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US Government Looks To Restrict Exports Of AI, Quantum Computing And Self-Driving Tech – WebProNews

According to The Washington Post, the Trump administration has floated a proposal that would limit high-tech exports to China.

Under the proposal, artificial intelligence (AI), robots, quantum computing, image recognition and self-driving tech would all be prohibited from being exported to China. This would include the tech that drives smartphone assistants, such as Siri.

If you think about the range of products this potentially implicates, thats massive. This is either the opening of a big negotiation with the industry and the public or a bit of a cry for help in scoping these regulations, R. David Edelman, the director of the Project on Technology, the Economy, & National Security at MIT, told The Washington Post.

At the very least, the administration seems intent on extending the restrictions to those countries that are already subject to U.S. arms embargoes, including China.

Needless to say, industry experts are not happy with the proposal. In a separate report by The Washington Post, individuals with the National Venture Capital Association expressed concern about how effective these proposed restrictions would be, versus the damage they would cause.

Almost everything is using AI in one way or another, said Jeff Farrah, NVCAs general counsel. So then is everything subject to export controls?

Farrah continued: Theres not a lot of faith from people in the industry that the government will get this right.

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News Content Hub – Five emerging technologies for the 2020s – Riviera Maritime Media

Light-fidelity

LiFi (or light fidelity) will transform how machines and seafarers communicate in the future. It is 10 times faster and far more reliable than wireless fidelity (wifi).

This technology, pioneered at the University of Edinburgh, UK, uses light waves instead of radio signals to transmit information. LiFi is therefore an ideal medium for real-time and deterministic wireless data communications.

Data connections with LiFi will offer consistent quality and transmission times in the microsecond range. It is suitable for mobile applications in maritime industrial robotics and automation technology a true enabler of autonomous ship technology for the future.

Satellite grappling

Maritime communications will be boosted by highly powered low-Earth orbit (LEO) satellites providing VSAT connectivity. However, a key limiting factor to constructing and operating LEO (as well as other satellite constellations of the future) will be their decommissioning and disposal.

Space junk will be an increasingly challenging issue for the satellite industry in the coming decade because of the risk of a collision impacting communications.

A technology has emerged to remedy the situation. Altius Space Machines is developing methods for orbital rendezvous, capture, de-orbit and active debris removal. This relies on developing grappling fixtures and capture techniques.

OneWeb is building these fixtures in to its LEO satellites as it prepares to commission 30 per month over the next two years.

These same fixtures could be used for satellite servicing, in-space propellant transfer and on-orbit assembly, offering the potential to prolong the life of existing satellites and the reliability of maritime communications.

Quantum computers

Computer power is a key enabler of data analytics and simulation, so the faster the better. Supercomputers have made significant advances through the last decade. But future developments will be in quantum computing.

This technology uses qubits as tiny stores of data and a fundamental building block of quantum computers. It is already being used in financial research and will be used in data centres and cloud services.

Googles tests have shown a 53-qubit quantum computing chip calculated a task in 200 seconds compared with 10,000 years for conventional supercomputers.

That could transform artificial intelligence, analytics and simulations for design, reducing port congestion and seafarer training.

Harmonic radar

In man overboard situations, conventional radar struggles to identify the casualty. Technology has been developed by German institutes and a radar manufacturer that will improve search and recovery to save lives.

It is almost impossible to disseminate a person in the sea using radar because of the clutter from sea wave reflections disturbing the radar signal.

But the SEERAD technology boosts the signal from a person in the sea over this clutter using harmonic radar. It uses two radar antenna on a ship operating on different frequency bands and a frequency-converting transponder integrated into a lifejacket.

The benchmark for harmonic radar systems was identifying the target at 1 km with a transmission power of 1,000 W. Tests in the Baltic Sea in 2019 demonstrated SEERAD could locate a dummy with a transponder at a distance of 6 km with a transmission power of only 100 W.

