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Artificial Intelligence

How Artificial Intelligence is changing jobs

Dive into the world of Artificial Intelligence and its profound effects on the future of work

If we look at jobs today, we will see a team of three generations, each of which takes technology in different ways and the degree of immersion in their capabilities.

So, Generation X builds workflows with email, phone calls, and face-to-face meetings. Social media messengers use millennials for communication. And the digital generation prefers a comfortable mix of technologies, personal gadgets and applications at its discretion. But the goal for all is the same – to save time on a routine in order to pay attention to tasks that require a creative approach or emotional involvement.

Modern technologies are ready to provide each generation with solutions for productive work, and, first of all, collective, as an employee spends 80% of his time working with someone in organizations, companies, and projects. This trend will be relevant in 2020. Another trend that we will observe this year is remote work. Therefore, IT companies and program developers around the world are working hard to create solutions that meet the requirements of a modern workplace, and most of these solutions involve artificial intelligence.

Artificial Intelligence is a pleasant routine

Thinking about artificial intelligence ( AI), most of us probably represent robots and science fiction stories. But you already use AI every day – perhaps without even realizing it.

So, personal assistants in smartphones clean up the schedule, control costs, remind of the meeting. Special programs track preferences and display ads that are relevant to our needs on social networks or on Internet resources. Chatbots answer questions quickly, accurately, 24/7. And all this is AI in action.

Artificial Intelligence in the workplace

Probably, no modern communication at the workplace can do without e-mail, video communications, presentations, chat bots and help desk. AI expanded their functionality, making it significantly more comfortable and productive.

Digital letters

Email has been around for a long time, and almost everyone has at least one email address. However, it still continues to evolve, adapting to the needs of the workplace. For example, today you can connect Microsoft Outlook to your LinkedIn profile and send a letter directly to the subscriber simply by entering his name in the “ To” line, and it is not necessary to know the e-mail address.

Email uses artificial intelligence to filter out 99% of spam, so he did not get into the folder ” Inbox” or to create a ” smart answers” who try to imitate your personal writing style.

And with the help of AI, you can correct grammatical errors in the body of the letter and book conference rooms of the company, which are ideal for visitors to meetings, because AI in Outlook has already analyzed colleagues’ schedules, free time, room availability and other parameters.

Video calling

Video conferencing or video chat is an important part of the workflow, especially when remote work and freelance are becoming more popular. The opportunity to see someone’s face, even if the person is thousands of kilometers away, offers a deeper level of communication.

But if you call from home or any other place, and the background does not match the level of the meeting, artificial intelligence will come to the rescue. Blur background and face recognition . This will help hide the likely mess behind you, focusing only on you.

Artificial intelligence will also help to find a common language with people. So, programs help people understand each other in real time, while communicating with other people in all corners of the world. What is needed for an international project in which several countries are involved. So AI unites people and overcomes language barriers.

Presentations

Almost everyone uses presentations in their work. To make them attractive, companies rarely turn to designers, since not every budget can withstand their fees.

Imagine the situation: you made a presentation with perfect miniatures and are ready to present them, say, to your foreign colleagues. At the last minute, you find out that not all of them speak English. Do not worry, AI will help. While you are speaking in the conference room, PowerPoint will listen to what you are saying, write in English on the screen and translate it into the language of your choice in real time. Moreover, the AI trainer function will help prepare for an important speech by sharing directions on the pace or content of the speech in the report.

Chatbots on the robot

Chat bot is well integrated into work processes. So, HR specialists actively use the chatbot to adapt staff to the new workplace, which significantly reduces the time for new employees to master job descriptions, introduces information about the company, products and services.

The recruiting bot instantly answers questions of employees and candidates day and night. This is beneficial to both parties. Employees do not wait long for answers, and the HR department can devote more time to improving the work of the company.

Also, artificial intelligence in the HR sector sorts resumes according to the needs of the employer, conducts video interviews, tests staff, improves communication in a team, and the like.

