You’re reading AI at the Top - Our new series on Sundays, where we share how leading companies and their executives use AI in business.
IBM’s insights are different from what we have been studying so far.
Because IBM is not just any other Fortune 100 company using AI to scale its business, but also its core business revolves around transforming enterprises with AI.
In today’s AI at the Top, we will learn how the 114-year-old company with 280,000 employees operates with AI:
How does IBM help enterprises with AI?
What is watsonx?
IBM’s AI use cases
How does IBM help enterprises scale with AI?
IBM helps enterprises with four main solutions:
Software: Develops hybrid cloud platforms and provides AI solutions like watsonX, automations, etc. Basically deploying AI across core domains and automating repeatable tasks.
Consulting: Optimises workflows and consults on cloud architecture and technologies.
Infrastructure: Hybrid cloud solutions (perfect for enterprises worried about data security and governance), servers, storage systems, infrastructure-as-a-service, etc.
Financing: Leasing, instalment options, etc., for client acquisition of IBM hardware, software, and services.
IBM reported the software revenue of $27 billion in 2024. That’s 45% of the total revenue share last year.
With software being the core of IBM’s AI game, revenue, and its solutions for the clients, let us understand IBM’s AI product for enterprises: watsonx.