Data & AI in Core Value Creation as Tomorrow's Competitive Advantage – Boards & Executive Leadership are Called to Take Responsibility
Artificial Intelligence presents companies with significant challenges and puts existing business models under pressure. The availability and quality of relevant data, target-oriented IT structures, and security requirements are obstacles to successful AI transformation – and often reasons why AI projects fail.
AI initiatives are often launched and tested outside the core value creation of companies, and those responsible are then disappointed when the great success does not materialize. The decentralized control of projects too often leads to capacity and prioritization problems and delays successful implementation.
What is needed for the successful use of AI? And how do I bring people along in this transformation?
Under the guidance of François Rüf, we discussed solutions and experiences at two Future Leadership Events. Each event had 12 CIOs from global and national companies across various industries sharing their experiences.