Category Archives: Technology

Cognitive Computing Set to Exceed $13B by 2020

Artificial Intelligence

 

A new industry analysis forecasts cognitive computing to have revenues of nearly $14B by the end of the decade. What exactly is cognitive computing, and why is it becoming such a prominent computing approach?

  • What is Cognitive Computing?
  • Why is Cognitive Computing Becoming so Prevalent?
  • Automated Reasoning to Grow at 37% Annually
  • North America the Largest Cognitive Computing Region
  • Summary: Key Research Highlights

A study by industry analyst Allied Market Research (AMR) projects that the cognitive computing market will hit $13.7 billion in global revenue by 2020, meaning that its CAGR between 2015 and 2020 would be a stunning 33.1%.

What is Cognitive Computing?

As its name suggests, cognitive computing is a subset of artificial intelligence. It is a form of computing that simulates aspects of the human mind. Systems are designed so that they are capable of learning. Specific methods that are used in these settings include natural language processing, data mining, and pattern recognition. The objective of this form of computing is to allow IT automation to problem-solve without the need for human intervention.

Machine learning algorithms are set up to allow these systems to work, explains Margaret Rouse in TechTarget. “Such systems continually acquire knowledge from the data fed into them by mining data for information,” she says. “The systems refine the way they look for patterns… as well as the way they process data so they become capable of anticipating new problems and modeling possible solutions.”

This IT area is used to perform artificial intelligence within virtual reality, robotics, neural networks, natural language coding, and expert systems.

Why is Cognitive Computing Becoming so Prevalent?

The broad recognition and adoption of this AI field has been in line with other aspects of the third-platform technological revolution (cloud, mobile, big data, and social). Cognitive computing has been spurred by the rapid growth of cloud hosting, big data, and the prioritization of speed.

Related: At Superb Internet, we designed and developed our cloud hosting infrastructure over the course of six years. The tens of thousands of hours we put into research, testing, and troubleshooting resulted in a true 100% high-availability cloud. See our Cloud Benchmark Report.

“Cognitive analytics have optimum capabilities in handling huge volumes of data and facilitate the quick transitioning of manufacturing footprints and technologies,” notes AMR. “The increasing adoption of cognitive computing in business applications has led to significant improvements in the productivity and standard of operations in numerous organizations.”

Automated Reasoning to Grow at 37% Annually

To understand the cognitive computing market, the report by AMR segments the field into technology, applications, end users, and modes of deployment. Technology is subdivided into information retrieval, automated reasoning, machine learning, and natural language processing. The applications are subdivided into various industries, such as healthcare, security, and BFSI (banking, financial services and insurance). The end users are categorized as sizes of businesses: SMBs and enterprises. Modes of deployment are public cloud and on-site infrastructure.

The top form of technology in 2014 was natural language processing. It represents the lion’s share of the market with 40%, or 2 out of every 5 dollars spent, and will continue to be the biggest money-maker moving forward. However, there is another huge chunk as well: machine learning, which represents 30%. Automated reasoning is currently smaller but is expected to grow at a 37% CAGR during the forecast period; computational biology is a primary application for that segment.

In terms of applications, the two top industries are healthcare and BFSI. Healthcare alone accounted for $745.1 million in revenue in 2014, which was approximately 30% of the market. According to AMR, “[t]he growth in the segment is driven by medical imaging technology,” such as “the ability of cognitive analytics to help physicians and nurses in analyzing mammogram images and detecting suspicious areas that indicate potential abnormalities.”

North America the Largest Cognitive Computing Region

The global region that has the most early-adoption of cognitive computing apps is North America. Measuring $1.06 billion in 2014, the continent is projected to continue as the leading region through the end of the decade. Europe is second. Also, Asia-Pacific will likely be a big market because of fast cloud growth in the region’s SMEs.

Companies such as Accenture, PwC, and Deloitte primarily use cognitive computing internally, for employee training and to increase workplace efficiency. Within healthcare, the computing method is used to glean a better understanding from health records.

Summary: Key Research Highlights

In summary, here are five top findings of the cognitive computing study:

  • Growth will accelerate due to expansion of unorganized big data within healthcare, finance, security, and IT/telecommunications.
  • The highest-revenue technology is natural language processing.
  • Highest adoption through 2020 will be in healthcare, retail, and finance/insurance.
  • The top region for these applications is North America, with 41.6% of worldwide revenue in 2014.
  • “Asia-Pacific and LAMEA are expected to be the most lucrative markets in terms of growth,” reports AMR, “owing to the developments in the healthcare and the insurance sector along with the growing adoption of advanced technologies.”

