Making the business case for generative AI



Get your data in order

Modern organizations manage mountains of data from a variety of disparate applications (CRM, ERP, etc.) and data sources (web servers, databases, APIs, etc.). Centralizing this information is critical to controlling how it flows, how it’s transformed, and how to keep it secure.

Flexible data architecture enables the seamless connection of data and systems that don’t easily connect (e.g., on-premises and cloud deployments). This is critical not only for adding new genAI tools to your technology stack, but also for accessing and combining data from a diverse range of inputs. This coordination can significantly lower the total cost of ownership of AI tools, speed up the development process, and provide the ability to scale.

Generative AI is pushing many organizations to orient their business around data. According to a 2024 survey report from IT leaders, nearly half of the respondents (48%) indicated they had “created a data-driven organization,” double the percentage who reported doing so from the year prior (24%).



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