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If you have ever felt that the way we travel by plane is somewhat outdated, know that you are not alone.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

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If you have ever felt that the way we travel by plane is somewhat outdated, know that you are not alone.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.

How to Use Artificial Intelligence to Support Human Work

With all the talk about artificial intelligence, a lot of people think that we are on the verge of a new era, in which humanoid robots capable of speaking and walking will invade the labor market at any moment.

While technology is moving in that direction, this scenario is still decades away, according to most forecasts. AI certainly impact the way we work today and will influence even more deeply the way we conduct business – until, finally, robots are our colleagues from work.

For now, however, artificial intelligence is able to highlight our own abilities and work with us through technology embedded in machinery, wearable devices, and others. These “coworkers” can help us accomplish tasks mo

With all the talk about artificial intelligence, a lot of people think that we are on the verge of a new era, in which humanoid robots capable of speaking and walking will invade the labor market at any moment.

While technology is moving in that direction, this scenario is still decades away, according to most forecasts. AI certainly impact the way we work today and will influence even more deeply the way we conduct business – until, finally, robots are our colleagues from work.

For now, however, artificial intelligence is able to highlight our own abilities and work with us through technology embedded in machinery, wearable devices, and others. These “coworkers” can help us accomplish tasks more efficiently.

As we move into this transition, we are expected to rely more and more on the decisions and directions of AI devices. They can process data in real time and reveal what our actions should be based on solid, measurable facts. Our short-term challenge is to discover how to accept technology as an extension of our team, as well as challenge and improve it for the sake of the business.

Those who face this new reality with optimism envision a future where human intelligence and intelligent systems will be intertwined in coexistence and will exchange information continuously so that one is better with the other. AI, therefore, can amplify human intelligence.

Here are fascinating ways in which artificial intelligence and human beings are already coexisting in the business world:

Smart Takers

Technology drives the transformation of physical retail stores to enhance the consumer experience: the innovative Oak Lab tester mirror not only reflects the buyer’s image but is also a technology-driven interactive touch control shopping center RFID.

Consumers can customize their taster experience, ask store sellers for assistance, and even receive recommendations for other complimentary products. This technology is not designed to replace vendors, but to make their work easier and more efficient.

More efficient global logistics chain

With a combo of blockchain payments, mechanical vision and artificial intelligence, bext360’s mission is to “improve the global logistics chain for agricultural products.” The company is currently impacting the coffee, and small-scale farmers trade with its “suppl (ai)” solution for the entire grain chain, which makes it easier for farmers to get a fair price and be paid instantly for the product.

Coffee shoppers can quickly analyze grain quality through the “eyes” and help of a mobile robot. So the company app helps the farmer and the buyer negotiate a fair price. Using blockchain technology, the app and a cloud-based software record the origin of the beans and who paid how much for them. Wholesalers and retailers have the option to embed the API into their website, marketing, the point of sale systems, and tools to help manage the supply chain.

Automobile insurance

For the auto insurance industry, evaluating vehicle damage to handle claims is a complicated and time-consuming procedure that Tractable hopes to shift with its AI for specialized visual tasks. At the heart of any artificial intelligence, technology is the data that inform your decisions. In this case, the AI network studied a huge database of automotive complaints and police data.

If the tool analyzes the images and finds something objectionable, it issues an alert for the process to be reviewed by humans. The goal is to make the complaints process more agile and accurate for human representatives.

Employee Issues

Software created by Starming uses automated learning to route employee issues to the right person. The software records the history of questions and answers and learns to apply them on current issues in order to find the right experts within the company.

There are many applications for this kind of learning, where machines retain the knowledge of key people to relieve specialists who need to respond to similar questions several times. The result, besides the good service to the employee, is the productivity gain.

Administrative Assistant

In today’s corporate world, Baxter AI expects to take on many of the administrative tasks that delay professionals from many different areas. This artificial intelligence service can collect information from Google Analytics, SQL, Excel, and other databases to build reports that typically represent tedious tasks.

Now is the time to accept artificial intelligence systems like our new coworkers and trust them and their abilities to deal with predictive, intelligent and analytical technologies.

