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FaceBook new Chatbots

Facebook to Create `Chatbots’

Recently Facebook Inc. had informed that it has opened up its Messenger app to developers in order to create `chatbots’ anticipating that by feigning one-on-one conversations between users and companies, it would tend to expand towards customer service and enterprise transactions.

Chatbots are considered to be automated programs which tend to help users in communicating with businesses, carrying out jobs like online purchases. Though chatbots had prevailed in some form for years, they have now become an interesting subject in the tech business since progress in artificial intelligence as well as machine learning have made them much more capable and possibly able to adopt an important role in the manner in which customers tend to communicate with businesses.

 Facebook had launched chatbots with a handful of partners comprising of Shopify which is an ecommerce site and cable TV news network CNN. The chatbots are said to be part of Facebook’s attempt in building its Messenger instant messaging app as go-to-place for customers in contacting businesses. It is a strategy which tends to threaten the out-dated call centres and could cut personnel cost for some of the businesses.

Controls a Huge Trove of Data

Chief Executive Mark Zuckerberg of Facebook had commented during the annual developer conference of the company in San Francisco that `you will never have to call 1.800 Flowers again’. Facebook is seen having many distinct benefits even though messaging platforms comprising of Kik, slack and Telegram already tend to have chatbots.

Facebook for one tends to control a huge trove of data on the estimated 1.6 billion people who utilise the main service and the 900 million who tend to use Messenger. This enables developers to create chatbots which can personalize jobs like making an airline booking or a reservation in a restaurant. Lauren Kunze, principal at Pandorabots, which has been constructing and organizing chatbots for companies since 2002, had stated that `from the enterprise or developer point of view, access to those 1.6 billion people seems very exciting. People like a personalized experience and when the chatbot can remember personal details as well as follow up’.For instance, CNN’s bot can learn user’s news preferences, and accordingly recommend articles and summaries.

Progressively Adding Features to Messenger

Last month, after an experimental Microsoft Corp bot, named Tay had released a barrage of racist and sexist tweets on being manipulated by Twitter users, tech companies will have to approach chatbots more carefully. The company had instantly pulled Tay from the Internet. Facebook has been progressively adding features to Messenger since it turned off as a separate app in 2014 and last year it had partnered with Uber and Lyft so that individuals could order a car without the need of going through the ride sharing app. Besides this it had also partnered recently with KLM Royal Dutch Airlines in order that customers could receive flight updates as well as booking confirmation through Messenger.

Chatbots could thus automate such interactions eliminating customer service calls. Chris Fohlin, director of client strategy at consulting agency Engine Digital had commented that its `offloading the pain of navigating those phone systems’.Making Messenger the go-to-place for business-to-person interaction, Facebook expects that people would spend more time in using the app and depend on it for day-to-day tasks.

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Facebook Can Map More of Earth In a Week Than We Have in History

Facebook Perform Better/Quicker Mapping the Earth in less than a Week

A blog post in the social network has announced that its AI system had taken two weeks in building a map which covers about 4% of our planet. It is 14% of the Earth’s land surface with 21.6 million square kilometres of photographs taken from space, processed and traced in a digital representation of buildings, settlements and the roads they tend to show. Facebook has said that it could perform better and much quicker possibly mapping the complete Earth in less than a week.

The goal of data-science team of Facebook is to create maps in helping the social network plan how to deliver internet to the users who are presently offline. It is an uncertain starting point though whatever one may think regarding Facebook’s internet colonialism, the drones of the company would be capable of beaming Wi-Fi to the disconnected till they know where they are. The model was competent in mapping 20 various countries after training on just 8000 human-labelled satellite photos from an individual nation. This overwhelming together with Facebook’s data science team had not even attempted to go fast.

Open Street Map Project

The company has stated that it has enhanced the process where it could do the same mapping within a few hours. Presuming that it had the photographs, it could map the Earth in around six days which is something that humanity has not managed to do yet. Facebook had mentioned in its blog post that they had processed 14.6 billion images with their convolutional neural nets, naturally running on thousands of servers at the same time. Utilising its AI, Facebook had imitated how humans tend to make maps in the 21st century.

It is now being made by a project known as Open Street Map that tends to use volunteer labour in tracing satellite photographs by hand, picking out the roads and houses. The subsequent maps have been utilised all across the world often for calamity response, with the system capable of building maps of a complete unmapped area within a few days. Facebook’s AI has the capability of doing the same within seconds. Mapping on the scale which its AI system had demonstrated would probably take decades for human team of extent. It is more data than people or their organisations that are built to manage.

All Neural Networks Scale Like Facebook’s Mapping AI

Map-making AI of Facebook is just one of the possibly thousands of narrow AIs, those which are trained to aim on individual task, tossing through human tasks around the planet presently, faster and on bigger scales. The CERN particle physics laboratory towards Geneva, Switzerland is utilising deep learning to discover patterns in the mass of its collision data and pharmaceutical companies are utilising it to discover new drug ideas in data sets which no human can align.

Alison Lowndes of Nvidia who tends to help organisation in building deep-learning systems has said that she now works with everyone, such as doctors, governments, researchers, parents, retailers as well as mysteriously meat packers. What is appealing is that all neural networks tend to scale like Facebook’s mapping AI. The actual power of narrow AI is not in what it could do since its act is almost not good as that of a human. Maps, which Facebook’s AI tends to produce is not as good as those which come from a company like custom map developer Mapbox.

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facebook advertising user growth and revenues faceoff : europe vs north america

           IN EUROPEAN MARKET

• In terms of MAU ( monthly active users)  European markets contributed 323 million  with an Europe  ARPU of $3.47.
• It’s 3rd time  Facebook crossed the $1 billion mark in ‘European revenue’ for the quarter and the first time Facebook crossed $1.1 billion in quarterly revenue.
•  Facebook more than doubled its revenue in Europe in just two years.
  
