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Tech

With the highly demanding industry environment and unique challenges in the medical field, the manufacturers need to make use of automation, in order to stay ahead of their competitors.

Entire factories have to meet the strict compliance requirements in terms of “product testing, inspection, packaging, and storage and retrieval” – as the Internet of Things Handbook by Design World puts it.

Big software platforms, as well as customized, smaller-sized solutions seem to share one common feature. A feature which comes as a welcome answer to the healthcare industry current needs:

The key to achieving the goals of manufacturing accuracy and high throughput with medical devices is not simply a matter of adopting more automation. It lies with the core principle of Industry 4.0, which is to combine automation and IT (information technology)

Automation expands from production towards Business Intelligence, becoming an Industry 4.0 –type automation

First, let’s see the McKinsey upgraded definition for the Industry 4.0 phenomenon (same source as above):

(Industry 4.0 is) the next phase in the digitization of the manufacturing sector, driven by 4 disruptions:

  • the astonishing rise in data volumes,
  • computational power, and connectivity, especially new low-power wide-area networks,
  • the emergence of analytics and business-intelligence capabilities,
  • new forms of human-machine interaction, such as touch interfaces and augmented-reality systems, and improvements in transferring digital instructions to the physical world, such as advanced robotics and 3-D printing.

Combining automation with IT is an element you will often find in the presentation of various software solutions companies. It’s the next logical step, bringing automation to the fingertips of various employees. The expectancy of having a data scientist and a valuable process manager (or even a basic worker) in one person is a far-fetched one. Therefore, the technological progress represented by automation needs to become available on all levels, via friendly UIs.

Through this important move, manufacturers may go from merely automated production processes towards the use of data in order to improve these processes.

Add the right software solution to your operations, and not only will you be able to “tell” each machine what you want it to do, but you will “understand” what the machines need, to deliver better results.

In other words, this human to machine communication turns from a monologue into a dialogue, via data collecting and processing, and the resulting valuable insights.

 

Software solutions asked to deliver error-free processes, as well as reliable system status reports

All over the industries (that is, not only in medical manufacturing), professionals need to meet this double demand. The production needs to be accurate and fast, while excluding as much as possible the security risks.

When the software solutions employed in production are cyber-secure, the possibility of induced errors is down to zero. What remains is the risk of random errors – which can be eliminated by teaching the system how to improve itself.

Since there is no teaching possible without knowing what you have to teach, system reports, as well as event/incident reports are essential in improving the processes.

Another important role played by system reports (to be understood as “interpreted data”) is that of change triggers. It may be that risks are down to a minimum, but you need different solutions, creativity, innovation. Again, by making use of the automatically-processed data, one finds the necessary resources to launch useful changes, or even bold ones.


Whatever your software solutions needs may be – contact us and let’s talk about what we can do for you. With the considerable experience we have in healthcare solutions, via the software solutions partnerships in which our specialized team excelled in delivering leading industry results, we can provide consultancy, development & implementation tailored to your precise requirements, asap!

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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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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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