Cloud Computing: Could it Save a Child’s Life (Part 2 of 2)

Heartbeat

<<< Go to Part 1

  • Power of Cloud in Medicine (cont.)
  • Project to Save Kids’ Lives with Cloud

Power of cloud in medicine (cont.)

Implementing the cloud is becoming increasingly popular in the pharmaceutical industry. According to James Staten of Forrester, almost all drug firms are using cloud – at least for research and development. The most obvious primary driver for that, he says, is its cost-effectiveness.

Additionally, though, using the cloud makes it much easier for everyone on a team to work in concert, with all drafts saved in real-time. Sage Bionetworks President Dr. Stephen Friend points out that it’s not just coworkers and affiliates who want to collaborate with their data and concepts actually, but competitors.

That’s because there is a shared concern with cutting costs as much as possible. When everyone decides to throw their information into one pot, it means all companies are able to reduce the financial vulnerability associated with these densely rigorous projects.

It isn’t just drug and other medical companies that are being aided by this technological revolution; it’s helping patients. For instance, Pathwork Diagnostics is a healthcare outfit that is storing a massive amount of cancer biopsy data on cloud servers, notes Staten, which means faster diagnosis and a higher chance of survival.

When tissue comes in from a physician who is unsure of the specific type of cancer, “they can put that single sample into their database on the cloud,” he says, “and, within less than a day, come back with a high-probability diagnosis of what kind of cancer that tissue sample is.”

Getting the kind of cancer pinpointed immediately means that the clinic can shift rapidly into the best possible treatment.

RELATED: In order for any idea to be implemented in the cloud to its full potential, it’s important to remember that it’s not really “the cloud” but “the clouds.” Especially if lives are on the line, you want to make sure your cloud infrastructure is built using the most advanced equipment and techniques. At Superb Internet, we use distributed (i.e. not centralized) storage to avoid any single point of failure for optimal reliability; and InfiniBand (i.e. not 10 Gigabit Ethernet) so that no packets are ever lost, guaranteed. See our cloud plans.

Project to Save Kids’ Lives with Cloud

These three statistics on the vulnerability of young kids around the world really are quite shocking:

  1. More than 6 million kids aged 4 or below die every year from causes that could be prevented, according to UNICEF;
  2. Almost 20,000 boys and girls in that low age bracket die daily of diseases that could be avoided.
  3. The majority of poor, non-industrialized countries have approximately 1 doctor per 1,000 people, compared to 3-6 doctors per thousand in an average “first-world” nation such as the US or UK.

For anyone with compassion, these numbers are heart-breaking even if they seem overwhelming. Doctors will often dedicate pro-bono time to finding solutions for this incredible and ongoing humanitarian crisis.

One such project is OPENPediatrics, explains Manzoor Farid in Thoughts on Cloud. This project is a platform that uses the cloud “to deliver education and information across a global community of medical practitioners who treat critically ill children,” he says. “It is sponsored by Boston Children’s Hospital in collaboration with the World Federation of Pediatric Intensive and Critical Care Societies.”

There is a broader issue that this project and others like it are able to address: leveling the playing field in terms of the amount of knowledge doctors can access worldwide. Just like with the drug companies, everyone is able to benefit from information being easily accessible in the same place.

To better understand what things look like in action, here are four specific components of this particular system designed to help children survive potentially life-threatening illnesses:

  1. A social app that allows doctors to contribute and comment on opinions and findings
  2. Articles and other content on pediatric specialties to more broadly spread that expertise
  3. How-to videos of sophisticated therapeutic methods
  4. Treatment simulators so that doctors can rehearse and practice the process of treatment digitally before carrying it out in real life.

The image of cloud is fluffy and light, but virtual projects like this one are anything but, notes Traci Wolbrink, MD, associate program director for OPENPediatrics. “All around the world there are children who are critically ill,” she says, “and unless you provide the right care at the right time in the right way, these children will die.”

When we talk about technology, it’s easy to get caught up on the intricacies of the back end – to think of it in terms of machines and wires and coding. As indicated by this example, cloud computing is a perfect fit to bring together experts from different fields, and integrate their ideas and information. That way a gap in knowledge doesn’t mean an infant or toddler is unable to survive just because the doctors in their vicinity don’t have access to the most powerful and up-to-date information.

