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  • Writer's pictureDr. Bohdan Tanyhin

Top Information Technology Trends 2023

A new business year always starts with setting up the corporate roadmap. To plan your corporate budget and be competitive in the market, businesses need to foresee what technologies will be trendy. Correct investments into technology trends lead to progress and augmentation.


Tech sector monitoring still is a powerful choice for business growth. Let’s have a more detailed outlook with Sencury.

New technology trends 2023: digitalization, AI and  ML, cyber security, datafication, edge computing, smart devices.

Further Digitalization

Many industries became digital and automated their processes years ago. However, some businesses are only initiating automation and the relevant changes now. And the others have only made plans to do so. This year, to achieve a highly efficient system, it is required to incorporate different technologies, platforms, and tools together.

The most popular merging includes natural language processing (NLP), Artificial Intelligence (AI), machine learning (ML), Robotic process automation (RPA), etc. The system of a kind would be accurate, require less time, and be without manual or human work. Thus, it is extremely time-saving and cost-effective. This tendency will work for different organizations further.


Artificial Intelligence and Machine Learning

Generative AI is going to be the most expected technology to develop and enhance. What today’s AI does to businesses is actually a productivity revolution. It automates operations and transforms industries. Tasks that humans initially carried out manually can be automated, and advanced. To achieve automation, organizations need to focus on

  • Chatbots. A unique AI-driven chatbot can answer customer inquiries, reduce response time and add significantly to the best user experience. For example, the newest chatbot is ChatGPT. Read all about it in our recent article “What does ChatGPT mean for your business?”

  • Personalization. We have all seen what personalized recommendations look like. AI-powered training models are already able to analyze human behavior to give out the best options possible. But, in 2023, these models will analyze, recommend personalized content, suggest products, and target marketing campaigns even better.

  • Inventory management. To reduce waste, it is possible to use AI in sales trends and inventory analysis. This will also optimize stock levels.

  • Predicting sales. Forecasts made from older samples of sales data might accurately predict future sales. Here, businesses only win as they will make informed production and decide on the actual inventory levels.

Smart Devices

With the help of AI, smart robotic sensors, and IoT the current and the following years might be quite successful in expanding the number of existing smart devices and their capabilities. However, today’s realities have shifted their focus towards energy management, environmental monitoring, and security.

Therefore, there will be a great need in:


  • Smart thermostats that can track energy consumption and regulate temperatures. The aim of these smart devices will be to reduce energy wastage and related costs.

  • Smart sensors that can monitor environmental changes and send alerts to prevent product damage. The aim of such tracking will allow us to reduce unexpected spending in a hazardous situation and provide appropriate product storage conditions.

  • Smart locks/cameras, that will provide the best security for a building, people, or single objects. These secure sensor appliances aim to reduce or prevent criminal activity.

Besides the smart devices mentioned, there also will be a demand for health monitoring appliances. Taking care of your health never gets old. These appliances will always be trendy as many people raise their health status awareness and monitor their health conditions in real-time.


Datafication

Each year humanity produces volumes of data. Statista projects that there will be more than 180 zettabytes of data produced by 2025. Only analytics software can read the data we get from all the possible devices and sources. For example, its competency includes handling a wide range of structured, unstructured, semi-structured, and even multimedia data.


Analytics software has already advanced its capabilities based on user needs and produced real-time insights. However, the scale and complexity of data are always a challenge to deal with. That’s why software development providers have to be open to building newer business intelligence (BI) solutions that can outdo complex analysis tasks at any scale.


Also, organizations are inclined to employ predictive business analytics to deal with obtained data. Being able to process and analyze large scopes of data allows for predicting future trends. These predictions are real-time and form a single source of truth. With the help of analytics, it is possible to figure out your future business potential.


Predictions are also game-changing in the financial services industry, where it is necessary to understand future trends, stock movement, and fraud prevention. Moreover, predictive analytics helps prevent cyber-attacks, schedule preventive maintenance, make logistics optimizations, ship and recommend products, and provide customer lifecycle management and digital marketing campaigns.


Cyber Security

Recently, strengthening business continuity has become a top priority for organizations. To achieve their best in providing uninterrupted process workflows, businesses figure out how to initiate internal digital immune systems. These systems include people, processes, and technologies working side-by-side.


There’s a need for unique security software that will protect organizations against continuous malware threats in real-time better. Its main functionality will allow the identification, analysis, and investigation of vulnerabilities as well as recommendations of further fixes to prevent damage.


Edge Computing

This year, Edge Computing had several trends to observe. Its growing demand is mainly driven by the increasing number of IoT devices, the growth of 5G networks, and the need for real-time data processing. What’s more, the advancements in 5G have triggered the need to deploy edge computing solutions in new applications.

The global edge computing market is expected to grow. ReportLinker forecasts its growth of up to $132 million by 2028. So, what’s going to be the top trend in edge computing?


5G

Many edge computing apps require ultra-low latency, which will be possible with 5G networks. These great improvements in networking speed will allow distant sensors to give instant updates about the connected devices. Also, the increase in real-time processing will require building new equipment to match the enhanced capabilities.

Kubernetes

Containers and Kubernetes are ideal for edge, especially in terms of hyperscaling. Container storage provides core services, persistent storage, high availability, durability, and effortless migration between the cloud and edge. So, if you are apt for scaling, consider turning to containers.

IoT

Also, we should track the rise in IoT devices. Genuinely, these devices will generate massive amounts of data. With the help of edge computing, this data will be processed at the source without being sent to a centralized data center. This will result in a reduction in latency and an increase in the speed of data processing. It will be extremely efficient, with better real-time insights and accurate decision-making.


Our Company and Technology Trends

Sencury is an international software development and business consulting provider. We always monitor new market trends to ensure that our market knowledge meets customer expectations.


Our main services include technology consulting, software development, DevOps, data engineering, project management, L2/L3 support, etc. If you are looking forward to growing your business, automating your corporate processes, securing critical internal software, or in need of a team to carry out your project - contact us! Let’s talk!

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