Artificial IntelligenceAdvance your business with AI

Customized AI solutions and continuous innovation

New technologies are transforming our world, especially Artificial Intelligence (AI). AI is already applied across various industries and business areas — from dynamically generated customer service suggestions and AI diagnostics in healthcare to enhancing conversion rates with AI-driven personalized marketing content. To keep pace with this dynamic evolution, it's essential to continuously learn and to stay updated on the latest developments.

Our holistic approach explores different facets of AI and integrates them seamlessly into your workflows. Instead of standard 70% solutions, we develop products with real value. Position yourself as a leader in AI with our services and actively shape the future. Make your business resilient and future-proof.

Your success is our motivation.

Register now for the free webinar "Digital Transformation through Artificial Intelligence"

November 28, 2024, from 3 to 4 p.m.

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Sophia Antonin

Technology Manager AI & Data Science

Webinar "Digital Transformation through Artificial Intelligence"

Human-centered focus

Technological progress should support humans. That’s why we use technologies like AI to optimize User Experience (UX) and Customer Experience (CX), creating products with real value for everyone. Through our human-centered and collaborative approach, you’ll explore innovative AI solutions with our experts. We support you in integrating AI into your existing workflows and developing new products and services.

Ergosign Mitarbeiterin bei Usability Testing.

Transform your business with our AI expertise

Custom-tailored AI solutions

With precise data analysis and years of experience, we ensure your AI solution is perfectly tailored to your business and customers. This not only meets your requirements optimally, but also creates real value for your users.

Technology expertise

Our AI expertise allows us to develop solutions tailored to your infrastructure and seamlessly integrate them into your existing IT landscape. We are well-versed in popular technologies and machine learning tools such as TensorFlow, PyTorch, and Scikit-Learn.

Continuous innovation

In our fast-paced digital world, staying current is crucial. We are committed to pushing boundaries and exploring new possibilities. We help you integrate the latest technological advancements, ensuring your business stays at the forefront.

Discover Your AI PotentialAI Ideation Workshop

Our AI Ideation Workshop is designed to identify the potential of Artificial Intelligence in your company and align your team with a shared knowledge base. During the workshop, you’ll analyze your business processes with our AI experts, who will highlight where AI can create the most value. You’ll receive a summary of the results and an initial feasibility assessment, enabling you to select the most promising ideas and plan the next steps.

In a nutshell:

Workshop with our AI experts and your team
AI Potential Report (PDF) with detailed AI Scorecards addressing specific business issues or improvement opportunities
AI Scorecards with feasibility and risk assessments for each idea

Scope: 1-day workshop and AI Potential Report creation, including preparation and follow-up

Book your workshop now

Practical Evaluation of your AI PotentialAI Exploration Sprint

The AI Exploration Sprint is your next step toward implementing AI solutions. Building on the prioritized ideas from the AI Ideation Workshop or your own concepts, we develop Proof-of-Concepts (PoCs) to test the feasibility and value of the selected AI applications.

Establish the foundation for future decisions and maximize the benefits of AI for your business.

In a nutshell:

Proof-of-Concepts: Practical evaluation of AI potential using your data
Idea Validation: Assessment of general feasibility of AI applications as basis for realistic evaluation
Informed Assessment: Multidimensional evaluation of AI ideas (effort, expected quality, etc.) for decision-making on further development

Scope: 1-3 weeks, depending on individual requirements

Book your AI Exploration Sprint now

Our process for value-driven AI

Identify potential

In close collaboration, we identify AI potentials within your company. We analyze your business processes and demonstrate where AI can deliver the most value.

Define applications

Next, we define specific application areas that are particularly beneficial for your company. We prioritize them based on their value and feasibility.

Proof-of-Concepts

We develop prototypes to test the feasibility of selected AI solutions. We demonstrate the performance and benefits of the AI applications, providing a foundation for realistic evaluation.

Validate solutions

Finally, we evaluate the results to confirm the success and effectiveness of the implemented AI solutions. We collect feedback, analyze the results, and prepare for the rollout of successful applications.

