Hello. This is Stanton Jones and Alex Bakker with what’s important in the IT and business services industry this week.
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For enterprises that want to use AI to achieve business goals, managing and modernizing their data is a critical requirement. And many leaders say their current efforts are underperforming. This is why enterprises should consider managing – and sourcing – their data initiatives as a distinct “data tower.”
AI’s rapid evolution—from predictive to generative to agentic—has transformed how enterprises need to handle data. However, unlike predictive AI, which depends on carefully curated data models, generative AI’s reliance on massive unstructured datasets is putting traditional data management frameworks and activities under tremendous pressure.
We’re looking at some of these activities in today’s Data Watch: on the X axis is the level of investment in data management activities; on the Y axis is the level of performance of these activities against expectations.
We see significant opportunity for service providers to help enterprises with these data management and modernization activities – what we’re collectively calling the “data tower.” In fact, we’re already seeing a number of sourcing deals in the market structured this way. And over the next 24 months, 60% of enterprises plan on adding service providers to support these data tower activities.
Enterprises are under intense pressure to move their AI programs forward quickly, but most are constrained by a lack of expertise, an inability to hire and an inability to upskill employees to work in these emerging areas. We believe this will become an important area of growth for service providers.