Do you Think That Facebook and Google Are the Only Ones to Know Everything You Do? Mistakes

“If you want to keep a secret, you have to hide it yourself too, ” wrote George Orwell in 1984. The fictional character of the “Big Brother” Orwell’s (1949) masterpiece has changed many times since the 1950s. It was the inspiration for television programs, movies, becoming more and more contemporary today.

“Big Brother is watching you,” this is the slogan that recalls in the book the supreme supremacy of the Great Brother. In 1984 it never becomes clear that the big brother had a face, whether it was a person, a symbol created by the party or entity. Today we are sure to have the ideas a bit clearer about what Big Brother’s face is on the Internet of things.

I bet that most of you will have thought about Facebook? About Google? Facebook and all of us, including Google, our smartphone, and our smartwatch, even more than our sweet half, our mother or our bes

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“If you want to keep a secret, you have to hide it yourself too, ” wrote George Orwell in 1984. The fictional character of the “Big Brother” Orwell’s (1949) masterpiece has changed many times since the 1950s. It was the inspiration for television programs, movies, becoming more and more contemporary today.

“Big Brother is watching you,” this is the slogan that recalls in the book the supreme supremacy of the Great Brother. In 1984 it never becomes clear that the big brother had a face, whether it was a person, a symbol created by the party or entity. Today we are sure to have the ideas a bit clearer about what Big Brother’s face is on the Internet of things.

I bet that most of you will have thought about Facebook? About Google? Facebook and all of us, including Google, our smartphone, and our smartwatch, even more than our sweet half, our mother or our best friend can know.

There are not only “big” people

Google knows exactly what we want, what we are looking for and where we want to go on vacation. Our personal data (which only have our name) are now at the mercy of everyone, not just Facebook and Google.

Facebook and Google are just the most famous actors on the data stage, but as in every respected story, there are not only the main players, but there are so many secondary actors and behind-the-scenes actors that we often forget about, or we simply ignore it. Here are some examples.

There are many SDKs, software development kits and SaaS, Software as a Service created to optimize user experience.

There are some software (development kit) for example that record your screen when you use an app. The video is then sent to a server so that developers can see how we use the app in real time. This means that when you use an app, there is a chance that someone is watching our movements and choices to use that information to create a more personalized user experience.

Other commercially available services monitor user group sessions on sites by providing their customers with maps that are named “heat maps” that show the most clicked areas of own site to the purpose, therefore, to create and place the most relevant content in the areas where more interest is concentrated.

Here’s how a Google heat map looks like.

google-search-heat-map

Your data (anonymous) to the best bidder

In addition to this kind of software and services, there are also businesses that offer our data (in anonymous form) as a package to the best bidder. There are now many companies of this type who sell our business data to optimize their advertising targets or the UX of their website.

Now, we do not want to raise the level of general anxiety about the use of personal information, or what unknown people may or may not know about our account. But it is good to know how we are constantly observed when we use computers and smartphones and how our data is sold for commercial purposes.

That being said, no wonder some apps are more popular than others or have a much more fluid UX than others.

But there is also something good.

The distribution of our data gives us some bitterness in the mouth, but it does not only have its negative sides. Thanks to this kind of software and technology, we make sure that the online services we use offer us an even better experience. How often have we complained about the poor user interface of a site or app, or did we prefer a service rather than another for the ease of use of the channels?

And was not this always the case? Any system, organization or business to work better and make our best experience has studied us carefully (like laboratory mice) to understand our psyche through surveys, market research, or watching movies studying our behaviors within a supermarket or shopping mall.

Today, it is faster, faster and more personal. Companies operating on the Internet of things know everything about us, and all they know we have told them.

Overcome The Writer’s Block With Artificial Intelligence

The white page: cross and delight of every writer. Millions of possibilities to free creativity, yet often difficult to realize. Minutes, hours, and page remain blank. It’s called the writer’s block and has a new antidote today: the Artificial Intelligence.

Ask for help with artificial intelligence

The secret weapon in the war at the writer’s block comes from machine learning and in particular from the tool developed by Janelle Shane.

The researcher has built a neural network that can create the first sentence of a novel. How does it work? This is a machine learning process for which the system serves a significant amount of data to learn and generate a consistent result.

In this case, the data consist of the first sentences of famous novels. At first, the data entered

The white page: cross and delight of every writer. Millions of possibilities to free creativity, yet often difficult to realize. Minutes, hours, and page remain blank. It’s called the writer’s block and has a new antidote today: the Artificial Intelligence.

