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Tech

Due to financial restraints and reluctance, as well as to economic differences, the way in which organizations worldwide implement and approach new tech (from the digitization, automation, Big Data, analytics, connectivity, IoT, etc. group) is inconsistent.

For example, we took a look at the random user intercept site survey fielded on ZDNet and TechRepublic, based on European users having voluntarily answered tech-related questions. The results in its first phase (responses in October 2018, coming from 142 qualified users) show very low active IoT initiatives and a low budget allocation for this sector.

Meanwhile, the mainstream experts note that investing in new tech is no longer a luxury, but “essential to keeping your business’s costs down, your profitability up, and your company thriving”.

 

A glimpse at the IoT-related situation in the European field

 

Back to the study mentioned above, let’s see a couple of figures:

 

*42% of the respondents say they have an interest in IoT, but have no active initiatives;

 24% of them say they have a limited number of IoT-related functions in operation;

 

*1-9% of the respondents mention that 36% of their budget is directly related to their IoT-based initiatives;

 10% say that over 50% or more of their budget is directly related to their IoT-based initiatives

 

*a maximum of 18% of the respondents list IoT as a top priority in their organization, for various lucrative purposes

*a maximum of 49% of the respondents list IoT as a top 3 priority in their organization (figures vary, depending on purpose)

*51% of the respondents list ensuring the security of IoT network/devices as the top challenge in using IoT in their company, followed by integrating IoT into their proprietary networks and by the learning curves related to the new technology

For those of us who work in B2B it should be easy to compare these with the situation in the field as we know it. Although this study so far provides only partial unrefined results, it clearly shows polarization around certain issues.

 

A few recommendations for the organizations caught in transition

For those who are interested in new tech, but still are indecisive whether to see it as a luxury or a necessity, the article we found on ReadWrite provides a schematic guidance. Such organizations should consider the following:

  • Quality software should always be the choice, and furthermore the companies should spend money to ensure they have the best technology expertise. Going for doubtful software and no experts is simply self-sabotage.
  • New tech in streamlining business processes is the way to go, since it levels the playing field with your peers, as well as your customers. Predictive maintenance and reducing errors via technology is so this age, that those who are top in their field can’t even conceive functioning without it.
  • A strong relationship with the modern customer means new tech, which makes sure the customer experience is within the modern, expected parameters in the industry.

For more details on how businesses should “integrate new tech into (their) business in a way that cuts (…) costs, increases revenue, or provides more value to (…) customers”, see the source article here.

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News

This week we focused on autonomous vehicles, inspired by this Innovation Enterprise post that targets the decisional factors inside organizations. All those concerned need to prepare in advance for the incoming changes that are set to affect industry after industry. Just to have an idea about the scale of the disruptions, their certainty and their character, let’s go through this topic, the way the mentioned publication approached it.

Autonomous vehicles will pervade the logistics and transportation fields, and the legal adjustments point to this

Firstly, we should notice that the article looks at the way autonomous vehicles progress in the US environment. Therefore the presented implications and legal changes are in relation with this geographical area, for now.

The Department of Transportation recently issued a new guidelines document of 70 pages. The officials stated that they changed the definition of “operator” and “driver”, to allow for AI-driven vehicles.

Based on this major change, those in charge of businesses in which such vehicles might play a role in the future should prepare in advance. Exactly how will autonomous vehicles impact such businesses? Advice for determining the future impact of the changes to come is included in the article.

Mapping out what companies will drive this type of change is yet another step in the process of getting ready for it. Autonomous vehicles come with AI (Artificial Intelligence). Companies such as Google, Tesla, or even Dominos Pizza made no secret out of their AI commitment.

Besides keeping an eye for the moves of such innovators/adopters, investing in stocks related to AI is a second option many will consider.

 

Going fully driverless means high technology and overcoming any security issues in autonomous vehicles

Analysts have estimated that going fully driverless is an option that could become real in transportation around 2030 or half 2040s. We are talking trucks and goods delivery, and the figures already point out considerable cost saving benefits and not only.

The road to this stage may seem long and surely it’s a winding one. However, the first official and regulatory step may well be the new definition of what a driver is.

On the other side, road safety and cyber security concerns show the need for high-performance, fault proof software and hardware. Those solutions that guarantee the safety of all those taking part in traffic are the only way to move forward.

Going fully driverless in transportation and delivery does not yet have consumer acceptance. Autonomous vehicles still have some way to go until convincing the majority of people they are in no way a risk on the road. In any case, they still have to prove not being a bigger risk than the vehicles with human drivers.

Autonomous trucks generally officially operate at what’s known as Level 2, an engineering standard that includes technologies such as automatic braking, acceleration, and some amount of steering. (Basic cruise control, by contrast, would amounts to Level 0, and certain features such as lane-assist or adaptive cruise control would be Level 1). However, autonomous trucks are often effectively operating at Level 4 – or “high automation,” with their safety drivers generally only taking over on local roads.
– Richard Bishop, an automated vehicles industry analyst, quoted by US News

Image credit: curbed.com

 

 

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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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