Nanotechnology

The future for anti-corrosion and biofouling will involve nanotechnology. This will offer a pioneering solution to coatings to prevent the adherence of biomass. Nanostructured coatings using nanoparticulate substances could replace conventional paints.

These substances form and interact when corrosion and biofouling processes begin. They maximise the anti-adherent or repulsive capabilities of a surface, eliminating the need for biocide. Nanotechnology could also be used for fuel additives and alternative power systems in the future.

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An instant 2nd opinion: Google’s DeepMind AI bests doctors at breast cancer screening – FierceBiotech

Googles DeepMind team showed that it can outperform trained radiologists in spotting cases of breast cancer, and that its artificial intelligence is capable of providing an independent, automated and immediate second opinion.

By using programs trained on 2D and 3D mammography images from nearly 30,000 women in the U.S. and the U.K., DeepMinds system was able to identify those that had their cancer confirmed within the following year via a tissue biopsy or subsequent X-rays.

Among patients from the U.S., the AI cut the number of people incorrectly referred for further screening with a false-positive result by 5.7%while also detecting 9.4% of potentially missed breast cancer cases. Published in Nature, the study said it surpassed the work of six independent physicians.

How ICON, Lotus, and Bioforum are Improving Study Efficiency with a Modern EDC

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Additionally, Googles researchers simulated its performance in automating the double-reading screening process employed in U.K. hospitals. By only bringing in a second human when the AI and the first clinician disagreed, they found the program was able to reduce the workload of the backup reader by 88%, while still maintaining the standard of care and providing on-the-spot feedback.

RELATED: DeepMind's health team makes the jump to Google with some NHS partnerships in tow

The studys authorssome of whom had been recently reappropriated into Googles wider healthcare efforts over the past yearsaid that the work of interpreting mammograms can still be challenging, with differences in patients breast density as well as variabilities among experts. The paper was the result of a collaboration with Cancer Research UK, Northwestern University and the NHS Royal Surrey County Hospital.

RELATED: The top AI lighthouse projects to watch | DeepMinds AlphaFold

Clinical trials will still be needed to judge its performance in a real-world setting, as the system did not include all the different mammography technologies in use today, and most images were obtained from a single manufacturers systemaccording to an accompanying editorial in Nature by Etta Pisano, chief research officer of the American College of Radiology and a professor at Beth Israel Deaconess Medical Center at Harvard Medical School.

In addition, it would be essential to develop a mechanism for monitoring the performance of the AI system as it learns from cases it encounters, as occurs in machine-learning algorithms, Pisano wrote. Such performance metrics would need to be available to those using these tools, in case performance deteriorates over time.

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Google’s DeepMind AI outperforms doctors in identifying breast cancer from X-ray images – Business Insider UK

Researchers from Imperial College London and Google Health this week published newresearchthat shows DeepMind's medical AI system can outperform doctors on identifying breast cancer from X-ray images,per CNBC.

Business Insider Intelligence

The study involved training the AI algorithm on 29,000 anonymized images from breast cancer screenings of women from the UK and the US, and the results were compared against the performance of radiologists from both countries. When compared with radiologists from the US, DeepMind's AI system reduced false positive rates (when an image is falsely identified as abnormal) by nearly 6% and false negative rates (when a cancer is missed) by over 9% meaning there were more than 2,600 cases where a radiologist did not flag breast cancer, but an AI might have.

DeepMind's study joins a growing body of research that demonstrates AI's potential to transform radiology and improve patient outcomes.The FDAapprovedmore AI algorithms for radiology between 2017 and 2018 than for other use applications,perthe Regulatory Affairs Professionals Society: For example,GEearned approval for its AI-powered portable X-ray capable of slashing time to diagnosis for a collapsed lung from nine hours using traditional methods to a mere 15 minutes.

And AI has also proven to be on par or better than medical professionals in terms of accuracy: A 2018studyfrom Stanford tested an AI algorithm for radiology and found that the system was capable of performing as well or better than a team of three radiologists on 11 of 14 tested pathologies, accurately diagnosing 420 X-rays in 90 seconds while the team of live doctors took several hours to do the same.

