Inside the French governments mission to develop an encrypted messaging platform – NS Tech

Recent years have seen a step-change in French government operations. An unprecedented modernisation agenda has created new ways of working for officials and civil servants alike.

As part of a drive for more efficient and effective collaboration, the Interdepartmental Digital Directorate (DINUM) set out in late 2017 to develop a secure messaging service for members of the government to communicate safely.

Mainstream messaging applications, such as Signal, Telegram and WhatsApp, were not deemed suitable for a government-wide messaging solution. These centralised, proprietary apps would keep French government data within their own systems.

They offer little transparency, says Jrme Ploquin, project director at the State Digital Directorate, Prime Ministers Services.

We didnt know about what backdoors might be in place. We couldnt be sure about the quality of the end-to-end encryption, nor audit the solutions. Data would be off our own servers, and probably out of the country. The Patriot Act creates ambiguity, and the providers business models were not suitable for government use. We saw them as consumer-grade solutions.

DINUM, in partnership with Frances National Agency for Information System Security (ANSSI), scoured the world for potential solutions. Ownership and digital sovereignty topped the list of daunting selection criteria. Confidentiality and security were also critical, as was usability for a system that would be used by the countrys highest officials and hundreds of thousands of civil servants. For a system that would need to scale across Frances entire civil service and eventually its respective ecosystems, it also had to be open, interoperable and support a huge number of users.

Although DINUM wasnt looking for an open source solution specifically, it discovered Matrix; a decentralised communication protocol developed with interoperability and privacy in mind. Element, whose founders also lead the open source Matrix project, helped DINUM deploy the Matrix-based Tchap solution.

Matrix is an open network for secure, decentralised communication. It is the foundation for a completely different approach to real time collaboration.

Being decentralised enables people and organisations to host their own conversations; keeping data within their control (via on-premise hardware, private cloud, or cloud provider) rather than being stored by the service provider. That instantly delivered Tchaps need for ownership and data sovereignty.

An open protocol, Matrix-based systems interoperate seamlessly. That gave Tchap the ability to federate across every organisation within the French public sector. Each organisation can simply be added to the solution, and instantly be able to easily communicate and collaborate with other departments. Scalability and interoperability were clearly addressed by Matrix.

Matrix also supports genuine end-to-end encryption meaning that messages can only be decrypted by the people participating in the conversation based on the Double Ratchet Algorithm, open sourced, and subject to cryptographic review by NCC Group. That gave Tchap the assurances it was looking for around security.

Despite Matrix being a relatively new protocol, it was technically advanced and had a large, active open source community. It was proven, and really quite mature, says Ploquin.

The flagship client app, Element, was still very new and we decided to use that as a base for our client app across Android, iOS and web, explains Ploquin.

We wanted to reflect the French governments colours in the user interface and simplify some aspects to tailor it for widespread use across a collection of organisations with potentially over five million people. We also wanted an antivirus to protect against external threats.

Tchap Agent went live in April 2019 and was rolled out across all ministries. By March 2020 Tchap had around 80,000 daily active users, making it one of the worlds largest deployments of a collaboration tool; the sheer size of the user base reflecting just how many different organisations the Matrix-based solution was able to support.

Within weeks, the user base doubled to 160,000 as the coronavirus pandemic saw the vast majority of Frances civil service switch to home-based working. Tchap scaled easily, and enabled Frances public sector to adjust quickly to an unprecedented new normal.

Tchap is an excellent example of what we describe as universal secure collaboration, explains Elements co-founder and chief operating officer, Amandine Le Pape.

Universal means that it is open, and therefore easy to federate across different organisations. Any Matrix-based client is instantly interoperable with it, and it can also be bridged into other open protocols like IRC, or into proprietary systems such as Slack.

It takes a completely different approach to the vast majority of messaging and collaboration; self-hosting data, decentralisation, end-to-end encryption and cross-signing to verify participants as well as supporting the usual protections such as anti-virus.

And, more than just a messenger, it is a complete collaboration tool that allows secure file sharing, screen sharing and all types of possibilities around integrations and connectivity.

Tchap has enjoyed positive feedback as it has rolled out across the public sector, with over 80 per cent of users saying it has delivered big benefits. Like any project, particularly for a public one of this size, there have been twists and turns, says Ploquin. We had teething troubles, a security scare, and the inevitable changes in requirements.

We also scaled from 80,000 to 160,000 daily active users almost overnight, and have seen people adopt and adapt Tchap in the most delightful of ways. Human beings are at their best when they communicate, and Tchap allows them to do that in new and previously unthinkable ways.

