Artificial intelligence sounds like expensive high-performance computers and complex algorithms. But with the right data and technologies, it’s really easy to get started. Especially if you start with simple use cases and platforms.
Tags Artificial Intelligence
Artificial intelligence: Many companies want to take advantage of this new trend. Especially but not only, AI-based application cases require the right data basis. A comprehensive data strategy also clarifies other questions related to processes or responsibilities. Such a strategy is fairly easy to develop and implement if you use the right approach.
Artificial intelligence can make companies even more effective, faster and more modern. When it takes over routine tasks or even delivers new insights, it becomes a superpower. So to implement AI projects properly, five areas are critical to success. With appropriate steps, implementation is not difficult.
AI applications in marketing, sales and product management. Use cases and recommendations for companies that want to use artificial intelligence.
Industrial companies are increasingly launching promising AI projects. But after the proof-of-concept, the process falters: important data is missing, the results are disappointing, or the concrete use case is not so clear after all. What you can do about it.
Microsoft Ignite conference will kick-off in a few days. Here‘s my personal list of expectations, narrowed down to productivity topics and business applications for operations.
Modern sensors and ML algorithms can provide valuable services to ensure that people in old age are adequately cared for in the future.
Digital Twins of single rooms up to whole companies help to develop models for organizational processes and to increase their efficiency.
For applications in the areas of Artificial Intelligence or Machine Learning, the discussion quickly revolves around Chatbots. However, there are a few things that need to be taken into account during the introduction, such as the involvement of employees in the change process and the shift in their range of tasks.
Das IoT-Umfeld ist von einer hohen Entwicklungsgeschwindigkeit geprägt. Wie können Unternehmen auf dem Weg zum Fortschritt die richtigen Themen auswählen und in Projekte überführen? Ob Hackathon oder Design Thinking – es gibt verschiedene Möglichkeiten für das moderne Innovation Management.