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$AMZN AWS launched Amazon Quick which is a desktop AI assistant that works across your apps and data to surface what matters and take action. This is agentic AI turning the inbox into an archive and becoming the layer that prioritizes and handles the busywork.

Shay Boloor

456,578 subscribers

44,667 次观看 • 6 个月前 •via X (Twitter)

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Ground Floor 的头像

Ground Floor6 个月前

so $AMZN gets the compute revenue, data insights & enterprise lock-in, woww

dylan static ⚡ 的头像

dylan static ⚡6 个月前

One person's spam is another person's opportunity. An agent that filters based on learned patterns will confidently delete the email that was actually the most important. That confidence is the failure mode. How does Quick handle ambiguous priority decisions?

Max's Ghost 的头像

Max's Ghost6 个月前

And killed the Kindle.

Manav 的头像

Manav6 个月前

This could be huge for $AMZN. Agentic AI that kills inbox overload and actually executes? Enterprise game-changer. @StockSavvyShay

Annika 的头像

Annika6 个月前

Turning the inbox into an archive only works if the agent's prioritization matches yours. The busywork it filters out for one person is the signal another person needs to see. The hard part is not building the layer. It's the two weeks after rollout when the wrong email got buried and nobody noticed until it mattered.

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We've all experienced how consumer AI can help in our personal lives, but that same experience hasn't been available at work. Most enterprise data is siloed, consumer AI can't access your work tools, and many orgs won't allow it due to security concerns. We built Amazon Quick Suite to solve those problems. It’s an agentic AI app that acts as your AI teammate at work – connecting to your business data and apps, and letting you interact with AI agents that can find insights, conduct research, and even take actions across your systems – with the security and privacy enterprises need. Quick works across your existing ecosystem, from emails to Salesforce to Slack to AWS services. You can create custom agents to draft content in your personal style, use Quick Research for in-depth analysis, or set up Quick Flow to automate tasks. And most importantly, your interactions never train the underlying models. We've been testing with Amazon employees and select customers and early results show just how transformational Quick is… cutting analysis time from months to days, and turning week-long tasks into minutes. This is an exciting moment and we're just getting started. Quick is available now, so have at it!

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