The demand for cloud computing services has increased significantly recently. As a result, from USD 495.3 billion in 2022, the global value of this market is estimated to reach USD 2,495.2 billion dollars in 2032. And yet, this development doesn’t indicate a difficulties-free environment. Specifically, according to a study published by Foundry in September 2023, the top 3 obstacles stated by ITDMs (Information Technology Decision Makers) are cloud cost control, data privacy, security and lack of cloud security skills/expertise.
But as challenges often underlie opportunities, the year 2024 promises to be a very interesting one. The team with VON Tech, a company that has more than 10 years experience in helping IT businesses grow, have analyzed the predictions, and now presents you the cloud computing trends that you can’t miss in the coming year.
Focus on cloud security and resilience
Virtual security dangers and cyber attacks are matters of major importance, especially as hacking methods are developing at a fairly high speed. As such, encryption, authentication and data recovery will be heavily emphasized in cloud computing in 2024.
In fact, according to French cloud & big data company Eviden, in 2024, the expected growth in the cloud security space is by ~40%, with increased demand for zero-trust and AI-based cybersecurity services.
Increased popularity for cloud orchestration
Orchestration is the automated process by which multiple interconnected cloud services (such as deployment, management, and scaling) are coordinated to ultimately achieve a unified and functional environment.
Considering the efficiency and popularity of this practice, it is expected that multicloud orchestration (coordinating services and applications from several cloud providers simultaneously) or AI-based orchestration (with self-healing systems) will be widely used in the coming months.
Concerns for sustainable cloud computing
It is no secret that the cloud operates with vast data, involving numerous data transmission networks. The effect? According to the International Energy Association, the emission of about 300 metric tons of carbon dioxide equivalent in 2020, which is nearly 1% of energy-related global greenhouse gas emissions annually.
In 2024, sustainability appears to be a key course of action. Major cloud service providers have all made net-zero commitments, trying to reduce the carbon footprint of both their own operations and those of their customers.
Outsourced AI services for cloud providers
Personalized solutions, such as automatic recommendations generated due to user profiling, or virtual assistants, which support the activity of operators, have become more and more present. But these models work with huge amounts of data and use impressive amounts of computing power, being expensive.
With AI as a service, companies are allowed to use these technologies without having to incur costs for training or hosting them in-house, and without risking their core infrastructure. Basically, cloud providers offer the chance to outsource AI, making it more accessible and cost-effective.
Predictions for tech services in 2024
We couldn’t leave out an overview of tech services in the coming year. According to a Statista survey, published in October 2023, 84% of IT companies are worried about a recession in 2024. Moreover, technology talent is also a persistent problem, with 63% of senior technology leaders surveyed saying that it is currently difficult to hire qualified IT talent.
Fortunately, there are companies that can offer a solution to this problem. VON Tech, for example, is an experienced company that provides hardware design and verification, as well as embedded software development, implementation and application testing services, in the US, Germany, SEE (3 locations in Romania) and UAE. It can also give your business the most agile, cost-effective and top-quality services on the market.
For more details, you can send an email to office@vontech.online. Find the solutions that best suit your business needs!
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Recently, discussions about generative AI have started to become more frequent, giving rise to wide-ranging debates. This technology is increasingly present in many fields and areas of interest, has its upsides and downsides altogether, but there’s one thing that either party – aficionados and detractors – can all agree on – AI has the potential to make the work and efforts of employees more efficient.
As expected, in the tech realm, some software developers could not miss stepping up on the boat that they helped build. As a consequence, there have been multiple iterations of how embracing AI could decrease response times and assist in QA. But the question still remains – do these happy encounters speak for the whole, do software developers and generative artificial intelligence really match?
VON Tech, a company with more than 10 years experience in helping IT businesses grow, helps us with some insights in the following analysis.
