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Tech

LASTING Software has over 100 man-years experience in delivering automotive 2D & 3D graphics engines and graphical interfaces for high-profile Tier 1 customers.

Our software engineers are capable of creating a Graphics Engine adapted to any embedded display. Our expertise in automotive HMI/GUI (Human Machine Interface/Graphics User Interface) development services includes, but is not limited to:

  • IVI (In-Vehicle Infotainment) HMI,
  • cluster HMI,
  • graphics engine customization,
  • graphics SDK (Software Development Tool Kit) development, and more.

 

 

Automotive industry trends point out revolutionary innovations

 

We also keep updated on the latest trends in the automotive industry. The auto industry is on the verge of transformation, which triggers the accelerated rise of new technologies. Most of the big industry players are aware of these game-changing disruptions and prepare for the upcoming imminent changes. Diverse mobility, autonomous driving or car connectivity all experience high and low scenarios. Both versions lead to the same destination, only at different speeds.

We’ve selected a McKinsey study that shows the expected trends on the market by 2030, as a more detailed illustration of this future perspective.

As you may see below, in one image from this study, the leading OEMs will compete on multiple fronts:


We feel that we are the right partner for success in this competition, in what your software development needs are concerned.

 

The need for leading-edge development services

 

Taking the industry trends into consideration is one way to go when developing a viable strategy for the future.

Another approach would be logically anticipating what the main trends would involve. In a connected world, the modern means of transportations need to function seamlessly, securely and in a synchronized manner. Such standards are achievable only through the most efficient software development processes.

Knowing and following the coding standards, choosing the best methodologies, combining technical expertise with the capacity to innovate per request are just a few must-haves.

Take autonomous vehicles. Here is an article that illustrates how autonomous cars “see” the world. The complexity of the environment is matched by the one of the autonomous vehicles. From real time sensory equipment to the object identification processes and analytics software – it’s all a fascinating and impressive micro – world.

We can’t wait for these exciting perspectives to become reality and we are proud to be part of the process.

 

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Tech

LASTING Software’s expertise in Big Data empowers you and your customers to optimize the processes & operations necessary to succeed in today’s emerging market sectors.

Remember that we always put ourselves in your clients’ shoes and deliver solutions that fit their actual needs. User experience is one differentiator that will set you apart from the competition when you partner with us.

 

The bigger the data, the more important is meeting the challenges

Harnessing Big Data may not be as easy as it seems, even in the age of hopes and technological progress we are currently experiencing. Luckily, those who paved the way in this field serve as both an example, and a cautionary tale.

Big Data is a topic of great interest – at a global level. Big companies, researchers and software engineers share their findings, and the digital community benefits from this environment. Innovation spreads around, and unproductive redundancies are less likely to take place when keeping an ear to the ground.

 

The quality of the input greatly determines the speed and accuracy of the results

 

Pete Warden, lead of the Google AI TensorFlow Mobile/Embedded team, approaches in detail the necessity of improving the training data in this post on his blog. This “garbage in, garbage out” blunt truth about Big Data is already familiar, as the online media circulates breakthroughs at a fast pace. Perhaps less important than who discovered it first is to extract the maximum of wisdom out of this nugget of tech gold.

What it means for all those developing and using Big Data solutions is that analytics accuracy depends on the quality of the input. Tailoring the criteria for input data selection is extremely important. Depending on what you need to find out when using the software solutions of choice, the processing method needs to get the right information to begin with.

As simple as it sounds – an obvious truth, perhaps, turning this into code and building apps and platforms that would select, recognize and process precisely what is relevant takes passion, experience and a restless, inquisitive mind.

 

Takeaway:

Technical details are available in the source article, so we won’t replay them here. It suffices to say that we pay attention to what the biggest players in the tech game share with the world. Their input may not come in big datasets, but in advice or recommendations, yet it holds a much-necessary relevance.

When R&D is backed up by important financing, the tech community benefits from the shared results. Our software engineers like to continually update their knowledge and expand their skills.

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Tech

Statista features promising statistics on the Enterprise Software market value worldwide from 2013 to 2019, reflecting the current situation in this field. Considering how Gartner estimated that “the market will reach $521.8 billion in 2021” in one of his updates, it may be that the reality would even surpass the initial forecasts.


LASTING Software holds a 22+ year experience in Enterprise Software solutions. As we implemented and built computer software systems for various clients across industries, we have seen this market experience a solid growth. New technologies empowered the business activities, and the companies adopted them into their ERPs.

We delivered innovative add-on extensions, as well as stand-alone components and integrated solutions. Our team provided solutions for our clients in the manufacturing, process control and materials planning areas (and not only).

 

In summary…

More than 10000 users on all continents use our solutions in any one day. The reports we have created increase speed 30fold for users across the globe. They have become their software of choice. We understand ERP systems and we customized them as requested, for a positive impact on the daily activities of those using it.

