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Securing Digital Identities with Help of AI New Path After Pandemic of 2020  

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By John P. Desmond, AI Trends Editor  

Organizations are looking to secure their data and identities with the help of AI,  as business models move online and increased cybercrime follows.   

The new era of identity authentication incorporates AI and biometrics in more sophisticated systems that make it more difficult for cybercriminals. Biometric data such as fingerprints help prevent identity theft, since criminals would not be able to gain access to information by only providing credentials.    

Deepak Gupta, Cofounder and CTO, LoginRadius

“In order to protect data, digital identities need to meet a stricter set of security regulations.” stated Deepak Gupta, Cofounder and CTO of LoginRadius, a cloud-based consumer identity platform, writing recently in Forbes. “Stolen identities can allow criminals to impersonate someone else and access secured resources,” he stated. 

On a network, AI and machine learning make it easier to implement algorithms that can identify fraudulent activities; they can spy the difference between normal and abnormal trends, so can identify actions that may be coming from fraudulent activities.  

While authentication with AI is still in an early stage, businesses can begin to implement it by adding intelligent adaptive authentication, using location and device fingerprints to identify the consumer, Gupta suggested. Also, smart data filters can identify fraudulent IPs, domains and user data. “AI has the power to save the world from digital identity fraud. In the fight against ID theft, it is already a strong weapon,” stated Gupta. 

Pandemic Accelerated Online Interactions, Pressuring Cybersecurity 

Deborah Golden, US Cyber and Strategic Risk leader, Deloitte, Washington, DC

With the Covid-19 pandemic increasing reliance on digital interactions, more focus was put on cybersecurity. “The pandemic accelerated the critical role digital identity plays in providing the foundation for building trust among a broad spectrum of stakeholders, whether they be consumers, employees, partners or vendors, governments, and civilians,” stated Deborah Golden, US Cyber and Strategic Risk leader at Deloitte, based in Washington, DC, in a recent interview in Security Magazine. “It’s how we can protect ourselves from data breaches, identity theft, data misuse, and other forms of fraud and cybercrime,” she stated. 

Organizations have an opportunity to leverage digital identities to build trust, by applying AI, machine learning and data analytics to detect unauthorized access to enterprise systems, and fraudulent consumer activity, she suggested. “By using AI and analytics to facilitate trusted interactions, organizations can distinguish themselves for their vigilance in protecting data and proactively mitigating risk,” she stated. 

In B2C markets, she recommended that organizations provide consumers with incentives to enroll their devices, such as messages emphasizing that enrolling will make interactions faster and more secure while keeping data private, and/or points in a loyalty program.  

“Digital identity allows organizations to track and monitor how customer data, preferences, and consent are cataloged, shared, and used internally,” Golden stated.  

Organizations can use the identify data to make it easier to align user access to different data classifications, use policies and permissions. Anecdotal evidence shows that companies with digital identity programs get better results in security audits than companies that do not, she suggested. 

Secure digital identity techniques include passwordless authentication methods, such as proximity-based authentication, and digital identity behavior analysis. This can detect and prevent, for example, bot attacks, session hijacking and attempts to use stolen credentials. 

Telehealth Option Accelerated in 2020, Creating More Exposure 

Telehealth, the delivery of medical services by a professional online, grew dramatically in 2020 due to the pandemic. That put consumer confidential medical information more over the air into the electronic health record system of the providers, each with its own secure access system. These secure access systems posed challenges for many patients, and increased the volume of work for IT professionals at the medical institutions..  

“On our end, we saw a huge number of patients who struggled,” using the authentication portals to the telehealth systems, stated Adam Silverman, chief medical officer for Syllable, a healthcare AI services, in a recent interview in PYMNTS.com.  The difficulties created obstacles to care.  

“Health systems now were not only being inundated with people calling to schedule a video consultation, but… they were being flooded on their IT help desks by the same patients who could not log in to the portal in order to obtain care, and so it sort of reinforced this constant struggle between privacy on one hand and access or interoperability on the other,” Silverman stated.  

Health care consumers are concerned about whether they can trust the system where they submit their confidential credentials, and what companies have access to their personal medical data, suggested Vig Chandramouli, principal of Oak HC/FT, a venture capital firm focused on healthcare information services. “Every day in the news, you now read about some ransomware attack or cybercrime or see how some pipeline is shut down or some hospital was held hostage, and these are all very possible and increasingly more likely things going forward,” said Chandramouli in the PYMNTS.com account.  

