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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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Tech

A clever Forbes editor once remarked that customers in fact couldn’t care less about IoT. End customers buy solutions, regardless of whether they are supported by an IoT structure or something entirely different. It’s the job of the provider to enable seamless solutions, which can stand in the background or step in the limelight, as per customer wish. The hardware has to be great, but so does the software.

Combine this with the way hardware production evolves from an exclusively hardware ecosystem into a combined, software-empowered environment. Now let’s think about software as a differentiator. There is no doubt the importance of top software solutions progressively increased, sometimes even in spaces previously outside the classical software development area.

The end customer, whose superpowers make or break businesses, wants a faultless, amazing experience. Being more or less aware of the backstage of his/her digital experience is a secondary fact. Either way, what makes the difference is quality and seamless functionality. Software solutions need to deliver exactly this.

 

Controlling what you provide in terms of software is safer for hardware producers

With past cases of (cheap) embedded software that tanked lines of products due to them being vulnerable to cyber-attacks, the industry increased their awareness. It became clear that hardware-related responsibility now included software-derived issues. As a consequence, control over your software and its development process, extra guarantees that it’s a quality-mindful and compliant product in itself – all these became very important.

For some big players in the field of hardware manufacturing this realization came way before the alarm triggered by cyber-security incidents. With the insights and the resources at hand, they made sure (or tried to, anyways), that quality software engineering goes into their products, be it in-house or externalized.

When following this pattern, other organizations upgrade their chances for success, as well as their operations. Just look at the technology news – great devices are worth considerably less when the software lets the users down. It’s a “definitely not like this” scenario, if not even a nightmare one.

Therefore, when looking for your software solution partner, don’t try to cut corners. Look for experience, perfectionism, professionalism. Look for talent, innovation, creativity.


In fact, give us a call or an email, because we tick each one of these boxes. Let’s meet each other and find out how we can be the team that delivers excellent products to customers everywhere!

 

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Leadership

ZDNet takes a look at the AI and Machine Learning predictions, in what the business environment is concerned. Expected to surge in 2019, the rapid adoption of these new technologies also brings different business challenges.

The article mentions the necessary (and huge) shift that is absolutely required for organizations to thrive. Going from buying “black boxes that will fix our problems and offer us solutions” – as the publication puts it, to the next stage, won’t be easy.

A passive attitude welcomes possible cases of “algorithm sprawl, project management issues, and vendor hype”.

But what modern, wise organizations do? How can we all avoid the so-called bad implementations of AI & ML?

 

 

Who will have to handle AI data?

Since data science is not a magic  trick – although sometimes it may seem so – in order for it to work, key people in your company come in. Apparently, “everyone from mid-level managers to C-level execs are going to use this AI”. They also need to understand how to use it, to be prepared and aware of this new age of technology.

Therefore, determining who will work with your AI data is absolutely necessary. You need the big picture before going into details. However, getting the right big picture requires experience.

Use experts – get consultancy as an ally in this big battle. You want to understand what will be going on, and someone who can put the process into perspective can make you go a long way. Having worked with systems, apps, connected data, Artificial Intelligence and data science, professional consultants can provide a reliable blueprint. How will it work for my business? The answer to this is much more accurate when you obtain it with the right guidance and assistance.

 

What does your AI data need to provide answers for?

As the article we’ve mentioned lists, operating Big Data generates effects that go beyond the lucrative insights.

You will also need to have a strategy and to deliver reports to your board.

As the process evolves at a global level, you will need to choose the most suited AI services pack – from the big tech cloud providers.

Data scientists are still scarce, and the models you will be dealing with lack transparency.

The AI-trained professionals are also scarce, and this specialization just made its way into the academic curriculum. For now, hands-on experience prevails.

Your AI data needs to provide answers and guidelines for all of the above, and more. You will be working with a tool with huge potential that you barely understand. Nevertheless, you need to move relatively fast while making the best choices. The AI tools unleash their potential on the go. Add an extra layer of software solutions – and you have a new functionality. Get on board with the best cloud provider, and you will be able to deploy your tools next-level style.

 

Prepare for the next step, by getting a partner that understands the new technology

It’s not only AI. As we’ve seen, it’s also Machine Learning, Big Data, algorithms, analytics, IoT, embedded sensor software, various layers that have to integrate with each other.

Working all these out into the strategy of your company, while resetting certain functionalities and expanding others – this won’t be easy.

As all things good and new, as overwhelming as it may seem, it needs to be done. The sooner, the better. Make the first step and choose a reliable software partner, one experienced in business digital transformation. Call, talk, schedule the meetings you need, soon you will have a whole new perspective on the matter.

 

We are here for you – our know-how and experience are both rich, and our eagerness and innovative spirit are the right match for this future of technology.

Contact us and let’s find out more about how a potential partnership may look like, and what it can do for both of us!

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Tech

The modern economy favors software offshoring and outsourcing. Rich countries deindustrialize and a wave of structural transformation ripples globally. Therefore, companies reshape their boundaries. Consequently, the desire to increase the quality of services and to save costs materializes in outsourcing partnerships.

Software development outsourcing follows the trend

Externalizing the software development needs is a common business practice. While it is not deindustrialization, it is a form of process acceleration. The HQ staff design and coordinate, and the third-party handles the software engineering processes.

Get the overall image from this VoxDev comprehensive source-article. You will find out what is the forecast, as well as what are the biggest challenges the business world is facing now. You will be able to put software outsourcing into context.

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