Successfully integrating AI in industry

Increased efficiency and process optimisation - the use of artificial intelligence (AI) is revolutionising industry. Companies are increasingly discovering that AI applications not only simplify work processes, but can also contribute to more sustainable business management. In this guide, we shed light on how artificial intelligence can be used in industry, the benefits it offers and how companies can use the technology sensibly and overcome the associated challenges.

Artificial intelligence (AI) is the development of computer technologies that can simulate human-like thought and decision-making processes. It is therefore much more than mere software programmed for predictable, automated use cases. It is a bridge between human thinking and the performance of machines.

In practice, this means that AI is not simply a programme that acts according to a fixed plan and pre-programmed processes. Instead, they are systems that can adapt to new information and situations. They can learn from data, make decisions and even master complex challenges and tasks.

The possibilities that artificial intelligence offers industry are diverse, far-reaching and represent a key factor in the ongoing competitiveness of the German economy.

The use of AI in industry gives companies the opportunity to develop innovative products and services and optimise existing processes. Artificial intelligence in industry can already make a decisive contribution to preventing downtime and supporting quality assurance in manufacturing by analysing extensive data and identifying correlations.

In addition, artificial intelligence automates repetitive tasks that were previously not cost-effective due to the high amount of time required for human labour, thus making them more cost-efficient. Thanks to the use of AI, companies can therefore not only conserve human resources, but also financial resources. In addition, artificial intelligence can play a decisive role in detecting anomalies or patterns in data.

This descriptive analysis of the data makes it possible to predict future states or events with a certain degree of accuracy. Based on these predictions, AI can make proactive decisions, such as ordering spare parts or consumables. This prescriptive analysis ensures smooth operations and thus increases efficiency and productivity in industry.

Although some of these technologies are already being used in companies, this is usually only on a limited scale and without the possibility of scaling up. However, the full potential can only be realised through systematic implementation using precise machine learning operations and the application of AI platforms.

That is why this is our core business. We not only support you in setting up the necessary systems, but also in imparting the necessary expertise to benefit from AI in the long term.

Artificial intelligence works through a process known in the technology world as machine learning.

It is therefore clear that AI is undoubtedly one of the most promising technologies of our time. But beware: not everything labelled AI actually contains AI.

This is because the distinction between ‘independent learning’ and lightning-fast data processing according to predefined patterns, also known as ADM, is often not so clear-cut. And this brings us to the next big question:

The use of artificial intelligence can therefore become an extraordinary asset for companies in the industrial sector. It can lead to noticeable efficiency gains in the following areas of application for AI and work processes:

Comprehensive AI consulting plays a crucial role in the successful implementation of artificial intelligence in your company. It is extremely important that this consulting accompanies you throughout the entire process – from the initial idea to the design and full operation of the solution. It is not just a matter of implementing a technology, but rather of transferring knowledge and skills that enable your company to work independently and successfully with the AI solution once the consulting has been completed.

At MaibornWolff, this is exactly what we mean by effective AI consulting: comprehensive support that begins with a careful analysis of your specific needs and guides you through every phase of the project. And this is how we do it:

When introducing artificial intelligence into businesses, various challenges arise that must be overcome in order to realise the full benefits of this technology. Here we provide a brief overview of potential problems you may encounter when introducing AI into your business:

One of the biggest challenges in using AI is ensuring a sufficient amount of high-quality data. AI systems need this to work efficiently. Companies often face the difficulty of collecting enough relevant data or processing it appropriately, especially for specific use cases.

The specific requirements and processes of each company require a tailored implementation of AI solutions. This includes technical adjustments and careful integration into existing system landscapes in order to achieve real efficiency and benefits.

The introduction of AI often involves high initial investment. Companies must invest not only in the technology itself, but also in the necessary infrastructure and qualified personnel. A careful cost-benefit analysis is crucial to ensure that the company has the necessary resources to successfully implement AI.

However, the early decision to invest in artificial intelligence will inevitably pay off for your company. It is advisable to start now rather than considering the introduction of AI later under time pressure, so as not to lose touch.

Many industrial companies are entering uncharted territory with AI. They must learn to view AI systems not as ordinary components, but as complex systems that require specialised knowledge and new approaches.

The introduction of AI can cause uncertainty and resistance among employees. It is therefore important to involve them in the process at an early stage, take their concerns seriously and ensure a smooth transition to the new technologies.

When using AI, companies must ensure that they comply with data protection regulations and observe ethical principles. This responsible use of AI is crucial for promoting trust and acceptance. However, given the complexity and multifaceted nature of the ethical issues in this area, it is important to carefully consider numerous dimensions.

We can therefore only provide an overview of the fundamental ethical principles below:

There is no simple answer to this question. However, one thing is clear: AI is here to stay! According to a survey by Statista from 2022, 54% of companies already use AI in production. In other areas, such as marketing, the figure is as high as 81%. It is therefore advisable to start looking into the potential applications of AI in industry, and in your specific business context, in order to maintain long-term competitiveness.

Whether an early start in AI integration is ultimately beneficial for your company depends, among other things, on the following aspects:

Companies are increasingly using artificial intelligence to optimise processes and increase overall efficiency. Here we present examples of successful AI applications in various areas of business:

An industrial customer wanted to optimise its internal search processes, as employees were spending a lot of time searching for documents, data and tools. The goal was to find a more efficient, faster and user-friendly solution. In a four-week proof of concept, we used Azure Cognitive Search and GPT to develop a solution that significantly speeds up internal searches.

The introduction of a user-centric, voice-controlled search enabled employees to make requests verbally and obtain the information they needed quickly and efficiently. The vision for the future is that employees will only need a headset to communicate with the machines on the production line, further simplifying the work process. The prompt, i.e. the command used to control an AI, should be given verbally.

To better understand this future scenario, imagine a production employee who is looking for a very specific component. In future, they will be able to simply voice this request through their headset. They will then immediately receive precise feedback, such as: ‘The component you are looking for is currently in machine room B and will be ready for collection in 9 minutes.’ This allows the employee to continue their work seamlessly and then collect the required component quickly and efficiently.

Bayernwerk Netz GmbH faced the challenge of preserving and making accessible the implicit knowledge and experience of long-standing employees. The risk was losing valuable expertise when these employees retired.

To solve this problem, we developed an MS Teams app that was integrated into the Bayernwerk environment. This application serves as a platform for knowledge exchange and is designed to improve workflows without placing an additional burden on everyday work.

The close collaboration between the Bayernwerk and MaibornWolff teams fostered the development of a system that not only makes implicit knowledge visible, but also lays the foundation for continuous knowledge exchange and improved collaboration within the company.

Anyone considering using artificial intelligence in their own company should not hesitate to test it. The implementation of AI technologies can significantly increase efficiency within the company and improve processes in the long term. It is important to define clear goals and areas of application and to ensure the quality of the data used. Data protection and ethical aspects must also be taken into account. Whether artificial intelligence ultimately offers added value for your company depends on your specific needs and circumstances.