Category Archives: Artificial Intelligence

TomTom has partnered with AI insurance startup Loop to offer coverage that weighs driving habits over demographics.

Image: iStock/Getty Images Plus

TomTom unveiled a multiyear partnership Wednesday with Loop, an Austin, Texas-based insurance tech startup, to provide better, more transparent auto insurance prices, the companies said.

According to the announcement, Loop will provide machine learning data and TomTom, the Netherlands-based mapmaker and location technology specialty firm, will supply Loop with such things as speed profiles, traffic stats and maps services, all in the effort to optimize Loop's AI capabilities for improving driver safety to help lower insurance rates.

Keeping automobile coverage, and how the rate is calculated, can be frustrating and all too often unfair for consumers. When potential customers inquire about a rate quote for coverage, the most popular legacy insurance companies typically use information such as an individual's annual income, credit score, educational level and even marital status. And as a result, according to Loop, such metrics hinder low-income drivers with outsized rates and subpar coverage.

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Loop, which bills itself as a community-first brand, is hoping to change such circumstances by removing the bias it says is embedded in such standards via a data-driven insurance approach. In particular, it wants to employ AI and telematics a system where data transmission from the vehicle to a company will keep costs down. How well and where you drive will be key not a rate that isn't inflated because the driver doesn't have a master's degree or an impeccable FICO score.

Moreover, TomTom said in a press release that it wants to give Loop AI assistance for analyzing road and driver data, which in turn will help the startup to better understand driver behavior and also encourage those insured with taking safer routes. The payoff would be lowering insurance risk and costs for drivers.

This data-driven approach for providing consumers a more even playing field is, of course, making its way into an array of business models. For example, according to Vidya Phalke, the chief innovation officer at the risk resilient firm MetricStream, "artificial intelligence is helping companies in financial services when it comes to GRC (governance, risk and compliance) - especially for empowering their front line employees - who are often the first target of cyberattacks."

"AI allows companies to break down barriers and silos," he adds, "by creating a comprehensive view across departments and introducing cognitive search functions so that financial institutions can locate data, and sort and analyze any risk as it develops. When searches are faster, front-line and second-line users can reduce redundancy, and move toward tighter security and smoother compliance."

Some experts caution that AI alone cannot remove intrinsic bias. According to AI expert Roman Yampolskiy, a professor of computer science and engineering at the University of Louisville, creating machine learning systems that are 100% impartial is unfeasible. "Researchers usually try to de-bias their AI," he said, "but there are proven mathematical results showing that some bias is impossible to remove."

Still, there is an argument to be made that the use of AI can nonetheless provide financial inclusion for more underserved individuals. For example, Moutusi Sau, Gartner research VP, argues that within the banking services industry, "increasing adoption of AI models in lending would help increase financial inclusion into underbanked populations." In particular, he maintains in his research that more fairness can come about in the lending process by using AI to help explain the terms of agreements and help banks evaluate a wider population.

"From a data and model perspective, explainability helps financial institutions identify any systemic bias in model output and retrain as necessary," he says. While adding: "Although it is not a perfect solution, explainability is a prerequisite to increase diversity and inclusion. To gain the desired outcome, responsibility should be intrinsically included in the algorithm design."

And back to the automobile insurance front, Ali Salhi, the chief technology officer at Loop, says that AI-driven data can only benefit drivers if they are committed to safe driving.

For Salhi, using TomTom's map technology and extensive location data will allow his company to "underwrite and rate risk with pinpoint precision that's never before been seen in private-passenger auto insurance." As Loop sees it, via algorithms, there is a path to spiking a movement that rattles an industry that brings in $254 billion annually.

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Car insurance and more could get cheaper (and, a lot fairer) thanks to artificial intelligence - TechRepublic

Tribe Payments, a payment technology company, today reveals that 67% of FinTechs believe AI is the technology that will have the most significant impact on the sector over the next five years. The finding, part of the new Fintech Five by Five report, examines which five emerging technologies have the most significant impact today, tomorrow and in the long term future, and precisely what changes we can expect to see as a result.

The report is based on a survey of 80 FinTech executives and features contributions from leading technology providers, including Canonical, FintechOS, Microsoft, R3 and TrueLayer.

Five emerging technologies:

Alex Reddish, Chief Commercial Officer at Tribe Payments, said: Fintech may be seen by some as a revolution made possible by technology, but its just as much a shift of attitudean ongoing change where openness to and understanding of new technology is vital. This report not only offers insight into the technologies from those closest to them, it suggests next steps for fintechs who dont want to be left behind.

Recently, IBS Intelligence reported that Tribe Payments, a payment technology provider, announced its partnership with ClearBank. Tribes FinTech customers have access to payment schemes using ClearBanks agency banking and banking-as-service product sets.