He also recommended a move away from username and password authentication that have become “more frustrating and less secure” in favor of more advanced technologies, such as biometric identification systems incorporating fingerprints, iris scans, and facial images. “That would certainly improve their experience and would probably be less expensive, because people would stop calling the IT help desk, calls that take 20 to 30 minutes to try to complete and help somebody change the password, stated Chandramouli. HC/FT is an investor in Syllable.  

Retail and digital payments industries could have lessons for health care providers in how they identify customers online, which might require some retooling of operational systems on the back end. “That is where AI really can be very beneficial in monitoring the networks and identifying signals or patterns that are abnormal for a given persona,” stated Silverman.  

Expert Expects More Healthcare Fraud From 2020 Will be Uncovered  

Many observers expect many incidents of healthcare fraud that happened in 2020 but not yet known will be coming to light.  Jacques Smith, a partner at law firm Arent Fox and a member of the firm’s Business Loan Task Force, suggested that in a recent account in Healthcare Finance that fraud was likely more widespread than usual in 2020, but it was not a priority for the previous presidential administration.  

The chaos caused by COVID-19, said Smith, encouraged fraudulent behavior by some opportunists that seems to have run the gamut from PPE fraud to Medicare reimbursement shenanigans.  

“During the prior administration, there was a rumor that if you only apply for a million (dollars) or two, the government wasn’t going to have any oversight over that money,” Smith stated, adding that it is not the case. “We’ve seen investigations already for small amounts under $2 million. Quite a number of criminal cases are expected,” he stated.  

Senator Chuck Grassley, R-Iowa, has shown interest in amending and modifying the False Claims Act so it can have a greater enforcement arm, as well as stronger whistleblower protection over the next four years. Greater incentives for whistleblowers could open the floodgates. 

“It’s a misnomer that last year was a down year,” stated Smith. “There were more cases last year. It was a record year in filings, just not recoveries.” That implies that prosecutors will have a busy year wading through the backlog of cases. 

Read the source articles and information in Forbes, in Security Magazine, from PYMNTS.com and in Healthcare Finance 

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Source: https://www.aitrends.com/security/securing-digital-identities-with-help-of-ai-new-path-after-pandemic-of-2020/

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Consider the safety aspect of collaborative robots

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I’ve talked about collaborative robots many times, but this time, let’s touch on a little more in-depth content. Among the collaborative robots, it is dealing with danger. How to minimize the risk. It is a supreme proposition for robots.

The collaborative robot itself is basically a highly safe robot. That should be it. As you can see from the name of collaboration, you can work with people. Consider the safety aspect of this.

[Sensors] For safety, collaborative robots are usually equipped with sensors. Since we work close to people, we always need to know where they are. So there is the sensor. By installing this, you can stop the operation immediately when a person approaches. However, instead of switching the unit on and off, step-by-step control such as slowing down the operation is also possible. This flexibility is of great significance at any manufacturing site.

[Flexibility] Safety and flexibility are inseparable. Safety can be ensured because of the flexibility of programming and adjustment. Basically, cobots are easy to give instructions. In other words, if the requirements or work required on the production line change, the settings can be changed each time. Although some knowledge is required, it is considerably easier to operate and adjust than conventional robots.

[Efficiency] Efficiency and safety are usually in a trade-off relationship. To be sure, too much safety comes at the expense of efficiency. But for cobots, this doesn’t necessarily mean giving up. Slow down or stop only when you sense danger. When a person leaves, they immediately start to act. By switching quickly in this way, waste can be minimized.

Collaborative robots have both safety and performance. Demonstrate strength in every field. It is because we can ensure safety that the power of human resources is drawn out, and ultimately the improvement and the true value at the manufacturing site are demonstrated. There is no reason not to pay attention to this. First, identify the greatest risk in the field. Only then can you think about what dangerous workarounds you can implement. And let’s apply this scenario to a collaborative robot. This completes the general safety aspect. Another strength is that it supports adjustments that accompany daily observations.

Source: Plato Data intelligence

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10 Universities Dedicated To AI Research

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Artificial Intelligence (AI) has developed into a technological phenomenon that has spread through various industries. From data analytics to deep learning, to big-data mining, and so on, AI has transformed technology for the better, it seems.