Cloud Computing: Could It Save a Child’s Life? (Part 1 of 2)

Heartbeat

Cloud is often discussed in terms of its basic selling points for business: how much more efficient and productive it can make an organization. However, cloud computing is having a profound influence beyond business, on our way of life. In fact, this technology can save lives. Let’s look at its use in healthcare and how one children’s hospital is leveraging it.

  • Technology that Could be a Life-Saver
  • Power of Cloud in Medicine

 Technology that Could be a Life-Saver

Why is the technology of cloud computing so exciting? On a broad level, it’s great that businesses are better able to scale, use big data efficiently, and affordably access a highly secure and reliable infrastructure.

The cloud is based on a time-sharing model of computing that was popular decades ago, when people didn’t have their own computers. Now companies are increasingly realizing that the same model is preferable to conventional dedicated computing. What firms are able to achieve with the cloud is to share resources across many disparate businesses. That ends up saving money for everyone through economies of scale, notes cloud computing author David Linthicum. “The value of time share and the core value of cloud computing are pretty much the same,” he says, “only the resources these days are much better and more cost effective.”

However, the way in which cloud is really exciting is as something that can really alter our lives. It’s interesting to consider how the speed and agility of cloud could change the world. It’s powerful to realize it could possibly save a child’s life.

The cloud allows for more rapid development, better insights on your data, and more easily integrated access by multiple users (internal and potentially external to an organization). Furthermore, it also makes it possible for doctors and other researchers to set aside the challenge of establishing an infrastructure and simply get to work looking for stronger understandings of disease and new, better treatments.

Let’s look at the cloud in action: its implementation at Seattle Children’s Hospital.

Power of Cloud in Medicine

The incredible size and speed of cloud are making it simpler and more affordable for research teams to zero in on new treatments and pharmaceutical medications.

Assessing datasets that would previously have taken years and millions in funding now can be done almost immediately, via the elasticity of cloud (its ability to scale with you to meet your changing demand). “Companies can rent massive computer resources by the hour, and the cost is relatively little,” notes NPR. “The ability to analyze vast amounts of data in this way is changing lots of industries — including health care.”

Dr. Michael Cunningham, who heads the craniofacial center at the Seattle Children’s Hospital, works with infants whose skulls solidified too early. When that happens, a disease called craniosynostosis, the shape of the head becomes unusual and pressure within the skull is amplified. Pressure within the skull threatens the health of the brain.

Researchers had previously posited that craniosynostosis results from a problem in bone cells’ ability to talk with each other. However, Cunningham wanted to dig deeper on the cellular level. By running sophisticated analytic algorithms in the cloud, Cunningham and his colleagues were better able to pinpoint the qualities of cells that were common among these patients.

That was a major leap forward for the field. It’s essentially the first clue in terms of finding the root cause of this tragic condition, says Cunningham.

Knowing the cause in turn allows researchers to develop stronger treatments.

“Aided by cloud computing, researchers crunched, analyzed and sequenced massive amounts of information — something Cunningham could not have done on his own,” explains NPR, summarizing why the cloud is so popular. “It would have been far too expensive and taken too long.”

RELATED: Keep in mind that not all cloud computing is created the same. At Superb Internet, our cloud architecture is built using distributed rather than centralized storage, and InfiniBand rather than 10 Gigabit Ethernet. These two strategies give us no single point of failure and guaranteed always-zero packet loss. See our cloud plans.

Using an infrastructure-as-a-service provider to immediately access virtual cloud servers and adaptively get the resources they need at any given time, drug companies are able to operate as cost-effectively as possible.

That’s important to pharmaceutical firms because drug discovery is a huge building block of their industry. Single projects will sometimes require running an algorithm on tens of millions of different chemical compounds.

The reason cloud is so successful for these types of situations is similar to many other business scenarios. People want to be able to instantly access a massive influx of raw computer power, without setting up machines – almost like they are tapping into the IT grid. Of course people want to avoid worrying about purchasing equipment, storing it, cooling it, and providing its power. That’s a headache.

A typical project running through all that chemical information to gather insights lasts two or three hours and is not cost-prohibitive. In fact, the cost of cloud computing is one of its other main selling points. Referring to one chemical data project that ran through 21 million compounds, NPR notes that “if the company had tried to do this in-house, it would have had to spend millions on computers, and the job might have taken years to complete.”

