Asking “What is your AI Stack?” is poised to become as routine as enquiring about a company’s tech stack. This shift is due to the increasing complexity and diversity of AI use within organisations. Companies are likely to use a mix of large AI models via subscriptions, bespoke AI solutions created through open-source tools, and tailored, on-demand AI for specific needs.
The idea of an AI stack is quickly gaining prominence in business across all industries. But what exactly is an AI stack? In simple terms, an AI stack refers to the range of AI technologies, platforms, and tools a company employs to enhance its operations and stimulate innovation. It’s not just about adopting a single AI system; it’s about curating a comprehensive AI ecosystem designed to meet specific business goals.
The structure of an AI stack will differ significantly from one organisation to another. As Alexander Sukharevsky, a senior partner at McKinsey, explains, “The future enterprise will rely on a core system of numerous foundational models. Some will be proprietary, purchased from external sources, others will be developed in-house, and some will leverage open-source technology.”
An AI stack might include:
- Subscriptions to large language models for general AI tasks
- Custom-developed AI models tailored to specific business operations
- Adapted open-source AI tools for unique business needs
- Specialised AI systems for different departments or functions
- AI-driven analytics platforms
- AI governance and risk management systems
The success of an AI stack depends not only on the tools it comprises but also on how they are integrated and used to deliver business value. Building an effective AI stack isn’t about amassing the latest technology; it requires a strategic approach that aligns with your business objectives, complements your existing infrastructure, and accounts for your organisation’s capacity for change. Responsible AI practices should also be a priority, ensuring risks related to accuracy, privacy, and ethics are managed.
Remember, your AI stack is not static. The AI landscape evolves quickly, and regular evaluation and updates to your AI stack are essential to remain competitive in this increasingly AI-driven world.
In summary, as AI becomes more embedded in business processes, the question “What is your AI stack?” will be as common as queries about a company’s tech stack. By carefully designing and managing your AI stack, you position your business to fully leverage AI’s potential, driving innovation, efficiency, and growth in the future of AI-powered industries.