IBM’s Post

Biggest takeaway for me is that everyone can implement this at different scale. The biggest challenge is finding those key areas to automate, specifically those needing a complete redesign.

- The article underscores how AI has rapidly moved from a futuristic concept to a core operational tool in major enterprises like IBM. IBM’s use of AI to save millions of hours highlights the technology's tangible impact on productivity—particularly in automating repetitive, time-consuming tasks. - What’s notable is how AI is no longer confined to research labs or niche applications; it’s now embedded in everyday workflows, from customer service to internal operations. - The fact that a company as established and complex as IBM is scaling AI across its global workforce signals that AI adoption has become mainstream, not experimental. - This shift also reflects a broader industry trend—where organizations are treating AI as a strategic asset rather than a tech add-on. However, as AI becomes mainstream, the focus must also shift toward transparency, ethical use, and long-term value—not just short-term efficiency gains.

AI will change and improve things for all companies. IBM has the worlds greatest AI models. Call us to find out more.

Muchas gracias por compartir

I believe that AI can possibly make IBM the most productive company in America, especially with all of the Watsonx platforms, and how they work together to generate content in the workflow.

Incredible to see 3.9 million hours saved through smart AI integration! ⏱️🤖 IBM IBM watsonx leading as its own "Client Zero" truly showcases confidence in its tech

It's inspiring to see how IBM watsonx is leading the way in harnessing AI for efficiency. The concept of becoming "Client Zero" really highlights the transformative potential of technology when applied thoughtfully. Looking forward to seeing how this approach continues to evolve and impact the industry.

Truly demonstrates the transformative potential of AI in enterprise applications

Absolutely!

Impressive to see IBM, one of the most resilient tech giants, pushing boundaries again in AI, not just as a provider, but as its own proving ground. This principled, scaled approach will certainly shape enterprise AI adoption across industries. At our AI Lab, we're taking a parallel yet focused path, building an AI platform from the ground up for the telco sector. We’re a lean team of engineers, designing with purpose, not just ambition. In a landscape often crowded with noise, clarity of execution is our competitive edge. Strategic alignment and domain depth will define the next AI leaders. We believe that's how real transformation happens, and perhaps, where paths converge.