Ask for help with artificial intelligence

The secret weapon in the war at the writer’s block comes from machine learning and in particular from the tool developed by Janelle Shane.

The researcher has built a neural network that can create the first sentence of a novel. How does it work? This is a machine learning process for which the system serves a significant amount of data to learn and generate a consistent result.

In this case, the data consist of the first sentences of famous novels. At first, the data entered was not enough (two hundred sentences about), so the result was very similar phrases and unusable for this purpose.

Janelle needed more data: how to find them? With crowd-sourced, asking the web community. Thanks to the contribution of those who put in other phrases he was able to train the AI ​​so that it generated usable results and in the first two hours he collected about 800 phrases.

Drawing on the results of the tool, any copywriter or novelist may find it helpful to overcome that dreary block.

Not alone AI will live copywriters

This is the last approach to finding a solution to the writer’s block, but since this is a recurring situation, attempts to remedy it have already been multiple, even in the past.

Among these, we can write collectively: a solution that does not aim to solve the problem directly but to prevent it. Sharing a writing project stimulates you to find new ways and feeds on the experience and creativity of other writers.

Another method is to participate in free writing laboratories. A good way to find them is to look for them in Facebook events – if they find many (especially in big cities), they are free and the participants have the most diverse backgrounds.

Today, the tool we have talked about can help you create the first sentence, but can you even write a whole book about autonomy in the future? We just have to be watching!

8 Cases Where You Use Artificial Intelligence Without Knowing It

It is no coincidence that Artificial Intelligence and Machine Learning are used or will be used for such technologies that will define how the real future of many industries.

However, one can not and should not talk about the future, but of the present. In the field of communication and marketing, a lot of algorithm-based tools can be used daily, which can suggest the best thing to do, lighten up the work, or be able to help us in more basic tasks, writing a message in the best possible way. Think also of customer care services, which in many cases consist of real chatbots that can answer many different questions or needs.

The artificial intelligence has come to our lives for some time now, even outside the scope of work, if you think of apps that we listen to music, play online, or allow us to get in touch with our friends. The <a href="https://lea

It is no coincidence that Artificial Intelligence and Machine Learning are used or will be used for such technologies that will define how the real future of many industries.

However, one can not and should not talk about the future, but of the present. In the field of communication and marketing, a lot of algorithm-based tools can be used daily, which can suggest the best thing to do, lighten up the work, or be able to help us in more basic tasks, writing a message in the best possible way. Think also of customer care services, which in many cases consist of real chatbots that can answer many different questions or needs.

The artificial intelligence has come to our lives for some time now, even outside the scope of work, if you think of apps that we listen to music, play online, or allow us to get in touch with our friends. The Machine Learning algorithms that can provide us the best user experience we may want, according to our needs.

We discover together 8 typical activities in the industry where artificial intelligence is used, sometimes even without realizing it.

# 1 Search Engines

For example, Google uses a system governed by the AI ​​called RankBrain to try to figure out what the user wants when he has asked a question or an affirmation with which the search engine is not very familiar. Through machine learning, RankBrain is able to interpret words and phrases that Google has never had to do, using expressions that have a similar meaning.

# 2 Programmatic Advertising

For Programmatic Advertising is computerized advertising. In a nutshell, technology can buy autonomously online advertising space. They consist of software specializing in the purchase of banners and other digital forms of advertising that buy online advertising space on different sites and platforms. This is done based on factors such as a user’s demographic information, his online behavior, and the content he is looking at when the ad appears.

This type of technology is able to act independently without the activity being managed by a marketing agency. In this way, the AI-based software can optimize monetization of online campaigns based on real-time results, as well as some tips on what type of ads to deliver.

# 3 In-image Advertising

When it comes to In-image advertising, it is a form of advertising where specific images or photographs on websites are matched to their advertisements.

Based on a machine learning algorithm called neural network, characterized by a series of mathematical functions that handle information similar to the human brain, some technologies can identify all types of objects, people, colors, logos, and more still present in an image.

In this way, the software can place a suitable advertisement for each image. For example, a parent can see a child-specific ad on a laptop computer inside a photo depicting a school.

# 4 Consumer Profiling

Branding your customers’ profiles, brands use data analysis to divide consumers into different groups, based on their demographic information, past purchases, offline behaviors, and online search history.

By using software that uses artificial intelligence, you can predict some data and identify when something special happens to consumers. By analyzing some online behaviors and purchases, it is possible to understand when a woman is about to have a baby, being able to guide her in purchases that best meet her needs.

