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Timisoara, 2nd April, 2019 – Timisoara-based software solutions provider LASTING Software has formalized its long-term collaboration with Belgian-based satellite communications company NEWTEC by setting up a new, dedicated software solutions research and development (R&D) center. Backed by major public and private sector players – such as mobile network leader Nokia, the European Space Agency (ESA), the Romanian Space Agency (ROSA) and the Politehnica University Timisoara – the LASTING Software – NEWTEC venture aims to turn Timisoara into a hotspot for Satellite telecom expertise via a joint 600K EUR investment in a local R&D center.


LASTING Software has signed a business agreement with NEWTEC, the global technology company specialized in designing, developing and manufacturing equipment and technologies for satellite communications. The LASTING Software – NEWTEC agreement formalizes a successful existing partnership and collaboration between the two entities: over the past 18 months, the joint LASTING Software – NEWTEC team in Timisoara has grown to 12 dedicated engineers developing satellite backhaul solutions for mobile communications.

NEWTEC brings to the table 30+ years’ experience in satellite communications, as well as considerable knowledge in mobile network technologies. LASTING Software is a technology leader and one of the earliest established software solutions providers in Western Romania, currently focused on areas such as telecommunications, graphics, mobile & IoT & Cloud, analytics & Big Data.

The project for the establishment of a telecom R&D center in Timisoara is co-financed by the European Space Agency (ESA) and coordinated at national level by the Romanian Space Agency (ROSA); the latter has provided support in accelerating the growth of the dedicated project engineering team in Timisoara. The development of the satellite backhaul solution for mobile communication is supported and facilitated by Nokia. The latter is working closely with the LASTING Software and NEWTEC team on a proof of concept (PoC) consisting of an end to end platform that will validate the satellite backhauling solution currently being developed, and which will function for 2G, 3G, 4G and soon 5G mobile networks.

All the players involved in this project led by LASTING Software and NEWTEC, see great value in the continued development of an ecosystem of telecom-related know-how, expertise and infrastructure in Timisoara, turning the latter into an attractive hub for students and experienced professionals alike.

“The LASTING Software Partnership with NEWTEC is a reason to feel honored and motivated. We can now capitalize on our company’s significant expertise in the telecom area while working with – and learning from – experienced industry partners in an international, dynamic environment. We aim to innovate and develop exciting solutions that support a truly digital future for telecommunications & beyond”, stated LASTING Software CEO Daniel Zirmer.

 

About LASTING Software

With an innovative mindset, LASTING Software has grown into a major consultancy and software development company, in touch with the latest advances in digital transformation. LASTING Software is a leader in software development services and Quality Assurance (QA), with special focus on areas including telecommunications, graphics, mobile & IoT & cloud, analytics & Big Data, as well as Agile management.

Our company has specialized in enterprise software solutions since 1996, when it began by implementing and building computer software systems for various clients across industries. LASTING Software is part of LASTING Group, one of the oldest and most established Romanian technology companies; it became an independent business unit in 1999, and has been a standalone company since 2000.

Located in Timisoara, West Romania, we are a truly internationally-minded company, with customers in Western Europe & North America. We like challenges and we empower our people to explore innovation, while providing a robust environment that motivates hard work and fast thinking.

 

About NEWTEC

NEWTEC, www.newtec.eu, is specialized in designing, developing and manufacturing equipment and technologies for satellite communications. As a pioneer in the industry, NEWTEC is dedicated to creating new possibilities for the broadcast, consumer and enterprise VSAT, government, cellular backhaul and trunking and mobility, offshore and maritime markets. Its products and technologies can be applied in a wide range of single and multiservice applications from DTH broadcasting, video contribution and distribution and disaster recovery and backbones for cellular backhauling, to small and medium enterprises, SCADA and oil and gas networks, aircrafts and vessels.

NEWTEC is a European company headquartered in Sint-Niklaas, Belgium. Through additional commercial offices in Dubai (UAE), Singapore, Beijing (China), Sao Paulo (Brazil) and Stamford, CT (USA) as well as an extensive network of over 100 certified partners, NEWTEC can meet customer’s needs worldwide.