 

>>> Go to Part 2

Data Science “Fails” to Avoid

Fail

Data scientists are getting paid huge salaries, presumably to infuse their businesses with insight and allow stunning differentiation from competition. However, many organizations aren’t using this field to its full potential.

  • Fail #1 – Too Much Data, Not Enough Science
  • Fail #2 – Lack of Clearly Established Goals
  • Fail #3 – Chasing After Leprechauns
  • Fail #4 – A People Problem
  • Fail #5 – Thinking it’s Just a Trend
  • Fail #6 – Demanding Black and White

We can all agree that the era of data science is in full swing. If we need any further evidence of that truism, we can look at the high salaries companies are willing to pay to specialists. For instance, in Australia, the average data scientist now makes $200,000 – the equivalent of $146,000 in USD – according to a report from data intelligence consultancy Which-50.

Although business leaders know that having experts who are focusing their efforts on data analytics is increasingly critical, companies still are not fully capitalizing on their data science investments. Nearly as many analytic experts say that their business is not making full use of their capabilities (37%) as say that their role is fundamental to their firm’s competitive advantage (40%).

Part of the problem is the chain of command. “Executive level understanding of data and analytics’ was cited as analytic professionals’ biggest challenge in converting insight into action (47 percent),” notes Which-50.

What else is keeping businesses from thriving with their data science objectives?

Fail #1 – Too Much Data, Not Enough Science

Business is obviously fundamentally concerned with capital, but you can’t profit from data science without using basic scientific principles.

When you approach data science, in other words, you need to root out any potential bias. You come up with an objective and a hypothesis – basically question and possible answer. What do you want to know, and what do you suspect is true?

Furthermore, you need to make sure that your data is of high enough quality that you aren’t being misled.

Fail #2 – Lack of Clearly Established Goals

It’s important to align your data accrual and analysis process with business goals. Otherwise, strong ROI will often be elusive.

Above, the issue of leadership was cited as a challenge. However, data scientists often are out of sync with the business mission, notes Data Science Association president Michael Walker. “I see a lot of data scientists collecting everything without thinking about the business their client is in, the data they have now, and the data they’re going to need to do a better job,” he says.

Fail #3 – Chasing After Leprechauns

Everyone wants to hire that diversely knowledgeable data scientist, the leprechaun who might offer you some of his pot of gold. However, most data analysts have niche expertise.

Any project that works with big data should be considered a group effort. Disappointment will typically result from expecting a single person to establish insight. Some people will be better at experimental design, while others will be better at coding, and others will have an incredible grasp of probability theory. Combine and conquer.

Fail #4 – A People Problem

Long gone are the days when someone could casually describe themselves as an “Internet expert.” However, today the guru du jour is the data scientist. Part of the problem is that someone might technically have a “data science” degree, but all it amounts to is a marketing ploy by their university, notes Kennesaw State University data science PhD director Jennifer Priestley.

“You have a lot of programs that yesterday were operations research and today they’re data science,” she says, “or you had an MBA and now you have an MS in analytics or data science, but it’s the same curriculum.”

Fail #5 – Thinking it’s Just a Trend

Although there is a lot of hype surrounding data science and a lot of charlatans popping up like prairie dogs, being intelligent with data is becoming increasingly important.

Even the data itself is different, notes Priestley. “Technology enables us to treat audio, video, and text in the same way we have treated numbers like age and income, historically,” she says. “This is a sea change in the way businesses operate.”

Fail #6 – Demanding Black and White

To get back to probability theory, you have to embrace the idea of directing yourself toward what is probably correct. That’s the nature of data science. Executives often want to know what they need to do in order to get a certain result, but the best way to leverage data is to understand there is gray area and make reasonable educated guesses.

Although that level of ambiguity is an acceptable and necessary part of data science, it should not be part of cloud hosting. At Superb Internet, unlike many providers, we never oversell our cloud. Plus, we use the best technology: distributed rather than centralized storage (no single point of failure) and InfiniBand rather than 10 Gigabit Ethernet (always zero packet loss). See our 100% guaranteed cloud hosting plans.

16 Pointers to Make it Developing Mobile Apps

Apps

These 16 tips can help you avoid missteps when you start developing mobile applications for iOS or Android. Most of them are generally applicable to development.