# 5 Sports Sponsorships

The previously mentioned neural networks can also help the various brands to get a lot of useful information about which sponsorships in stadiums or palaces are really valid. By identifying at what times a company’s logo appears on screen during a live broadcast, this type of technology informs the brand on how much time on the screen they actually get.

In this way, you can also calculate, the time that the logo passes on the screen, even to what is evident to the user. By comparing this data with the number of people watching the broadcast, you can also understand how much it would cost you to achieve the same result through television ads, streaming platforms, or social networks, gaining good comparisons for your marketing strategy.

# 6 Lead Nurturing

The lead nurturing is nothing but the communication activities carried out by when it is applied a first contact request from a consumer until you actually purchase a product.

Consumers expect personalized and multi-channel communication, so that a relationship with a brand is created, which has the task of transmitting customer confidence. The purpose of this activity is of course to dialogue and convince the potential customer to prefer their own company and its products compared to those of the competition.

Artificial intelligence is also present in these activities: there are many “digital commuters” that can entertain conversations with potential business customers, thus gaining contact information, promoting their products, and freeing customers of no time concerned. Without using people within your sales team, the consumer will just feel like talking to a human.

# 7 Product Marketing

Have an Amazon account that shows “Customers who viewed this item also viewed:”? This service uses artificial intelligence to advise the best products to customers. The main e-commerce sites use software that can connect consumers with similar tastes.

If Filippo and Luigi bought the same five products in September, there is a good chance that Filippo will be interested in the first product Luigi bought in October.

# 8 Dynamic pricing

To respond flexibly to market demands, one of the techniques used by online sellers is dynamic pricing, which allows you to change the prices of your products in real time.

This technique uses machine learning to set the best price on the basis of what price they were willing to pay consumers in the past for a specific product type. In a nutshell, algorithms study the moments you buy and how much you have spent on buying; That’s why transport prices vary based on when you buy your ticket.

10 Key Concepts How Artificial Intelligence is Changing Our Way of Doing Business

One of the processes that are radically transforming the world of work as we know it is the use of Artificial Intelligence technologies for the business. The revolution is already underway and is pushing the top management of many companies to revisit their management models to ride the wave of automation.

Successful examples are numerous, from Amazon, using efficient Kiva robots in its warehouses, reducing operating costs, to General Electric, which uses robots for preventive maintenance of its industrial plants.

It is clear that CEOs should also consider the implications of Introducing Artificial Intelligence within their own companies.

A <a href="http://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/how-artificial-intelligence-can-deliver-real-val

One of the processes that are radically transforming the world of work as we know it is the use of Artificial Intelligence technologies for the business. The revolution is already underway and is pushing the top management of many companies to revisit their management models to ride the wave of automation.

Successful examples are numerous, from Amazon, using efficient Kiva robots in its warehouses, reducing operating costs, to General Electric, which uses robots for preventive maintenance of its industrial plants.

It is clear that CEOs should also consider the implications of Introducing Artificial Intelligence within their own companies.

A survey conducted by McKinsey on a 3,073 executive and 160 study cases in 10 countries has identified 10 key factors that CEOs have to consider to undertake a successful implementation.

1. Artificial intelligence numbers in the business world

Although investments are increasing, corporate adoption of AI technologies is still limited. Total investments range from $26 to $39 billion in 2016, with tripled values over 2013.

In spite of the investment levels, the spread is still limited: only 20% of the interviewed sample uses one or more technologies (autonomous vehicles, computer vision, language, virtual agents, automatic learning).

We have come to the point of self-sufficiency. Technologies such as neural-based automatic learning and natural language processing are reaching a stage of maturity, so their value is so clear that they can define the AI for the business.

The telecommunications and financial services leading the game, with players in the sector who plan to increase spending on innovation related to Artificial Intelligence by 15% annually over the next three years.

2. More AI more sales (more data)

The 30% of the sample that has adopted the technology said it had increased its turnover, having gained market share or that it has expanded its products and services.

In addition, the first to adopt Artificial Intelligence say they expect their profit margins to grow up to five points higher than their competitors.

A separate analysis reveals that it is already demonstrated how innovation is boosting profits in the same range of associated digital technologies, such as big data and advanced analytics.

3. The weight of a good example

The poll sample declaring a positive experience with AI for business considers it essential to support leadership for a strategy for applying new technologies.

Support not only from CEOs and IT executives but also from the Board of Directors and top management of the so-called C-suite.