However, research has shown that AI performs best when it complements traditional, human intelligence rather than supplants it entirely.While some, like investment mogulVinod Khosla, believe radiologists are an endangered species in healthcare, a follow-upstudyfrom many of the same researchers involved in the 2018 Stanford study suggests that "human-in-the-loop" workflows that utilize AI as a time-saving triage tool perform better than either AI or human doctors on their own.

As DeepMind works to secure widespread adoption of its AI in healthcare, it'll likely want to do more to address patient privacy concerns surrounding its parent company, Google.Google has come under fire in the last year for its use of patient health data, most notably around its secretive "Project Nightingale" tie-up with major US health system Ascension: It surfaced in November of 2019 that Google was conducting research using personally identifiable patient information unbeknownst to Ascension doctors or patients.

Given that only20%of US adults say they'd trust AI-generated health advice and that there's a growingdistrustof big tech among US consumers, DeepMind will likely need to provide more assurances to hospitals and patients regarding data sharing practices involving sensitive patient health info if it wants to attract wary provider partners.

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Why the algorithms assisting medics is good for health services (Includes interview) – Digital Journal

As Digital Journal's Ken Hanly reported, Google has developed artificial intelligence aimed at helping doctors identify breast cancer more accurately and faster. The algorithm scans mammograms reduces false negatives by 9.4 percent (for U.S. patients) and 2.7 percent (for U.K. patients), according to experimental data.Then new technology comes from DeepMind and Google Health. The artificial intelligence is not only designed to reduce error rates, it also has the intention of enabling doctors detect breast cancer early. This is based on six radiologists assessing 500 randomly-selected mammograms.According to expert Joseph Mossel, CEO and co-founder of Ibex Medical Analytics: The Deep Mind algorithm utilities the same technology that we use deep learning to improve the accuracy and efficiency of diagnoses at a different stage of the cancer pathway."He notes that while "Googles technology is chiefly concerned with radiology which is the initial detection of whether cancer is present or not, his company's own "Second Read System looks at pathology which is the final diagnosis of what is suspected and any subsequent grading and is already used in a live clinical setting in several labs globally."Commenting on the potential benefits of artificial intelligence for healthcare, Mossel says: "Both systems address the same underlying problem a chronic shortage of trained staff which is putting an increased strain on the current system and is impacting the quality of diagnoses."Taking the U.K. as an example, Mossel notes: "Just 3 percent of NHS labs have enough pathologists, which means that 97 percent dont have sufficient resources. This can lead to error rates where benign diagnoses are actually cancerous as high as 12 percent; a truly alarming statistic."Extolling the overall benefits, Mossel concludes: "With more than two million new cases identified each year and as many as one in eight women diagnosed with breast cancer, it is a disease that impacts many lives. But with more people leaving the professions that help identify cancer than joining, it is vital that we empower those left with the tools to do their jobs as effectively as possible and AI technology can do just that.

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2020: The Rise of AI in the Enterprise – IT World Canada

This year looks to become the breakout year in Canada for artificial intelligence (AI) initiatives in the enterprise with the accelerated adoption of public cloud particularly in Western Canada.

Why? In the fall of 2019 British Columbia amended legislation as it relates to the use of cloud computing that will enable the public sector (inclusive of crown corporations, healthcare, etc.) to pursue digital transformation programs with modern technology. Alberta, for its part, has become one of Canadas leading AI hubs with numerous research labs and accelerators. For example, Google DeepMind, opened its first-ever international AI research office in Alberta. With this progress, Western Canada is poised for a year of innovation and digital transformation initiatives coming to fruition.

From an overarching data analytics perspective, in many of my conversations with CIOs, CTOs and senior IT Leaders across Western Canada over the past year, I found the viewpoints around the benefits of AI and machine learning (ML) to be quite consistent. Namely, the next decade will be about data-driven decision making. And, the feeling that those organizations investing time on assessing a variety of business use cases early and often will have the highest probability of success.