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Business entities need to follow specific rules and regulations, as per the governing authority in the area they are located. This also goes for the area they actually have their activities and operations. The current business environment is a global one, almost in a mandatory way. Therefore, what happens in Europe (think EU, think GDPR and the EU take on competition) is likely to affect various organizations around the world. There is no circumventing the new increased compliance regulations, but there are software solutions to help.

As we can see with the naked eye how the world becomes more and more complicated around us, we can also see how technology progresses. The latest solutions, the next-gen ones, the empowering ones – all illustrate instances of technology coming to the rescue.

To be more explicit, we are in the Big Data area. Huge amounts of information flow through the companies informatics systems nowadays. The regulations establish responsibility and liability for the safety and privacy of the said data. Partly because it comes with a right of ownership deriving of each individual being identified and linked with its own data. Partly because technology (again) can transform this raw information into powerful insights, guidelines, decisions and key timings.

Organizations everywhere need leading-edge, custom-tailored software, versatile software solutions to achieve the necessary compliance. Of course, depending on their specifics, their demand refines down to various types of solutions. But quality and personalization are a constant need.

 

Where do privacy and antitrust meet and where do they split again


Big companies have powerful infrastructures. It’s only logical that these will circulate critical data coming from all the customers that interact with their products and services. Therefore market monoliths generate Big Data conglomerates. These in turn input even more power into the same superstructures. As we mentioned, information is power.

To prevent negative consequences in terms of competition, antitrust measures in the European space touch the issue of data ownership.

The decision makers are fiddling with the idea of liberating data from firms. Individuals could become able to choose themselves how the data about them gets used. Or – probably – how it stays apart from statistic, insights, algorithms and other modern systems that feed on data.

Once the big companies see their privileges of access to inherent data restraint (of course, there is a big “if” involved), there will be a whole new horizon to contemplate. Some even list megatrends derived from the expected big shift in the companies-people relationship.

 

Working with Big Data, in a compliant way

When the data issue will get a zillion nuances, as in each individual deciding whom he/she wants to share their private data with, and exactly which data – companies will need extremely resilient, trustworthy and clever software systems.

It’s not they don’t need it now, as well. But an exponential increase in every software-related demand will appear. It may take businesses by surprise – another disruption. But it can also develop in time, just in case. Those who prepare in advance consider or already use AI solutions. Software solutions that are able to further grow, expand and connect with other future programs are yet another way to go.

Modular, flexible and versatile – but always on the quality side. Tech giants may fret about the perspectives of their conglomerates becoming fragmented, to protect the European market. Meanwhile, the rest of the organizations can anticipate further privacy-related disruptions. Both things have at least one common point – options. And where there are options, the software solutions need to provide them, take in the categories and process the inputs accordingly.

Personalization also comes from options, carried into the experience a company provides its customers with. So, we meet again with the same demand. That is, taking in differentiated data and processing it in specific ways.

Therefore, it is never too soon to begin tailoring the best software solutions for the data-related disruptors of tomorrow. Just plan for success and use the available predictions to stay ahead of your competition.

Remember that whatever software solutions you need (or want to develop for your customers), here at LASTING Software we have a Big Data expertise that may prove key in developing it!

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#To the satellites & back! LASTING Software is honored to take part in the Gala of Informal Education in Space Sciences and Technologies. Our company is co-organizer and co-initiator – together with the IT Banat Association – of the Gala.

We get to celebrate the love for science on a relevant day  – 14th February. This is meant to be the first edition of the Gala of Informal Education in Space Sciences and Technologies.

The Gala will reunite public and private, local and national organizations from the educational and business world. What brings us together is the fact that we appreciate the passion for science. The event supports the students/pupils who excel in the field of space sciences and technologies and telecommunications. It also celebrates their succes in national and global competitions.