It’s a fact: technology can simplify the work process
First of all, it is worth mentioning that completing tasks can be facilitated with the help of artificial intelligence. Joe Welch, principal and technology leader for a division of The Planet Group, comments: ”By incorporating GitHub Copilot into VS Code for a recent project, we saw programmers reduce ten-minute tasks, such as writing a small function, down to the 30 seconds it took to simply write out a comment that explains the function”.
However, time efficiency depends a lot on the developer’s experience and the task itself. The results of a study published by McKinsey in the summer of this year demonstrated it. Specifically, time savings were below 10% for tasks considered to be of high complexity. Also, for some of the developers with less than a year of experience, tasks took 7 to 10% longer with the AI tools than without.
Developer’s expertise vs. AI’s capabilities
The same study indicated that examining code for bugs and errors was not always performed in an exemplary manner, with incorrect recommendations and even introduction of errors into the code. Moreover, AI does not have the ability to fully understand the needs of a company and the particularities that must be taken into account when working on a project. So the claim of a participant in the McKinsey study who said ”[Generative AI] is least helpful when the problem becomes more complicated and the big picture needs to be taken under consideration” is totally justified.
And yet, the segments that can benefit from the help of AI in a hassle-free manner cannot be overlooked. Repetitive tasks, part of the routine, such as auto-filling standard functions used in coding or documenting code functionality in a given standard format, can be completed successfully. So developers have more time to deal with complex problems and upgrade their skills. In addition, this tool can also be used to speed up updates to existing code by adjusting the code according to criteria provided by the developers.
The human factor and the technological one, such a great team
One thing is certain: artificial intelligence will not “take over”, but will only support developers to make their work more efficient. Therefore, the need for talented staff with good skills and anchored to the latest changes in the field will be constantly present.
VON Tech is ready to help with this. It is an experienced company that provides hardware design and verification, as well as embedded software development, implementation and application testing services, in the US, Germany, SEE (3 locations in Romania) and UAE. It can also give your business the most agile, cost-effective and top-quality services on the market.
All you have to do is send a message to office@vontech.online and discover which solutions best suit your business and its needs!
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In 2021 it seems we’ve had 2 constants: the world living with the coronavirus pandemic and a steady flow of tech acquisitions.
Global tech merger & acquisitions deals last year totaled $634 billion, a 91.8% year-over-year increase, according to GlobalData. And some of the big deals were the $35 billion acquisition of Xilinx by Advanced Micro Devices and Salesforce’s $27.7 billion acquisition of Slack.
But they’re not the only ones worth looking at. We’ve selected some other tech acquisitions that took place this year which will most likely reshape de tech environment as we know it.
IBM delves into observability for customers
IBM announced the acquisition of Turbonomic at the end of April.
Turbonomic specializes in Application Resource Management (ARM) and Network Performance Management (NPM) software. Turbonomic uses machine learning to spot application performance issues and optimize underlying resources. This applies to containers, VMs, servers, storage, networks, and databases.
This acquisitions will help IBM offer a greater range of AIOps and observability options for customers. This will happen particularly through its IBM Cloud Pak for Watson AIOps.
Microsoft boosts its upstream open-source contributions
Microsoft made a move to boost its capabilities in the Kubernetes space with the acquisition of German firm Kinvolk. This also took place in late April.
Founded in 2015, Kinvolk has been building enterprise-grade tools to help developers adopt cloud-native technologies. These technologies are Kubernetes, Flatcar Container Linux, as well as the Lokomotive and Inspektor Gadget projects.
Microsoft expects to integrate the Kinvolk team and technology into the team responsible for its managed Azure Kubernetes Service (AKS). This will boost Microsoft’s upstream open-source contributions.
UiPath takes step forward for its enterprise-ready platform
On March 23rd, RPA vendor UiPath made an addition of its own, picking up the Denver, CO-based firm Cloud Elements.
Cloud Elements specializes in API integration, similar to Mulesoft and Apigee, which are now part of Salesforce and Google, respectively.