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Tribe Payments reports Artificial Intelligence to be significant in 5 years - IBS Intelligence

Artificial Intelligence (AI) holds great promise for improving the delivery of healthcare and medicine worldwide, but only if ethics and human rights are put at the heart of its design, deployment, and use, according to new WHO guidance published today.

The report, Ethics and governance of artificial intelligence for health, is the result of 2 years of consultations held by a panel of international experts appointed by WHO.

Like all new technology, artificial intelligence holds enormous potential for improving the health of millions of people around the world, but like all technology it can also be misused and cause harm, said Dr Tedros Adhanom Ghebreyesus, WHO Director-General. This important new report provides a valuable guide for countries on how to maximize the benefits of AI, while minimizing its risks and avoiding its pitfalls.

Artificial intelligence can be, and in some wealthy countries is already being used to improve the speed and accuracy of diagnosis and screening for diseases; to assist with clinical care; strengthen health research and drug development, and support diverse public health interventions, such as disease surveillance, outbreak response, and health systems management.

AI could also empower patients to take greater control of their own health care and better understand their evolving needs. It could also enable resource-poor countries and rural communities, where patients often have restricted access to health-care workers or medical professionals, to bridge gaps in access to health services.

However, WHOs new report cautions against overestimating the benefits of AI for health, especially when this occurs at the expense of core investments and strategies required to achieve universal health coverage.

It also points out that opportunities are linked to challenges and risks, including unethical collection and use of health data; biases encoded in algorithms, and risks of AI to patient safety, cybersecurity, and the environment.

For example, while private and public sector investment in the development and deployment of AI is critical, the unregulated use of AI could subordinate the rights and interests of patients and communities to the powerful commercial interests of technology companies or the interests of governments in surveillance and social control.

The report also emphasizes that systems trained primarily on data collected from individuals in high-income countries may not perform well for individuals in low- and middle-income settings.

AI systems should therefore be carefully designed to reflect the diversity of socio-economic and health-care settings. They should be accompanied by training in digital skills, community engagement and awareness-raising, especially for millions of healthcare workers who will require digital literacy or retraining if their roles and functions are automated, and who must contend with machines that could challenge the decision-making and autonomy of providers and patients.

Ultimately, guided by existing laws and human rights obligations, and new laws and policies that enshrine ethical principles, governments, providers, and designers must work together to address ethics and human rights concerns at every stage of an AI technologys design, development, and deployment.

To limit the risks and maximize the opportunities intrinsic to the use of AI for health, WHO provides the following principles as the basis for AI regulation and governance:

Protecting human autonomy: In the context of health care, this means that humans should remain in control of health-care systems and medical decisions; privacy and confidentiality should be protected, and patients must give valid informed consent through appropriate legal frameworks for data protection.

Promoting human well-being and safety and the public interest. The designers of AI technologies should satisfy regulatory requirements for safety, accuracy and efficacy for well-defined use cases or indications. Measures of quality control in practice and quality improvement in the use of AI must be available.

Ensuring transparency, explainability and intelligibility. Transparency requires that sufficient information be published or documented before the design or deployment of an AI technology. Such information must be easily accessible and facilitate meaningful public consultation and debate on how the technology is designed and how it should or should not be used.

Fostering responsibility and accountability. Although AI technologies perform specific tasks, it is the responsibility of stakeholders to ensure that they are used under appropriate conditions and by appropriately trained people. Effective mechanisms should be available for questioning and for redress for individuals and groups that are adversely affected by decisions based on algorithms.

Ensuring inclusiveness and equity. Inclusiveness requires that AI for health be designed to encourage the widest possible equitable use and access, irrespective of age, sex, gender, income, race, ethnicity, sexual orientation, ability or other characteristics protected under human rights codes.

Promoting AI that is responsive and sustainable. Designers, developers and users should continuously and transparently assess AI applications during actual use to determine whether AI responds adequately and appropriately to expectations and requirements. AI systems should also be designed to minimize their environmental consequences and increase energy efficiency. Governments and companies should address anticipated disruptions in the workplace, including training for health-care workers to adapt to the use of AI systems, and potential job losses due to use of automated systems.

These principles will guide future WHO work to support efforts to ensure that the full potential of AI for healthcare and public health will be used for the benefits of all.

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WHO issues first global report on Artificial Intelligence (AI) in health and six guiding principles for its design and use - World Health Organization

June28, 20216 min read

Opinions expressed by Entrepreneur contributors are their own.

The continuous progress of technology has led to different government organizations having to modify their structures, as well as the way in which they execute their processes.