The G7 in Biarritz, for example, in August 2019, was an early demonstration of Tchap being used to manage a high-security event. It is now routine for the emergency services to coordinate through Tchap to ensure more effective working in response situations.

The impact of Tchap bringing together communities of people with shared goals is perhaps the most satisfying thing for Ploquin:

Were seeing people from a wide range of organisations participate in rooms dedicated to particular topics; from our ambassadors in Africa coordinating their response to the pandemic, to best practice discussions around challenges such as cybercrime. People are proactively sharing their knowledge, helping everyone to improve what they do.

Tchaps rollout continues, with the current focus on the regions, and Frances principalities. That will take Tchaps user base to around 300,000 people, although there is little to stop the system being adopted right across Frances public sector.

Although Tchap is already a huge deployment, in many ways were just getting started. We want to encourage Tchap users to innovate with how they use the platform. From hospitals to education, we imagine enabling all sorts of new uses as people better understand the power and flexibility that Tchap offers.

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Inside the French governments mission to develop an encrypted messaging platform - NS Tech

Facebook urged to end encryption to help cops stop paedophiles using app – The Sun

FACEBOOK chief Mark Zuckerberg must end the firms encryption plans to aid cops tracking criminals, campaigners say.

Their demand comes after an online pervert admitted 96 offences against 51 children.

2

Cops fear he could have gone undetected had the toughened messaging been in place.

Labourer David Wilson, 36, of Ipswich, posed as teenage girls to get boys to send him photos and video of themselves.

He used Facebook Messenger which is set to be tightened so only a sender and recipient can read or modify a message.

2

Andy Burrows, the NSPCCs head of child safety online policy, said: The choice is clear for Mark Zuckerberg.

"Pause end-to-end encryption until he can prove it will not hold back police, or risk letting offenders like Wilson abuse kids unseen.

Cops fear terrorists will also evade capture. Rob Jones, National Crime Agency director of threat leadership, said: We get tens of thousands of reports every year about paedophiles from Facebook.

He warned encryption will be turning out the lights for policing.

A Facebook spokesman said: Child exploitation and grooming have no place on our platforms.

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Facebook has led the industry in developing new ways to prevent, detect, and respond to abuse and we will continue to work with law enforcement to combat criminal activity.

End-to-end encryption is already the leading technology used by many services to keep people safe and we will build on our strong anti-abuse capabilities at WhatsApp when we roll it out on our other messaging services.

For example, through a combination of advanced technology and user reports, WhatsApp bans around 250,000 accounts each month suspected of sharing child exploitative imagery."

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Facebook urged to end encryption to help cops stop paedophiles using app - The Sun

EU targets end-to-end encryption tools after rise in terror attacks – DIGIT.FYI

EU ministers say they are making moves to gain access to encrypted data to help protect the world against terrorist attacks.

In a statement released in early November, ministers argued that gaining access to digital information is becoming more important, and that police forces gaining access to this data is essential for preventing and eliminating terrorist action.

The statement comes after EU internal documents on encryption and child sex abuse were released, as well as news of potential issues with end-to-end encryption and child sex images on Facebook.

It was discovered in October this year that Facebooks messenger app accounts for 94% of millions of child sex abuse images reported by tech companies.

Despite this, Facebook owner Mark Zuckerberg says that the company intends to add end-to-end encryption in the future which would be designed to improve user privacy across all its platforms.

End-to-end encryption is a tool used by apps such as WhatsApp and Facebook Messenger to provide a greater level of privacy.

When a user sends a message, a unique code is allocated to the message which can only be decoded by the recipient. This stops the messages being intercepted and read by government agencies or hackers.

However, this raises major national security concerns, as the traditional monitoring of criminals cannot be carried out, and EU regulators say this could be allowing terrorists to organise attacks.

In the released statement, the Ministers said: Access to digital information is becoming ever more crucial whether it is traffic data or in some cases, content data and the mobility of this data demands effective cross-border instruments because otherwise terrorist networks will in many cases be a step ahead of the investigating authorities.

The competent authorities access to the digital information, that is essential for preventing and eliminating terrorist action must with respect for fundamental rights be ensured and boosted, especially by concluding the current work on cross-border access to electronic evidence and by devising a way forward on data retention for crime-fighting purposes.

End-to-end encryption has been a contentious for many years now, especially since the rise of internet usage and online communication apps, and Facebook appears to be a particular target.

As well as the movement of child sex images, in December last year, NSPCC questioned Facebooks adoption of encryption into its services, stating that its plans could create dangerous conditions for children online.

The firms encryption strategy was also attacked in October 2019 by Home Secretary Priti Patel, who claimed that the decision to encrypt messaging services would restrict law enforcement agencies and put citizens in danger.

