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IBM Automation Roadmap

Digital labor automates business, IT, and security tasks. Advancements in generative AI and code generation will transform automation across all levels, across industries.

Automation
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

Bring together business insights and IT investments.

Business OKRs and IT spending converge with greater visibility, recommendations for optimization, and intelligent remediations, increasing efficiency and ROI. We will advance digital labor through greater use of generative AI for dynamically sequencing tasks.

Why this matters for our clients and the world

With business and IT spending and operations linked, enterprises can scale faster and align IT investment to business-critical projects. Digital labor will dramatically increase productivity. Generative AI will dramatically improve the mean time to resolutions for IT incidents across applications, including generative AI platforms (e.g., watsonx).

The technologies and innovations that will make this possible

IT observability will include financial spending, business processes, and AI processing to provide a holistic view. Generative AI will automate more complex tasks in digital labor, classify financial data for business observability, and identify anomalies in IT spending. Incident remediation using generative AI will diagnose and summarize problems earlier with probable cause and provide remediation with code.

How these advancements will be delivered to IBM clients and partners

An initial trusted automation platform will be delivered with increasing accuracy, robustness, transparency, auditability, and usefulness across Digital Labor. A new platform will be provided for converging business objectives and IT spending with proactive incident management capabilities.