IBM And MIT Are Researching Jointly Artificial Intelligence

The renowned Massachusetts Institute of Technology and the company IBM are setting up a joint laboratory for artificial intelligence: the MIT-IBM Watson AI Lab is to carry out basic research and develop concrete technologies with the help of physicists, economists, and computer developers.

IBM will contribute 240 million dollars to the cooperation between the company and the university for the next ten years, reports VentureBeat. Both institutions will hire researchers for the new laboratory, which will jointly carry out research in four areas that have been identified as relevant for the future with AI.

The research areas of MIT-IBM Watson AI Lab include, in practical application, the development of new AI algorithms and

The renowned Massachusetts Institute of Technology and the company IBM are setting up a joint laboratory for artificial intelligence: the MIT-IBM Watson AI Lab is to carry out basic research and develop concrete technologies with the help of physicists, economists, and computer developers.

IBM will contribute 240 million dollars to the cooperation between the company and the university for the next ten years, reports VentureBeat. Both institutions will hire researchers for the new laboratory, which will jointly carry out research in four areas that have been identified as relevant for the future with AI.

The research areas of MIT-IBM Watson AI Lab include, in practical application, the development of new AI algorithms and the use of physical research for new hardware in this area, especially in quantum computing. In more theoretical future studies, the application possibilities of AI in specific industrial areas as well as the possible effects of this technology on society are to be investigated.

The research of AI should be useful to both partners and is not the first collaboration between MIT and IBM in this area. Last year, IBM and the MIT Department of Brain and Cognitive Sciences published a joint study on image recognition by AI. The results of the new laboratory are to be partly made available to the world but partly also in commercial products from IBM.

Unlike other AI labs, such as Google’s Deepmind and the OpenAI non-profit project launched by Elon Musk, Microsoft, Amazon and other investors, IBM’s Watson AI Lab is more interdisciplinary.

Stop Curriculum Vitae: Unilever Takes on Artificial Intelligence and Gamification

The Unilever brand, starting in July 2016, has revolutionized its way of recruiting, using the digital world’s potential to overcome the traditional channels. This is not a beta process and open to a few, but to all new junior- level entrants.

In an interview with Business Insider Mike Clementi, VP of Human Resources for North America said that “With its 170,000 employees around the world and with a portfolio of more than 400 brands, Unilever could no longer continue to hire in a traditional way.”

Going to universities, collecting any curriculum, scrapping those unsuitable for open positions is definitely a very costly business resource, both human and temporal, with uncertain efficiency for the company and candidates.

How to improve then? Using the tool that new potential employees have as technology reference in their online life: the smartp

The Unilever brand, starting in July 2016, has revolutionized its way of recruiting, using the digital world’s potential to overcome the traditional channels. This is not a beta process and open to a few, but to all new junior- level entrants.

In an interview with Business Insider Mike Clementi, VP of Human Resources for North America said that “With its 170,000 employees around the world and with a portfolio of more than 400 brands, Unilever could no longer continue to hire in a traditional way.”

Going to universities, collecting any curriculum, scrapping those unsuitable for open positions is definitely a very costly business resource, both human and temporal, with uncertain efficiency for the company and candidates.

How to improve then? Using the tool that new potential employees have as technology reference in their online life: the smartphone!

By overcoming the very concept of Curriculum Vitae, Unilever has focused directly on Personal Branding. All through an initially traditional process, which opens by posting on Facebook and LinkedIn, and then submitting candidates to a dedicated site where to apply simply through their LinkedIn profile.

Once the application is executed, the data is processed by an algorithm that scans only requests in line with the location you are looking for. Unilever states that in 2016, there were only 275,000 in the United States alone.

If the candidates pass the Artificial Intelligence step, then the gambling step started, thanks to Gamification. The applicant’s smartphone is subjected to 12 games in 20 minutes, putting it to the test in neuroscience based activities that highlight skills such as concentration under pressure and short-term memory.

Unilever declares that thanks to Gamification, they are skimmed from 60% to 80% of the candidates. At that point, the last puzzle card: a video interview with pre-recorded messages.

An incredibly rich technology system: through the cam smartphone, various parameters are measured, such as tone of voice, the speed of response, the amount and variety of words and even the facial expressions.

At this point, how do you know … if the app gives ok, eventually the candidate will meet a recruiter of Unilever who will decide whether or not to take the candidate by the end of the day.

