Technology Trends 2025: the future of business with innovation
Technology is constantly changing the business world and its impact will be even more pronounced in 2025. Artificial intelligence, cloud computing, digitalisation and other innovations will drive transformation across sectors. This article will show you how these trends will impact the manufacturing, telecoms, banking and public sectors, and offer guidance on how to implement them in your business.
16 January 2025 ┃12 minutes reading
Agent AI: Artificial Intelligence that works for you
Agent or agent artificial intelligence (in English agentic AI) It is an advanced type of artificial intelligence based on so-called agents, i.e. autonomous software entities capable of interacting with the environment and making autonomous decisions. Agent-based AI combines new forms of artificial intelligence, such as large language models (LLMs), with traditional technologies such as machine learning and enterprise automation. The result is autonomous agents capable of analyzing data, setting goals, and executing actions with minimal human oversight.
Unlike deterministic systems such as Robotic Process Automation (RPA)governed by fixed rules, agent-based AI uses probabilistic models to make dynamic decisions in changing environments. This technology enables machines to act independently in unstructured environments, transforming the scale and efficiency of automation.
The benefits of agent AI and its potential
Process automation: Agent AI can automate routine tasks such as order processing, customer communication or delivery scheduling.
Optimizing decision making: With the ability to analyze large amounts of data in real time, it helps managers make more accurate decisions.
Intelligent planning: Artificial intelligence can identify patterns and trends, allowing companies to anticipate market needs and plan their activities more effectively.
How to use it in practice
In practice, agent-based AI is used to optimize processes and increase efficiency. For example, in the service sector, AI can drive customer service through chatbots that are available 24/7. In production, it enables predictive maintenance to help prevent machine breakdowns, saving time and money.
Production
Predictive maintenance machines, reduce production downtime and optimize the supply chain with real-time AI data analytics. For example, Tesla is using AI to optimize manufacturing processes and improve the efficiency of robotic lines.
Telecommunications
Optimising networks based on real-time data analysis, predicting failures and improving customer experience through smart chatbots. For example, Orange uses AI for dynamic infrastructure management and customer support.
Banking
Detection of fraudulent transactions in real time, personalised offers for clients based on behavioural analysis and optimisation of internal processes such as credit approval. Bank of America uses its AI assistant Eric to improve customer service.
HR
Automation recruitment processes including sorting CVs, scheduling interviews and assessing candidates using machine learning algorithms. AI can identify the most suitable candidates based on an accurate analysis of qualifications.
An example of an agent AI implementation:
Camping World, a major player in the caravan sales and rental industry, has implemented IBM watsonx Assistant to create an AI virtual assistant. This system ensured consistent and quick responses to customer queries. The results were impressive: customer engagement increased by 40 % and live agent productivity increased by 33 %. This case shows how agent AI can transform the customer experience and increase process efficiency.
Hybrid computing: performance at a new level
Hybrid computing combine various computing technologies such as cloud computing, edge computing and advanced data centres. This innovative approach enables organisations to process huge volumes of data efficiently, flexibly and with maximum performance. Hybrid solutions are now an integral part of digital transformation as they offer superior performance at lower costs.
The benefits of hybrid computing and its potential
Faster decision making: Ability to process data in real time and react immediately to changes.
Flexibility: Hybrid systems allow you to dynamically adapt computing capacity to the current needs of the organization.
Cost-effectiveness: Using the cloud for routine tasks and edge computing for mission-critical applications reduces overall spend.
Scalability: Easily expand computing capacity as data requirements increase.
How to use hybrid computing in practice:
Production
Automotive companies use hybrid computing for aerodynamic simulations and optimization of vehicle designs. This includes cloud computing for massive simulations and edge computing for instantaneous data processing.
Healthcare
Healthcare facilities are using hybrid solutions to analyze data from health records, enabling more accurate diagnosis and personalized treatment plans.
Retail
Companies are integrating hybrid computing to analyze customer behavior, optimizing inventory and improving the customer experience in real time.
Financial sector
Hybrid systems provide financial organisations with the ability to process complex risk analyses and optimise investment strategies through a combination of on-premises and cloud computing.