Even at this early stage of adoption within the enterprise, there is much to be learned from both the successful and not (as) successful attempts. Its important for CEOs to understand that the insights and learnings gleaned from their digital transformation teams and data science teams are the foundations of experience embrace it.

To highlight the rise of AI in the enterprise across Western Canada in 2020, along with providing insights from a variety of industries, I will be taking a holistic view and feature interviews with CIOs of provincial governments to heads of innovation in the oil & gas sector among others. Well tackle both the business benefits as well as the challenges many face by discussing the following topic areas:

Additionally, from the vendor landscape perspective, Ill look at the leading platforms helping organizations along their data analytics journey such as AWS, Databricks, Microsoft, Snowflake and ThoughtSpot among others. Well discuss top use cases across a variety of industries as well. For example, leveraging geospatial data for the public sector to equipment failure prediction for the oil & gas and energy sectors among others.

It will be an exciting year in Western Canada as many embark on their journey over the next decade.

Open Invitation If you have innovative AI and machine learning initiatives that you are interested in potentially being featured for an article, you may contact me via LinkedIn to discuss further.

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Lost messages? Here’s how to recover deleted WhatsApp messages on Android and iOS devices – Free Press Journal

The most popular online chat app WhatsApp has over 1.5 billion monthly active users globally. The app has introduced several new features in the last few months to keep the users hooked.

One of the most-loved features of the app is the one that allows all messages to be deleted at once without having to select them all. However, this feature also has many accidentally deleting important messages.

To tackle the problem, heres a simple guide on how to recover deleted messages on Android and iOS devices.

Local storage backup

Only Android users can use the local backup to restore deleted messages.

Go to file browser.

Go to WhatsApp > Database

Select the msgstore.db.crypt12 file and long-press it to rename the file to msgstore_backup.db.crypt12. This will prevent the file from being overwritten.

Rename the most recent backup file to msgstore.db.crypt12.

Go to Google Drive, click on the three verticle lines from the top-right corner.

Go to the backup folder and delete the recent WhatsApp backup.

Next, uninstall and reinstall the WhatsApp app.

While logging in, select the restore messages option and select local backup as you dont have a cloud backup anymore.

Select the msgstore.db.crypt12 file and tap the Restore button.

Cloud storage backup

Deleted messages can be restored from the cloud backup on Android and iOS devices.

Uninstall the WhatsApp app from your device.

Reinstall and login with the same phone number.

Select the restore messages option from Cloud storage while logging in.

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Top five trends in IT for this year – TechRadar

Edge computing is not a new technology: many companies have been successfully deploying it for a number of years now and reaping its significant benefits, not least through greater reliance on cloud services. But the advancements in the tech sector mean every IT department has to work with constantly moving goal posts.

So, as we leave 2019 and we enter 2020, the technology sector will be greatly impacted by the capabilities of edge computing. Not only this, but advancements in things like IoT, AI, and the growing threat of ransomware will change the way edge computing evolves in the coming years too.

Alan Conboy, Office of the CTO at Scale Computing.

Below are my five predictions on how the hottest tech trends will impact, and be impacted by, edge computing in 2020.

According to Statista, the global Internet of Things (IoT) market will explode from $2.9 trillion in 2014 to $8.9 trillion in 2020. That means companies will be collecting data and insights from nearly everything we touch, from the moment we wake up and likely even while we sleep. As evidence of this, technologists have seen that the rise of edge computing and IoT was accelerated by the birth of the iPhone as far back as 2007. These precursors to what we now see as edge computing have opened eyes across the industry to the possibilities of computing at the point of data creation and are accelerating as we move forward into 2020.

Seeing what Apple and others have achieved, we are going to see a much broader perspective on this ability to put reasonable amounts of compute into a tiny form factor and move that into dedicated functions. In 2020, as a result, we can expect to see evolutionary expansion in the IoT space, not revolutionary. It will continue to evolve, driven by a need for more efficient, more compelling, cost-effective solutions, with edge computing at the forefront.