For UiPath, a Romanian-born start-up, this capability could allow customers to better link processes that span various enterprise systems to build more effective automations.
SAP digs deeper into cloud-native enterprise intelligence
German software firm SAP announced it’s acquiring fellow German firm Signavio, which specializes in cloud-native enterprise business intelligence for processes and management, in late January.
This acquisition will add Signavio-designed solutions to the bundle of existing SAP software and services aimed at offering customers “business transformation-as-a-service”.
SAP will aim to use Signavio’s expertise around business process intelligence to help more customers optimize these processes as they become more digital.
Qualcomm strengthens semiconductors market position
No doubt about it: 2020 brought a burst in semiconductors consolidation. So hot on the heels of this phenomenon, Qualcomm announced it was acquiring Nuvia in early January. This 2021 tech acquisition led the way to the upcoming M&A operations of the year.
Nuvia was founded by a team of Apple engineers and makes high-performance CPU chips.
Together, the two companies will be positioned to deliver a new class of products and experiences for the 5G era.
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Neuroscientists from MIT have discovered that brain activity while coding differs from processing language or doing mathematics.
Coding is matched by many with learning a new foreign language. And, granted, there are certainly many similarities. To the brain itself, however, it seems to be quite different.
Researchers took fMRI brain scans of young adults in a small coding challenge, using both Python and visual programming language ScratchJr. The purpose was to see what parts of their noggins lit up.
Almost no response was seen in the language processing parts of the brain.
Instead, it appears that coding activates the ‘multiple demand network’ of our brains. This area “is also recruited for complex cognitive tasks such as solving math problems or crossword puzzles.”
Yet when solving maths problems directly, slightly different brain activity patterns emerge.
The multiple demand network is spread throughout the frontal and parietal lobes of the brain. Previous studies have found that math and logic problems dominate the multiple demand regions in the left hemisphere. Tasks involving spatial navigation lean on the right hemisphere more than the left.
Coding activates both the left and right sides of the multiple demand network. This counters the belief that it causes the same brain activity as maths. One interesting fact: ScratchJr activated the right side slightly more than the left.
You can find a full copy of the study here: https://www.biorxiv.org/content/10.1101/2020.04.16.045732v2.full.pdf
You might also find interesting: https://vontech.online/ai-automated-coding/
Guido von Rossum launched Python on February 20th, 1991. Python is known as an incredibly versatile language. It is used in developing some of the most popular web applications, from Instagram to Dropbox.
At the same time, it is a gateway language for many in the world of software development.
Moreover, it is frequently taught to schoolchildren and people worldwide who lack any prior programming experience.
Read more details here: https://vontech.online/study-python-is-the-top-programming-language-of-2020/
One reason for the popularity of this programming language lies in its simplicity. Its users do not need to understand compilers or assemblers. They also don’t need to understand other tiny details programming languages require.
Feedback is instant, and Python is improving all the time. In addition to its popularity among entry-level users, Python is rapidly becoming a priority within the business environment. It has also found favor for serving as the ‘gluing language’.
Large development projects always have a trade-off between scale and speed. The typical software stack that a large organization uses every day may include code written in several different languages. Moreover underlying data may be stored in numerous formats, languages, and locations.
In such environments, Python has taken root as a subtle, but powerful way to bridge between different applications and code libraries.
When Python is used as gluing code in compiled languages, development cycles are shortened. Results are made more interactive and are quicker to observe. At the same time, the delays caused by things such as long compile times are eliminated.
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Researchers from MIT and Intel have created AI automated coding. Its name? MISIM, an algorithm that can create algorithms. What does that mean for software developers?
For most of us, writing code is like learning a foreign language. But no more! A team of researchers from MIT and Intel are looking to change all that by building AI automated coding.
The new technology is named MISIM (Machine Inferred code Similarity). MISIM studies snippets of code to understand what a piece of software intends to do. It uses a pre-existing catalogue of codes and it can understand the intent behind a new code.
