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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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Tech

5G links to Smart Manufacturing, which links to Industry 4.0. In fact the last two may be seen as one and the same thing.


Smart manufacturing and the Smart Factory is a broad category of manufacturing with the goal of optimizing the manufacturing process. Smart manufacturing is the process that employs computer controls, modeling, big data and other automation to improve manufacturing efficiencies.

Source


Although some big players are still reticent, important 5G promoters continue to develop this technology. Moreover, hands-on demos illustrate its key qualities. Continuous process monitoring is one of the areas 5G should bring shorter lead-times, while returning higher yield.

We took a look at one article occasioned by this year’s Industrial Manufacturing Show held in Chicago:


Industry 4.0 will rely on increasingly fast, secure, and often wireless, data transfers to optimize operations, increase automation and mitigate risk in manufacturing environments.

 

Potential 5G early adopters


Various sensitive industries that would highly benefit from a reduction in the production errors are potential early adopters.


The 5G article mentions the aeronautical industry and the manufacturing industry – when focusing on the production of sophisticate components.


The scope here is to make the collecting and processing of the sensor data, as well as the action of cutting control, take place in under one millisecond.


Research has pointed out that for this type of demands, “5G and cellular wireless can deliver, with its ultra-low latency and high reliability”.

 

What does 5G mean for industrial production?


As mentioned above, no network solutions before 5G have been able to provide instant monitoring and adjustment during production.


An extra benefit is that by storing production and sensor data for each manufactured product, the 5G supported manufacturing enables real-time digital twins. Whenever needed, this data is available and ready to serve in research, analysis, and risk assessment, or to answer other possible demands.

 

While waiting for 5G future developments


As our colleague Ionel Petrut, Project Manager at Lasting Software, mentioned in his presentation held this year for the SACI conference (IEEE 12th International Symposium on Applied Computational Intelligence and Informatics, SACI 2018, Timisoara, Romania):

 

The Internet of Things had a very big impact on the technology as we know today. One important aspect, not yet standardized, is the way in which objects connect to the network to function together. In particular, in the medical field, the Internet of Things faces a high number of technical limitations, most of them related to the electromagnetic emissions.

Until the 5G network will create the infrastructure for sensors to directly connect to the Internet, the connection through Bluetooth Low Energy remains the most suitable solution for Internet of Things connectivity.

 

We prove our software engineering skills and professional commitment by mastering the current technologies involved in the projects we are part of. But we also keep an eye on the latest developments, dreaming of the bold new world of fully deployed IoT capabilities.

 

Contact us for consultancy and partnerships – the future awaits!

 

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Tech

Wearables rank on top of the currently available (and emerging) digital solutions for preventive healthcare. Studies anticipate that the mass-scale implementation of wearables would change human behavior. All this in ways whose amplitude should match the other big digitally-induced changes that we’ve experienced in the past decade.


Computers would have morphed into a new, progressive sense of the term. One of the sources we’ve browsed introduces the “collective wearable” notion. By carrying wearables around, people will provide mobility. Mobility means an enhanced digital perception for this huge network of sensors.


Of course, these devices need to collect, deliver, and answer to commands based on processed data, a thing that requires software. A new generation of software for miniaturized devices would roam around, in the shape of watches, glasses or even part of our garments.


Preventive healthcare, giving wearables a noble use



Which one of us can say he or she doesn’t care to find out details about their health? When it comes to self-centered preoccupations, the adults of today are more responsive than those of past days. We may even compete with kids in our eagerness to connect our wellbeing with the digital environment. Who could resist a visually attractive, efficient and well-promoted device? Especially when it provides precious insights about our body. We would have metrics about the way we sleep, breathe, and exercise, about various physical systems and functions.


Of course, these devices would also link the people who wear them with their physicians. Remember a couple of years ago a nanotechnology that reported whether a patient took the prescribed pills or not? Similarly, doctors could monitor the persons in their care . Remotely. The software layer of this wonderfully connected system would deliver a continuous or periodic stream of data. The wearer would link straight into the dedicated software, into the medical network itself. Notifications and/or warnings could prompt the care professionals to intervene when needed.


The actual healthcare potential is huge. So is the preventive healthcare digital market. With a couple of problems out of the way, the manufacturers can expect a boom. For once, the measurements need to be accurate. Another major issue already publicized would be the cyber-security one. No one wants to carry around his/her wrist an open invitation to hackers everywhere.


Both risks point out a key element – quality is needed. High-quality embedded software and software engineering in all layers, from the UI to the data processing system.


Perspectives


How to be successful and build/maintain a notable reputation in the healthcare wearables market? All the involved entities need to make sure quality and reliability are their main goals. With the potential audience spanning worldwide, you would want to get it right from the first time.