Nowadays, applying tools such as Artificial Intelligence (AI ) in government is essential, since AI makes all operations more efficient , allows citizens to listen better, have greater sensitivity about what they are asking for, what they need, and know the general feeling you have.

In other words, it can be said that Artificial Intelligence is an extraordinary content source for the public sector and, above all, it is a great value .

Many developed and developing countries are already implementing AI in different activities within the Public Administration. An example of this is what the Government of Finland is doing, which is conducting tests with what is considered, so far, the most ambitious public assistant based on Artificial Intelligence in the world: AuroraAI .

The objective of this program is to offer citizens personalized services, and filter them according to the specific needs of each person at different times in their lives. Likewise, work is being done to integrate public and business services into a single platform. For example, if AuroraAI detects that a citizen wants to change jobs, it would offer them jobs that match their profile, both in the public and private sectors.

According to Christian Pealoza , doctor in Cognitive Neuroscience, there are three categories into which the main current benefits of Artificial Intelligence in government can be grouped. These are:

Even so, if we have to analyze the exploitation of Artificial Intelligence by government sectors in Latin America, we must emphasize that for many of them the use of AI is still at a very early stage, so they have a long way to go. go through and many technological challenges to face.

The governments already have a part of the road traveled, they are not completely at zero. Most, for example, already have a demographic database. However, there is still much to refine to make certain public policy decisions, says John Salazar , commercial director of Forest Rim Technology for Latin America.

AI in LatAm governments has a long way to go and many technological challenges to face / Image: Depositphotos.com

It should be noted that the application of Artificial Intelligence revolves around techniques such as machine learning and deep learning, artificial vision, voice recognition and robotics . When these are implemented, they become real and tangible benefits for the government . The best? This technology makes results are obtained faster, thus also saving time and avoiding tedious tasks.

At this point, it is essential to emphasize that for AI to work in any organization, it is essential to have the right data , as well as to ensure its accuracy and to label it appropriately for learning.

That is why, first of all, Governments must have the ability to control the data cycle, which consists of collecting data, generating data, storing it, sharing it and, finally, knowing how to use it.

The most important thing is that governments take this data and, with that information, begin to generate policies and public development plans. Because we realize that many governments, especially those in Latin America, do not use data to make decisions and, therefore, do not generate trust or value in citizens , emphasizes Salazar.

Specifically, the Government of Mexico needs to realize how to use and exploit this data, something that is already happening in the United States in a greater way. As an example, the United States Citizenship and Immigration Services (USCIS) uses a virtual assistant, generated by a computer called Emma , to answer questions and direct people to the correct area of the website.

In short, we can see that currently there are many governments that need to exploit the documentation they have. They need to take advantage of all that data to make better decisions and achieve better results.

What's more, data should be the mainstay of current public policies since, as mentioned above, they generate enormous value .

For all this, it is key to continue working so that, day by day, governments are integrating and adopting this technology, so that they develop this culture of working with data, structuring it and managing it, in order to do something that is efficient and productive for the citizenship.

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What are the benefits of Artificial Intelligence in Government? - Entrepreneur

Its been a minute since Haley Joel Osment has seen A.I. Artificial Intelligence.

The sci-fi drama from Steven Spielberg opened June 29, 2001 when he was barely a teenager, but the actor, now 33, quickly recalls the mental challenge of playing the lead role of an android programmed with the ability to show unconditional love.

David was an unusual and unique character to take on, Osment tells The Hollywood Reporterover the phone, because it involved having to make decisions for an artificial person. Yet the central aspect of Davids identity was something Osment could relate to, even filming it as an 11-year-old schoolboy in sixth grade: that idea of love.

After the human family he is living with have their real son cured of a disease and returned to them, David becomes jealous and menacing, which jeopardizes the potential of his mother, played by Frances OConnor, to be affectionate toward him. Dealing with the threat of destruction, David longs to be a real boy so that she might really love him.

Thats his singular focus for thousands of years, Osment says. That love for his mother, and being able to look past all the crazy things that happened to him and all the things that Jude [Law, who plays another humanoid robot] and I go through in the movie. Any other character might have been pulled in different directions, hes just singularly focused on reestablishing the connection with his mother. Thats his whole purpose as a person.

Osment recalls first meeting Spielberg at Amblin in the Fall of 1999 when the director was still deciding whether to do Harry Potter or A.I. Osment says that, at the time, he was already a fan of Spielberg, and got a kick out of the Jurassic Park memorabilia in his office. A lot of his movies were really important to me at that age they were sort of rights of passage as I began to work more, says Osment, naming Close Encounters of the Third Kind, Jaws and Raiders of the Lost Ark among his favorites.

