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The best AI experiences don't feel like AI experiences.
As @caro_milanesi points out, consumers who are comfortable with AI can engage with Siri directly, while everyone else can discover @Apple Intelligence naturally through the apps they already use.
That's a very different
Most people don't care whether it's an agent, an assistant, or a chatbot. They just want it to work
@BenBajarin explains why @Apple's AI strategy is less about showing off technology and more about making intelligence disappear into the experience itself.
That's what makes
The most interesting thing @Apple announced at WWDC may have been what it didn't announce.
No moonshots. No promises of fully autonomous AI agents. No demos of a future that may or may not arrive. Instead, Apple focused on making devices work better, making Siri more useful, and
The biggest barrier to AI adoption is not the technology. It's time.
Tom Butler, Vice President of WW Commercial Portfolio and Product Management at @Lenovo explains why middle management is often where AI adoption stalls. Leaders are told to do more with less, then asked to
Culture does not scale through mandates.
Tom Butler, Vice President of WW Commercial Portfolio and Product Management at @Lenovo shares his AI Knights of the Round Table approach: a representative from every team comes together to share how they are using AI, then takes the
Workstations are having a moment.
Tom Butler, Vice President of WW Commercial Portfolio and Product Management at @Lenovo explains why enterprises are running larger AI models locally during the test and pilot phase, then scaling to the cloud once they are ready to deploy.
As
AI in the enterprise has a messaging problem.
The industry sold transformation and delivered meeting summaries.
On this episode of Bit by Bit: Leadership Conversations, Tom Butler, Vice President, WW Commercial Portfolio and Product Management at @Lenovo explains why
The math of “automate 70% of inquiries, cut 70% of headcount” sounds clean. It does not work.
Adrian McDermott (@amcdermo), CTO of @Zendesk, explains why companies that have tried it have learned the hard way, and what a smarter use of AI in customer service actually looks like
The industrial business of the future runs on agents.
Some are digital (LLMs). Some are embodied (robots). Some are humans.
The whole thing needs orchestration.
@austinsemis chatted about this and more with Nvidia's VP of Robotics and Edge AI, Deepu Talla.
Chapters:
(00:00)
In the 1800s, economists expected more efficient steam engines to reduce coal consumption. The opposite happened.
Adrian McDermott (@amcdermo), CTO of @Zendesk, applies the same logic to AI-powered customer service: the more efficient you make it, the more people will use it.
Most businesses think their customer service volume reflects their customer demand. Adrian McDermott (@amcdermo), CTO of @Zendesk, says that is wrong.
The customers you are not hearing from are the ones who gave up, hung up, or walked away. That gap is the service debt, and AI