Software solutions partners that have accumulated experience in digital healthcare so far are a wise way to go.

As you may have noticed in other posts, we have the know-how and experience that your digital healthcare project needs. Contact us for details!

 

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Tech

Industry 4.0 is about to dawn upon all industries. It means cyber physical systems, IoT, networks and everything between. It means software solutions and services taking over every possible functionality. You will see your business transforming into its upgraded, better, faster, mobile version.

Also referred to as a sum of trends, this phenomenon companies have already started to experience is not an “if” anymore, but a “when”. To find out what exactly can you expect from it, we recommend you an article this week. It is authored by Pete Durand, an industrial automation expert with a vast experience in the field. This article sets out to reveal and exemplify what it means “to modernize manufacturing processes, manage risk, and improve the accuracy, distribution and integrity of data”.


The main pillars of the Industry 4.0 stage

 

Most of you would have heard of these key elements/area by now. The surrounding publicity is massive. The most inquisitive entrepreneurs were surely aware of them, even before the online media dedicated huge amounts of materials to these main topics.


The author chooses to focus on:

 

– IoT (with a twist, since he introduces the IIoT);

– Big Data, as a “a natural progression beyond IIoT”;

– Cybersecurity, as a critical need of data protection in a hyper connected world.

 

From his professional experience, Mr. Durand extracts yet another underlining element of importance. Documentation is a must have. Keeping a company on the forefront of technology makes documentation increasingly critical. The personnel may change. Thus, any organization needs to have a continuously updated history of what, when and where was set up, configured, build, implemented and maintained. When outsourcing, make sure to document changes, in partnership with your service providers.


Think about it…


Yet another thing that all companies need to be aware of – industry 4.0 is not cost prohibitive anymore. A multitude of devices are now available, and they all do their job. With due diligence and the proper consultancy, the best match for your business is not difficult to find. Capturing the right data is the next affordable step, then you need to upload it into the cloud type of choice (public, private or hybrid). Well, actually it is more a question of direct transmission. Process the data, get the key insights, deliver these to the decisional factors, and then repeat. In a nutshell, Industry 4.0 delivers the power of ubiquity and globalization, as well as the means to harness it, to your organization.


Partnerships are the future in the Industry 4.o


The scope of a company’s activity might be different from anything that has to do with software or even IT in general. Keeping that focus implies partnerships with software solutions companies. Consultants, software developers and software managers deliver the solutions you need.

Technology becomes viable, efficient and easy to work with. Translating needs and requirements into digital tools, your software solution partners allow your entire business to upgrade to the Industry 4.0 stage. Together with them, you can even provide your own customers with tailor-made software solutions.

What do you think of this perspectives?

 

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Tech

Code reviews are part of any software development environment. Not the most pleasant part, in what a developer is concerned, since it involves his/her work being scrutinized and it may feel stressful, “but it’s also one of the best ways to get feedback on your code, to catch typos and mistakes, and, more broadly, to grow as an engineer”.

In order to take some unnecessary pressure out of this process, there are tips & tricks synthesized in the online media that help both code developers and code reviewers make the best out of this stage. We asked a few collegues here at LASTING Software to help us select a few best practices/rules/recommendations.

Let’s review some of them, starting with the most quantifiable ones.

 

5 practical rules for code review

 

A developer should review less than 400 lines of code at once;

Keep the inspection rate at a density of less than 500 LOC per hour;

Try not to surpass 60 minutes at once without taking a break, if you want to keep a high performance;

Establish tangible, measurable goals for the entire process;

Use code review procedures that can be followed and tracked (checklists, collaborative tools, fixing processes to be implemented).

(Selected from Best Practices for Code Review, as presented by SmartBear)

 

5 recommendations for developers

 

Prepare a quick summary where you explain the problem and the proposed resolution;

Auto-review, prior to someone else reviewing your code, so you can trim some of the problems yourself;

Communicate – by using annotations to highlight all the soft spots, and tag the right people involved in the project that might clarify these problems you feel you need a second opinion about;

When the reviews are back, remember the importance of team work and concern yourself with their utility and processing prior (and over) feeling anxious;

Refactor changes without altering behavior.

 

5 recommendations for code reviewers

Always keep in mind the code purpose and the project scope;

Ask clear questions whenever the functions and classes reason does not reveal itself;

Be clear when highlighting the problem you have identified, and propose alternative solutions;

Write the reviews in a neutral and concise manner and avoid absolute judgments;

Don’t forget to mention the good things you notice – keeping it clear you review with the overall quality in mind, not just to hunt the errors.


You may find more useful advice, examples, and technical guidelines related to code reviewing in our third source of inspiration for this article – on Medium.

 

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