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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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Leadership, Tech

ROX means Return on Experience and it expresses “how businesses create value across connected experiences and how that value can be followed and measured down into individual moments themselves”.

As you can see, the concept and its formula is not new. It is around since at least 2014, which means it is resilient enough. ROX didn’t go away, and the customers’ profiles indicate that it meets their evolution. The way customers interact with organizations and brands is increasingly experiential. Regardless of generational segmentation, people enjoy considering the way their providers treat them. From cold advertising to online or brick-and-mortar stores or meeting points, each move counts.

But how can businesses track a customer experience, trace the positives and the negatives? It’s all about going digital, of course. Even smaller businesses need technology to set up an omnichannel experience, let alone to follow what goes on during it.

Digital nowadays means Big Data. Sensors serve in capturing Big Data, and proficient software solutions in processing it. Relevant insights provide partially structured information. From there on, it’s up to the human decision factors. Strategy is at greatly eased once the digital tools support accurate prognosis.

Although the article we quoted approaches ROX in relation with marketing, it is more than this. As soon as an organization has the image of how its customers perceive it and interact with it at each level, decisions of all types may sprung and improve the business.

 

Customer experience analytics – a field open to competition

Back to 2019, and we find this on ROX in a Strategy + Business article:

A revolution in technology has created the devices and interfaces that allow people to interact with companies anywhere and anytime, and has enabled customers to influence a global audience with their comments or likes

Source

Now that the technology is able to provide further meaning and structure to the ROX concept, the software solutions make all the difference. The companies may have custom-made software tools made for their specific needs. Mixing and matching the right devices, hardware and software elements is now highly likely to provide a virtual crystal globe. All things related to your customers, from past experiences to what should you improve, are available in it.

Of course, most often than not, companies also compete for the same pool of customers. And that is why in a sense mastering the ROX concept is in fact a race. From grasping its meaning, to becoming an adopter and finding the best Big Data solutions – it is all a competition.

LASTING Software is experienced in Big Data software solutions that empower our clients to harness the power of newly available information. Also, user experience is one differentiator that will set you apart from the competition when you partner with us.

Contact us & move towards the right solutions that will enable you to better understand your own customers – with us!

 

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Tech

It is a fact that in all healthcare sectors miniature wireless devices will replace big monitoring machines. Tracking patient vital signs is just one part of the equation. These sensors detect and collect relevant data – and they need to transmit it further. Storing, interpreting and analyzing the data come to close the full circle.

Dramatic advances in technology have made these miniature wireless devices possible. Advances in software development allow them to have a “voice”. Only with custom tailored, leading edge software the sensors are able to report a status, to predict outcomes, to trigger notifications and alerts based on the data.

As a recent National Geographic issue puts it, “the innovation will allow more extensive monitoring and earlier intervention, potentially saving lives – and billions of dollars”.

Wearable sensors are not new, but they are recent – and their full capacity comes hand in hand with perfecting how they work and convey relevant data. For example, nowadays we have soft, biocompatible sensors, ready to accumulate information with the minimum discomfort for the user in the process.

 

Modern preventive healthcare is a field of maximum focus

Research previously showed how losses – both human, and financial, incur due to delayed information, imprecise stats and diverse errors and confusion points. Reducing the incidence of such factors is highly welcome.

The same source provides a series of examples when it comes to wearable sensors. One of them is a pulse oximeter for prematurely born babies, which measures blood oxygen levels. Other one is ECG and seismo-cardiograph, acting as a digital stethoscope. (Both are credited to the team of engineers at North-western University).

Any such healthcare device needs an operating software. As well, it needs an associated application that would convey the data to the specialists in an easy accessible manner. Not that the operating software is something to be approached lightly or cheaply.

Faultless functioning and airtight cyber security are two of the main standards when working with this type of devices. All healthcare related technologies need approval, and in this complicated process the two above-mentioned characteristics are key.