Many entrepreneurs and small businesses want to make it in the world of mobile applications, but it’s difficult to figure out where to start. The competition is tremendous, with over 1 million applications on Google Play and Apple. Here is some advice from independent developers on how they have beaten the odds:

1. Look at what doesn’t work.

Matt Hall of Klicktock, who created Crossy Road, says it’s a good idea to look closely at all different types of apps, not just the wildly successful ones but the incredible failures. By analyzing ways in which other developers have made oversights, you can avoid the same errors yourself.

2. Create more apps by reducing time-to-market.

You don’t want to labor over one app forever, making it perfect, advises Appmasters.co founder Steve Young. “Focus on creating simple apps that can be published in roughly six to eight weeks,” he says. “This allows you to test many different ideas and create a portfolio of apps, which in turn will increase your likelihood of success.”

3. Focus on design.

Kamibox coder Philipp Stollenmayer, who had two games featured by Apple one week after another, says that the most fundamental element of app success is design. Simple, user-friendly design, coupled with a strong title and carefully crafted icon, gives you a much better chance of getting spotlighted by Apple.

Generally speaking, it will be easier to give people a good first impression if your design is strong. A series of studies on the creation of web credibility from Stanford University revealed that design is a fundamental factor in expressing legitimacy online.

4. Do what you love.

Create an app that really pulls you in personally, and the amount of focus you put into the development will be obvious in the final product.

Think of yourself as the ultimate user. How can you make the app easier for you to use?

5. Punch holes in your concept.

You want to care about what you are attempting, but that doesn’t mean you shouldn’t question every aspect of it aggressively. Look at the playing field. Prove to yourself that your idea is worthwhile.

Think of reasons why it might be better to go another direction.

6. Aim for intuitive.

You don’t want there to be any learning curve with an app, according to Young. “It’s important to get ease of use just right and have the app do things that will simply delight users,” he says. “Your goal is an app you can hand to someone who has no clue what the software does, but within seconds, they figure out how it works.”

7. Assume a long road.

True overnight sensations are few and far between. Keep learning and growing, and expect you will put in years of effort before any significant payoff.

8. Stay away from investors.

Realmac Software CEO Dan Counsell says it’s unwise to go for investors before you have made a real name for yourself. Instead, create it in your spare time.

9. Team with a technical expert.

Pairing up with another person will expedite development, comments Young. “Having a technical co-founder allows you to bootstrap a minimum viable product to the market with someone who is invested in the idea,” he says. “People with great ideas don’t always have deep pockets.”

10. The time is now.

Many people think competition in the app market has made it impossible to penetrate. That’s not true if you have a good idea.

11. Be great in one niche area.

Don’t be overly broad with your mission. Be great in a specific area, and square yourself directly toward solving its problems.

12. Strategize distro.

Consider how you will distribute the app. Figure out how to introduce yourself to the most reasonable demo.

13. Understand your own objectives.

Developer Carter Thomas says it’s a good idea to take a couple of days and think about what your real goals are as a mobile developer. Do you want to create one application or dozens? Envisioning the ideal future will make it easier to get there.

14. Shake off hesitation.

Sortly CEO Dhanush Balachandran says that forward motion is everything.

“The experience of building your first app and getting it in the app stores is by far the most important thing,” he says. “[S]tart with something simple, and get that experience under your belt.”

15. Be optimistic.

Don’t worry too much about anyone thinking your chances are slim. That’s always the case with an unproven idea. You just need to push forward and prepare the app.

16. Promote with strong cloud hosting.

By following the above 15 steps, you can make sure that your app is as strong as possible. However, you want to have your own high-performance site as a home base. That starts with true 100% HA cloud hosting.

That distinction of across-the-board high-availability is essential, and there is only one way to achieve it: by combining distributed storage with InfiniBand technology. Distributed storage beats centralized storage by allowing failures in multiple nodes without any impact on performance. InfiniBand beats 10 Gigabit Ethernet with practically no jitter and dozens of times lower latency.

Learn about guaranteed-performance cloud.

7 Strengths of Technology That Will Improve Healthcare

Health Care Tech

  • How our Healthcare Measures Up
  • Ability to Understand Large Datasets
  • Access
  • Education
  • Popularity
  • Sophisticated Incentives
  • Reframing Insurance
  • Meaningful Innovation
  • Your HIPAA-Compliant Partner

To put it mildly, the American healthcare system is not in good shape. Analysis published last year by the Commonwealth Fund showed the US coming up dead last for the 11th straight year when pitted against the quality of healthcare in 10 other developed countries. The nations ranked as follows:

  1. United Kingdom
  2. Switzerland
  3. Sweden
  4. Australia
  5. Germany
  6. The Netherlands
  7. New Zealand
  8. Norway
  9. France
  10. Canada
  11. United States.