So, if you want to join this lucrative industry in working with AI, consider getting a degree from an accredited college or university. Here are 10 universities that are dedicated to AI research: 

Cambridge University

Cambridge’s Department of Engineering is one of the most sophisticated schools in the world. From constant research to ongoing developments, students not only learn about AI, but also develop their foundational roots in disciplines that allow them to work hands-on with technology. With a large network, students can share and develop what they’ve learned.

Carnegie Mellon University

Carnegie Mellon University invites students to learn about AI. With more than 400 startups linked to this prestigious university, as well as endorsements and backing from companies like Argo AI, Aurora, and Uber, CMU is all about turning novice engineers into the driving force that brings AI further and further into the spotlight.

Columbia University

Columbia University also shares its enthusiasm for engineering. From healthcare to electrical engineering, CU understands the complexities and roles that AI plays in such industries. With acclaimed engineers and scientists like Gordana Vunjak-Novakovic, Christine Hendon, Tal Danino, and Elham Azizi assembling the roundtable of tech-based discussions in conjunction with Columbia Engineering magazine, they share their inputs on AI in healthcare and electrical engineering.

Harvard School of Engineering and Applied Sciences

The Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) exposes students to realities concerning technological advances, including AI. Since 1847, Harvard has been the champion of engineering and applied sciences. And now, with AI, the school continues to be the champion for engineering excellence, especially in a time when AI is growing more and more in popularity.

Massachusetts Institute of Technology

MIT takes pride in America’s industrial revolution. The school understands that technology has many avenues that people can pursue – AI included. With rising talent and jobs to fill, MIT is committed to growing the AI community by offering relevant disciplines, and by allowing its students to work with technology through artistic and inventive ways.

Oxford University

Oxford offers Engineering Science, which is made up of various subjects like microelectronics and offshore oil platforms. With amazing studies in engineering:

Biomedical

Chemical

Civil

Electrical

Information, AND

Mechanical

… students will learn how AI is at the forefront of engineering. 

Stanford University – School of Engineering

Stanford takes AI seriously through research and innovation. Here, students will know the going-ons of technology in the 21st century, along with the major challenges that surround this generation. By studying various backgrounds, beliefs, and perspectives, students will learn to incorporate what they’ve learned about AI into the real world.

University College London

With global data networks, renewable energy, driverless vehicles, etc. on the rise, UCL is committed to teaching students about the high-tech world, and how AI is involved behind the scenes. From mathematics to physics to engineering and computer science, UCL ensures that students will learn the full extent of this growing technological phenomenon. 

University of California-Berkeley

UC Berkeley’s Department of Industrial Engineering and Operations Research has a new professional degree program in the College of Engineering. Students will learn about optimization, data analytics, risk modelling, simulation, and so on, which are vital to understanding the complexity of AI. UC Berkeley is there to teach students about the various scenarios that AI is most needed – healthcare, transportation, finances, the works.

University of Texas (Austin) – Cockrell School of Engineering

Finally, UT Austin’s Cockrell School of Engineering is focused on growing tech trends like AI. Here, students will learn about the leading pioneers of the high-tech world, and how AI is cementing its greatness in such a world. Students will eventually be subject to an ever-growing network of opportunities in AI, including jobs, internships, etc. from various companies like Apple, IBM, Dell, Samsung, Google, and many more. 

Conclusion

So, you see, AI is a desirable skill to obtain. So, when you consider these 10 universities, you’ll know just how popular AI is, and what benefits you’ll get from attending one of them. Knowledge in AI opens many doors, so why not open the door to any of these wonderful schools today? 

~ Christina Lee is a writer and editor at Studydemic. As a content writer, she writes articles about technology, coding, and engineering.

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Source: https://www.aiiottalk.com/universities-dedicated-to-ai-research/

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How Might Technology Help Your Business? Three Ways Explained

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It’s challenging to keep up with the latest advances in technology, especially if you’re not a natural techie like most people. Instead of following every new technology craze, I propose that you focus on context, relationships, and intelligence within your company so your corporation can grow and achieve results. However, depending on the nature of your business, you should examine whether having the most cutting-edge technology can benefit your company and its products or services because having the best technologies incorporate within your business may not contribute towards your end goal.