IN NORTH AMERICAN MARKETS .


•  Monthly active users  was 219 million with an ARPU ( canada & US combined ) it was $13.54. which was 3 times of Europe
• In the U.S. and Canada, it reported sales of $1.86 billion.. (source : techrunch)

21% marketing budgets by small business spent on social, facebook spends reach 60%

Social media saw higher adoption among small and business with business owners setting up specific budgets for social media marketing.

BIA Kelsey research data shows that 73% of small and medium business now use social media , with over 20% having specific budget for social web marketing

Facebook’s Artificial-Intelligence Software Gets a Dash More Common Sense

Artificial-Intelligence Researchers – Learn some of the Basic Physical Common Sense

In an attempt to discover how computers could learn some of the basic physical common sense, artificial intelligence researchers have undertaken a project for the same. For instance to comprehend unsupported objects tend to fall or a large object does not fit inside a smaller one, seems to be the main way human tend to predict, communicate and explain regarding the world.

Chief technology officer of Facebook, Mike Schroepfer, state that if machines are to be more useful, they would need the same type of good judgment of understanding. He had informed at a preview recently of results, he would share at the Web Summit in Dublin, Ireland, that they have got to teach computer systems to comprehend the world in the same way. Human beings at a young age, tend to learn the basic physics of reality and by observing the world.

Facebook had drawn on its image processing software in creating a technique which learned to predict if a stack of virtual blocks would tumble. The software tends to study by gaining access to images of virtual stacks or at times two stereo images like those that form a pair of eyes.

Crafting Software – Comprehend Images/Language of Deep Learning

It had been shown in the learning phase, that several various stacks some of which had toppled while the others did not. The simulation showed the learning software the result and after adequate examples, it was capable of predicting for itself with 90% accuracy if a certain stack would possibly tumble. Schroepfer comments that if one runs through a series of tests, it would beat most of the people.

Facebook’s artificial intelligence research group in New York had done the research. It concentrated on crafting software which could comprehend images as well as language utilising a technique of deep learning. Recently the group also showed off a mobile app with the potential of answering queries regarding the content of photos.

The director of the group, Yann LeCun who is also a professor at NYU, informed MIT Technology Review that the system for predicting when block would topple indicates that more complex physical simulation could be utilised in teaching additional basic principles of physical common sense. He added that `it serves to create a baseline if we train the systems uncontrolled and it would have adequate power to figure thing out like that’.

Memory Network

His group had earlier created a system known as `memory network’ which could pick up some of the basic common sense as well as verbal reasoning abilities by reading simple stories and now progressed, in helping in influencing a virtual assistant that Facebook tends to test known as M. M has more potential than Apple’s Siri or similar apps since it is powered by bank of human operators.

 However Facebook expects that they would steadily tend to become less important as the software learns to pitch queries for itself. Schroepfer informs that adding the memory network to M is showing how that could happen. By observing the interactions between people utilising M as well as the responds of customer service, it has learned already how to manage some of the common queries.

Facebook has not made a commitment of turning M into a widely available product; however Schroepfer states that the results indicate how it could be possible. He adds that the system has figured this out by observing humans and that they cannot afford to hire operators for the entire world but with the right AI system, they could organize that for the whole planet.

Facebook Claims Future As It Builds On Chinese Rivals

Facebook doesn’t seem to sit back even after becoming the de facto social media giant in terms of daily active users and incredible reach round the globe. Facebook once again takes the world by storm by announcing its new feature for the Messenger users where they can order an Uber car from the Messenger app itself. Facebook has turned its simple messaging client into a wholesome platform and it is pushing it hard to be seen as a leader in the West.

How Messenger became a platform? 

The platform and its definitions have been heard since the inception of internet. First we have had CPU where operating system platform was heard, then Linux development brought the platform of kernerl and later on we were enveloped by the web as platform for the enterprise and finally even the web browser became a dominant platform in itself with the development of Chromebook. Facebook and some other websites are even proclaiming them to be a platform with various benefits and features.

Facebook has gradually worked and developed the Messenger to such a point where it is being pushed forward as a platform. The move of Facebook and Uber coming together on a single platform i.e. Messenger is interesting and it showcases the Messenger capabilities and might even help in making a dominant platform. But Facebook IM client-Messenger is not alone there are a lot of competition in Silicon Valley with players like WhatsApp, Apple Messages and Skype which offers more features, services and benefits as a platform.

Facebook takes the Chinese rivals head on

It will come as surprise for the consumers in west that Facebook and Silicon Valley is rather behind the curve on the idea of ‘’messaging as a platform”. China has been a remarkable force in the hardware production they have taken a huge leap in the ‘messaging as a platform’ by working on developer outreach, user education along with the commercial implementation and mass-market adoption. It was the China’s TenCent’s WeChat which came first as successful platform in messaging by offering voice and text messaging along with ability to purchase good and pay for various services. WeChat also allows a number of services to run on the top of the messaging app which makes it easier for the customers, clients and other businesses to interact with each other.

Messenger as a platform is soon to rise to the challenge

Facebook’s decision of allowing people to order an Uber cab via its Messenger opens up the idea of utilizing it as a platform on larger level. But competition will reach out to Facebook soon as other Silicon Valley companies are gearing up to allow running of more services on top of the messaging app. There is one distinct advantage which Facebook has over Chinese rivals that is Chinese platforms are mostly resting to China only which gives Facebook a whole world to try push its Messenger as a platform.