Artificial Intelligence in Help desk

The help desk serves as a “ single window” for users to communicate with specialists of the IT department, whose primary task is to service and provide the company’s personnel with high-quality technical support. Artificial intelligence will sort requests by priority, quickly fix problems in the system, or through a chat bot to answer questions.

AI continues to automate processes and create new opportunities for people and teams in the workplace. So get ready for new experiences.

Artificial Intelligence

How artificial intelligence detects unreal and misinformation

Jigsaw, a subsidiary of Alphabet (the parent company of Google), has announced two services through which media, especially those on the Web, will be able to combat false content and misinformation.

Information about Jigsaw’s new developments, an AI-based service that detects editing traces on all types of photographs, and an interactive platform that combines information about coordinated disinformation campaigns, The New York Times reported citing The Current, a research publication by Jigsaw.

All to fight with fakes!

The fake photo detection service is called Assembler. As its developers stated in the media, it is not always easy, and sometimes impossible, to distinguish real photos from fake ones taken masterfully. But, since the amount of false content on the Web is growing exponentially, the need for such a service has never been so urgent. The tool developed by Jigsaw makes it possible to verify the authenticity of images and detect all traces of editing on any type of photo. Including those that were created using artificial intelligence.

Assembler consists of seven different image detectors, each configured to detect a specific type of photo manipulation technique.

Five of these seven detectors were developed by research teams from a number of universities in the world, including the University of California at Berkeley (USA), the University of Naples Federico II (Italy) and the University of Maryland (USA).

After the image has been processed – for example, two images were combined into one or something was removed from the background of the image, traces of these changes may remain. Special software based on artificial intelligence analyzes the image, compares it with previously analyzed samples and examples, and allows you to detect places with traces of modifications on the image. Detectors, for example, can find changes such as anomalies in the color pattern, areas of the image that have been copied and pasted several times, the use of several camera models to create an image, and so on.

“These detectors cannot completely solve the problem, but they are an important tool to combat misinformation,” said Luisa Verdoliva, a professor at the University of Naples and a visiting scholar at Google AI.

Two other detectors are designed by Jigsaw engineers. They are designed to identify “deep fakes” – realistic images that have undergone serious manipulations using artificial intelligence, which can mislead the most sophisticated representatives of the target audience of any media.

“Assembler is most useful in situations where a journalist from a major news outlet who has received some scandalous image begins to come under pressure – he is literally forced to publish scandalous news based on it,” said Santiago Andrigo, product manager at Jigsaw. – The service can also be used to check images that have become “viral”.

“We watched disinformation increasingly be used to manipulate elections, wage war and destroy civil society,” wrote Jared Cohen, executive director of Jigsaw, on the Assemble blog. “But, as disinformation tactics evolved, so did the technology used to detect it.”

According to Jigsaw experts, Assembler is being tested in over 10 news and factual organizations around the world. Among them – Animal Politico (Mexico), Rappler (Philippines) and Agence France-Presse (France). For media access to the service is provided free of charge. However, opening access to private individuals is not intended.

Disinformation Detection Platform

Another tool announced by The New York Times is an interactive platform that brings together information about coordinated disinformation campaigns conducted around the world over the past 10 years. The platform’s database contains the players participating in influence operations, the general tactics used in them, as well as the methods and methods of disseminating misinformation on social networking platforms.

As part of this project, Jigsaw experts collaborated with the Atlantic Council’s Digital Forensic Research Laboratory (Washington, USA), which studies the links between social networks, cybersecurity and government. B olee than 700 studies, articles and reports published by this laboratory over the past five years, Jigsaw selected for their interactive platform 60 cases of misinformation.

As Emerson Brooking, a laboratory employee, commented, the goal of this project is not to make an encyclopedic list of disinformation campaigns, but to create a basis, a kind of “common language” for describing them, to develop principles and practice of classification that would help the media and disinformation groups.