In addition, we will look at three ways in which technology might help you enhance and develop your business within this article. 

Using Technology to Promote Your Business

You may use technology to advertise your business in a variety of ways. For starters, you are already promoting your business by having a website, and hopefully, you’re being active on your website and as well as all your relevant social media platforms. 

You can also use technology to advertise your business by conducting video marketing strategies, a lot of companies tend to make short videos because they’re known to grab people’s attention far easier than a paragraph about a product. 

In hindsight, there are so many online strategies to advertise your business and to make your corporation thrive. 

Enhanced Security

As technology advances, more businesses seek to incorporate the latest elements of technology into their business models in order to stay ahead of their competitors and stay on top of their respective industries.

As cybercrime becomes more widespread, more websites are attacked. Technology has greatly enhanced security measures, such as firewalls, password locks, and admin controls, all of which are difficult to penetrate. 

Almost every online business will put security first because they understand how crucial it is to protect their customers’ personal information and data. For example, online banks have the highest level of security because they deal with money and vital information about the public, one more example would be the casino gambling industry, just like these Curacao casinos they have the highest level of security available and that is because of the advancement of technology. 

Productivity Improvements

Employees now have access to a variety of productivity tools that help boost overall productivity, which means you’ll receive more work done by your staff and hopefully increase the company’s overall earnings and income. We can now use project and task management tools to stay on top of our responsibilities, as well as e-mail management tools to stay organized with the daily messages we receive on a day-to-day basis.

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Source: https://1reddrop.com/2021/09/21/how-might-technology-help-your-business-three-ways-explained/?utm_source=rss&utm_medium=rss&utm_campaign=how-might-technology-help-your-business-three-ways-explained

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Coinbase Halts Plans for Crypto Lending Product Amid SEC Pressure

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Ethereum started a major decline below the $3,200 support zone against the US Dollar. ETH price traded as low as $2,807 and it is now attempting a recovery wave.

  • Ethereum started a fresh decline below the $3,300 and $3,200 support levels.
  • The price is now trading below $3,200 and the 100 hourly simple moving average.
  • There is a key bearish trend line forming with resistance near $3,020 on the hourly chart of ETH/USD (data feed via Kraken).
  • The pair could a steady recovery wave if there is a close above $3,050 in the near term.

Ethereum Price Corrects Losses

Ethereum started a major decline from the $3,500 resistance zone. ETH traded below many important support zones near $3,300 and the 100 hourly simple moving average, similar to bitcoin.

The bears gained strength below the $3,200 support zone. Finally, ether spiked below $3,000 and extended its decline. A low is formed near $2,807 and the price is now correcting losses. There was a break above the $2,920 and $2,950 resistance levels.

The price recovered above the 23.6% Fib retracement level of the recent decline from the $3,455 swing high to $2,807 low. An immediate resistance on the upside is near the $3,020 level. There is also a key bearish trend line forming with resistance near $3,020 on the hourly chart of ETH/USD.

Ethereum Price

Source: ETHUSD on TradingView.com

A close above the $3,020 and $3,050 levels could start a decent recovery. The next major resistance might be near the $3,130 level. It is near the 50% Fib retracement level of the recent decline from the $3,455 swing high to $2,807 low. A clear break and close above the $3,130 level could start a steady increase. The next major resistance sits near $3,300.

More Losses in ETH?

If ethereum fails to correct higher above the $3,020 and $3,050 resistance levels, it could start another decline. An initial support on the downside is near the $2,960 level.

The next major support seems to be forming near the $2,900 level. A downside break below the $2,900 support zone could lead the price towards the $2,800 zone. The next major support is near the $2,750 level, below which ether price might decline towards the $2,640 support zone.

Technical Indicators

Hourly MACDThe MACD for ETH/USD is slowly losing pace in the bearish zone.

Hourly RSIThe RSI for ETH/USD is still well below the 50 level.

Major Support Level – $2,960

Major Resistance Level – $3,050

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Source: https://www.newsbtc.com/analysis/eth/ethereum-confluence-resistance-3050/

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Source: https://coingenius.news/coinbase-halts-plans-for-crypto-lending-product-amid-sec-pressure-7/?utm_source=rss&utm_medium=rss&utm_campaign=coinbase-halts-plans-for-crypto-lending-product-amid-sec-pressure-7

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