4. Automation and partnership

Partnerships need to be developed to increase skills and competencies. Digital giants like Amazon and Google also sought companies and talents beyond their borders to strengthen their skills. Just think about acquiring DeepMind by Google, who is using automatic learning to improve a top business such as SEO.

The study demonstrates how the first to adopt AI has also acquired the right technology solutions; only a few have developed and implemented in-house solutions.

5. The importance of testing

Building a team that deals only with automation activities is not the best idea. Taking responsibility solely to IT technicians may be unproductive, the risk is to launch a technology without being properly tested.

To be sure of its proper functioning, it must be evaluated both by industry leaders and by digital innovation experts.

6. Set up a strategy

A portfolio strategy can accelerate success. The tools offered by Artificial Intelligence are very varied, from those that can solve problems (for example, detection of preventive maintenance schemes) to that less well-offed but equally useful (e.g., a tool to develop a competitive strategy). This approach allows you to work with short, medium or long-term goals.

7. The machine learning boom

Automatic learning is a remarkable tool, attracts a lot of attention from the media and gets significant gains. It is not suitable for everything.

Although there are many fields of application, machine learning is just one of the innovations that can solve business problems. For example, technologies implemented to improve call center performance can be very different from those used to identify credit card fraud.

It is crucial to look for the right tool to solve the problem of a particular business segment.

8. Digital Transformation

An adequate digital transformation must precede the application of the automation systems. The leaders in the adoption of Artificial Intelligence – such as high tech, telecommunications and automotive – are also the most digitized.

Within individual industries, companies that first adopted AI for the business had already invested in digital skills, including big data and cloud infrastructures.

Referring to the statistics, chances of generating profits using technology are 50% higher for companies that have strong digitization experience.

9. The best defense is the attack

Studies on digital delay show how adopting an offensive strategy is one of the most important factors that enable companies to turn a threat into an opportunity.

An organization with an offensive strategy that develops new business models can build more robust paths than those that preceded digitization.

The same seems to happen for AI: the first to adopt it have a greater profit than those who adopted it later.

10. People and processes, the big challenge

In many cases, incorporating Artificial Intelligence into decision-making processes is more important than the technical implementation itself.

The development of the AI is based on principles such as advanced vision, collaboration, and thought building. The business will have to focus on decision-making, on a culture based on continuous improvement and learning.

Expectations related to the use of Artificial Intelligence within companies are remarkably high, due to the innumerable fields of application of the same, as well as the new technologies with the enormous potential that arise every day.

Eye See: The Innovative Helmet to Help the Blind

Five students from the Kunming University of Science and Technology, a college of south-east China, have been working for a whole year for a really interesting project. The goal was to develop a tool that could help and support both blind and visually impaired people.

Eye See is a helmet whose core component is a laser radar, similar to those used by the automated driving systems mounted on new generation cars: it can perform a full 360 ° omnidirectional scan, identifying and signaling obstacles within 3 meters by means of a special acoustic signal.

[youtube https://www.youtube.com/watch?v=iojy95au714%5D

Eye See recognizes texts and images

The helmet is equipped with a frontal cam, able to do two indispensable tasks:

1. help the person describing what he sees</strong

Five students from the Kunming University of Science and Technology, a college of south-east China, have been working for a whole year for a really interesting project. The goal was to develop a tool that could help and support both blind and visually impaired people.

Eye See is a helmet whose core component is a laser radar, similar to those used by the automated driving systems mounted on new generation cars: it can perform a full 360 ° omnidirectional scan, identifying and signaling obstacles within 3 meters by means of a special acoustic signal.

Eye See recognizes texts and images

The helmet is equipped with a frontal cam, able to do two indispensable tasks:

1. help the person describing what he sees, thus allowing the visually impaired to get directions of the object or person he faces. All this happens thanks to a small Artificial Intelligence that is equipped with the helmet, which can recognize the colors of clothes worn by the person who is confronted by the recognition of an image, or to hypothesize the age of the person, making a verbal description.

2. Recognize Chinese ideograms and then read it accurately and accurately aloud. This helps to help not only those who do not see, but also people who are visually impaired in reading books, magazines, and posters.

Helmets for people with visual problems had previously been used, especially those named Sonic Eye, which allowed users to track their range of action using a system based on echolocation, used to determine how far or close they were from an object.

But with its text and image recognition software, this helmet seems to be definitely something more innovative and improved.