Osment, whose mother is a school teacher and encouraged him and his sister [The Kominsky Method actor Emily Osment] to read at an early age, devoured the script for A.I., which was written by Spielberg the first screenplay Steven had done solo since A Close Encounter Osment recalls and turned pages like a great book. Later, the filmmaking process involved him having weighty discussions with Spielberg not just about Davids capacity for love, but the idea of a human beings respect for artificial intelligence itself. I think he probably said in the first meeting we had: one of the big questions were trying to deal with is what our responsibility is to these entities that we create, recalls Osment. It was heavy stuff, but it was all a great learning experience.

Of course, the conversations also frequently involved Stanley Kubrick, who was a close friend of Spielbergs and originally intended to make A.I., but died of a heart attack in 1999. Beginning to talk about the genesis of that project and all their planning over the years was very exciting and remains, to this day, a very exciting thing, says Osment, who at that age had seen a lot fewer of Kubricks movies, though was familiar with 2001: A Space Odyssey and Dr. Strangelove.

In 2013, Osment was able to visit an exhibition at LACMA in Los Angeles with original drawings Kubrick had done in the 1980s with certain artists, and witnessed the history of the whole project.

As he recalls, filming A.I. was quite a big deal. We had a significant amount of underwater stuff to do, really deep underwater, weighted down, learning to breathe on the respirator Osment says, summoning a highlight of the whole experience: getting certified for scuba diving. He remembers having to perform certain stunts where he would jump in the water with a bunch of lead weights and then sinking like a robot would, and then trusting that a scuba diver would swoop in with the respirator after a take was completed. That was all a big adventure, Osment says, adding that some underwater scenes were shot in one of the same tanks at Paramount that had been used for some shots in Jaws.

And then there was the entire 3-4 story house that the A.I. crew built in the pit at Stage 16 at Warner Bros., recalls Osment. Working on a Spielberg movie, everything is just epic in scale.

Among the connections that Osment made on the set, which he remembers being very comfortable even though a lot was at stake, the actor recalls how makeup artist Joel Harlow would spray him with latex every morning to make his skin look robotic. He and I spent a lot of time putting on and taking off that makeup every day, says Osment, adding the pleasure of working with SFX makeup artist Stan Winston.

In addition to his film and TV performances, which include Extremely Wicked, Shockingly Evil and Vile, The Kominsky Method and Silicon Valley, Osment has done numerous voiceover roles over the last 20 years. Among them is the Kingdom Hearts video game franchise, the longest job I have ever done says the actor, who first started the project in 2001 and recorded material for it last year. Its great work to do, he says, of voiceover performances, adding that he was able to continue working during the depths of the pandemic via a recording booth he set up in his house that was pretty soundproof and not quite a professional job though it got the job done.

Osment says that while he does play video games in downtime and enjoys them, games are so good these days that I cant get too involved with it, its just so addictive to play all the time. He references the advancement of not only the technology of games, but the stories within them. Its definitely something I appreciate.

He says that acting is one of the most fun jobs in the world and while has taken many times in his life to reflect on whether there was anything else he wanted to focus on, particularly when he was in college, there has never been a doubt in his mind that this career is one of longevity for him. I love acting because, as with many arts, you always can learn something new theres never a point where you completely master it and you stop learning. You can be 90 years old and theres still new information to uncover and new things to learn about yourself and how you work. Thats why I think Ill always do it, because its always interesting and always gives you opportunities to grow.

In the future, Osment says hed like to work with director Paul Thomas Anderson and also do a movie in the action or action-adventure genre, of which A.I.s fast-paced sequences gave him a taste.

He concludes of the experience on A.I.: Being around someone like Steven and working with the legacy of someone like Kubrick, it definitely was a really powerful and formative experience for me and its had a big effect on how I see the world.

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A.I. Artificial Intelligence Turns 20: Haley Joel Osment Reflects On Epic Scale of Spielberg Movie and Legacy of Kubrick - Hollywood Reporter

The integration of artificial intelligence technology is about trust, and a responsible AI ecosystem is the foundation for that trust, Deputy Defense Secretary Kathleen H. Hicks said today.

Speaking virtually to the opening of the Defense Department's Artificial Intelligence Symposium and Tech Exchange, Hicks said DOD's operators must come to trust the outputs of AI systems; its commanders must come to trust the legal, ethical and moral foundations of explainable AI; and the American people must come to trust the values DOD has integrated into each of its applications.

"A key part of an AI-ready department is a strong data foundation," Hicks said. "Data enables the creation of algorithmic models, and, with the right data, we are able to take concepts and ideas and turn them into reality."

The deputy secretary said she recently set forth a series of data decrees for DOD that will help the U.S. achieve the AI superiority it needs.