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EU targets end-to-end encryption tools after rise in terror attacks - DIGIT.FYI

European Legislators Move to Eliminate End-to-End Encryption in Messaging Services Following Terror Attacks – Digital Information World

Part of the reason why people end up trusting messaging services such as WhatsApp in spite of the fact that it is owned by Facebook, a company that isnt well known for caring about things like the privacy of its users, is because of the fact that it has end to end encryption. WhatsApp competitors such as Signal also offer this kind of encryption, and as a result of the fact that this is the case you can rest assured that nobody would ever be able to read the messages that you send since they would be encrypted in a highly untraceable manner.

With all of that having been said and now out of the way, it is important to note that European legislators appear to be trying to work towards getting rid of this encryption, or at the very least making it so that they would have a means of cracking through it if they need to investigate someone or the other. A big part of the reason what that is the case has to do with the fact that the continent has seen a surge in terrorist attacks recently with eight people having been killed by terrorists in three separate countries in the past couple of months alone.

While it is understandable that a government that is facing a terrorism crisis would want to eliminate any potential channels of communications that would allow terrorists to communicate privately and secretly, at the same time a lot of people are criticizing this as an assault on user privacy. User privacy is the sort of thing that has ended up becoming rather sacred as the internet has become an intrinsic part of our day to day lives, and a government trying to compromise it will never be seen as a good thing.

Some are also criticizing this as an attempt to make it easier for governments to conduct surveillance on whoever they choose, something that a lot of people are weary of since it is a pretty slippery slope that can lead to a lot of terrible situations.

Read next:Google is planning to enforce upgraded privacy standards for Chrome extensions soon

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European Legislators Move to Eliminate End-to-End Encryption in Messaging Services Following Terror Attacks - Digital Information World

5 Tips to Help Workers Upskill and Adapt to Artificial Intelligence – SHRM

The World Economic Forum says technologies like artificial intelligence (AI) will displace 75 million jobs by 2022 but will also create 133 million new roles. That's a net gain of 58 million new jobs. To prepare workers for these new jobs, organizations will have to provide significant resources for upskilling their workforces. And employees will need to take personal responsibility for their career development in a context of rapid technological change.

How can HR professionals prepare employees and organizations for a present and future where AI is increasingly working with humans to drive business outcomes?

The 'Right' Mindset about AI

"HR professionals need to begin by shifting their mindsets about AI," said Jeff Schwartz, a principal with Deloitte Consulting. "It's not about dividing work between people and AIit's not an either/or propositionbut about how to create new value in new ways." The author of the upcoming book Work Disrupted (Wiley, 2021), Schwartz compares AI's impact to that of ATMs, beginning in the late 1970s: "ATMs didn't eliminate the jobs of bank tellers. We've actually seen an increase in the number of bank tellers and in bank branches since ATMs came on the scene."

What HR professionals need to consider is how people and AI can work together to do things better, which will likely mean reconfiguring work. As a general matter, Schwartz said, "AI is good at performing tasks in large scale, working with speed and analyzing massive amounts of data. People, on the other hand, are good with empathy, with communication, with flexibility in problem-solving."

Acting as strategic partners with the overall business, HR professionals should be asking, "What are our potential ATMs, our complementary solutions that add value with technology and humans working together?" HR has to rethink work, the workforce and the workplace in order to create new value, explained Schwartz, "especially at a time of accelerating change when organizations and individuals need to be more agile."

Upskilling: A Win-Win

Sean Chou, CEO of Chicago-based automation technology firm Catalytic, is a strong advocate of upskilling as a way to support both his organization and his employees in adapting to AI-enhanced ways of working. "AI means less employee time spent searching for and manually formatting data, leaving them with more time for analysis and decision-making," Chou said. "This time savings also means that workers have more time for upskilling. That's a win-win, since employees become more valuable to themselves and the company, while employee morale and retention are boosted."

Gretchen Alarcon, vice president of HR Service Delivery at California-based software company ServiceNow, involves employees in the process of reconfiguring their own jobs. "We engage our employees to help design the AI-enhanced processes they will use every day, and this starts with listening and discovery to understand which existing processes need to be fixed," she said. "After all, the people who stand to benefit the most from AI are also the ones who will know where AI is needed most." Alarcon finds that this bottom-up approach improves the efficiency of AI in the workplace and, more importantly, "puts employees at the forefront of leading change, not being dragged along by it."

5 Tips for Supporting Employees in Adapting to AI

We asked experts to share their best tips with HR professionals striving to support employees in upskilling and adapting to AI.