On this occasion, LASTING Software will make an important announcement. For now, we’ll leave it to you to find out the details in the event description: https://bit.ly/2BvNPVp. Also, stay tuned for further details on our website and social channels.

About LASTING Software

LASTING Software specialized in Enterprise software solutions since 1996. The company began by implementing and building computer software systems for various clients across industries. Part of the LASTING Group, we became an independent business unit in 1999, and a standalone company since 2000.

With an innovative mindset, LASTING Software grew into a full consultancy and software development company. We keep in touch with the latest advances in technology. We gained experience via software development services and Quality Assurance to clients from automotive and mobile communications industry. Currently,we provide the following types of services: software consultancy, custom software development, software project implementation and Quality Assurance.

The LASTING Software main projects so far are in the areas of telecommunications, graphics, mobile & IoT & Cloud, analytics & Big Data and Agile Management.

Located in Timisoara, West Romania, we are a European company connected to a thriving hub of digital activities and software engineers, with customers in Western Europe, as well as over the ocean. We like challenges and we empower our people to explore innovation, while providing a robust environment that motivates hard work and fast thinking.

 

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The Forbes 2019 predictions focus on AI-related developments. The big picture clearly shows how the interviewed professionals expect specialized AI to infuse more and more business operations levels.

There is a promise of “less hype and more practical, precise, and narrow AI”. This should make various organizations feel enthusiastic about the next stage in business automation.

In what follows, see our highlights from the original article:

 

Self-Driving Finance, as a practical implementation of AI


“Financial institutions will require specialized forms of AI for each of their customer segments such as retail, small business, and wealth”.

Companies everywhere will develop internal means to manage their Big Data

“Organizations will come to realize that they need tools to easily create quality AI data internally”.

 

AI-based process discovery should take off

Process discovery is like a sensor embedded in the application that learns all of the user journeys, using AI to predict the optimal path for interacting with a system”.

 

3D printing would benefit from AI-enhanced HMI software that allows designers to test and experiment their ideas

“The designer will simply articulate the design goals and material parameters and the AI will do the rest—exploring nearly infinite design permutations based on existing design concepts”.

 

The new take on cloud and APIs should finally reveal AI’s role in effectiveness and efficiency at enterprise level

“In 2019 we’ll begin to see AI deliver meaningful value to the enterprise, (…) helping people at all levels of an organization do what they do more effectively and efficiently, while uncovering new opportunities and new ways to work”.

 

Personalized experiences beyond the first impression should meet the B2C-type of customer expectations


“As customer expectations increase, enterprises will need to keep pace by using machine learning and AI to offer a personalized experience beyond the first impression.”

We could witness the end of digital ownership, while the subscription model should replace it

“Today, we don’t own movies or music anymore—we subscribe to Netflix or Spotify. Tomorrow, we won’t own products anymore—we’ll subscribe to them. AI platforms are in the midst of turning every manufactured product on the planet into a connected ‘smart’ product”.

 

The AI hype will move forward into applied, practical AI

“We will see the focus shift from AI to ‘AI-driven’ results as companies look for real business impact from AI tools. The technology will be less important than the business insights it delivers”.

 

New concepts should refine and overwrite the latest technology as we know it

“A new wave is on the horizon—AI startups that generate proprietary data every time they’re used”.

 

AI should enter its friendly stage, functionality-wise, in order to win people over

“For people to feel a connection to AI-powered services and be willing to adopt them into every aspect of their lives, these services will have to become more and more anthropomorphized”.

 

To see more predictions and check out who said what, you may access the source article here.

Meanwhile, we are here for you, should you decide to turn requirements and ideas into smart software – just contact us!

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This week we focused on autonomous vehicles, inspired by this Innovation Enterprise post that targets the decisional factors inside organizations. All those concerned need to prepare in advance for the incoming changes that are set to affect industry after industry. Just to have an idea about the scale of the disruptions, their certainty and their character, let’s go through this topic, the way the mentioned publication approached it.