 

Healthcare also welcomes and needs the right data analytics and Machine Learning tools

Aiming above individual monitoring, prevention or treatment, a different range of healthcare technologies handles the collected data. By gaining a unique perspective after having computed in huge amounts of data on a chosen subject, the right software can deliver astounding insights.

Again, it depends on the project team to make the declared goals become true. From the project owner to the most humble of the developers, working as a dedicated team provides a guarantee for the successful outcome.

As software engineers, being part of a venture like this feels exhilarating. Through all the hard work and hours spent turning actionable instructions into code, beams that feeling of enabling progress.

True, when the result of one’s work is an instrument someone else will use in its activity, sometimes it is hard to describe why it’s nevertheless spectacular. But it is. Knowing that the outcome of our efforts will work flawlessly and further serve in advancing other technologies or even fuel breakthroughs feels good.

At LASTING Software, we are experienced in the implementation of analytical algorithms and engines for statistical analysis. Our work became the base of one of the world leading, FDA-approved solution. 93% of the world’s pharmaceutical companies employ it.

Contact us and find out how our software engineers can bring to reality the best software solutions in your projects!

 

 

 

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Tech

The LASTING Software Big Data experience spans from pharmaceutical industry projects, to the business software and consultancy collaborations we are part of. Digital data is our field of action.

While auditing companies and being part of the preliminary consultancy stage, one can notice in time how the needs and requirements of each partner vary, even if the ultimate goals bring us all together. Staying ahead of the competition, getting a firm grasp on the industrial revolution phenomenon and keeping or making their organizations successful are all common traits for companies, even for industries.

Reaching these goals allows for a wide range of software solutions to come into play. The best solution for you is the one that provides the most suitable, actionable answer to your current needs. Being scalable is a big extra, because what you invest in now will also deliver tomorrow, the next year or in 5 years. Provided you specify this in the consultancy & design phase, a sustainable software solution should always be an integrated scope.

On this line, we ran into an article that deconstructs the Big Data needs – and we want to share a few ideas out of it with you.

 

 

Operational data, a preliminary step to Big Data

While Big Data involves a great deal of external data purchasing, operational data is internal. The ReadWrite article that caught our attention underlines the importance of harnessing this type of data, before making the leap for Big Data.

Mining data for actionable information requires attentive management, accurate analysis, and continuous adjustment, and buying software and raw data doesn’t provide companies with the skills necessary to master these processes overnight”.

In other words, the companies that are new to this need guidance. So do those that have reached the conclusion that something needs to change for the better in the way they do things.

This, as well as trying your hand at the data game by processing operational data, could both use the right partnerships.

The consultants in this field put their know-how and experience at your disposal. Once you successfully deploy operational data solutions, it may be time for big data, or not. Often the optimal solution combines both of the types of data. It all depends on the specifics of your activity.

 

The smaller-scale solutions for digital data, between creativity and customization

Let’s say your organization has a certain operational need. The answer takes the shape of a potential project. Creativity points out a certain type of solution, perhaps even a completely innovative one. When further going into the matter, some aspects become limited by technical elements. You customize down, so to say. What you imagined at a first glance can change. It happens, once confronted with budgeting, resources, compatibility, and project duration or other reasonable expectations.

When done in-house, this stage can be too harsh, or in some cases, not harsh enough. Both are dangerous, because instead of getting things done the right way, you would either settle for a more limited solution, or delay the problem solving by chasing a less realistic projection. By partnering with a software solutions company, you can test these “could be”-s against a backdrop of hands-on experience, industry know how and updated knowledge in the software solutions field.

The second stage of customization can take place when already having a certain skilled software partner. Your operational need can prove one that is familiar across your industry or field. Then the answer to it need not start from scratch. Building upon an already validated solution involves customizing up and the team creates and/or activates new features. Cost-saving and faster, this way of getting a personalized solution is perhaps the most frequent nowadays.

Contact LASTING Software, let’s talk about this and see where it takes us! We are here for your projects!

 

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News

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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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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