"We will ensure that DOD data is visible, accessible, understandable, linked, trustworthy, interoperable and secure. To do so, I have directed key initial steps to ensure the department treats data as a strategic asset," she said, adding these steps set DOD on a solid foundation both ethically and organizationally.

"Today, I am proud to announce the DOD AI and Data Acceleration initiative, or ADA initiative. Its goal is to rapidly advance data and AI dependent concepts, like joint all-domain command and control, to the ADA initiative [to] generate foundational capabilities through a series of implementation experiments or exercises, each one purposefully building understanding through successive and incremental learning."

Hicks said each exercise pushes the boundaries of the one before, building on the knowledge gained. She said this represents a software engineering approach that will iteratively gain and expand capabilities to different lines of effort:

"Importantly, these events will be conducted in alignment with the busy combatant command experimentation and exercise cycle," Hicks said. "Through successive experiments, we seek to understand the obstacles and challenges that impair our current ability to rapidly scale AI across the department and the Joint Force."

As DOD completes these episodic exercises and experiments, it intends to leave behind capability, Hicks said. "True to our software engineering mindset, we aim to interactively gain capability and rapidly scale to other combatant command environments with similar challenges. This will ultimately produce data and operational platforms designed for real-time sensor data fusion, automated command-and-control tasking and autonomous system integration. It will allow data to flow across both geographic and functional commands."

Hicks said DOD's fourth line of effort will set the stage for advanced data management platforms consistent with the data decrees. These platforms will enable open data standard architecture and the production of scalable, testable and repeatable data workflows. This will facilitate cross-domain and cross-component experimentation and development. By generating centralized and scalable data, DOD will be accelerating the gains from leveraging AI, she explained.

The ADA initiative recognizes the challenges that DOD is facing and provides a systematized method to harness data and AI. It also creates a path forward for a mission space that has often appeared to be more rhetoric than action, Hicks said.

"You represent the department and its many partners who are rising to the competitive challenge of our future. [Secretary of Defense Lloyd J. Austin III] and I need your help to harness our innovation, build trust, modernize our processes, and serve our great nation," Hicks said, thanking the group for its efforts."

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Hicks Announces New Artificial Intelligence Initiative > US DEPARTMENT OF DEFENSE > Defense Department News - Department of Defense

Artificial intelligencehas put the future of technology on a high pedestal. In the digital world,artificial intelligenceis already capable of doing several things that humans can do. The technology can helprobotsdraw your picture amazingly, write a poem for you, click pictures, do house chores, etc. In a nutshell,artificial intelligence is turning to be humans in the 21st century. However, all is not working out in its favor. If we look closely atAI technology, we can see there are some things thatartificial intelligence cant do.

Humans started working on technology with the thought to make something as capable as him/them. Although we are not in a full-fledged situation to enjoy such luxury, today, artificial intelligencecan do a lot of tasks that humans dreamed of. Moving on to the future,AI researcherspredict a period whenrobotscould walk, talk, and have perfect human qualities. Even now, half of them are already happening and some are in progress. However, we dont know if we are awaiting a future where humans and machines work together orrobotsbring an apocalypse to take over human society. There is no doubt we have had many ground-breaking advancements in machine learning, cloud computing, robotics, quantum computing, etc. Unfortunately,artificial intelligencejust isnt there yet. There are many things, thatartificial intelligence cant dofor humankind or society. In a world filled with AI punditry and hysterical fearmongering, separatingartificial intelligencefrom fiction can be a tough task indeed. That is why Analytics Insight has phrased out some things thatartificial intelligence cant dodespite its increasing dominance and unconditional development.

A major aspect where artificial intelligence falls behind humans is in using common sense. Although robots are capable of doing what man is incapable of, such as labor intense jobs and working in dangerous circumstances, artificial intelligence is still no competition to humans intellect. Machines can even make wise decisions and help humans make the right choice, but when things get twisted, robots entangle in confusion. For example, if we say A woman went shopping. She bought a beautiful dress. She left the place with a big smile. If asked what the woman shopped, a human would instantly say a beautiful dress. But answering these simple questions is very difficult for artificial intelligence.

Humans can automatically grasp the concept in real-time, but machines are not wise enough to use their common sense and answer in such situations. Besides, humans have lived through times. So, we know what is necessary for a circumstance and what is not. But machines are just fed with data that were run on humans, which can be complicated. Robots cant get things straight through those datasets and acting to situations in real-time is real trouble for artificial intelligence.

Humans are gifted with a sixth sense that makes us different from other living beings. However, despite the improvements that AI researchers have made, robots are still incapable of caring for humans or fellow robots and machines. For example, the Australian government uses a chatbot called Nadia to help people access the National Disability Insurance Scheme. Although Nadia can interpret their speech and expressions with 85% accuracy, she cant abstract the emotions they carry. With zero emotional intelligence, Nadia just looks at their sad face and carries out the process. Therefore, all the responses by Nadia are rational from a perspective. Whether the caller yells or cries or talks sweetly, her response would be similar to all of them.