Autonomous vehicles will pervade the logistics and transportation fields, and the legal adjustments point to this

Firstly, we should notice that the article looks at the way autonomous vehicles progress in the US environment. Therefore the presented implications and legal changes are in relation with this geographical area, for now.

The Department of Transportation recently issued a new guidelines document of 70 pages. The officials stated that they changed the definition of “operator” and “driver”, to allow for AI-driven vehicles.

Based on this major change, those in charge of businesses in which such vehicles might play a role in the future should prepare in advance. Exactly how will autonomous vehicles impact such businesses? Advice for determining the future impact of the changes to come is included in the article.

Mapping out what companies will drive this type of change is yet another step in the process of getting ready for it. Autonomous vehicles come with AI (Artificial Intelligence). Companies such as Google, Tesla, or even Dominos Pizza made no secret out of their AI commitment.

Besides keeping an eye for the moves of such innovators/adopters, investing in stocks related to AI is a second option many will consider.

 

Going fully driverless means high technology and overcoming any security issues in autonomous vehicles

Analysts have estimated that going fully driverless is an option that could become real in transportation around 2030 or half 2040s. We are talking trucks and goods delivery, and the figures already point out considerable cost saving benefits and not only.

The road to this stage may seem long and surely it’s a winding one. However, the first official and regulatory step may well be the new definition of what a driver is.

On the other side, road safety and cyber security concerns show the need for high-performance, fault proof software and hardware. Those solutions that guarantee the safety of all those taking part in traffic are the only way to move forward.

Going fully driverless in transportation and delivery does not yet have consumer acceptance. Autonomous vehicles still have some way to go until convincing the majority of people they are in no way a risk on the road. In any case, they still have to prove not being a bigger risk than the vehicles with human drivers.

Autonomous trucks generally officially operate at what’s known as Level 2, an engineering standard that includes technologies such as automatic braking, acceleration, and some amount of steering. (Basic cruise control, by contrast, would amounts to Level 0, and certain features such as lane-assist or adaptive cruise control would be Level 1). However, autonomous trucks are often effectively operating at Level 4 – or “high automation,” with their safety drivers generally only taking over on local roads.
– Richard Bishop, an automated vehicles industry analyst, quoted by US News

Image credit: curbed.com

 

 

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Recently, our colleague Petrut Ionel Romeo, Technical Project Manager, Lasting Software held the presentation entitled Satellite Communication solution for Cellular backhaul, as part of Codecamp Timişoara, the autumn edition.

In what is actually a solid business case for satellite – based mobile communications, he outlined the importance of this technology and its 2 main current key purposes, in a way that would make it clear and palatable by non-specialists and technical people altogether.

We will briefly recap the main ideas, leaving aside the more technical content. Nevertheless, let your imagination add to this material the context of a busy, dynamic conference, and you will have the image of a great day…

 

Satellite – related facts

Satellites (communication and weather), are situated in the geostationary orbit. This is to make it easier for the Earth-based antennae to maintain continuous communication. A geostationary orbit allows for the position of the orbiting object to remain constant.  To a stationary observer from Earth, it seems motionless.

In time, the number of satellites placed in the geostationary orbit became high enough to justify the new ring system made by all these devices being called the Geostationary Satellite Belt.

Having to control and maintain sophisticated pieces of technology at such a remote distance is a huge task. There are specific challenges linked to the system of satellites surrounding the Earth. Although by developing the technology at an impressive rate, the previous reach, maneuver and management issues have been solved in ways that were not possible a while ago, the physical premises (and not only) make satellite technology a highly demanding field.

Satellites operate in extreme thermal conditions, risk being hit by space debris, face the hostility of radiation belts and so on. Perhaps the simplest challenge to understand of them all would be that satellites are remote devices, with a specific procedure in place in order to access, maintain and repair.