We are living in a world that is increasingly data-driven, and that data is being generated outside of the four walls of the traditional data center. With 2020 approaching, organisations are taking a much deeper look at their cloud storage and overall usage and how much it is aiding the business. Cloud was originally positioned as the answer to all problems, but now the question is, at what cost?

More organisations are turning to hybrid cloud and edge computing strategies, turning to solutions that process data at the source of its creation. In 2020, businesses will rely on hybrid environments, with edge computing collecting, processing and reducing vast quantities of data, which is then later uploaded to a centralized data center or the cloud.

For a long time, the conversation around edge computing has been focused on hitting the right buzz words without actually addressing the customers needs. Everyone has forgotten that the customers objectives dont revolve around the latest technology; what they care about is that their business apps are online and working correctly. When catering to these businesses in 2020, technology partners have to remember to think about their needs and wants versus whats currently trending among IT professionals.

Edge computing is about running mission critical applications outside the data center. There are varying use cases, workloads, and needs within that envelope, but at the root of the issue is the need to run applications somewhere other than the cloud or data center. Customers want a simple solution equipped with the right technology to manage their IT and decrease the two biggest costs affecting IT departments: downtime and people.

While IT professionals are concerned with the conveniences of data centers, customers care more about how physical size, noise and power consumption will affect the quality of their business and productivity. In 2020, businesses offering edge solutions should worry less about marketing and focus on what edge computing actually is delivering the solutions your customers actually want.

Most artificial intelligence (AI) technology today relies on the cloud, and makes decisions based on the collection of data that is stored in the cloud it is accessing. However, this can cause latency as data has to travel to data centres and then back to the device. This can be problematic for technologies such as self-driving cars, which cannot wait for the roundtrip of data to know when to brake, or how fast to travel.

As a result of this, more organisations are turning to hyperconverged infrastructure (HCI) and edge computing to capture data at the source of creation, specifically to support high-performance use cases, such as AI. The implementation of HCI and edge computing in AI will see the industry reduce form factors, since HCI allows for technology to operate within a smaller hardware design. In fact, some companies have already announced that they will be launching HCI edge compute clusters that are no bigger than a cup of coffee.

By 2020, it is expected that 80% of all devices will have an AI feature. While the cloud has provided AI with the platform it needed to grow to the level of being available on nearly every technological device, the combination of HCI and edge computing will give AI the tools to evolve to the next frontier, with smarter and faster decision making for organisations in 2020.

The recent news cycle has been flooded with organisations from airlines to banks and hospitals, even entire local governments, falling victim to ransomware attacks. Threats such as these are evolving at an accelerated pace, and they will continue to become smarter, more lucrative and increasingly devious in 2020. Where before organisations may have believed they could not afford to modernize their IT infrastructure management and defenses, there are now more diverse options on the market.

As the malicious momentum of attacks snowballs into next year, businesses must realize that traditional legacy tools are not only slowing their digital journey down, but leaving them vulnerable to tactical and well-organised criminals. We will see organisations taking advantage of highly-available solutions, such as hyperconvergence and edge computing, that allow them to not only keep up with changing consumer demands, but deploy the most effective cyber defenses, disaster recovery, and backup.

The way organisations approach the aftermath of data being corrupted will likely change too, as insurance companies will begin to take an active role, not just in the recovery of data, but in the decision making when it comes to whether or not to pay the ransom demand. The overall cost of doing business will rise in conjunction with the growing threat of cyber-attacks, and every business should be bracing themselves for the impact.

Developments in these key areas of the IT industry are happening with perpetual force. With 2020 around the corner, it would be wise for businesses to start considering edge computing and HCI as those technologies that will enable their organisations to make better use of technologies like AI and IoT, and remain competitive.

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[Case Study] How This Maternity Hospital Chain Moved Its Technology Infrastructure To A Cloud Platform – Analytics India Magazine

In the current scenario, the healthcare industry is witnessing imminent problems arising due to the data crisis. Making the right and accurate decisions, getting real-time data insights, and complying to patients needs have become imperative for hospitals to survive in this competitive era. Here is one such organisation that overcame this problem right.