This is where robots highly differ from humans. Even AI researchers agree that people will never forget how you made them feel in a critical situation and todays artificial intelligence cant compete with reality on that scale.

We mustve come across the ideology that women are capable of doing multiple tasks at the same time very well. When men are already incapable of doing the same at womens level, machines are nothing. AI researchers have trained robots to solve specific problems. But the ability to perform different tasks at a time is still in progress. Recently, Google tried its hand at making robots do multiple tasks. It implied its Google Assistant to do the routines. But the result was not very positive. Although artificial intelligence was capable of doing a number of things, it only played a selective role after receiving a command. So it is safe to say that todays robots cant take notes from a business chart, attend a phone call and answer the queries, and arrange things for the upcoming meeting, all at the same time.

Forget the dystopian future, humans are just scared of the fact that robots might take over their jobs very soon. Although this could be a reality to some extent, it is not a complete truth. Take the robots in healthcare for example. They take medicines to patients, follow their timeline, and even perform surgeries. But what they lack is the empathy to comfort people. But an actual human doctor can do that. Besides, machines cant take the initiative and proactively look for areas of improvement. Human employees develop processes and train others to make the company work more effectively and efficiently. Even though machines can take over laborious jobs, they will only push humans to carry out intellectual works without wiping out their job opportunities.

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Incapable? Yes, Artificial Intelligence Can't Do These Things! - Analytics Insight

DUBLIN--(BUSINESS WIRE)--The "Global Artificial Intelligence (AI) Partnering Terms and Agreements 2010 to 2021" report has been added to ResearchAndMarkets.com's offering.

The Global Artificial Intelligence (AI) Partnering Terms and Agreements 2010 to 2021 report provides an understanding and access to the artificial intelligence partnering deals and agreements entered into by the world's leading healthcare companies.

The Global Artificial Intelligence (AI) Partnering Terms and Agreements 2010 to 2021 report provides an understanding and access to the artificial intelligence partnering deals and agreements entered into by the world's leading healthcare companies.

The report provides a detailed understanding and analysis of how and why companies enter artificial intelligence partnering deals. The majority of deals are early development stage whereby the licensee obtains a right or an option right to license the licensor's artificial intelligence technology or product candidates. These deals tend to be multicomponent, starting with collaborative R&D, and commercialization of outcomes.

This report provides details of the latest artificial intelligence, oligonucletides including aptamers agreements announced in the healthcare sectors.

Understanding the flexibility of a prospective partner's negotiated deals terms provides critical insight into the negotiation process in terms of what you can expect to achieve during the negotiation of terms. Whilst many smaller companies will be seeking details of the payments clauses, the devil is in the detail in terms of how payments are triggered - contract documents provide this insight where press releases and databases do not.

For example, analyzing actual company deals and agreements allows assessment of the following:

The initial chapters of this report provide an orientation of artificial intelligence dealmaking and business activities. Chapter 1 provides an introduction to the report, whilst chapter 2 provides an overview of the trends in artificial intelligence dealmaking since 2010, including details of average headline, upfront, milestone and royalty terms.

Chapter 3 provides a review of the leading artificial intelligence deals since 2010. Deals are listed by headline value, signed by big pharma, most active artificial intelligence dealmaking companies. Where the deal has an agreement contract published at the SEC a link provides online access to the contract.

Chapter 4 provides a comprehensive listing of the top 25 most active companies in artificial intelligence dealmaking with a brief summary followed by a comprehensive listing of artificial intelligence deals, as well as contract documents available in the public domain. Where available, each deal title links via Weblink to an online version of the actual contract document, providing easy access to each contract document on demand.

Chapter 5 provides a comprehensive and detailed review of artificial intelligence partnering deals signed and announced since Jan 2010, where a contract document is available in the public domain. The chapter is organized by company A-Z, deal type (collaborative R&D, co-promotion, licensing, etc.), and specific therapy focus. Each deal title links via Weblink to an online version of the deal record and where available, the contract document, providing easy access to each contract document on demand.

Chapter 6 lists artificial intelligence deals by technology type.

Chapter 7 provides a comprehensive and detailed review of artificial intelligence partnering deals signed and announced since Jan 2010. The chapter is organized by specific artificial intelligence technology type in focus. Each deal title links via Weblink to an online version of the deal record and where available, the contract document, providing easy access to each contract document on demand.

In addition, a comprehensive appendix is provided organized by artificial intelligence partnering company A-Z, deal type definitions and artificial intelligence partnering agreements example. Each deal title links via Weblink to an online version of the deal record and where available, the contract document, providing easy access to each contract document on demand.