Example of hybrid computing implementation:
Audi has deployed hybrid computing to improve its online car configurator. The integration of cloud and edge technologies via Amazon Web Services (AWS) has 63 % reduction in compute capacity costs, up to 20 % faster application execution and improved scalability and availability of services.
Audi implemented Kubernetes and Karpenter for container management and dynamic scalability, enabling it to handle peak workloads and increase customer satisfaction.
Do you want to innovate your business?
Schedule a free consultation with us today and find out how new technologies in AI, cloud and digital can improve your business.
Free consultation Energy-Efficient Computing: sustainability in the computing world
With the growing demand for computing capacity and data services, an emphasis on sustainability has become a necessity. Energy-efficient computing, or energy-efficient computing, represent an approach that reduces the energy intensity of IT infrastructure and supports the transition to renewable energy sources.
Benefits of energy-efficient calculations:
Reduction of energy consumption: Using modern servers with lower power consumption can significantly reduce operating costs.
Transition to renewables: Integrating solar, wind or other renewable sources into data centres promotes sustainable development.
Process optimization: Energy-efficient solutions like cloud computing help businesses reduce their carbon footprint without compromising performance.
How to use in practice:
Businesses can optimise their processes and infrastructure by switching to energy-efficient servers and green data centres. Such solutions reduce costs and strengthen the company's reputation as a green leader.
Production
Manufacturing companies can use green data centres to process the large volumes of data needed for autonomous vehicle development, simulation and production optimisation. Reducing energy intensity in factories contributes to sustainable production.
Public sector
Public administrations can use energy-efficient cloud platforms to digitise services for citizens. By switching to greener IT solutions, they can minimise their carbon footprint and increase the transparency of their processes.
Telecommunications
Operators can make their networks more efficient through edge computing, which reduces the need to transfer data over long distances, while minimising the energy consumption of 5G infrastructure.
Banks
Banks can reduce the energy intensity of their data centres that support risk analysis, transaction processing and data protection. In addition, energy-efficient solutions help banks meet increasing regulatory requirements for sustainability.
Example of implementation of energy efficient calculations:
Google has invested in green data centers that use 100 % of renewable energy. Thanks to advanced cooling technologies and artificial intelligence to optimize power consumption, they were able to achieve 30 % higher Power Usage Effectiveness (PUE) compared to the industry average.
Disinformation security: protecting trust and reputation
In the digital world, the spread of misinformation is one of the biggest challenges for businesses. False information can damage a company's reputation, affect customer trust and even cause financial losses. Therefore, disinformation security is one of the key areas of technological development to protect organisations from the negative effects of fake news and cyber-attacks.
Why is protection from misinformation necessary?
Reputation protection: Companies face the risk of damage to their reputation as a result of the spread of false information about their products, services or policies.
Ensuring customer trust: High brand credibility is essential to maintain customer and partner loyalty.
Prevention of financial losses: Misinformation can affect share prices, product sales or investor confidence.
Examples of the use of disinformation security:
Disinformation security has specific applications in key sectors where it directly affects the business environment.
Banks
Phishing emails and fake news about banking products can affect customer confidence. Security solutions analyse suspicious content, block fraudulent messages and help banks prevent financial losses and protect customer data.
Telecommunications
False information, such as conspiracies about 5G, can reduce interest in new technologies. Monitoring systems can detect the spread of misinformation, allowing companies to respond effectively and maintain customer trust.
Production
False reports about product quality can negatively affect sales. Disinformation systems allow manufacturers to quickly identify and respond to malicious campaigns, protecting their reputation and maintaining client trust.
Public sector
Spreading misinformation about elections or health programmes can undermine citizens' trust. Fake content detection solutions help government organizations ensure transparency and strengthen public trust.
Example of a disinformation security system implementation:
Microsoft has developed a tool NewsGuardwhich identifies the trustworthiness of news and websites. This tool was also used to improve the security of their AI tool 'Microsoft Designer'. Thanks to this collaboration production of problematic images reduced by 70 %, thereby promoting the integrity of the information.
Gartner forecasts that by 2028 More than 50 % enterprises will deploy solutions to combat misinformationwhich underlines the importance of this area.