Whether the Russian media will be able to access these services is still unknown. As well as the extent to which the project of the interactive platform Jigsaw can be engaged by the Atlantic Council, a non-governmental organization known for its hostility towards Russia and repeatedly advised the US government to create a coalition to counteract “Russian propaganda media”. For this, it was included in the list of foreign organizations whose activities on the territory of the Russian Federation were recognized as undesirable. By the way, pOn media reports citing the draft US budget published earlier this month, a budget of $ 24 million is planned for the Global Engagement Center, which was created specifically to counter Russian propaganda.

Artificial Intelligence

Will artificial intelligence be responsible for saving whales?

In the case of killer whales, which are so difficult to track that the International Union for the Conservation of Nature considers that they do not have sufficient data to determine their conservation status, efforts are focused for the moment on the population of the sea of Salish, where it has been possible to record a decline of hundreds of copies to only 73 today.

Knowing the real-time location of whales in the sea , which could be key to protecting them from the traffic of ships and oil spills, has ceased to be a distant desire of conservation groups to become a reality thanks to the use of techniques of artificial intelligence.

Knowing where a group of cetaceans is at all times allows orders to be given to fishing vessels to avoid that area – thus preventing collisions and accidental catches -, center cleaning tasks after a black tide in the areas of most need or create protected areas in the spaces where they spend more time.

But, if it is already difficult to track animals on land, how is it possible to do so in the immensity of the oceans, with species that travel thousands of kilometers and that are extremely difficult even to censor?

The answer can be found in artificial intelligence.

A collaborative project between the NGO Rainforest Connection (which already uses artificial intelligence to fight deforestation in the Amazon), the Department of Fisheries and Oceans of Canada and Google has proposed to “monitor” the threatened population of killer whales in the Salish Sea, which bathes the shores of metropolis like Seattle and Vancouver.

“The logic is the same that we apply in the case of the Amazon. We use acoustic signals to locate the whales and transfer that information to the relevant authorities so that they can act accordingly,” explained the founder of Rainforest Connection, Topher White.

The acoustic signals are recorded at the bottom of the ocean by devices called hydrophones that are held by cables and have network infrastructure to send audios in real time to a server, from which they are transmitted to an artificial intelligence system.

Among the infinite hours and hours of audio, the artificial intelligence model is designed to detect whale songs, which, given the speed and long distance at which sound travels underwater, can be captured up to 50 kilometers away.

“Our job in this project is to teach artificial intelligence systems to detect, among all the variety of sounds captured in the ocean, specific species such as humpback whales or killer whales,” said Google AI product manager Julie Cattiau.

In the case of killer whales, which are so difficult to track that the International Union for the Conservation of Nature considers that they do not have enough data to determine their conservation status, efforts are focused for the moment on the population of the sea of Salish, where it has been possible to record a decline of hundreds of copies to only 73 today.

Responsible for capturing the sounds through a dozen hydrophones distributed in relatively shallow water areas is the Department of Fisheries and Oceans of Canada, which, just to teach artificial intelligence models, already provided programmers with 1,800 hours of audio submarine and 68,000 “tags” that identified the different sounds.

“It is clear that we will not be able to cover the entire ocean with these devices, but you can choose specific places that are important. For example, navigation routes are generally very well defined, and are of course a good place to go. the one to start, “said Matt Harvey, software engineer at Google AI.

With regard to humpback whales, the other species for which artificial intelligence models have been taught for the time being, monitoring is concentrated in the Hawaiian archipelago, and these represent an additional challenge, since the sounds that they emit are complex songs, with a great variety of vocalizations that even change over time.

Thus, perhaps unexpectedly for the general public, artificial intelligence has emerged as a useful tool to respond in the 21st century to which for decades it has been one of the most publicized challenges of the conservation movement: save the whales.

Artificial Intelligence

Artificial Intelligence First Invented a drug to cure humans

Artificial intelligence was first utilized in the improvement of medications. Along these lines, a wise machine developed an atom that is being set up for clinical preliminaries in people. The new medication was made during the coordinated effort of the British startup Exscientia and the Japanese pharmaceutical organization Sumitomo Dainippon Pharma. As per the BBC , the new prescription is proposed for patients who experience the ill effects of over the top enthusiastic issue. It as a rule takes five years of improvement before new equations permit testing. In any case, the medication, created by Artificial intelligence , was sufficient for a year.