Even though the quality of care in the United States isn’t keeping up with the rest of the world, each of us spends more on average than people in most of those other countries do. For comparison purposes with the above, here is the top 11 countries in terms of the amount per capita spent on healthcare:

  1. Norway – $9715
  2. Switzerland – $9276
  3. United States – $9146
  4. Luxembourg – $7981
  5. Monaco – $6993
  6. Denmark – $6270
  7. The Netherlands – $6145
  8. Australia – $6110
  9. Canada – $5718
  10. Sweden – $5680
  11. Austria – $5427

Despite all the spending, many Americans are unhealthy – with the CDC estimating that the majority of us suffer from chronic illnesses.

What can technology do to change these trends and bolster the quality of US healthcare? Or should we all move to Sweden?

Strength #1 – Ability to Understand Large Datasets

Many providers and other healthcare companies are aggressively strategizing in the area of big data. “[I]t’s key to every stage of the system — from research and development, to disease monitoring and treatment, to patient care,” says health writer Lyndsey Gilpin. “With IoT technology, sensors, and real-time analytics, doctors and researchers can more accurately understand their patients and better customize care.”

Strength #2 – Access

Access has long been considered a weakness of the American healthcare system. Telemedicine such as videoconferencing will allow people to get access to doctors regardless where they are, getting the professional expertise they need for ongoing treatment with no need to drive to the practice.

Strength #3 – Education

The way that medical school is organized in the United States is that doctors are trained for four years, two of that scholarly and the other two in a residency. The academic model has not kept pace with the technological innovations of the healthcare industry.

Now in 2015, though, education is in the process of rapid transition. “[T]he American Medical Association’s Accelerating Change in Medical Education is funding $1 million to each of 11 different schools to help fund new programs,” explains Gilpin. “Some schools are offering classes that use tech to look at disparities in access to care or how tech can help physicians give patient care.”

Strength #4 – Popularity

A 2013 study from Deloitte found that 73% of doctors think IT will bolster care quality. As physicians and hospitals are investing in more IT services, more people are being hired in the health IT field, with the job market expected to rise 20% by 2018. With more providers using EHRs, doctors are also better able to share information. In fact, one study found that primary-specialist consultations are the top use of videoconferencing telemedicine apps.

Strength #5 – Sophisticated Incentives

An extraordinary proportion of Americans are obese: 1 out of every 3 adults, and 1 out of every 5 kids. As those numbers have skyrocketed, employers now spend $6 billion annually on workplace wellness initiatives.

Although the obesity figures are disturbing, technology could create the perfect storm to combat it. Growth of the corporate wellness industry “comes at a time when fitness trackers and health apps are extremely popular with consumers,” says Gilpin. “It’s creating an ecosystem that can hopefully lower obesity rates, preventable diseases, and potentially the costs of healthcare.”

Strength #6 – Reframing Insurance

While Obamacare is certainly not universally loved, it has had one effect that seems to be objectively positive: the uninsured population dove from 22% to 15% in 2014.

Many people (some of whom don’t sell insurance for a living) are still concerned about that uninsured population. One example is the creators of an app called Oscar. The developers created an environment in which consumers can input their symptoms, discuss them with a physician, and track their medical data over time. Insurance quoting is integrated with the system.

Strength #7 – Meaningful Innovation

Many of the general technologies that are being designed are games and other entertaining gimmicks. In the area of healthcare, though, innovators have the power to actually save lives.

Two organizations are allowing IT specialists to perform work for the greater good. Significant Labs creates an environment in which people with strong technological skills can use them to provide assistance to the poor, while Not Impossible Labs create applications with open-source software to solve real-world problems.

“The ideas behind these organizations are key to creating better solutions that can really impact people,” says Gilpin.

Your HIPAA-Compliant Partner

For good reason, no healthcare company wants to work with a tech provider that isn’t fully compliant with both HIPAA and HITECH. Our multi-layered security platform, combined with an enterprise-grade hosting environment, helps protect your PHI data and allows your hardware, software, and databases comprehensive security. View our certifications.

By Kent Roberts