1. Be clear about your AI strategy and value. Detail how AI will positively impact employees so that they adapt to the changes with an open mind. Listen to employee concerns and quell any fears they may have by being upfront and honest about how things will change. Some employees may make the transition in no time (for instance, 43 percent of members of Generation Z say they want to use AI on the job, according to a ServiceNow survey), while others won't be so quick to embrace the technology. HR professionals need to make sure everyone is supported, according to Alarcon.

2. Explain how AI can benefit employee experience. Show employees the transformative power of AI to handle all the administrative, repetitive tasks they dread and how it empowers them to have new and impactful experiences in the workplace. If deployed correctly, AI can serve as a journey accelerator for employees and give them the tools to go from new hire to team rock star in no time, said Anne Fulton, CEO of career experience platform Fuel50.

3. Explore ways AI can help employees beyond the elimination of manual processes. Get employees thinking about potential future benefits of AI to improve the employee experience. Imagine a near-term future where an AI bot recognizes that an employee is working on a new project and could use some more background knowledge, so an informational video gets shared to help that employee. Perhaps the AI can detect a change in an employee's mood and alert a manager to suggest a longer lunch break. Keep exploring the multiple ways AI can add value, Fulton said.

4. Promote a culture of learning and development to help the workforce gain a sense of purpose and innovation in their work. Investing in workplace tools, promoting a culture of curiosity and innovation, and offering training and learning opportunities for employees are important levers organizations can use to grow skills and capabilities around AI, according to Art Mazor, Deloitte's global HR transformation practice leader.

5. Share successes and best practices. Create some key metrics you'd like to improve as a result of implementing AI, including your upskilling efforts, then track your progress. Like any technology, adding AI can seem daunting at first, but it's important to remember why you implemented the technology and encourage your team to share their "wins" and lessons learned with each other. That builds momentum, said Jessica Rush, chief talent officer at conversational AI software provider Paradox.

Joseph Romsey is a freelance writer based in Massachusetts.

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5 Tips to Help Workers Upskill and Adapt to Artificial Intelligence - SHRM

Raytheon and C3.ai announce alliance on artificial intelligence solutions – C4ISRNet

WASHINGTON Raytheons intelligence and space business is partnering with C3.ai, a software company known for its predictive maintenance business with the U.S. Air Force, the companies announced Monday.

The alliance between C3.ai and Raytheon Intelligence and Space aims to speed up artificial intelligence adoption across the U.S. military. The partnership will pair Raytheons expertise in the defense and aerospace sector with C3.ais artificial intelligence development and applications.

The military and intelligence community have access to more data now than any time in history, but its more than theyre able to make quick use of, said David Appel, vice president of defense and civil solutions for space and C2 systems under Raytheon Intelligence and Space. Artificial intelligence can be used to help them make sense of that data, which will allow them to make smarter decisions faster on the battlefield. And thats just one of the benefits.

In recent years, C3.ai has positioned itself as a trusted partner of the Air Force, providing predictive maintenance capabilities for the services E-3, C-5 Galaxy, F-15, F-16, F-18 and F-35 aircraft. The Pentagons Silicon Valley arm that helped bridge C3.ai into the Pentagon, the Defense Innovation Unit, estimated that the program could save the service $15 billion annually in maintenance funds if it was scaled to the Defense Departments entire aircraft fleet.

In January, DIU awarded a five-year, $95 million contract to C3.ai for predictive maintenance. The alliance between the two companies will also focus on helping the intelligence community.

Raytheon and C3.ai are driven by similar purposes: Anticipating and solving our customers most difficult problems, said Thomas Siebel, CEO of C3.ai. Together, we offer an end-to-end enterprise AI platform and mission-tailored applications that will dramatically reduce cost and risk, accelerate adoption and deployment of AI solutions, and scale the impact of AI across any organization.

In September, the Air Forces rapid sustainment office selected C3.ais C3 AI Suite platform and C3 AI Readiness product to support predictive maintenance across the services enterprise.

Raytheon and C3.ai represent key partners for the U.S. Air Force, and specifically the Rapid Sustainment Office, in realizing the vision of harnessing AI to transform the military into a digital organization, said Nathan Parker, deputy program executive officer for the Air Force Rapid Sustainment Office. Fulfilling this vision of broad implementation requires identifying applicable use cases for AI across the Air Force, rapidly piloting solutions, and scaling successes across our enterprise to accelerate the transformation.

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Also on Monday, C3.ai announced that it will be launching an initial public offering. It expects shares to be valued between $31-$34.

