Artificial Intelligence / Machine Learning

We use artificial intelligence (AI) and machine learning (ML) to optimize digital experiences

By AI we mean the ability of machines and systems to imitate intelligent human behavior. A distinction must be made here between general AI, i.e. completely machine-supported business models, and functional AI, i.e. individual decision-making branches in which artificial intelligence is involved in some areas. Here, AI systems almost always make use of large databases and complex data analyzes.

In practice, different variants of machine learning (ML) systems are used. These systems should enable the AI to later independently recognize patterns and regularities in large amounts of data after training and to be able to make autonomous decisions: For example, when it comes to user behavior, possible market developments, likely customer churn, product recommendations or product use goes.

What do successful AI / ML projects look like?

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What possibilities do artificial intelligence / machine learning offer you?

Thanks to artificial intelligence, image recognition systems in cars can already identify street signs or sort holiday photos on our smartphones according to certain motifs. Voice assistants understand our spoken questions and make it easier to find information.

AI algorithms understand which music we like to listen to and suggest suitable songs to us – and they help, when installed in medical devices, to recognize symptoms of illness and to determine the right treatment methods.

Examples of Artificial Intelligence

Thanks to artificial intelligence, image recognition systems in the car can already identify street signs or sort holiday photos on our smartphones according to certain motifs. Voice assistants understand our spoken questions and make it easier to find information. AI algorithms understand which music we like to listen to and suggest suitable songs to us – and they help, when installed in medical devices, to recognize symptoms of illness and to determine the right treatment methods.

Where can your projects benefit from artificial intelligence and machine learning?

This is where your projects can benefit from AI and machine learning: Customer Insight, Feedback Analysis, Churn Analysis, Product Innovation, Personalization, Product Recommendation, Promotion Optimization

This is where your projects can benefit from AI and machine learning: Customer acquisition, cross / upselling, lead generation, call center optimization, logistic automation, optimal price analytics

This is where your projects can benefit from AI and machine learning: Predictive maintenance, predictive alarming, root cause analysis

This is where your projects can benefit from AI and machine learning: Financial analytics, financial forecasting, fraud prevention, risk management

This is where your projects can benefit from AI and machine learning: Demand Forecasting, Inventory Optimization, IT Operations Insight, Operational Efficiency, Procurement Insight, Supplier Insight

This is where your projects can benefit from AI and machine learning: Employee Insight, HR Insight, Service Analysis, Contact Center Analysis


Where can your projects benefit from machine learning and artificial intelligence?

Many companies are already unconsciously using AI in existing software products, for example when foils are automatically pimped up, routes planned, speech recognition carried out or data intelligently evaluated.

Modern cloud services in particular also give companies the opportunity to develop relatively inexpensive AI solutions for their own business challenges. In this way, sales volumes can be forecast, customer churn can be prevented or quality problems in production can be identified.


What are important questions in machine learning and AI projects?

  • What exactly do you want to achieve?
  • What are your business goals?
  • Which tools would be best?
  • Who are the users?
  • How fast do you want to achieve which ROI?
  • Is the data already available in an orderly form?


How do AI and data protection fit together?

Some people fear that data protection and privacy will be neglected when AI systems collect and evaluate data. In essence, it is about the question of the transparency of the processes. Users need to be informed about what data is being processed and can rest assured that this data is well protected. Providers of AI services could, for example, ensure that their users’ data is not uploaded to cloud servers or is only uploaded anonymously.


How do we make your ML and AI project a success?

If you already have a concept, we would be happy to create your chatbot on the platform of your choice. This includes the complete implementation with utterances (customer statements), intents (customer intentions and the chatbot reactions to them), events (triggers for actions) and entities (action objects). We connect the chatbot to your ERP, CRM systems or databases or support the technical integration – depending on your needs.

Of course, we always think along with you, we identify stumbling blocks and suggest solutions or point out alternatives.

  • We have the appropriate project experience
  • We work with a fast, iterative approach
  • We use mature technologies
  • We have established conception and planning processes
  • We have data specialists and programmers working in a team

“We understand objectives from a creative and technical point of view as well as from the perspective of your business”

– Till Neitzke, Chief Executive Officer

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