The report also includes numerous tables and figures that illustrate the trends and activities in artificial intelligence partnering and dealmaking since 2010.

In conclusion, this report provides everything a prospective dealmaker needs to know about partnering in the research, development and commercialization of artificial intelligence technologies and products.

Key Topics Covered:

Executive Summary

Chapter 1 - Introduction

Chapter 2 - Trends in artificial intelligence dealmaking

Chapter 3 - Leading artificial intelligence deals

Chapter 4 - Most active artificial intelligence dealmakers

Chapter 5 - Artificial intelligence contracts dealmaking directory

Chapter 6 - Artificial intelligence dealmaking by technology type

Chapter 7 - Partnering resource center

For more information about this report visit https://www.researchandmarkets.com/r/lyklma

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Global Artificial Intelligence in Healthcare: Deals and Agreements by Leading Players From 2010-2021 - ResearchAndMarkets.com - Business Wire

Barcelona: Telefnicas chairman, Jos Mara lvarez-Pallete, used his speech on Monday during the first day of the Mobile World Congress, at the opening of a session organised by the GSMA and entitled 'Our Connected World', to highlight the potential and the opportunity that digital transformation represents. "This digital revolution is the once in a lifetime opportunity to reimagine the future. With great opportunities, comes great responsibility. Let us honor it," he emphasized.

Precisely in order to reinforce the historic moment that now presents itself both for the telecommunications sector and for society as a whole, lvarez-Pallete based his speech on three concepts: Relevance and Revolution through Reclamation.

Recalling all that has happened in the last year, which "has been like travelling in a time machine five years ahead in terms of adoption of technology", he highlighted the fact that telecommunications networks passed the test to which they were subjected. "When we were most needed, we were there," he said, reflecting the Relevance acquired by telecommunications companies. And, above all, he underlined the new world that is opening up for these networks, which "are no longer just carrying data but enabling the world of the Artificial Intelligence". " As much as a 40% of Internet traffic is non-human, generated by machines that are talking to each other", he pointed out as a demonstration of this new era in which digitization "is going to yield enormous amount of data that can be transformed into information by the Artificial Intelligence".

The challenge is to turn that data into knowledge, which requires "taking digitization to the next level, making it smart, letting Artificial Intelligence realise its full potential". He added: "This can only happen with the support of the next generation digital infrastructure and a solid telco sector whose Relevance to the economy and society is now more significant than ever.

In further detailing his approach, lvarez-Pallete has placed cutting-edge connectivity as "the first ingredient" of the new smart digitization. Next to it, as the second ingredient, "technologies like Edge Computing, Cloud, Cybersecurity, IoT and Big Data". And, as the last ingredient, the forecast of a substantial increase in data generated by digitization and transformed into information by Artificial Intelligence. "The real evolution lies there," said lvarez-Pallete.

Seizing it requires decisive action. "This is an extraordinary opportunity we cannot miss, but it is also a bog challenge. Governments need to attract investment in the smart digital infrastructure that will make all that possible," he said. And this response must come now, because there is no time to lose: "We need to react to keep up with the opportunity. To grab it, Europe needs a sustainable telco sector, otherwise we will lag further behind in the global race for digital leadership.

"We reclaim a new regulatory framework and competition rules to build a strong digital Europe", he demanded. This call proposes a necessary change to take full advantage of digitization as a transformative lever capable of generating growth, quality jobs, sustainability and inclusion.

These changes are what the current Digital Revolution can bring about, which, if well managed, will transcend its dimension and become an Intelligent Revolution. We need a new Digital Deal to manage the digital transition with values and people at the core" said lvarez-Pallete.

Driven by its mission to 'make our world more human by connecting lives', Telefnica promotes fair, inclusive and sustainable digitization, so that digital can also act as a unifying and cohesive backbone if it is conducted with a clear vision. "It is our collective responsibility to future generations to spread the benefits of digitization and make sure that we do not leave anyone behind. Inequality of opportunities is the major challenge we are facing," he warned.

This need to combine the potential of digitization and connectivity with values and people is evident in the processing and management of data, which in this revolution has become a new production factor that is absolutely key because of the sensitive information it contains. "Our privacy and our individual data are part of our dignity. We have the right to know who is using it and how, how much it is worth and who benefits from their value", said Telefnicas chairman.

lvarez-Pallete's speech took place during the first of four days of this year's Mobile Congress. Telefnica is attending the Congress in person, with a 952 square metre stand, and with an extensive virtual proposal, reflected in a twin or digital stand through which all the latest news on the company's participation in the MWC can be followed. In total, the Group will showcase up to 34 customer success stories that will showcase the solutions, services and applications with which Telefnica supports companies, sectors and public administrations in their digital and technological transformation.

