Your AI Strategy Should Be The Same As Your Data Strategy

In 2025, discussions about data inevitably include artificial intelligence (AI) and how organizations manage and plan for its integration. Sigma emphasizes that technical expertise should not be a barrier to working with data or AI, advocating for cloud data warehouses (CDWs) as the central hub for business data due to their consistency, security, and innovative capabilities. An inclusive AI strategy should cater to diverse skill sets, allowing both technical and non-technical users to engage with AI in ways that enhance their specific roles. Leveraging the capabilities of CDWs, organizations can access leading large language models (LLMs) without the need for specialized software, facilitating seamless integration into existing workflows. Sigma underscores the importance of a flexible long-term AI strategy that can adapt to technological advancements without disrupting user experience, enabling teams to use the best available AI tools as they evolve. This approach aligns AI strategy closely with data strategy, ensuring inclusivity, leveraging cloud innovations, and maintaining adaptability in a rapidly changing AI landscape.