The rapid advances are noticeably bringing the topic of artificial intelligence to the forefront: while different communities are already producing usable images with DALL.E and texts with ChatGPT, CIOs are naturally setting other priorities. We already discussed this intensively at the CIOmove in Switzerland, and we will certainly continue these discussions in Portugal!
AI could contribute between $13 and $15.7 trillion to global GDP as early as 2030. Companies can use AI to fundamentally change their products and services as well as the processes that contribute to their creation. But companies still struggle to successfully transition AI pilots and prototypes into productive use and scalable market offerings, as Benjamin van Giffen of the University of St. Gallen and former Siemens CIO Helmuth Ludwig of Southern Methodist University write in their joint paper.
One of the main reasons for the lack of progress, they say, is the difficulty of making modern AI technologies accessible to companies and organizations in a way that truly fundamentally changes practices and processes.
In a detailed case study, the two authors describe how Siemens used the democratization of AI to identify, realize, and scale use cases by integrating the unique skills of subject matter experts, data scientists, and IT professionals. Based on this experience, van Giffen and Ludwig provide recommendations for building organizational capabilities and effectively addressing the challenges of adopting the latest AI technologies.
