AI in Action Beyond Experimentation to Transform Industry 2025

2.2 Foundational enablers for successful AI implementation To fully realize AI’s value, the AI Transformation of Industries Community highlighted the foundational enablers required at both the industry and company level. At the industry level, encouraging ecosystem collaboration is key, as it encourages shared learning, innovation and responsible AI development. Trust-building within industries allows for sharing best practices and resources while maintaining competitive integrity. At the company level, enablers for frictionless AI implementation include self-governance, workforce readiness, robust cybersecurity and an interconnected digital core.  Partnerships and collaboration have long been recognized as essential for accelerating innovation and AI is no exception to this. Companies are increasingly forming partnerships with cloud providers, AI tech firms, start-ups and public institutions to access resources and expertise for scalable AI solutions. Key strategies for collaboration include: –Strategic partnerships: Examples include alliances with cloud providers and AI firms, which provide scalable capabilities and potential data-sharing mechanisms to encourage innovation. –Co-creation: Companies work together to create tailored AI solutions through iterative processes of data sourcing and model testing. –Data access: Partnerships across ecosystems enable access to diverse, high-quality data, driving innovation. Through partnerships across the supply chain and industrial ecosystems, companies can access broader data pools that drive new innovation, where data-sharing creates a cycle where AI insights lead to further innovation and collaborative opportunities. –Risk and investment sharing: Collaborative efforts reduce the financial and technical burdens of large-scale AI deployments. This benefits start-ups, which often face financial and resource constraints. –Curated networks: Companies partner with specialized providers to build complete AI systems using a variety of models and data sources. –Public-private partnerships: Governments and non-profits support ethical AI development through funding and regulatory frameworks, like the EU’s Digital Europe Programme. Companies are increasingly forming partnerships to access resources and expertise for scalable AI solutions.Industry-level enabler 1: Ecosystem collaboration AI Governance Alliance: Transformation of Industries in the Age of AI 15