Will this actually help software developers? The Intel-MIT team says yes. MISIM will help developers working on software by suggesting other ways to “attack” a program. MISIM will also aid them in offering corrections and options that will make the code more efficient.
The principle behind MISIM is not new. Technologies that try to determine whether a piece of code is similar to another one already exist. They are used by developers, but they focus on how code is written and not on what it intends to do. MISIM can act like a recommendation system. It suggests different ways to perform the same computation – that are faster and more efficient.
Software development becomes more and more complex. Technologies such as MISIM could have a significant impact on productivity. This was the opinion of Justin Gottschlich, the lead for Intel’s machine programming research team.
More details about the MISIM algorithm here: https://www.zdnet.com/article/software-developers-how-plans-to-automate-coding-could-mean-big-changes-ahead/
You might also find interesting: https://vontech.online/study-tech-trends-in-pandemic-times-1-in-4-people-learned-to-code-during-lockdown/
Year over year it’s interesting to study the evolution of in-demand skills in the software industry and this year for sure makes for an interesting time frame to study.
According to an article published by www.developer-tech.com, which cites a study made by career website Hired, the most notable surge in 2020 – where demand for software engineers in the US is concerned – is for AR/VR talent – with a whopping 1400% increase in comparison to 2019.
The explanation is very simple: as per IDC predictions, the AR/VR market and subsequent need for skilled software engineers was enjoying about 60% of the total spending on software solutions in 2018. Within a 3 year margin, by the end of 2021, it is expected to hit 85%, with retail, transportation, manufacturing and public sectors needing services from these software engineers on the top of the chart.
AR/VR and why it’s so in demand in the United States
On a geographical basis, North America is found to be the region that invested heavily in the AR/VR market in the past 12 months and is forecast to witness the fastest growth in the next 5 years. Moreover, salaries for AR/VR software engineers jobs range from $135k – $150k in major US tech hubs. Monetary incentives aside, developers are also looking to get started toying with the emerging technology, with 46% of software engineers ranking AR/VR as one of the top 3 technologies they’d like to learn in 2020.
Gaming and computer vision engineers come in 2nd and 3rd
After VR/AR, the second biggest growth of in-demand talent was seen for ‘gaming engineers’ and ‘computer vision engineer’ roles – both witnessing 146% growths over 2019.
Demand for ‘search engineers’ increased 137%, whereas for ‘machine learning engineers’ increased 89%. Blockchain talent is still in demand, shy off 2019, with a 9% increase.
Most in demand programming languages
As per the study, some of the most in-demand programming languages are Go, Scala, Ruby, TypeScript, Kotlin, Objective C, JavaScript, Swift, PHP, Java, HTML, and then Python.
Some of the less in-demand languages are, unsurprisingly, some of developers’ favourites. Python, JavaScript, and Java are developers’ favourite languages but are behind several other languages in demand – including three of developers’ least favourites (Ruby, PHP, and Objective-C).
Developers’ satisfaction increases productivity and product deployment. It’s all-official and on the record, according to a study cited by www.developer-tech.com. So if you’re a company operating in software providence services, you might find the following study useful, not only for personnel recruiting, but also for your developer personnel satisfaction and workflow efficiency.
There’s a clear connection between DevOps and developer job satisfaction – according to findings, published in April this year: developers working within mature DevOps practices are 1.5 times more likely to enjoy their work and 1.6 times more willing to recommend their employer to other fellow developer prospects.
Mature practices boost code deployment in 2020, as compared to 2019
The study cited by the afore mentioned website reveals that development velocity is quickly gaining momentum, with 55% of developers deploying code to production once every week at a minimum – a 3% surge to last year’s standings. Operations velocity also increased as compared to 2019.
The major differences in investment priorities between mature and immature solutions can be found across Container Security, with mature practices investing 2.2 times more than immature practices.
