess what they are talking fast and as accurately as possible, that is, trying imitate humans.
The system uses speech processing algorithms “incremental” to increase the speed of understanding agent, as described DeVault to the NSF website: “These findings underscore the importance of enabling systems to not only understand what users are saying, but to do so as quickly as a human would,” said DeVault.
It is the future coming and unlike saying that automatic translation systems are not possible, this system, although embryonic, could revolutionize the translation and conversation with machines.