Apparently, the process is long and complicated, but it actually brings two sensible benefits:

  • The company gets extremely motivated candidates in line with the required location. Unilever declares that 4 out of 5 candidates, landed at the human selection, are hired by the company. All this with a high probability that they integrate well into the work teams, thanks to the previous profiling.
  • The candidate only uses a one-day interview, and no longer engages in multiple interviews. This means speed and high efficiency even for the candidate (an average of 4 weeks since the beginning of the selection, compared to the previous 4 months. A saving of 50,000 hours!)

After one year from the beginning of the experiment (July 2016 – July 2017), the Corporation declares more than 450 candidates worldwide recruited through the process.

In particular:

  • Applications have doubled in the first 90 days by comparing the same period from year to year: from 15,000 applications to 30,000 in the United States.
  • The growth of candidates from 2,600 different universities, compared to the previous 840.
  • Acceptance of the job offer by the candidate has risen to 82%, from the previous 64%.
  • The completion rate for the 12 games is 98%, with an average score of 4.1 out of 5.

All of this positive data will lead to the extension of the technology recruitment process not only to junior but also to mid-senior managers.

For businesses and multinationals, it is very important to look for all the new systems that technology allows to accommodate a wide and diverse number of candidates, saving time and maximizing their operational efficiency.

In addition, other giants such as Goldman Sachs and Walmart are using Gamification and AI to attract candidates, always with great results.

When Search Becomes the Business Advantage

The data companies need for their processes are becoming more and more complex, heterogeneous, and unstructured: they no longer fit into the predefined data structures provided by many database technologies.

This new data landscape is not about storing data, but rather about finding new and better ways to make the growing data treasures useful for business purposes. Companies need to look beyond the boundaries of static applications and repetitive data queries. In order to use all available data, users need a real-time tool – so that inquiries can arise when new ideas arise and new data sources allow new questions.

Exactly for this challenging search was created. And yet, only a few searches see as a fundamental answer to their business challenges and as a basis for new business solutions.

More and more advantages with search

Databases and data storage will n

The data companies need for their processes are becoming more and more complex, heterogeneous, and unstructured: they no longer fit into the predefined data structures provided by many database technologies.

This new data landscape is not about storing data, but rather about finding new and better ways to make the growing data treasures useful for business purposes. Companies need to look beyond the boundaries of static applications and repetitive data queries. In order to use all available data, users need a real-time tool – so that inquiries can arise when new ideas arise and new data sources allow new questions.

Exactly for this challenging search was created. And yet, only a few searches see as a fundamental answer to their business challenges and as a basis for new business solutions.

More and more advantages with search

Databases and data storage will not be a thing of the past. Transactions are the focus of business and transaction systems are best managed in a relational database environment. In addition, many companies have already invested large sums in ERP, CRM, and other relational business systems and will continue to try to squeeze non-transactional data into tight structures.

Much faster is the source, from which companies gain competitive advantages. The older the relational business applications, the less efficient they deliver. Although these systems are often an integral part of the business, they offer less and less competitive advantages.

This is where dynamic applications come into play that builds on search. They serve companies as valuable new sources of insights with which they can stand out from the competition. Many leading digital transformation companies are already using Search to rebuild their customer services through deeper insights.

Thanks to search-based applications, users can link different records to provide a comprehensive overview of given situations. An underlying logic defines data, but this is no longer restricted or tied to individual applications.

A clear overview of the connections between heterogeneous data from different sources can be obtained without difficulty. And new data from new sources can be added at any time, giving users an increasingly better understanding of the overall picture and giving end users innovative features.

The insights of the search are increasingly used internally in the banking and financial sectors, whether for the operation of data centers, monitoring applications or information about cyber threats; By monitoring card and ATM transactions and fraud detection; In human resources, recruitment and customer analyze.

It is particularly clear that the use of data searches for new business areas, whether for internal insights or the provision of innovative digital services for customers, is quickly becoming one of the most important modern competitive advantages for companies across all industries.

Tech Companies And Car Owners Looking For Solutions For Autonomous Cars

In order to implement the vision of the self-propelled car, Autobauer increasingly cooperates with tech companies. A newly established consortium of telecommunications, technology, and the auto manufacturer wants to drive the development of the necessary network infrastructure.

