IBM Data Roadmap
Business innovation driven by generative AI is fueled by open data stores, formats, and engines; a product-oriented data fabric; and the infusion of AI at all levels to radically improve data consumption.
Data
Roadmap
Strategic milestones
All information being released represents IBM’s current intent, is subject to change or withdrawal, and represents only goals and objectives.
You can learn more about the progress of individual items by downloading the PDF in the top right corner.
2027
Have semi-autonomous agents that collaborate to manage enterprise data estates.
By 2027, all forms of data consumption will be democratized, from basic reporting to predictive insights, sophisticated analytics, and decision-making, and will be managed by semi-autonomous AI agents.
Why this matters for our clients and the world
Semi-autonomous data management will enable a globally optimized, 360° view of governed data and replicas, and enable employees to regularly make data-driven decisions in an effective, efficient, and correct fashion.
The technologies and innovations that will make this possible
We will commonly use GPUs to gain orders of magnitude improvement in data query and management. We will support the scaling of an AI-driven data consumption landscape with a 360° view of governed data and replicas. Data exchanges will go big. AI data agents will embody technical personas, such as data stewards, modelers, and engineers, and collaborate for semi-autonomous data management.
How these advancements will be delivered to IBM clients and partners
We will provide democratized access to data products with a 360° view of governance including infrastructure, data, and AI. We will make available a watsonx.data clean room and integrate AI data agents and tools throughout IBM’s data platform. IBM’s open, composable data engines will manage real-time and batch, structured and unstructured together.