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Raytheon and C3.ai announce alliance on artificial intelligence solutions - C4ISRNet

Opinion/Middendorf: Artificial intelligence and the future of warfare – The Providence Journal

By J. William Middendorf| The Providence Journal

J. William Middendorf, who lives in Little Compton, served as Secretary of the Navy during the Ford administration. His recent book is "The Great Nightfall: How We Win the New Cold War."

Thirteen days passed in October 1962 while President John F. Kennedy and his advisers perched at the edge of the nuclear abyss, pondering their response to the discovery of Russian missiles in Cuba. Today, a president may not have 13 minutes. Indeed, a president may not be involved at all.

Artificial intelligence is the future, not only for Russia, but for all humankind. It comes with colossal opportunities but also threats that are difficult to predict. Whoever becomes the leader in this sphere will become the ruler of the world.

This statement from Vladimir Putin, Russian president, comes at a time when artificial intelligence is already coming to the battlefield and some would say it is already here. Weapons systems driven by artificial intelligence algorithms will soon be making potentially deadly decisions on the battlefield. This transition is not theoretical. The immense capability of large numbers of autonomous systems represent a revolution in warfare that no country can ignore.

The Russian Military Industrial Committee has approved a plan that would have 30% of Russian combat power consist of remote controlled and autonomous robotic platforms by 2030. China has vowed to achieve AI dominance by 2030. It is already the second-largest R&D spender, accounting for 21% of the worlds total of nearly $2 trillion in 2015. Only the United States at 26%ranks higher. If recent growth rates continue, China will soon become the biggest spender.

If China makes a breakthrough in crucial AI technology satellites, missiles, cyber-warfare or electromagnetic weapons it could result in a major shift in the strategic balance. Chinas leadership sees increased military usage of AI as inevitable and is aggressively pursuing it. Zeng Yi, a senior executive at Chinas third-largest defense company, recently predicted that in future battlegrounds there will be no people fighting, and, by 2025, lethal autonomous weapons would be commonplace.

Well-intentioned scientists have called for rules that will always keep humans in the loop of the military use of AI. Elon Musk, founder of Tesla, has warned that AI could be humanitys greatest existential threat for starting a third world war. Musk is one of 100 signatories calling for a United Nations-led ban of lethal autonomous weapons. These scientists forget that countries like China, Russia, North Korea and Iran will use every form of AI if they have it.

Recently, Diane Greene, CEO of Google, announced that her company would not renew its contract to provide recognition software for U.S. military drones. Google had agreed to partner with the Department of Defense in a program aimed at improving Americas ability to win wars with computer algorithms.

The world will be safer and more powerful with strong leadership in AI. Here are three steps we should take immediately.

Convince technological companies that refusal to work with the U.S. military could have the opposite effect of what they intend. If technology companies want to promote peace, they should stand with, not against, the U.S, defense community.

Increase federal spending on basic research that will help us compete with China, Russia, North Korea and Iran in AI.

Remain ever alert to the serious risk of accidental conflict in the military applications of machine learning or algorithmic automation. Ignorant or unintentional use of AI is understandably feared as a major potential cause of an accidental war.

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Opinion/Middendorf: Artificial intelligence and the future of warfare - The Providence Journal

Artificial intelligence solves 50-year-old science problem – ‘Its a game changer’ – Daily Express

A 50-year-old science problem has been solved remarkably early with artificial intelligence, researchers have announced. The news could now fast-track how diseases are both treated and cured.

Scientists have long been hampered by an issue known as protein folding.

This computational work represents a stunning advance on the protein-folding problem, a 50-year-old grand challenge in biology

Professor Venki Ramakrishnan

This involves mapping the 3D shapes of the proteins identified as responsible for diseases ranging from coronavirus to cancers.

Googles Deepmind claims to have created an artificially intelligent program called 'AlphaFold' capable of solving those problems within days.

If all goes according to plan, experts suggest the solution has come decades earlier than expected, potentially leading to revolutionary ways diseases are treated.

READ MORE:AI-manipulated media will be WEAPONISED to trick military

Although 200 million proteins are known to exist, only a fraction have actually been unfolded to fully understand how they work.

And the minority that are understood have relied upon on expensive and time-intensive techniques.

These often involved scientists spending years and millions unfailing each structure.

Google DeepMind worked on the AI project with 14th Community Wide Experiment on the Critical Assessment of Techniques for Protein Structure Prediction (CASP14), scientists investigating the matter since 1994.

Dr John Moult, chair of CASP14, said "Proteins are extremely complicated molecules, and their precise three-dimensional structure is key to the many roles they perform, for example the insulin that regulates sugar levels in our blood and the antibodies that help us fight infections.

"Even tiny rearrangements of these vital molecules can have catastrophic effects on our health, so one of the most efficient ways to understand disease and find new treatments is to study the proteins involved.

