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
Democratize governed data consumption via generative AI to bolster productivity.
By 2027, all forms of data consumption will be democratized, from basic reporting to predictive insights, sophisticated analytics, and decision-making. Employees regularly driving actions with data will triple, boosting productivity.
Why this matters for our clients and the world
True data-driven enterprises will empower employees in every role, function, and skill level to leverage data and its insights to drive efficiencies, increase competitiveness, and gain advantages.
The technologies and innovations that will make this possible
Natural language interactions and intelligent visualizations will be scaled to large dynamic data sets. Almost all analytic tasks will be facilitated by new foundation model customization capabilities to scale in the field to the task at hand. 360° view of governed data and replicas will support scaling an AI-driven data consumption landscape. Data exchanges will go big.
How these advancements will be delivered to IBM clients and partners
Democratized access to data products will be provided with a 360° view of governance that includes infrastructure, data, and AI. Watsonx.data cleanroom for sharing will be available.