By taking a look at the distance-related communication challenges, we may consider how:

  • The Clarke belt (the part of space in the plane of the equator, designated implementation area for near-geostationary orbits) is about 36.000km above sea level;
  • When speaking of communication back and forth, we are dealing with 72000km
  • Taking into consideration the speed of light, the resulting delay in transmissions is of approximately 250-270ms

However, despite these challenges, communication satellites also have a few particular traits that put them above any other communication-enabling technology located on Earth.

The unmatchable advantages of the communication satellites

Satellites are extremely important because in certain locations and/or circumstances, the terrestrial communication infrastructure is inefficient or even completely out of range/function.

There are 2 major (and we may add critical) situations where only satellite-enabled communications can support the flow of necessary data and messages.

  1. Geographically-isolated or architecturally-isolated spots
  • Often in rural and remote areas fiber and microwave transmissions are unavailable, as there is no business interest
  • Satellite communications are also efficient in mountains, deserts, islands, in other areas difficult to reach due to the landforms and/or structure
  • This type of communications may be of use in order to relieve congested urban areas: stadiums, malls, markets, academic centers
  1. Situations that require a solid communication infrastructure for emergency response

Satellite can act as a trustworthy fiber backup, since fiber is not that reliable. Faced with earthquakes or other cataclysms, both landline and fiber systems are easily down, unlike satellite-enabled communications, which become crucial for keeping in touch, monitoring and intervening in such moments.

 

Communication Satellites Architecture Options

In accordance with their type and with the communication needs they have to meet, satellites usually feature one of the following main architectural types, when it comes to data transmissions:

  1. Point to point links
    • When there is a limited number of links
    • For nb interface, for example
    • For very high speed trunks: +300 mbps
  1. Hub and Star architecture
  • Multiplex on forward and return
  • Smaller remote equipment

 

Mobile backhaul: key considerations

Mobile backhaul (MBH) is the process of data and voice transportation from distributed network sites to the network core. It enables mobile users to access the main data centers that host the content and applications.

Terrestrial backhaul is the traditional method. For a long while mobile and satellites existed in parallel, due to the costs involved in satellite operations. Once the more recent advances in satellite technology reduced the bandwidth costs – for example High Throughput Satellites (HTS) managed to bring an up to 70 % saving – satellite backhaul became a viable, attractive solution which is about to gain traction.

What does the shift towards satellite backhaul involve, as far as the mobile communications are concerned?

  • Mobile networks: Quality of Service (QoS) and Service Level Agreements (SLAs) are key for Voice traffic, Data traffic, Signaling, Management
  • The mobile equipment: configured to accept higher satellite delay
  • Mobile traffic: needs to be optimized to lower the cost of satellite bandwidth

 

Mobile traffic optimization

As mentioned above, traffic needs optimization, in order to make the most efficient use of the satellite bandwidth. To that avail, here are a few possible methods for each of the following telecommunication infrastructure types:

  • 2G TDM: remove silence and idle channels
    • Optimization on Abis can bring up to 50% bandwidth gain
    • Gains on Ater, A link and nb interface as well
  • 2G IP, 3G, 4G: leverage compression for headers (small packets), and payload (data)
  • VoLTE: compression of internal stacks as well (within GTP tunnel)

 

*Additional feature: accelerating TCP in 4G

  • TCP traffic  – captured transparently within GTP tunnel, by using “protocol spoofing”
  • A mechanism that tries to send as much data as possible, as soon as possible
  • The protocol uses the alternative window size mechanism, with a larger window – to increase throughput (RFC 1323)
  • The protocol implements alternative acknowledgment mechanism, reducing number of ACKs.

 

The importance and requirements of the satellite solution

Mobile network operators considered satellite backhaul as an attractive option for a long time. This is due to it being the only option in extreme situations, either permanent (remote or congested spots), or temporary (cataclysms, catastrophes, major downtime incidents). While it used to be a cost-prohibitive solution, the advances in technology now open up this option.