 

Takeaway

LASTING Software always adapts to your requests. Our teams feature experienced software engineers, innovators, and hands-on leaders.


We build the enhanced, flexible software that allows for efficient, sustainable business growth. Our customized solutions are being used on all continents by over 50 000 users.


Our business model is simple. It enables investors to control the cash flow and changing skill sets required at different phases of the investment cycle. For SMEs, for example, we provide end to end coverage of projects or components which have been unable to be delivered because of resourcing constraints.

 

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Deep learning aims to make computers mimic the human brain. It is “inspired by and based on the model of the human brain to create artificial neural networks for machines”. The aim is to make machines express themselves and act in a similar way to us.

There is no degree of passion about this topic that equals the one met with the professionals that develop intelligent machines. Therefore, we want to recommend you a specific article this week.

 

Working in deep learning goes beyond tasks, into enthusiasm

The article pointed out by one of our team members is co-authored by Ronald van Loon and Rodrigo Agundez. The latter is “very enthusiastic about the improvements that deep learning can offer”.

The focus here is on the importance of the technological progress we are witnessing in real time. The post presents as well the huge work involved in the back-end algorithms. As the author says:


Creating machines that are capable of understanding minute differences in words embedded in a context may seem like a very small thing, but requires a very large set of data and complex algorithms to execute.


The accuracy is extremely important in differentiating complex and successful algorithms from the rest. You will see how and why deep learning is superior to AI (Artificial Intelligence), by going through the original post.


Our take


Both the authors benefit from hands-on experience in the field, and share the same passion for advanced technology. This is specific to our team members, too. We can easily relate to their enthusiasm by replaying our own experiences.

 

The article we recommend also mentions how the ubiquitous connectivity that now links software engineers around the globe makes it easier for the cutting edge companies to hire talented developers. Having access to research and open source data, as well as enriching one’s experience continuously through each new project, really opens up the horizon.

 

Once again we feel elated about our field of work – and this is the basic premise for great things!

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Before seeing what IoMT stands for, we’ll ask you a question. Do you know that LASTING Software developed solutions underpinning 93% percent of the pharmaceutical companies’ trials?

Our company provides fast prototyping, and links your business intelligence to the real world, via connected systems and the cloud. Healthcare solutions are a field we are experienced in. Our solutions are greatly appreciated. They place us right in the middle of the digitization movement that takes place in this industry as we speak.


What is IoMT?

IoMT translates as the Internet of Medical Things, a specialized branch of IoT. It comprises all web-connected medical devices.

Expected to reach $136.8 billion worldwide by 2021, according to this report by Allied Market Research, the IoMT is expanding, with the patient monitoring application segment in lead position.

With scientific & technological advances, such as these smart pills that notify an app whether the patient took them as prescribed or not, the healthcare devices are set for a spectacular growth rate in the short to medium future. Subsequently, so are the apps and software solutions that will collect, process and analyze the resulting big data.

As Forbes put it, “the IoMT can help monitor, inform and notify not only care-givers, but provide healthcare providers with actual data to identify issues before they become critical or to allow for earlier invention”.

A sub-segment of the IoMT consists of pharma IoMT – involving drug development & treatment processes digitization.


The reason for IoMT’s slower evolution

It is well known that the healthcare industry adopts the Internet of Things technologies at a slower pace, compared to other industries. As the certification/approval procedures prove it, each device, software solution, innovation and generally each new piece of technology needs to undergo a thorough process of verification and validation in this industry.

The reason is in fact simple – people’s lives may depend on it. By consequence, there is no place for faulty hardware or software in an industry such as healthcare. Of course, the question of trusting someone’s life entirely to AI is still in its theoretical debate phase. Nevertheless, all products that officially form the IoMT have to successfully pass the trial and certification phases.

Combining the fact that software engineering is now a global activity, with the lower prices-better quality phenomenon, allows for skilled engineers to program efficient hardware in this field. As mentioned above, we are looking forward to a vast increase in the number of medical devices in the next few years.

 

Turning healthcare data into powerful insights

Once collected, the IoMT data holds a vast potential. It’s also Forbes that mentions the “healthcare’s cultural metamorphosis”, in the article we quoted above.  Turning this data into useful insights medical professionals can act upon is the next big step.

Here enter the efficient software solutions. Bringing AI algorithms together with cyber-security features, the healthcare software solutions make sure to link patterns and interpretations with the initial raw information.

It’s a wonderful world of possibilities.

Also, it is a field where discipline, data privacy, efficient work procedures and compliance are all of highest importance. Cost-efficiency in the healthcare software solutions field means working with the best professionals. Providing experience, a customer-minded work style and respecting the commonly agreed procedures are important during the development stage. Going with the cheapest partners may prove costly over time, endangering the solution’s approval or being a potential liability.

Having a rock-solid digital technology foundation lists as one of the best ways of to combat security risks within medical devices.

 

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