AI applications within the company

The AI application areas

The use of AI can be divided into 7 different application areas. However, in view of the continuous development of AI technologies, this is only a snapshot of the current situation.

The areas of application for artificial intelligence (AI) are diverse and range from image generation and coding to language processing and 3D modelling.

In the field of image generation, AI enables the automated creation of images, including for commercial purposes, which saves time and money and supports the creative process.

In coding, AI models are used to generate code, which speeds up software development and increases developer productivity.

Text generation is another area of application where AI models can create text based on specific inputs, which can be used for content creation, translation and other applications.

In the video sector, AI enables the creation, editing and optimization of videos. This in turn simplifies the production of content.

In speech processing, AI models can convert text to speech, analyze and synthesize speech, which is used for voice assistants, subtitling and more.

AI also has applications in 3D modelling and research and development, where it can simulate, analyze and optimize complex models to gain valuable insights and drive innovation. Artificial intelligence in research, for example, accelerates knowledge gain through data analysis, predictive modelling, optimization of experiments, laboratory automation and the discovery of new drugs and treatments.

The selection of AI tools is differentiated depending on the area and use case, whereby the use of AI tools from a single category or from several categories may be required. The market for AI tools requires continuous monitoring and analysis.

Future-proof: How to implement AI in your company

In the fast-paced world of technology, it’s essential that organizations equip themselves for future-facing technologies such as Artificial Intelligence (AI). Integrating AI can not only increase efficiency, but also open up new opportunities for innovation and growth. But how can you ensure that your company is optimally prepared for these changes?

In his presentation on “AI – opportunities and risks of artificial intelligence”, held on 19 April 2024 as part of an information event initiated by Dr Natalie Pfau-Weller, member of the state parliament for the Kirchheim/Teck constituency, Dr Michael Müller makes the following recommendations:

• Discover new business models
• Win against the market and competition
• Develop innovative products and services
• Strengthen your corporate structure
• Optimize your value chain

A comprehensive strategy

A crucial step is to develop a comprehensive strategy that is tailored to the specific needs and goals of your organization. Here are some key points to consider when developing your AI strategy:

Analyze the existing business model

Before you start integrating AI, it is important to thoroughly analyze your current business model. Identify potential AI application areas to optimize processes or open up new business opportunities.

Competitor analysis

Analyze how your competitors are already using AI and what benefits they are deriving from it. Also take a close look at what mistakes your competitors are making or have made in this regard. This can help you understand how AI is being used in your industry and what opportunities and risks are associated with it. Gain a competitive advantage over the competition.

Develop innovative products

Develop innovative products and services: Use Artificial Intelligence to develop innovative products and services that fulfill your customers’ needs and differentiate your company from the competition. Make data-driven decisions and implement more efficient processes.

Review your organization’s capabilities and structures

Ensure that your organization has the necessary skills and structures in place to successfully implement and use AI. This can include training employees, introducing new workflows and adapting the organizational structure. For new hires, make sure you hire professionals with AI skills and foster a culture of innovation to support the successful use of AI.

Identify innovative business ideas

You should also identify innovative business ideas for your company that could be realized through the use of AI. Evaluating the financial feasibility and precise implementation strategies of these ideas is essential to prepare your company for the challenges and opportunities of the future. By acting early and developing a sound AI strategy, you can ensure that your company remains successful in an increasingly digital world.

Optimizing the value chain

Check where in your company you can use AI to improve efficiency in production, logistics, sales or customer service.

Example of using artificial intelligence in your company – process mining

After you have already implemented robotic process automation (RPA), enterprise service management (ESM) and ERP automation, increase your use of process mining to automate business processes. Process mining analyses existing processes and identifies potential problems before they occur. It supports process optimization by correlating data flows. Tools such as

• Celonis Execution Management System,
• Kofax Insight,
• IBM Process Mining,
• Signavio Process Intelligence
• UiPath Process Mining

provide a solid basis for these tasks. We will soon be publishing a separate blog article about process mining on our website.

XaiTeck Solution

At XaiTeck GmbH, we have developed a holistic pyramidal approach to improve the effectiveness and efficiency of a company through artificial intelligence.

Level 1- Monitoring of legal requirements & trends and macroeconomic factors

• AI-supported text analysis: Automatic extraction and analysis of relevant information from text sources such as news articles, legal texts and economic reports.
• Sentiment analysis: identification and evaluation of sentiment in texts to recognize potential risks and opportunities at an early stage
• Predictive analytics: Forecasting future developments based on historical data and current trends in order to make informed decisions.

Level 2 – Monitoring & optimization of business models

• Process mining: Analyzing business processes using event logs to uncover inefficiencies and potential for improvement.
• Simulations: Modelling business models and simulating different scenarios to assess the impact of changes.
• Machine learning: Automatic identification of patterns and correlations in company data to find optimization opportunities.

Level 3 – Consolidation and optimization of supplier networks

• Clustering algorithms: Grouping of suppliers according to similar characteristics to optimize the supply chain.
• Network optimization: Automatic identification of the most efficient supply paths and routes.
• Negotiation support: AI-based tools for analyzing negotiation data and developing optimal negotiation strategies.

Level 4 – Management and refinement of specific assets, services and products

• Predictive maintenance: Forecasting maintenance requirements and optimizing maintenance intervals to reduce downtime.
• Recommendation systems: Personalized product recommendations for customers to increase customer satisfaction
• Chatbots: AI-supported customer support tools for answering customer questions and solving problems.

Level 5 – Monitoring and refinement of organizational processes

• Workflow automation: Automation of repetitive tasks to increase efficiency and reduce errors.
• Robotic Process Automation (RPA): Use of software robots to automate processes that were previously carried out by humans.
• AI-supported decision-making: Supporting managers in decision-making by providing relevant information and analyses.

Level 6 – Monitoring and optimization of specific process steps

• Anomaly detection: Identification of deviations from the norm in process data to recognise potential problems at an early stage.
• Root cause analysis: Automatic identification of the main causes of process errors.
• Optimization of processing times: Reduction of the time required to complete processes.

XaiTeck Solution’s approach shows how a holistic pyramid approach can improve the effectiveness and efficiency of an organization. From monitoring and analyzing legal requirements to optimizing supplier networks and refining organizational processes, this system offers a comprehensive range of AI-powered solutions. Automated text analyses, predictive analytics, machine learning and robotic process automation are used not only to optimize current processes, but also to predict future developments and initiate appropriate measures. This holistic approach paves the way for the transformative further development of companies in an increasingly digitalized world.

The market volume for AI will grow rapidly in the coming years

The increasing use of artificial intelligence (AI) in companies promises a wide range of benefits and opportunities for the future. From the optimization of processes to the creation of personalized customer experiences, new opportunities for growth and innovation are opening up. The market volume for AI is expected to grow rapidly in the coming years.

However, this development is also associated with risks and regulatory challenges that need to be overcome. There are also ethical concerns. In the next article, we will take a closer look at these aspects and examine how companies can seize these opportunities while minimizing the risks and meeting ethical requirements in order to make the most of AI’s potential. Feel free to contact us right here if we can support you with the implementation of AI solutions or if you have any further questions.