The new opportunities come with their own specific traits and requirements:

  • Spectral efficiency is essential in reducing the cost of satellite bandwidth
  • Quality of Service (QoS) is the key to being able to fulfil the mobile operators’ tight requirements
  • Flexibility is important. It accommodates the multiple mobile technologies (2G, 3G, 4G), and the various network configurations (including the rural low power consumption phenomenon)
  • The technology allows for bandwidth sharing and dynamic adjustment to real-time traffic and weather conditions
  • Scalability, which is critical for:
    • Typical mobile backhaul network: 20 to 100 remote sites
    • Typical small cell network: 1000 sites
    • Increasingly, mobile operators also want other services to be hosted on the same satellite solution, e.g. enterprise service, thus resulting more remotes

 

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A couple of days ago, Microsoft launched a series of updates that benefit the developers. At their Ignite event (Orlando, FL), the company revealed the new and improved features in many of its product lines, in theme with their AI & ML focus for 2018.

We browsed TechCrunch’s report of the notable developer-centric updates.

 

For the Microsoft Azure Machine Learning services

The selection, testing and tweaking processes become mostly automated. This way the developers can save important time. They are also able to build, “without having to delve into the depths of TensorFlow, PyTorch or other AI frameworks.”

Also, more hardware-accelerated models for FPGAs will be available from now on.(*FPGAs – powerful field programmable gate arrays, used “for high-speed image classification and recognition scenarios on Azure”)

Microsoft decided to add a Python SDK to the mix, too, making Azure Machine Learning more accessible from a wider variety of devices. According to Microsoft, this SDK “integrates the Azure Machine Learning service with Python development environments including Visual Studio Code, PyCharm, Azure Databricks notebooks and Jupyter notebooks”. It also lights up a number of different features, such as “deep learning, which enables developers to build and train models faster with massive clusters of graphical processing units, or GPUs” and link into the FPGAs mentioned above.

 

For the Microsoft Azure Cognitive Services


The Microsoft speech service for speech recognition and translation also features an upgrade. The improvements are in terms of voice quality, as well as availability.

Apparently, now the voices generated by the Azure Cognitive Services’ deep learning-based speech synthesis are true to life.

 

For the Microsoft Bot Framework SDK

The company declared that now it’s much easier for any developer to build its first bot.

*However, TechCrunch’s comment for this reminds us that the bots hype is a thing of the past at the moment. Therefore, it remains to be seen how many developers will take advantage of the new features. Nevertheless, more natural human – computer interactions are now available on the Microsoft Bot Framework SDK.

 

The automated model selection and tuning of so-called hyperparameters that govern the performance of machine learning models that are part of automated machine learning will make AI development available to a broader set of Microsoft’s customer

– Eric Boyd, corporate vice president, AI Platform, Microsoft

Details here

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ZDNet explores the way AI, the cloud, and Big Data in “the AI regeneration era”. The industry dubbed the adjacent infrastructure stack Industry 3.0. Due to the new generation of AI chips, data-centric software tasks should benefit in terms of both operational databases and analytics, as well as in what machine learning (ML) implies.

The easier way of handling Big Data can make companies of all sizes and from any location access new operational horizons. But organizing Big Data processing still involves a series of key decisions, which often call for experienced consultants. The pharmaceutical companies have a number of hard choices in the cloud and on-premise already laid out for them.

Bear in mind that the LASTING Software implementation of analytical algorithms and engines for statistical analysis is at the base of the world leading, FDA-approved solution. Our solution is being used by 93% of the world’s pharmaceutical companies. We will therefore walk you through the main expected pharma industry challenges, inspired by the article we mentioned.

 

The importance of processing units in accelerating your software workloads

It’s more exactly about GPUs – Graphical Processing Units, the ones that “leverage parallelism” and better keep up with Moore’s law. Their architecture responded to the new challenges well, and now one of the GPU main producers (NVIDIA), announced a set of innovative products with a new architecture.

Hardware to match the upgraded modern request is therefore on the way. But the software is also of importance. Seeing how “how GPUs are currently the AI chip of choice for ML workloads”, the ML libraries come into play.