Security applications: there’s room for improvement
Here’s one other interesting finding brought out by the study: 47% of developers acknowledged that they didn’t invest in security despite its importance.
The study also shows developer teams would rather invest in automated security tools, including open source governance (44%), web application firewalls (59%), and intrusion detection (42%).
The method that most tech titans employ, which assures the success of their product release, is Design Thinking. Design Thinking helps to discover the real problems that users are facing and creates useful products they will love.
Here are the three steps to unlocking the secret of Design Thinking:
Step 1: In design thinking, you should employ desire as a main trigger to your users’ needs
Great design thinking often starts with the needs of users. You’re looking to discover the pains that users experience and the gains they desire.
Take telecom giants, for example, who create desire for customers by combining simplicity with luxury. Such a business ethos has helped them be some of the most profitable companies in the world.
Step 2: Make sure your product is viable
When early adopters are prepared to pay for your Minimum Viable Product (MVP), then you know you’re on the right track to viability.
Building an MVP requires you to develop as little as possible to meet the customer’s primary need.
A major part of design thinking – the economics of your product viability – can be tested by balancing the costs, as well as the revenues, from an early adopter usage.
Step 3: Always keep in mind your product feasibility
Another crucial step in the design thinking process also involves some operational considerations such as time, budget, scope and resources. These product development characteristics can play a significant role in the life of new products.
Also bear in mind that first-time products are full of hidden costs and unexpected problems. Sometimes these challenges, inferred by any design thinking process, are more than just a stumble along the way and can hinder a product before it’s launched.
Why R&D helps in the design thinking process
Our team offers research & development (R&D) services for design thinking type projects that entail long-term support and require solutions for our customers.
Our team is dedicated to identifying technologies that will become mainstream in the future. We focus on truly understanding our customers’ businesses and on chartering strong development plans, taking into account success scenarios, as well as challenges that may occur.
Hardware and software development outsourcing is beneficial in 2020, especially seen as the coronavirus pandemic has shuffled business processes worldwide.
By choosing the right tech outsourcing partner for your hardware and software development needs, you gain some major benefits.
How to choose your tech outsourcing partner
1. A reliable tech outsourcing provider helps you with the complex operations set, security, and scaling decisions.
2. A tech outsourcing partner you can count on will present you with growth opportunities in new market areas.
3. A long-term tech outsourcing partner actually closes the gap between your point of service delivery and the end users.
What are the main advantages of tech outsourcing
1. You can save costs and lower your taxes
Your company will have lower labor costs as you will not spend money on recruiting, training, and retaining the employees.
You will have access to trained resources on hire – a tech outsourcing already set up team – and also get tax savings as well.
2. You can save time on recruiting & training in-house teams
By partnering with a tech outsourcing vendor, you are able to save the time that is needed to recruit and train the in-house team for the same functions.
3. You can gain access to new resources & technologies
Your in-house professionals may not be always in sync with certain technologies that you may require.
A team of tech outsourcing professionals, who are hands-on connected to new trends in their field of activity, can get your projects up and running faster.
Reliable IT companies offer expertise and experience that is needed for early adoption of a new technology.
4. You can focus on your core business & development scenarios
When you outsource professionals to handle certain functions, you free up the internal resources to look after some other business-critical process.
5. You can invest time and money saved on fulfilling more meaningful requirements of your company.
At VON Consulting, we mobilize resources, providing support for the company’s day-to-day activities. This integration is done with our best technological talent, enabling our various partners to achieve their objectives.
We, at VON Consulting, therefore have professionals who have been especially trained and have experience in the engineering and IT world to attract talent for all kinds of projects. The goal is for our clients to have the right technicians for their projects and that, at the same time.
Digitally progressive organizations can make full advantage of tech outsourcing and what they gain by outsourcing IT & technology services. If you need in-depth, personalized advice, feel free to contact us.