Setting up AI-based use cases
From a technical perspective, working with data and artificial intelligence (AI) has long since become a part of everyday life. Take three steps with our data and AI experts to benefit from your data and the possibilities of AI in your company.
Our data and AI experts have already helped numerous customers to establish AI-supported use cases within their organization. We have established a three-step model to evaluate the possibilities of AI and data in your company:
- Identify and focus on potential
- Measure success and evaluate costs
- Set up AI support
This approach allows us to work with you to set up initial AI use cases in your company quickly and cost-effectively. You benefit from the knowledge of our experts, which we continuously share with you and your team to ensure that AI is embedded in your company on a sustainable basis.
How your business can become AI-driven
The first steps toward an AI and data-driven company are easier than you think, thanks to the support we provide. We will advise you individually and implement the use cases that offer you the greatest added value.
The solutions are customized to meet individual requirements. Depending on requirements and budget, solutions can also be implemented with “AI out of the box” solutions such as AI-as-a-Service (AIaaS). This is how we balance individuality, costs, and benefits. Benefits for your business include:
- Cost savings: Automating routine tasks and processes reduces labor costs.
- Quality control: AI can detect errors faster and more accurately and thus reduce waste and rework.
- Improved innovative capacity: AI-based analysis tools can identify patterns in data and help companies identify new opportunities and trends.
- Increased flexibility and adaptability: The real-time analysis of data allows you to react correctly to new requirements.
- Team enablement: Our experts share their knowledge with your team so that it can use the tools independently.
Berthold Schulte
Data & AI Consultant
We have already supported numerous clients from a variety of industries in introducing AI technologies to their company. We would be happy to advise you on your specific use cases and discuss with you how we can accompany you on the way to becoming an AI- and data-driven company.
Berthold Schulte
Data & AI Consultant
Three steps to unlocking the potential of AI and data in your organization
Our three-step program enables us to establish the use of data and AI tools in your projects for the long term. Our approach works as follows:
Step 1: Identify and focus potential
Step 2: Measure success and balancing costs
Step 3: Establish AI support
Step 1: Identify and focus potential
A lightweight and focused start can generate initial added value and keep the budget of the project initiative manageable. The aim is to identify the initial data and its potential and to test it using the AI methods and tools that are currently established and in common use.
We work with you to clearly delineate the first use case and then only consider the relevant data for that use case. This typically eliminates the need for a complex IT infrastructure to provide the data.
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Step 2: Measure success and balancing costs
This low-threshold entry point allows the success of the initiative to be measured and evaluated in a timely manner.
The added value of using the data with AI is compared with the costs and evaluated to see how they can help and provide support in the use case.
For example, we check technical feasibility in terms of data quality and the data basis. The first deployment of a solution can then be implemented in an equally lightweight manner, supported by a software toolkit of established methods and tools.
Step 3: Establish AI support
Further use cases can then be identified and developed within an agile software development approach in order to continue to benefit from the advantages of AI-supported procedures. The resulting routine within the team in handling the AI methods and tools leads to synergies in the integration of solutions, the development of the necessary infrastructure, and the provision of data.
Once the technical foundation has been laid, your company can establish further use cases in a targeted manner and use data and AI in a meaningful way in your daily work.
Step 1: Identify and focus potential
A lightweight and focused start can generate initial added value and keep the budget of the project initiative manageable. The aim is to identify the initial data and its potential and to test it using the AI methods and tools that are currently established and in common use.
We work with you to clearly delineate the first use case and then only consider the relevant data for that use case. This typically eliminates the need for a complex IT infrastructure to provide the data.
https://eu-central-1.graphassets.com/AiE4QoWSSiIQO3k152ugkz/9HZysIXLRK4RveorJdvQ
Customer success stories
Our data and AI experts have already advised companies in numerous industries on a wide range of application cases. Below is a small extract:
Potential use cases for your business
Data and AI projects can help your business in many different areas. Below is a small selection of possibilities:
Industry
E-commerce / Retail
Retail fraud detection
Personalized recommendations/recommendation systems: an individual approach to customers
Strengthening customer relationships: customer churn prediction
Understanding customers: react faster to customer ratings and reviews using sentiment analysis
Exploiting the potential of ChatGPT and generative AI
Insurance
Healthcare
Do you have any further questions?
Would you like to know whether artificial intelligence could be of benefit for your business and try out some initial steps? We will be happy to accompany you on your journey.
Consultant Data & AI
Berthold Schulte
Consultant Data & AI