For detailed recommendations, you may access the original article. What you need to remember is that “GPUs can greatly accelerate workloads that can be broken down in parts to be executed in parallel”. Enough said.

 

Field Programmable Gateway Arrays and their software scope

FPGAs, simplistically describable as “boards containing low-level chip fundamentals, such as AND and OR gates” are not new. Specific tasks or applications find their correspondence in the hardware description language (HDL) that specifies the FPGAs’ configuration.

Changing the said configuration at need suffers from a certain software layer immaturity. This time, the player that stands out is Intel. By investing into FPGAs R&D, this company tries to catch up on GPUs with a new line of next-gen FPGAs.

Again, the software is crucial. Along with it, the databases and libraries need to support the FPGA-accelerated analytics.  

 

Once having decided what you want, different choices ensue

To quote our inspirational article of the week: “Should you build your own infrastructure, or use the cloud? Should you wait until offerings become more mature, or jump onboard now and reap the early adopter benefits? Should you go for GPUs, or FPGAs? And then, which GPU or FPGA vendor?”

You may check some of the details and possible answers put forth by the author.

If you can make sense of them, or even get the big picture, then you must be familiar with both hardware and software – kudos to you.

Even so, the activity of your company might need the time to focus on different matters. You can still use a partnership where you can state what you need, infrastructure-wise, and your software solutions partner would deliver it.

Unable to follow the detailed options presented by ZDNet? Then the assumption that your company is a typical pharmaceutic industry entity could be the right one. No need to get stuck trying to learn software-specific notions or trying to make sense by yourself what would the best hardware elements be.

 

The multitude of available options pushes for the right partnerships. The wisest, poised for efficiency and success organizations learn to delegate tasks. To make next-gen digitization simple and get right to the point where you benefit from it, find the right software solutions partner.

We are waiting for your email or call!

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LASTING Software’s presence in medical IoT and smart healthcare is extensive. We developed wearable monitoring devices that record vital signs and sleeping habits. We have also developed our own air quality measurement solution. Its multi industry applicability includes this particular field.

Also, we worked on Big Data algorithms and analytics processing that underpin 1000’s of FDA/FMA clinical trials.

Remember that our focus and work style makes us suited to speed up the businesses of:

  • Small and Medium Enterprises
  • Large corporations
  • Investment funds and startups

Our working models include:

  • Our team as an extension of our client’s team
  • Full scrum team in Lasting Software
  • Turnkey project delivery


Allowing smart healthcare to gain traction

Infrastructure limitations, lack of standardization or of regulations often stand in the way of development. Still, things are changing for the better. By finding the right solutions, tech specialists enable digital development in more industries.

For example, one of the reasons digital healthcare (still) evolves at a slow pace consists of cyber security concerns. Thinking of the possibility of hackers accessing someone’s medical data is worrying. Malicious entities could also alter the data, or even manipulate devices that are essential for somebody’s health or life.

The industry looks for ways to reduce such risks. This would also enable the fast take-off of healthcare digital solutions. Some specialists recently considered the adoption of blockchain into mobile health data transmissions. Blockchain would bring enhanced security and privacy into healthcare. It’s one of the perfect candidates when it comes to reliable, smart solutions.

 

Blockchain comes to the rescue in mobile healthcare data management

Blockchain is “a data structure architecture kept consistent by ‘blocks’ stored and maintained by every device connected to the blockchain network (that) are permanent time-stamped transaction records where each block links to the preceding block to create a ledger, allowing users to track and verify all submissions to the system”.

When applying this system to healthcare data, a Chinese team showed that users could manage all personal health data in a more secure way. They would be in charge when it comes to designating the level of access to their data. Healthcare providers and other third parties would have the chosen access level to the data stored on a cloud server.

The ledger system – characteristic to blockchain – would enable efficient data processing and authentication.

This could free healthcare applications from the limitations of data vulnerability. It would definitely speed up the rate of development in this field. The blockchain solution could be one answer to a pressing issue.

 

For extra details on this news, here is the source article.

 

 

 

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