So far, the five students have filed up to 17 patents, and they do not seem to want to stop, continuing to work on system optimization to make the helmet a support that can be produced in series, making it easily accessible to anyone with blindness or low vision.

We look forward to developments!

Pornhub Will Use Artificial Intelligence to Recognize Faces (No, Not Yours!)

Pornhub (for those who do not know it) is a pornographic video hunt portal founded in 2007 by Malcolm Flannigan where the user is facilitated in search of his pleasures through tags, categories, and subcategories. After the first two years of life, it became the most popular industry site in the world.

What is artificial intelligence with Pornhub?

Where there is business, there is technology and innovation, and it’s no surprise that artificial intelligence can be applied in the porn industry: Pornhub is using a face recognition machine learning to catalog the 5 million hot videos on its platform.

Pornhub has adopted a facial recognition software that can distinguish between over 10,000 movie stars and tag it correctly with categories such as “blonde” or “public” or “outdoors” (until now the tags were only inserted by those who upload the vid

Pornhub (for those who do not know it) is a pornographic video hunt portal founded in 2007 by Malcolm Flannigan where the user is facilitated in search of his pleasures through tags, categories, and subcategories. After the first two years of life, it became the most popular industry site in the world.

What is artificial intelligence with Pornhub?

Where there is business, there is technology and innovation, and it’s no surprise that artificial intelligence can be applied in the porn industry: Pornhub is using a face recognition machine learning to catalog the 5 million hot videos on its platform.

Pornhub has adopted a facial recognition software that can distinguish between over 10,000 movie stars and tag it correctly with categories such as “blonde” or “public” or “outdoors” (until now the tags were only inserted by those who upload the videos).

With 80 million daily access to the platform, users will be facilitated in searches, and next year artificial intelligence will also be used to identify other features of the movies.

In an interview with Corey Price, vice president of Pornhub, he told Venture Beat that the company uses AI to accelerate some outdated processes, and that will be more accessible to desired content, the higher the satisfaction.

It will take some time

However, the speed of beta learning in machine learning is not yet a Ferrari: so far it has scanned approximately 50,000 videos in a month, and this step will take years to catalog the content of the site.

And privacy? The implementation of facial recognition technology has worrying implications for privacy: often whoever uploads the videos wants to remain anonymous, and it seems that Pornhub will only categorize the most famous faces already stored in the database and who have already agreed to use it. Plus, porn actors usually do not use their real names.

However, we need to monitor the development and trend of the tags, and indeed the use of the IA will help in managing the amount of video and access to constantly growing users.

Airline Wants to Conquer Millennial With VR Devices in Flight

If you have ever felt that the way we travel by plane is somewhat outdated, know that you are not alone. Apparently, Air France also finds the same and, therefore, is bringing a new arm of its company focused only on the millennials, called Joon. What does it offer otherwise? Well, what about streaming content and a USB charger, to watch what you want from your phone or tablet?

Ah? Is this common in most common flights offered by airlines? Calm down, because Joon does not just offer that. In its official announcement, the company says it also offers partnerships with services such as Airbnb and Waynabox – which means that you will be able to book places to stay near your flight tickets.

Another promise from Joon is the offering of a virtual reality glasses system called “AlloSky Virtual Reality Headset,” which promises to offer “various inno

If you have ever felt that the way we travel by plane is somewhat outdated, know that you are not alone. Apparently, Air France also finds the same and, therefore, is bringing a new arm of its company focused only on the millennials, called Joon. What does it offer otherwise? Well, what about streaming content and a USB charger, to watch what you want from your phone or tablet?

Ah? Is this common in most common flights offered by airlines? Calm down, because Joon does not just offer that. In its official announcement, the company says it also offers partnerships with services such as Airbnb and Waynabox – which means that you will be able to book places to stay near your flight tickets.

Another promise from Joon is the offering of a virtual reality glasses system called “AlloSky Virtual Reality Headset,” which promises to offer “various innovations such as a high-resolution screen and a dioptric correction to fit the eyes of the entire world” during long flights for business class customers.

Who would rather use these VR devices gadgets instead of enjoying all the comfort of business class? That’s a good question. But, as you can notice, everything for Joon is a matter of being a stylish and modern experience as the millennials want, is not it? This is a combination of organic snacks with flight attendants with clothes made out of recyclable fabric.

As you may have guessed, many of Joon’s proposals and promises remain to be explained, so we’ll have to wait and see what else the company has to offer us. And you: do you think streaming videos, USB chargers, and mysterious VR devices are what was missing from a real flight experience? Leave your opinions in our comments.