Forbes breaks down IBM’s approach to helping enterprises scale AI across increasingly complex environments → https://ibm.co/6042BrW96 This article outlines why accelerated inference, model choice, and hybrid governance matter for leaders driving operational AI. Explore how these themes align to your transformation priorities. Hear from Victor Dey on how these themes align to your transformation priorities.
While many competitors chase bigger models, IBM is doubling down on efficiency and real-world scalability—critical for regulated industries where latency and cost matter as much as accuracy. IBM’s focus on faster inference and agentic automation is a smart pivot in the enterprise AI race. Partnerships with Anthropic and Groq show a clear strategy: deliver AI that’s not just powerful, but practical for business outcomes.
IBM only targets what is best for them and their corporate growth. It always evaluates how much the customer will pay for their hardware or software first, not what is best for the customer, why they are a behemoth Lou Gerstner recognized this and wrote about it.
Enterprise AI is how the good and solid world of ERP is being powered towards that “intelligent enterprise” that has struggled to survive and sustain. Scalability is key. No reinvention needed.
Hazem Abo-Donia another pushing accelerated inference for the same reason that we started.
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Thanks for sharing my analysis, IBM watsonx! 😊