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lvarez-Pallete: "We must take digitization to the next level with Artificial Intelligence" - TelecomTV

Introduction

Internet a world-changing invention that is involved in most of the things we do. When we talk about education in the modern-day, we cannot put aside the digital world. Online students can find legit writing services or, if they cant decide on an essay service, they can get reviews and see which are the best. Or they can get some help with different questions they might have. Teachers, on the other hand, also have quite a lot of resources to pick from. There are opportunities to learn more about classroom management, student motivation, interaction, etc.

When we talk about the digital world, though, we should pay some attention to artificial intelligence. This is a particular area of study that will grow more and more with the days to come.

Artificial Intelligence, or the so-called AI, is gaining more and more steam as we continue to innovate it. We encounter it in quite a lot of places in our day-to-day life, for instance, in applications as Alexa. We also already know that with the current pandemic we experienced a growth in digital education. So, how do we see AI in the future of education in general?

AI systems are such machines (or, perhaps, software) that can perform human-like tasks. By that, we mean that the algorithms behind them allow them to do tasks that are usually associated with people. AI systems rely on their algorithms for executing their functions. Via them, they examine the available information and reach conclusions. Once they reach such a conclusion, they then act. It can be perception, interaction, behavior reasoning, finding patterns, etc.

Through AI systems machines can perform high-level functions massively and rapidly. Sometimes they even resemble humans in their actions. Sure, this brings about not only excitement but also fear.

There is a view among some circles that AI can replace humans. But its also possible that AI will work together with people, helping them in their day-to-day life. When we talk about education, we want to point out that human interaction is key. Still, AI can offer some help for teachers by automating various routine tasks.

Teaching is a highly sensitive area. Student-teacher interaction is close contact. Teachers need to build a trusting relationship with their pupils. Also, some types of feedback require human interaction. Thus, we cannot talk about AI replacing teachers. We dont consider such a possibility for some tasks that require face-to-face contact.

But some repetitive tasks can be automated using AI systems. This will allow teachers to put more emphasis on complex activities.

AI can offer many possibilities for education. For instance, it can support teachers and collaborate with them. Of course, collaboration isnt said in the traditional human-to-human meaning. No, AI can rather help teachers gain more knowledge of the strong and weak sides of their students.

Yes, through the use of AI one can create specific assessments. They can then be used to allow teachers to understand how far along the material are their students. With such programs teachers can see which students excel where and where are the weak points.

Also, teachers have a lot of students to work with. They cannot pay attention to anyone all the time. So, in some cases, they will be working with specific students. Via AI, though, they can understand what is happening to other students at that time.

AI presents another opportunity, too. It can offer a way for students and teachers to collaborate better. It can also enhance the work-together skills of students.

When we are talking about complex problems and means of solving them, AI can help here, as well. It can boost the problem-solving skills of students and teachers alike both individually and as a group.

With AIs students can experience personalized learning. When a teacher is working with a class, personalized learning isnt an easy thing to achieve. But it can be done through AI systems. Those systems will allow customization of the learning process for the particular student.

Emotional well-being is something that is thought about, too. The emotional states of children impact how they learn. AI can help identify what is the emotional state of the students and give them support. Such support can be offered through gestures, words, or attempts at motivating the student.

Artificial Intelligence can be used in various applications. Some of them we are already familiar with. But there are also other opportunities. For instance, AI can be used in learning apps. By them, students can experience gameplay that is related to learning specific materials and/or skills. Like, they can be learning math while playing a certain AI-powered game. Or they can ask for help with homework and questions that bother them and receive automatic answers from other students. Such applications can be used to tailor personalized learning plans for every student.

Sure, there are still areas that will require human-to-human interaction. Thats for certain. But the introduction of AI into the classroom can help free teachers time for more important aspects. It can also improve the interaction in the classroom.

AI systems are certainly something that will grow even more with time elapsed. We should think about how they can affect the future of education.

They can do that in various ways. We mentioned some of the above, but we are certain that new and new inventions will arise. With all of them, we can get a better understanding of the learning process, how students interact with one another, of how teachers can tailor their study plans.

One huge plus is the opportunity for a personalized learning process. Teachers cannot be with everyone all the time. Their teaching methodology cannot be tailored to every single student on their own, or they will have no time for everyone. Here comes AI. That system offers to give us a way to suit the learning plans specifically to every student. This will allow kids to learn at their own pace, strengthen their weak sides, and get even better in their strong aspects. AI cannot replace teachers but can certainly teach us something.

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Artificial Intelligence and What Does It Mean for Education - Analytics Insight