"There are tens of thousands of human proteins and many billions in other species, including bacteria and viruses, but working out the shape of just one requires expensive equipment and can take years."

DeepMind has announced AlphaFold understood the shape of around two-thirds of the proteins with accuracy comparable to laboratory experiments.

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DeepMind has published the results of those tests on its website, allowing verification to be made by external scientists.

The team behind the AlphaFold project will next focus on determining how multiple proteins form complexes and their interaction with human DNA.

Professor Venki Ramakrishnan, Nobel Laureate and president of the Royal Society, said: "This computational work represents a stunning advance on the protein-folding problem, a 50-year-old grand challenge in biology.

"It has occurred decades before many people in the field would have predicted.

"It will be exciting to see the many ways in which it will fundamentally change biological research."

Among other revelations, Google DeepMind noted predicted protein structures could play an important role in responding to future pandemics.

Such machine learning technology has already been used on the protein structures of the SARS-CoV-2 virus, responsible for Covid-19.

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Artificial intelligence solves 50-year-old science problem - 'Its a game changer' - Daily Express

Europe Artificial Intelligence in Healthcare Diagnosis Markets, 2019-2020 & 2027 – AI in Epidemic Outbreak Prediction and Response Gaining…

DUBLIN, Nov. 30, 2020 /PRNewswire/ -- The "Europe Artificial Intelligence in Healthcare Diagnosis Market Forecast to 2027 - COVID-19 Impact and Regional Analysis by Diagnostic Tool; Application; End User; Service; and Country" report has been added to ResearchAndMarkets.com's offering.

The Europe Radiology Information Systems (RIS) market is projected to reach from US$ 315.32 million in 2019 to US$ 574.44 million by 2027. This represents a CAGR of 8.0% from 2020 to 2027.

The growth of the Europe Radiology Information Systems (RIS) market is primarily attributed to advancements in diagnostic imaging solutions coupled with rising number of diagnostic procedures, and increasing partnerships and collaborations are driving the adoption of radiology information systems.

The healthcare industry has always been a leader in innovation. The constant mutating of diseases and viruses makes it difficult to stay ahead of the curve. However, with the help of artificial intelligence and machine learning algorithms, it continues to advance, creating new treatments and helping people live longer and healthier. Medical imaging is a vital part of medical care and treatment across the globe. Rising awareness regarding early diagnosis of diseases has led to an increase in the total number of diagnostic tests procedures performed around the world.

For instance, as per NHS England report, in 2018, ~42.7 million imaging tests were performed in England, an increase of 1.4% than the previous year. X-ray was the most performed method with 22.9 million procedures, followed by diagnostic ultrasonography (9.51 million), CT Scan (5.15 million), and magnetic resonance imaging (3.46 million).

In 2019, the Integrated RIS segment held a considerable share of the for Europe Radiology Information Systems (RIS) market, by the product. This segment is also predicted to dominate the market by 2027 owing to rising demand for AI based application for radiology.

Key Topics Covered:

1. Introduction

1.1 Scope of the Study

1.2 Report Guidance

1.3 Market Segmentation

2. Europe Artificial Intelligence in Healthcare Diagnosis Market - Key Takeaways

3. Research Methodology

3.1 Coverage

3.2 Secondary Research

3.3 Primary Research

4. Europe Artificial Intelligence in Healthcare Diagnosis Market - Market Landscape

4.1 Overview

4.2 PEST Analysis

4.3 Expert Opinion

5. Europe Artificial Intelligence in Healthcare Diagnosis Market - Key Market Dynamics

5.1 Market Drivers

5.1.1 Rising Adoption of Artificial Intelligence (AI) in Disease Identification and Diagnosis

5.1.2 Increasing Investment in AI Healthcare Start ups

5.2 Market Restraints

5.2.1 Lack of skilled AI Workforce and Ambiguous Regulatory Guidelines for Medical Software

5.3 Market Opportunities

5.3.1 Increasing Potential in Emerging Economies

5.4 Future Trends

5.4.1 AI in Epidemic Outbreak Prediction and Response

5.5 Impact analysis

6. Europe Artificial Intelligence in Healthcare Diagnosis Market - By Diagnostic Tool

6.1 Overview

6.2 Europe Artificial Intelligence in Healthcare Diagnosis Market Revenue Share, by Diagnostic Tool (2019 and 2027)

6.3 Medical Imaging Tool

6.3.1 Overview

6.3.2 Medical Imaging Tools: Artificial Intelligence in Healthcare Diagnosis Market - Revenue and Forecast to 2027 (US$ Million)

