The advantages of partnership
Even if they operate on a global scale, individual enterprises tend only to have their own frame of reference. By contrast, a capable external services provider can bring knowledge and insight drawn from a wide range of experience, and can help to address challenges, even if those issues morph and grow.
Such a provider can contribute generative AI expertise in a number of ways, including:
Standardization: Making the best use of emerging industry architectures and cross-sector experience for the best results
Enterprise: Integrating into existing mature end-to-end industrialized processes, incorporating new AI-driven ethics, privacy, capability, trust, and enterprise governance factors
Commercialism: Ensuring that Gen AI is implemented and managed in a hard-headed business manner that is mindful of cost and carbon boundaries, and that provides safeguards for privacy, intellectual property, and sovereignty
Ecosystem: Established partnerships with the key hyperscalers and niche high-value players, sufficient to enable at-scale implementations
Compliance: Explicitly managing the specific requirements of the engineering domain, including formally managed quality, compliance, sustainability, security, and safety
Capacity: Demonstrable international Engineering Research & Development expertise to support organizations on their AI-enabled journey, as well as partnerships with major third-party developers, ensuring solutions can be deployed anywhere and at any scale
Engineering domain knowledge: Clear strengths in software engineering, product and systems engineering, manufacturing and operations, and digital engineering
Innovation: Close and productive relationships with leading commercial and academic AI innovators
