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

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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.

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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.

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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.

Security is Fundamental, But Are We Too Underestimating it?

Do we live in a more risky world than in the past? The answer is yes, according to 72% of top business managers worldwide interviewed by BDO for the Global Risk Landscape 2017 edition, the annual report of the company’s audit firm and business advisory firm investigating business risk factors international.

What is surprising is that there is no security issue out of the top three risk factors, out of concern about compliance with regulations (35%), increasing competition in the market (30%) and the economic crisis ( 29%). If questioned about the company’s uptime about the changes in global business, only 21 percent of European business leaders point to cyber risk as a factor that will surprise their businesses over the next 10 years.

The context outlined by the BDO report seems totally inadequate to the current global scenario, where we are attending world-c

Do we live in a more risky world than in the past? The answer is yes, according to 72% of top business managers worldwide interviewed by BDO for the Global Risk Landscape 2017 edition, the annual report of the company’s audit firm and business advisory firm investigating business risk factors international.

What is surprising is that there is no security issue out of the top three risk factors, out of concern about compliance with regulations (35%), increasing competition in the market (30%) and the economic crisis ( 29%). If questioned about the company’s uptime about the changes in global business, only 21 percent of European business leaders point to cyber risk as a factor that will surprise their businesses over the next 10 years.

The context outlined by the BDO report seems totally inadequate to the current global scenario, where we are attending world-class cyberattacks such as WannaCry and Petya. If this is accompanied by Ponemon and IBM estimates, which account for $4 million in the average economic loss caused by a company by system violations in 2016, with an increase in ransomware attacks by 6,000% a year last, it is clear that the security issue is at least underestimated.

According to BDO, there are eight steps each company should take to be able to be resilient to cyber attacks. The first is to constantly update security information systems with the latest software versions available to avoid the so-called 0-day, publicly known security vulnerabilities.

The second step is to install monitoring systems that timely activate the alarm in case of violation. What’s important is to know what data are contained in their systems and how they are defended. The fourth step is to protect this data with appropriate access control systems. The fifth is the corporate culture: it is necessary to teach all employees how to recognize an ongoing hacker attack and how to take safe behaviors during daily work.

The next step is to look at the business supply chain and ensure that stakeholders and third parties are well prepared for cyber-risk by sharing good practice. Finally, we need to be able to discuss the cybernetic risk at the summit adequately, as we would address any other risk, economic or otherwise.

In the event of an attack, as always stated in the BDO report, the first thing to do is to realize that the attack is ongoing. Then, immediately shut off the parts of the attached system, to avoid contagion propagation. At the reputational and communicative level, it is also necessary for each company to prepare in advance an official standard statement that can promptly send the press and stakeholders.

More Than 7,000 IoT Malware Have Been Discovered in 2017 Alone

A greater number of devices connected to the Internet and each other also means a significant increase in the number of malware that reaches these devices. This is the conclusion of Kaspersky Lab’s five-month study of threats involving the Internet of Things (IoT).

Only from January to May 2017, researchers detected 7,242 samples of malware on those devices. The number is 74% more than the total number of samples detected in the period between 2013 and 2016.

According to the scientists, the attacks already existed a few years ago, but they even boomed in 2016 with the emergence of the Mirai botnet. And there is no lack of devices to be targeted: according to Gartner data, there are more than 6 billion devices connected to the Internet on the planet.

Size is not document

Whether they are thermostats, sensors, refrigerators, garage doors, smart

A greater number of devices connected to the Internet and each other also means a significant increase in the number of malware that reaches these devices. This is the conclusion of Kaspersky Lab’s five-month study of threats involving the Internet of Things (IoT).

Only from January to May 2017, researchers detected 7,242 samples of malware on those devices. The number is 74% more than the total number of samples detected in the period between 2013 and 2016.

According to the scientists, the attacks already existed a few years ago, but they even boomed in 2016 with the emergence of the Mirai botnet. And there is no lack of devices to be targeted: according to Gartner data, there are more than 6 billion devices connected to the Internet on the planet.

Size is not document

Whether they are thermostats, sensors, refrigerators, garage doors, smart wristbands or even toys, these products are especially vulnerable because the firmware of each product usually does not receive as many security updates. It has standard passwords and does not receive the user’s due attention. And, once controlled, they can not only receive commands remotely but also serve as the gateway to the invasion of other electronics in the house.

On the other hand, hackers find several advantages when attacking such devices because they have low power consumption, are portable, low cost, are available on the Internet and can be configured with open source tools available for free.

The number of connected device installations in the healthcare industry is increasing consistently. According to a report by Grand View, it is estimated that globally the healthcare industry will invest about $ 410 billion in IoT devices, services and software by 2022. Along with this trend, emerged from some procedures like Medjack, in which attackers seek to compromise equipment that connects to medical devices.

In August of this year, one of the leading manufacturers of pacemakers issued a call alert to upgrade firmware to about 465,000 patients after discovering a vulnerability that gives the attacker the ability to perform different attack vectors that would have a direct health impact of patients.

It’s a trend that is far from reversible and increasing every day. This leads us to the urgency of thinking about what security measures should be taken for this type of technology.

In China, A Hyperloop Competitor Wants to Create 4000 km/h

China could still get a network of Hyperloop routes ahead of the rest of the world. Media reports show a concept that is to be used for short, medium and long distances – for passengers and freight and at speeds of more than 4000 kilometers per hour.

The Chinese Aerospace Science and Industry Corporation, as reported by The Register, citing Chinese media, is planning to use magnetic levitation trains in vacuum tubes that are going to the whole country. On short distances between cities speeds of 1000, on medium distances between conurbations 2000 and on long distances and with cargo loads even 4000 kilometers per hour are to be reached.

The consortium behind the concept has, according to own data, more than 200 patents with which the plans are to be implemented. For the energy supply of the network, the tubes should also be covered with solar cells on the upper side – China’s ow

China could still get a network of Hyperloop routes ahead of the rest of the world. Media reports show a concept that is to be used for short, medium and long distances – for passengers and freight and at speeds of more than 4000 kilometers per hour.

The Chinese Aerospace Science and Industry Corporation, as reported by The Register, citing Chinese media, is planning to use magnetic levitation trains in vacuum tubes that are going to the whole country. On short distances between cities speeds of 1000, on medium distances between conurbations 2000 and on long distances and with cargo loads even 4000 kilometers per hour are to be reached.

The consortium behind the concept has, according to own data, more than 200 patents with which the plans are to be implemented. For the energy supply of the network, the tubes should also be covered with solar cells on the upper side – China’s own Hyperloop could even be neutralized in combination with nuclear power plants.

The cost of such a stretching net would be immense. Many conventional railroad lines in China are, for this reason, only laid on a single track in the mountain regions and are therefore heavily utilized. Train rides from one to the other end of the country can take several days. Nevertheless, the construction of a Hyperloop could actually take place for political reasons: the Lhasa railway to Tibet has also cost the People’s Republic a lot.

Whether the technical requirements for such a project exist is doubtful. Recently, teams from all over the world had taken test drives with sledges at the Hyperloop competition in Nevada. The record was set by a team from Munich with a speed of 324 kilometers per hour, far from the 4000 kilometers per hour postulated in China.

In Shanghai, however, the Transrapid, developed in Germany, has been operating as a magnetic levitation train with proven technology for more than a decade.