6.4 Automated Detection System

6.4.1 Overview

6.4.2 Automated Detection System: Artificial Intelligence in Healthcare Diagnosis Market - Revenue and Forecast to 2027 (US$ Million)

6.5 Others

6.5.1 Overview

6.5.2 Others: Artificial Intelligence in Healthcare Diagnosis Market - Revenue and Forecast to 2027 (US$ Million)

7. Europe Artificial Intelligence in Healthcare Diagnosis Market Analysis, by Application

7.1 Overview

7.2 Artificial Intelligence in Healthcare Diagnosis Market Revenue Share, by Application (2019 and 2027)

7.3 Eye Care

7.3.1 Overview

7.3.2 Eye Care: Artificial Intelligence in Healthcare Diagnosis Market - Revenue and Forecast to 2027 (US$ Million)

7.4 Oncology

7.5 Radiology

7.6 Cardiovascular

8. Europe Artificial Intelligence in Healthcare Diagnosis Market - By End-User

8.1 Overview

8.2 Artificial Intelligence in Healthcare Diagnosis Market, by End-User, 2019 and 2027 (%)

8.3 Hospital and Clinic

8.3.1 Overview

8.3.2 Hospital and Clinic: Artificial Intelligence in Healthcare Diagnosis Market - Revenue and Forecast to 2027 (US$ Million)

8.4 Diagnostic Laboratory

8.5 Home Care

8.5.1 Overview

8.5.2 Home Care: Artificial Intelligence in Healthcare Diagnosis Market - Revenue and Forecast to 2027 (US$ Million)

8.5.3 Doctors

8.5.4 Patients

9. Europe Artificial Intelligence in Healthcare Diagnosis Market - By Service

9.1 Overview

9.2 Artificial Intelligence in Healthcare Diagnosis Market, by Service, 2019 and 2027 (%)

9.3 Tele-Consultation

9.3.1 Overview

9.3.2 Tele-Consultation: Artificial Intelligence in Healthcare Diagnosis Market - Revenue and Forecast to 2027 (US$ Million)

9.4 Tele-Monitoring

9.5 Others

10. Europe Artificial Intelligence in Healthcare Diagnosis Market - Country Analysis

11. Impact Of COVID-19 Pandemic on Europe Artificial Intelligence in Healthcare Diagnosis Market

11.1 Europe: Impact Assessment Of COVID-19 Pandemic

12. Company Profiles

12.1 Key Facts

12.2 Business Description

12.3 Products and Services

12.4 Financial Overview

12.5 SWOT Analysis

12.6 Key Developments

For more information about this report visit https://www.researchandmarkets.com/r/dj2zk7

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Europe Artificial Intelligence in Healthcare Diagnosis Markets, 2019-2020 & 2027 - AI in Epidemic Outbreak Prediction and Response Gaining...

Modular Robotics Markets, 2030 – Opportunities in the Use of Artificial Intelligence (AI) to Improve Productivity – WFMZ Allentown

DUBLIN, Nov. 30, 2020 /PRNewswire/ -- The "Modular Robotics Market Research Report: By Offering, Robot Type, Payload Capacity, End User - Global Industry Analysis and Growth Forecast to 2030" report has been added to ResearchAndMarkets.com's offering.

The revenue of the market will rise from $5.6 billion to $15.1 billion from 2019 to 2030, with the market demonstrating a CAGR of 9.9% from 2020 to 2030.

The rising requirement for automation in manufacturing and warehouse operations is pushing up the global demand for collaborative modular robotics systems. This is, in turn, boosting the sales of modular robotics systems all over the world, which is causing the surge of the global modular robotics market.

A key market driver is the rising usage of collaborative modular robotics systems or cobots as they are sometimes called, in the logistics industry. With the adoption of these robots, the operators can hand over the parts to the robots for performing the rest of the tasks, which results in faster production processes, lesser expenditure, and lesser floor space requirements. These robots are also being used for load carrying and transporting tasks, because of their versatility.

Another factor fueling the progress of the market is the rising requirement for automation in manufacturing processes. The increasing requirements for faster manufacturing times, high efficiency in production processes, and higher manufacturing outputs are augmenting the need for automation in industries. As a result, modular robotics systems are being increasingly used in various operations in factories and warehouses. When offering is taken into consideration, the modular robotics market is classified into software, hardware, and services.

Out of these categories, the software category is predicted to exhibit the fastest growth in the market in the future years, mainly due to the burgeoning requirement for software for checking the real-time functioning of a modular robotics system and the growing integration of IoT and AI in these robots. However, despite this factor, the highest market growth will be demonstrated by the hardware category, under the offering segment, in the upcoming years.

