Bringing AI to the mainstream

Before looking at identifying relevant use cases, it is important to understand the capabilities of AI. AI encompasses a wide range of technologies, including generative AI to create text, images or code, as well as areas such as machine learning, natural language processing, computer vision and more. These technologies allow systems to learn to think logically and make decisions, often beyond the capabilities of humans. Understanding the possibilities, but also the limitations, of artificial intelligence forms the basis for identifying potential applications.

Start by aligning AI initiatives with your overall business goals. Consider what goals you want to achieve, whether it's increasing operational efficiency, improving customer satisfaction, automating repetitive tasks or building new business lines. This clarity creates a strategic framework for identifying use cases that directly impact your strategic goals.

A crucial step is to identify inefficient areas or bottlenecks in your business processes. These can be manual, time-consuming tasks, areas with high error rates or those where human judgment is subjective and could benefit from data-driven insights. These bottlenecks are often ideal for the use of AI.

Get inspired by our broad and continuously growing overview of use cases and discover new opportunities for using AI in your organization. Our wide range of examples will help you break through old patterns of thinking and unleash your creativity. We are also happy to advise you individually with our extensive experience in the field of data, analytics and AI in order to jointly identify your next best AI use cases.

Do you want to identify the right AI use cases for your industry, your function or for an overall AI strategy? Then take a look at our interactive Applied AI Use Case Compass now.