Exscientia Executive Director Professor Andrew Hopkins called it “a key achievement in created prescription.” “Artificial intelligence has just analyzed patients, dissected their information and output results. Be that as it may, this is the primary utilization of Artificial intelligence in the production of new meds, “he clarified. The new particle is called DSP-1181. It was prevailing to make because of the way that the calculation prepared every potential association, checking them for consistence with a tremendous database of parameters. “It takes billions of choices to locate the correct atoms.” And exact medication improvement is a difficult task, “said Hopkins.

“Be that as it may, the benefit of calculations is that they are freethinker. In this manner, they can be applied to any sickness, “he included. The primary test period of the new medication will be held in Japan. On the off chance that fruitful, the subsequent stage will be worldwide tests. The organization is as of now chipping away at potential prescriptions to treat malignant growth and cardiovascular infection. The designers trust that they will be prepared for clinical preliminaries of the particles before the year’s over.

Artificial Intelligence

Artificial Intelligence and process automation in 2020 – Predictions

The development of artificial intelligence (AI) and robotic process automation (RPA) increased rapidly in 2019. This speed will increase further this year.

Envisaged with the potential of streamlining technologies’ workflows and improving customer service, organizations will deploy an increasing number of AI and RPAs. At the same time, the capabilities of these technologies will continue to grow rapidly, and they will increasingly work in areas requiring human intervention.

During 2020, five key trends will shape the AI ​​and RPA area:

Rise of the RPA robot

Existing projects involving the deployment of RPA robots tend to focus on copying existing tasks traditionally completed by humans.

The robots learned a repetitive task and completed it more quickly. While their AI capabilities allowed them to read and understand certain documents, the robots were only able to do this in a very strict, rules-based way.

RPA robots will increase capabilities in 2020

RPA will be more adept at making decisions based on the documents they scan and data from other sources. Using rapidly developing machine learning and artificial intelligence algorithms, robots will be able to work independently and add value to the organization in which they are deployed. It can also be used in more complex processes, including less repetitive and more open to interpretation.

For example, the RPA robot can evaluate each e-mail and determine how to respond or where it should be forwarded within the organization.

Analytics projects will continue to fail

Many applications and IT tools offer far more features and functionality than are used in an organization. This wasted capacity is called the “consumption gap..

Experience has shown that 75 to 90 percent of analysis projects have failed, often because the power of deployed technologies is far greater than the ability of users to benefit from them.

To overcome this, businesses need to invest in labor data literacy. Throughout 2020, they will have to think much more when designing and deploying new systems and make sure that the people who use them meet their needs and capabilities.

Routine studies will continue to disappear

The number of RPA robots and artificial intelligence chatbots will continue to grow within organizations throughout 2020. As a result, more than 50 percent of those currently considered routine and repeated work will disappear.

The continuous development of the artificial intelligence that powers these bots will increase their capabilities and make it easier for users to provide a satisfying experience. 

Increasing importance of data governance

More organizations will be aware of the importance of their data and the impact that can be felt if it is lost or mismanaged. Therefore, the responsibility of data management will be taken from the analytical team and handed over to senior managers.

Since more data is used by artificial intelligence tools and RPA robots, the management of master and metadata will become even greater concerns. Failure to protect this data at all times will have significant implications for an organization as a whole.

Data will become an additional revenue stream

By 2020, more organizations will understand the value of their data. Exactly how data can be presented effectively and the mechanisms to make money from this process will be an area that needs further consideration. 

An example is a retailer who has detailed knowledge of customer buying habits. In turn, this data can be used to plan and to advance future product ranges.

Amidst these trends, the adoption of AI and RPA robots will increase rapidly throughout 2020. As organizations understand the benefits that can be achieved, sound business situations for investment will be created.