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.
2024
Make data consumption and management smarter with generative AI.
In 2024, we will use AI in data consumption and management, and open metadata will become a differentiator. Driven by AI, we will blur the line between how structured and unstructured data is managed.
Why this matters for our clients and the world
Self-service data consumption will increase return on investment. Less reliance on expert data skills will lead to more and more-diverse data consumers. Secure, cost-efficient data operations will reduce silos and raise productivity.
The technologies and innovations that will make this possible
AI-based agents will help users to easily find and create high-quality data views and custom pipelines. Open metadata enables integration and interop through the data ecosystem. Multi-cloud data observability and transparent access to data will emerge. Unstructured data processing will improve significantly. LLMs will improve SQL generation.
How these advancements will be delivered to IBM clients and partners
watsonx.governance will power insights on data and AI attributes like fairness and drift. watsonx.ai is fueled by data prepared and managed on watsonx.data, and watsonx.data is infused with watsonx.ai models. Lineage becomes critical and is tracked via Manta/IKC. Open technical and business metadata threads through watsonx and IKC.