Post-quantum Cryptography: next-generation security
The advent of quantum computing represents a breakthrough in computing, but it also brings significant security challenges. Quantum computers can break current encryption algorithms that protect sensitive data and communications. Therefore, the introduction of post-quantum cryptography (PQC) is a necessity for the future of digital security.
Why is post-quantum cryptography important?
Protection against cyber threats: Quantum computers can effectively solve the mathematical problems underlying today's encryption standards, such as RSA or ECC, which would compromise the security of most digital systems.
Confidentiality: Companies and institutions must protect sensitive information such as financial data, medical records or secret documents from potential attacks.
Long-term durability: The implementation of PQC will ensure that future systems will also be protected from the risks associated with quantum technologies.
Examples of the use of post-quantum cryptography
Banks
Banks are deploying post-quantum cryptography (PQC) to protect sensitive data such as financial transactions and online banking operations. PQC provides encryption of customer data, preventing its misuse even in the era of quantum computing.
Telecommunications
Telecommunications service providers implement PQC to encrypt data transmitted over their networks, thereby protecting voice and data communications. This step is key to ensuring resilience against potential quantum attacks in the future.
Healthcare
Healthcare facilities are implementing PQC to protect patient health records and securely transfer sensitive data between clinics and hospitals. This approach minimizes the risk of data leakage and ensures data integrity.
Public sector
Governments use PQC to encrypt classified documents and secure communication channels between different government institutions. This solution prevents security breaches and protects national interests.
Example of PQC implementation:
IBM is developing post-quantum cryptography algorithms as part of its IBM Quantum Safe. These algorithms are being implemented to protect data from future quantum attacks and are already being tested with banks and government institutions.
Assessment of technological trends for individual sectors
Identifying relevant technology trends is key to strategic decision-making in manufacturing, telecommunications, banking and the public sector.
Which trends have the biggest benefits?
Manufacturing companies: Predictive maintenance through AI, automation of production lines and edge computing for instant analysis of production data.
Telecommunications: Optimising networks with AI, deploying 5G technologies and analysing data to predict consumer behaviour.
Banking: Real-time fraud detection, personalization of services through AI, and deployment of post-quantum cryptography to protect sensitive data.
Public sector: Digitisation of processes, AI to analyse big data and cloud computing to improve citizens' access to services.
How can technology change business models and operations?
Process efficiency: Automation reduces costs and speeds up operations.
New opportunities: Introducing new products and services that were not possible before.
Better decision making: Real-time data analysis enables faster and more accurate decisions.
CONCLUSION
Technology trends such as artificial intelligence (AI), cloud computing and digitalisation are the pillars of a revolution that is transforming business across all sectors. For large manufacturing companies, telecoms companies, banks and the public sector, these innovations are a pathway to increase efficiency, improve customer experience and enhance security.
AI: The intelligence that powers the future
Artificial intelligence enables businesses to automate routine tasks, optimise decision-making and create new business models. Manufacturing companies can take advantage of predictive maintenance and optimization of production lines, while banks will use AI to detect fraud and personalize customer service. The public sector can implement AI to improve service delivery to citizens and increase transparency.
Cloud: flexibility and scalability
Cloud computing is the foundation of modern digital infrastructure. Telecom companies can use the cloud to optimise their networks and provide faster services to customers. The public sector gains the flexibility to manage huge volumes of data and scale IT systems as needed. For manufacturing companies and banks, the cloud offers efficient data management, rapid implementation of new applications and cost reduction.
Digitalisation: the bridge to transformation
Digitalization is the cornerstone of a successful transformation. In manufacturing companies, it enables process automation and improved traceability of production steps. Telecommunications companies can digitise customer services and create more efficient processes. In banking, digitisation supports innovative financial products and faster customer service. The public sector can provide citizens with easier access to services and streamline administration through digitisation.
Step forward: the right decisions and partners
When implementing innovation, the key is:
- Choose the technologies that are most relevant to your industry and business goals.
- Collaborate with trusted partners who have experience in implementing AI, cloud and digitalization in large organisations.
- Start with pilot projects on a smaller scale, minimise risks and gradually scale up solutions.
Prepare for transformation
The technologies that are shaping business today will continue to play a vital role in building a successful future. Companies that embrace these trends and start using them today will be one step ahead of the competition.
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