With operating a chain of more than 20 hospitals across the country, Cloudnine Hospitals aims at delivering maternity and neonatal care to hundreds of patients on a daily basis, and having a reliable model to handle the vast amount of data is of vital importance. The network of Cloudnine Hospitals is required to store enormous volume of patient data which is generated on a daily basis on an online archive, and therefore It became very crucial for the hospital to get complacent about data in order to provide a better service to its customers.

When asked, Jitendra Shrivastava, senior manager IT at Cloudnine Hospitals explains, how their organisation was growing at a rapid pace and how the data generated was acting both as a challenge as well as an opportunity.

Shrivastava recalls We were growing very rapidly. In 2006, we were just with one hospital, but by the end of 2016, we were with 10 or 12. We also never thought the data would grow at such speed, and thats why we had to put a stopgap in order to find a new technology to manage it.

As a maternity service provider, we had the mandate of the government to preserve the patient data for approximately a period of 7-21 years, which indeed raised the concern of how to preserve such a huge volume of data generated on a daily basis, in the form of scans, x-rays, lab reports, etc., he explained.

Now that the problem was detected by the hospital, another serious concern had arisen, that was of the selection of the right technology to mend the problem.

Cloudnine realised the importance of the right technology in order to have any sort of benefits. Unless the technology is readily available to the ground staff as well as doctors, the implementation would not add value to the business. Being a maternity hospital dealing with newborns and life-and-death situations, having data on the fingertips without any nanosecond lag for doctors, along with on-the-fly access of resources to the ground staff was on top priority while selecting a solution.

Since it was mandated by the government to restore patients records for a long period of time, Cloudnine wanted to build an infrastructure with heavy storage space, in order to store the enormous volume of data generated every day. However, such a massive upfront investment required to build the facility had become a significant challenge for the hospital.

With the nature of operations and the expansion plan of the hospital, another concern that came in the limelight was the scalability issue. Cloudnine has been constantly looking to expand to new locations and being a healthcare service provider, it did not want to invest heavily in internal IT resources. Rather, Cloudnine was looking for a third-party IT solution as a catalyst to help the hospital improve its service delivery.

Cloudnine was looking for a robust and scalable storage solution that does not consume huge resources. And, after approaching a number of vendors in the market, Cloudnine realised that most of the solutions available in the market require a huge upfront investment of several thousand dollars, which definitely wasnt the right option for the hospital.

Cloudnine then managed to find exactly the right answer with Hitachi Vantara and its IT partner, NxtGen.

Explaining the process, Shrivastava said, Initially we explored several traditional NAS or SAN storage options available in the market, but none of the OEMs was able to provide a solution correctly matching our requirements. And, thats when we found the solution offered by Hitachi and NxtGen the best, as it offered a flexible architecture with almost zero capital investment. Perfect for us.

He further added, NxtGen, our IT partner, has already been delivering cloud solutions to us since a long time, and therefore the choice was logical for us. Together, Hitachi Vantara and NxtGen have now been offering a highly scalable cloud storage platform with no upfront investments.

Hitachi and NxtGen proposed a core and edge model with HCP in NxtGen data centre at the core and all the 20 hospitals at the edge, which ended up having the requirement of minimal hardware investment. All we needed was a small server that goes into a standard rack at each centre, explained Shrivastava.

When asked Sanjay Agarwal, Technology Head at Hitachi Vantara about the solution, he explained, The solution set provided to Cloudnine included Hitachi Content Platform (HCP) with NxtGen Data Protection as a Service, along with Hitachi Data Ingestor (HDI) which acted as a local caching device.

Cloudnine agreed with the OPEX model without spending any unnecessary money. The model was then streamlined in such a seamless way that the organisation could enjoy the service as a monthly-package for three years and thereafter, assume ownership exclusively.