Take the hands of the steering wheel on the highway, drive through the roundabout with your eyes closed, or take a nap on the driver’s seat at the end of the day – autonomous cars are to make all this possible.

If it happens to some car manufacturers, then rather today than tomorrow. However, to make the dream of the self-propelled car come true, a mature infrastructure is essential for data exchange.

With a view to accelerating its expansion, a number of well-known companies from the telecommunications, engineering and automotive industries have now joined forces to form a new con

In order to implement the vision of the self-propelled car, Autobauer increasingly cooperates with tech companies. A newly established consortium of telecommunications, technology, and the auto manufacturer wants to drive the development of the necessary network infrastructure.

Take the hands of the steering wheel on the highway, drive through the roundabout with your eyes closed, or take a nap on the driver’s seat at the end of the day – autonomous cars are to make all this possible.

If it happens to some car manufacturers, then rather today than tomorrow. However, to make the dream of the self-propelled car come true, a mature infrastructure is essential for data exchange.

With a view to accelerating its expansion, a number of well-known companies from the telecommunications, engineering and automotive industries have now joined forces to form a new consortium.

The term “Automotive Edge Computing Consortium” cooperating companies Ericsson, Toyota, Intel, Nippon Telegraph, NTT Docomo and Japanese auto parts maker Denso to create the conditions for smart driving and real-time maps.

For Intel and Ericsson, it is not the first effort in the field. Both companies have been cooperating for some time with Autobauer BMW: Intel to develop new vehicles together with the miners and Ericsson to test the 5G technology on highways, The new merger will ensure the smooth communication between autonomous cars and the cloud.

According to the consortium, the consortium is committed to decentralized data processing. The network capacity is to be significantly increased by so-called edge computing.

Companies expect data traffic to increase by tens of thousands of today’s levels by 2025 between cloud and vehicle. This requires a new infrastructure for data centers and networks.

The focus of the consortium is also the use of mobile devices in the vehicle. To this end, application examples are to be developed, and corresponding companies are to be brought in for their implementation. The formation of the new initiative again illustrates how the development of autonomous cars is increasingly unifying industries that have hardly touched each other before.

In addition to Intel, the chip maker Nvidia, which is mainly known for its graphics cards, has been actively involved in the realization of intelligent cars since the beginning of the year. The company cooperates with Audi, VW, Daimler, Bosch, and ZF to provide processors for artificial intelligence.

The efforts of the “Automotive Edge Computing Consortium” are to show first results in the coming months. The consortium has not yet submitted a precise timetable for the planned network expansion.

Artificial Skin Grafts May Prevent Diabetes in Humans

Genetic engineering has been able to produce unusual solutions to serious physiological problems, but a lot is still in the testing phase. The novelty now, which has been developed by researchers at the University of Chicago, may be the solution to the problems of diabetes in a relatively straightforward way: using artificial skin grafts with the altered DNA structure.

To prove if this is indeed possible, the scientists performed tests on laboratory mice. First, the animals had their stem cells altered as infants so that it was feasible to control the levels of insulin produced by their pancreas. Then they were subjected to different diets, from greasier to healthier.

Less appetite, more health

In the cases of rats that ate more damagingly (considering that obesity

Genetic engineering has been able to produce unusual solutions to serious physiological problems, but a lot is still in the testing phase. The novelty now, which has been developed by researchers at the University of Chicago, may be the solution to the problems of diabetes in a relatively straightforward way: using artificial skin grafts with the altered DNA structure.

To prove if this is indeed possible, the scientists performed tests on laboratory mice. First, the animals had their stem cells altered as infants so that it was feasible to control the levels of insulin produced by their pancreas. Then they were subjected to different diets, from greasier to healthier.

Less appetite, more health

In the cases of rats that ate more damagingly (considering that obesity is one of the major causes of type 2 diabetes), modified skin grafts prevented them from developing the disease.

The method uses a gene that encodes the hormone called glucagon-like peptide 1, or GLP-1. It is responsible for decreased appetite and for regulating the level of blood sugars.

Still far from being a definitive solution to diabetes, the method shows that the use of genetically modified skin grafts can help to develop cures for health problems in a more lasting way and with fewer side effects.