According to the forecast of the market research company this category will hold the highest revenue share in the market in the future. Depending on robot type, the market is divided into SCARA (selective compliance assistance robot arm) modular robotics systems, collaborative modular robots, cartesian modular robots, parallel modular robots, and articulated modular robotics systems, out of which, the articulated modular robotics system division will register the highest growth in the market in the forthcoming years.

Historically, the modular robotics market exhibited the highest growth in the Asia-Pacific (APAC) region and this trend will continue in the coming years as well, primarily because of the ballooning investments being made in electricals, electronics, and automotive industries, especially in the regional nations such as China, South Korea, and India. In addition to this, the rising usage of collaborative modular robotics systems in manufacturing operations is massively propelling the sales of these robots in the region.

Hence, it can be inferred from the above paragraphs that the sales of modular robotics systems will rise steeply throughout the world in the coming years, mainly because of the growing requirement for automation in factory, warehouse, and logistics operations and the rising usage of collaborative modular robotics systems in various industries.

Key Topics Covered:

Chapter 1. Research Background

1.1 Research Objectives

1.2 Market Definition

1.3 Research Scope

1.4 Key Stakeholders

Chapter 2. Research Methodology

2.1 Secondary Research

2.2 Primary Research

2.3 Market Size Estimation

2.4 Data Triangulation

2.5 Currency Conversion Rates

2.6 Assumptions for the Study

2.7 Notes and Caveats

2.8 Impact of COVID-19 Outbreak

Chapter 3. Executive Summary

Chapter 4. Introduction

4.1 Definition of Market Segments

4.1.1 By Offering

4.1.1.1 Hardware

4.1.1.1.1 Controller

4.1.1.1.2 Driver module

4.1.1.1.3 Manipulator

4.1.1.1.4 Sensor

4.1.1.1.5 Other

4.1.1.2 Software

4.1.1.3 Services

4.1.2 By Robot Type

4.1.2.1 Articulated modular robots

4.1.2.2 Cartesian modular robots

4.1.2.3 SCARA modular robots

4.1.2.4 Parallel modular robots

4.1.2.5 Collaborative modular robots

4.1.2.6 Others

4.1.3 By Payload Capacity

4.1.3.1 1-16.0 Kg

4.1.3.2 16.1-60.0 Kg

4.1.3.3 60.1-225.0 Kg

4.1.3.4 More Than 225.0 Kg

4.1.4 By End User

4.1.4.1 Industrial

4.1.4.1.1 Automotive

4.1.4.1.2 Electrical & electronics

4.1.4.1.3 Plastics & rubber

4.1.4.1.4 Metals & machinery

4.1.4.1.5 Food & beverages

4.1.4.1.6 Healthcare

4.1.4.1.7 Others

4.1.4.2 Commercial

4.1.4.3 Residential

4.2 Value Chain Analysis

4.3 Market Dynamics

4.3.1 Trends

4.3.1.1 Penetration of IIoT in industrial manufacturing

4.3.2 Drivers

4.3.2.1 Surging demand for automation in manufacturing industry

4.3.2.2 Growing demand for collaborative modular robots

4.3.2.3 Impact analysis of drivers on market forecast

4.3.3 Restraints

4.3.3.1 Complexity in design of modular robots

4.3.3.2 Impact analysis of restraints on market forecast

4.3.4 Opportunities

4.3.4.1 Use of artificial intelligence to improve productivity

4.4 Porter's Five Forces Analysis

Chapter 5. Global Market Size and Forecast

5.1 By Offering

5.1.1 Hardware, by Type

5.2 By Robot Type

5.3 By Payload Capacity

5.4 By End User

5.4.1 Industrial, by Type

5.5 By Region

Chapter 6. North America Market Size and Forecast

Chapter 7. Europe Market Size and Forecast

Chapter 8. APAC Market Size and Forecast

Chapter 9. LATAM Market Size and Forecast

Chapter 10. MEA Market Size and Forecast

Chapter 11. Competitive Landscape

11.1 List of Players and Their Offerings

11.2 Ranking Analysis of Key Players

11.3 Competitive Benchmarking of Key Players

11.4 Global Strategic Developments in the Market

11.4.1 Product Launches

11.4.2 Facility Expansions

11.4.3 Partnerships

11.4.4 Client Wins

Chapter 12. Company Profiles

12.1 Business Overview

12.2 Product and Service Offerings

12.3 Key Financial Summary

For more information about this report visit https://www.researchandmarkets.com/r/jb90fd

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Modular Robotics Markets, 2030 - Opportunities in the Use of Artificial Intelligence (AI) to Improve Productivity - WFMZ Allentown