Potential AI applications

By strategically applying AI technologies, companies can work more efficiently, gain deeper insights, and make strategically valuable decisions. Below, we showcase some of the most exciting application areas.

AI-powered support

With the help of AI, we create innovative digital experiences and enhance your customer service. Our AI-driven chatbots and assistants provide high-quality support around the clock and continuously learn and improve. This helps you keep your products innovative, human-centered, and future-proof.

AI-driven benchmarking

In a dynamic market environment, it’s essential to understand your position and make data-driven strategic decisions. We analyze your market position, identify opportunities, and develop strategies together to enhance your competitiveness on the market.

AI-enhanced User Research

AI-enhanced user research revolutionizes how companies gain insights into user behavior and needs. By leveraging advanced algorithms, we efficiently analyze large volumes of data to identify patterns and trends. This allows us to tailor the User Experience (UX) specifically to individual users.

Long-standing expertise with AI

Working with artificial intelligence is anything but new to Ergosign — back in 2004, we supported the project team led by Microsoft founder Paul Allen in the evaluation of “Project Halo”. The focus was on the development of a system that could answer complex questions from the natural sciences, as a “digital Aristotle”.

Over the past two decades, we have worked with various consortium partners on pioneering AI research projects funded by federal ministries. For example in the field of autonomous driving, in projects such as APEROL and STADT:up, our AI expertise contributes to shaping the future.

In addition, artificial intelligence plays a crucial role in our projects within the healthcare sector:
While we focused on explaining AI-generated medical diagnoses in the research project IMEDALytics, the research project SiBed centered on predicting user actions through automated AI models.

As part of the DiCo research project, Ergosign has been involved in the development of a digital assistance system to guide care facilities through the digital transformation process in a systematic and needs-oriented manner.
In the AVASAG project, our aim is to contribute to inclusion by researching AI-supported avatars in sign language.

Artificial Intelligence – A vast field

AI has evolved continuously over decades, with research constantly uncovering new directions and increasingly specific application areas. The following subfields particularly demonstrate the diversity and power of modern AI applications.

Classical
Machine Learning (ML)

Machine Learning involves developing systems that learn from data and recognize patterns. Classical machine learning techniques include linear regression, decision trees, and support vector machines. These methods allow computers to make predictions and perform classifications based on existing data. Using ML helps companies optimize processes, create more accurate analyses, and make informed, data-driven decisions.

Text generation with
Large Language Models (LLMs)

Text generation with LLMs like GPT-4 revolutionizes how texts are created and processed. These models are trained to analyze and understand vast amounts of text data, generating human-like text. They can be used for various applications, including content creation, translations, chatbots, and personalized communication. LLMs enable companies to work more efficiently, support creative processes, and enhance customer interactions.

Image generation with
Stable Diffusion

AI opens up new possibilities in digital image creation by generating highly realistic images in a short time. The Stable Diffusion algorithm uses a neural network to progressively remove noise from images, producing visually appealing and detailed results. This technology is applied in design, art, marketing, and visual effects. By leveraging Stable Diffusion, companies can quickly and efficiently produce unique visual content.

MLOps — The Key to Sustainable AI Implementation

Integrating machine learning (ML) into business processes is a complex and ongoing task. To ensure ML models operate efficiently and reliably, a structured and systematic approach is required — this is where MLOps comes in. MLOps (Machine Learning Operations) combines best practices from DevOps and data engineering to manage and optimize the entire lifecycle of ML models.

Learn more in a personal consultation!

Schedule your consultation now

Limits of AI — Challenges and opportunities

Artificial Intelligence is a remarkable technological achievement, but it has its limits. AI systems are only as good as the data they are trained on, which can often be biased or flawed. It’s essential to be aware of these limitations. Additionally, AI lacks genuine human intuition and creativity, which means it often struggles in complex, unpredictable situations.

While AI can identify patterns and learn from data, it cannot surpass the constraints set by its human developers. Ethical and privacy concerns also pose significant challenges that need careful consideration. Developing and implementing AI requires substantial resources and expertise, but it can be a valuable tool for enhancing efficiency and solving complex problems.