Unlock AI Potential with Tailored AI Use Cases

Explore AI use cases that provide great value for your business. Get effective AI deployment and implementation with our expert help. Our Use Case Factory helps your business get a high return on investment from AI. We focus on developing a strong Use Case Portfolio and making AI Use Cases a reality.

Anomaly detection first image shutterstock 2072431880
Trusted by
Linde plc logo
Zeiss logo rgb 2023
Download 1
1200px Fresenius Medical Care 20xx logo svg
Key Benefits
  • Enhanced Efficiency: Boost productivity with targeted AI Use Cases through our Use Case Factory.
  • Quick AI ROI: Get fast results by focusing on powerful AI solutions that match your strategic goals.
  • Expert Support: Leverage our deep expertise to ensure successful AI Deployment and AI Use Case Realization.
Applied AI 07 2023 36
AI Deployment: Unlock Transformative Value

Our Use Case Factory helps businesses find and implement AI Use Cases. We use our proven AI Strategy House framework. This helps us take a clear and complete approach to using AI. We can do this at scale and benefit from similar use cases.

An engineer designs variants of a car model
Our Use Case Factory Includes:
  • Use Case Portfolio Development: Collect, evaluate, and rank possible AI Use Cases. Focus on their business value and how they fit with strategic goals.
  • AI Use Case Realization: Turn identified AI opportunities into reality, with our hands-on support ensuring effective AI Implementation.
A man is testing a motor in a lab.
Use Case Portfolio Development

To start your AI journey, we follow a clear process. We create a Use Case Portfolio by gathering and evaluating possible AI Use Cases. This approach focuses on the value chain and core business areas to identify high-impact AI opportunities.

Our goal is to create a clear list of AI projects that aligns with your business needs. We will also provide the plan for successful AI implementation.

Upskilling conference 106
Use Case Realization

After we identify and prioritize the AI Use Cases, we offer expert support. This helps make the AI Use Case Realization process smooth and effective. We use our technical expertise to make sure each use case fits your specific needs. This helps deliver clear business results.

This end-to-end approach to AI deployment ensures that you implement AI projects effectively. This creates real and sustainable value for your business.

Upskilling conference 110
Our key areas of expertise include:
  • Anomaly Detection: Identify anomalies in data early to proactively address issues.
  • Reinforcement Learning: Develop adaptive algorithms for enhanced decision-making in changing environments.
  • Large Language Models: Utilize natural language processing for improved communication and insights.
  • Computer Vision: Implement AI solutions for advanced quality control and safety through visual data analyzing.
AI training expert giving a talk
AI Maturity Assessment

We start by evaluating your current AI capabilities to identify opportunities that match your level of AI maturity. This enables us to prioritize high-impact AI solutions that deliver substantial value and rapid AI ROI.

Find out more about our focus fields

UTUM Colab2021 664web

Reinforcement Learning (RL)

Using RL, we create adaptive systems for dynamic decision-making. Our Reinforcement Control division optimizes efficiency and cuts costs autonomously.

UTUM Colab2021 626web

Large Language Models (LLMs)

Our LLM expertise enables us to use advanced natural language processing for extracting insights, automating tasks, and improving communication through language-based applications.

UTUM Colab2021 727web

Computer Vision

With a strong foundation in computer vision, we enable machines to interpret and understand visual information, offering solutions that range from image recognition to video analysis, revolutionizing how businesses process and utilize visual data.

The director of AI strategy gives a speech at the Handelsblatt AI summit
AI use cases: Make-or-Buy-Decisions

Selecting the right approach for AI implementation depends on your specific needs:

  • Internal Development: Provides full control and integration, best suited for organizations that wish to develop AI capabilities in-house.
  • External Development helps teams deploy faster by offering specialized expertise. This is especially useful when internal resources or skills are limited.
  • Academic Collaboration: For cutting-edge innovation on a limited budget, offering a research-driven approach.
Three men are discussing AI at a conference
Buy Options
  • Cloud Providers: Provide advanced capabilities, though they come with integration and data sovereignty challenges.

  • Product Start-ups: Innovative solutions with potential scalability and IP considerations.
  • Solution Providers: Quick customization and deployment for immediate results, with a focus on managing data sovereignty and risk-sharing.

Do you want to learn more about our services? Contact us now

Unfortunately, we cannot display the form without your consent. We use Hubspot forms that set functional cookies. Please accept functional cookies in the settings to be able to use the contact form. Or write us an email: info@appliedai.de.