Agarwal further explained, The centralised storage provided by HCP not only reduced the data management complexity but also allowed efficient local data access. The HDIs installed at each of the branches of Cloudnine allowed convenient local storage without utilising much of the internal resources. The hospital is also benefitted from the cloud management service that covers round-the-clock security and software upgrades.

On the first phase, the migration started out with nine hospitals, which was later expanded to five more, as the solution started to develop its roots and the hospital staff started to get used to the change. Today, Cloudnine is aiming to progressively migrate the data to its other hospitals as well to get benefitted.

With HCP on NxtGen, Cloudnine was able to build an OPEX-based storage infrastructure that eliminated the CAPEX associated with building an in-house storage system. Also, since the data centre, networks and other aspects of the cloud services are managed by a third party, in this case, the OEM, the Cloudnine didnt require any internal resources to handle or manage them.

With the solution, the hospital staff started enjoying easy and in-depth access to data for providing greater service to expectant mothers. The patient-records were also secured and capped well for compliance requirements on retention and preservation. Cloudnine was able to be benefitted with all such capabilities in the most scalable way and also at a reduced cost. The scalable architecture was aimed at supporting the hospitals future expansion goals without incurring any additional expenditure.

Explaining that, Shrivastava said, We had two options to choose from the CAPEX and OPEX (operating expenditure) model. And, we chose the OPEX model wherein we dont have to spend anything on day one, and for three years, we would receive the service delivered, as a monthly package, and after three years we will become the exclusive owners.

Post the implementation of the solution, the monthly billing model ensured that Cloudnine is only charged for resources that have been utilised during the month. And, the future-ready infrastructure thus paved the way for resource optimisation and cost savings.

The solution not only improved the service delivery but also eliminated process delays due to poor management of records. To safeguard entire journey of expecting mothers, Hitachi Vantara and NxtGen offered a secure, private cloud, in which all of our patient records are kept private, said Shrivastava.

With the solution, Cloudnine was able to archive all our files with 20% compression, which is the industry-best practice to follow. And, even after the compression, we are able to deliver the reports to doctors with the same ratio and pixel quality, concludes Shrivastava.

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Get $30 off a year of Adobe’s Creative Cloud Photography plan – Macworld

Get $30 off a year of Adobe's Creative Cloud Photography plan | Macworld ');consent.ads.queue.push(function(){ try { IDG.GPT.addDisplayedAd("gpt-superstitial", "true"); $('#gpt-superstitial').responsiveAd({screenSize:'971 1115', scriptTags: []}); IDG.GPT.log("Creating ad: gpt-superstitial [971 1115]"); }catch (exception) {console.log("Error with IDG.GPT: " + exception);} }); Newegg's selling Adobe's Creative Cloud Photography plan for $90 if you know the right code.

Today's Best Tech Deals

Picked by Macworld's Editors

Top Deals On Great Products

Picked by Techconnect's Editors

Adobes products are some of the best in the business for photographers and designers, but getting everything you need for a full photographer-friendly suite can get a little pricey. Today, though, you can get a one-year subscription to the Adobe Creative Cloud Photography plan on NeweggRemove non-product link for just $90 with the code EMCUVWU26, dropping it down from a list price of $119.88.

This subscription will give you a years access to a solid lineup of image editing software, which can be used across devices for editing at a desk or on the go. Adobe Photoshop CC and Adobe Lightroom CC bring you plenty of editing capabilities, while Adobe Spark and Adobe Portfolio allow you to share your photos everywhere from social media to your own website. In addition, 20GB of included cloud storage will give you space to store all your creations.

If you want to work on your photography skills in the new year, this is a great way to get access to some awesome tools on the cheap.

[Todays deal: Adobe Creative Cloud Photography plan from Newegg for $90 with code EMCUVWU26Remove non-product link]

This story, "Get $30 off a year of Adobe's Creative Cloud Photography plan" was originally published by PCWorld.

Alexandria is a freelance deal hunter for the TechConnect editorial team.

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