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محتوای ارائه شده توسط David Linthicum. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط David Linthicum یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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Outpaced and Outperformed: Big Cloud's Blindspot Exposed

19:03
 
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Manage episode 478240045 series 3660640
محتوای ارائه شده توسط David Linthicum. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط David Linthicum یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

AWS, once considered the gold standard of cloud innovation, seems to be faltering as it joins the race for agentic AI far later than its competitors. The announcement of a new team dedicated to building autonomous AI agents feels more like a response to external pressure than a proactive step forward. This delay raises unsettling questions about whether AWS is still the innovative force it once was or if it's beginning to lag behind in an industry that demands rapid adaptation.

For years, AWS set the pace for innovation in the cloud and enterprise tech industries. But the lack of urgency in pursuing agentic AI has left observers and enterprises wondering if AWS is growing complacent. While other major players aggressively define the future of AI-driven automation, AWS now looks like a reluctant participant rather than a visionary leader. By the time AWS fully ramps up its efforts, the market may have already shifted, leaving them at a competitive disadvantage.

More troubling is what this indicates about AWS’s overall trajectory. Enterprises depend on AWS not just for cloud infrastructure, but for innovation—the ability to stay ahead of trends and deliver cutting-edge solutions. This tardy embrace of agentic AI has cast doubt on its ability to do so, leaving many to wonder if AWS is no longer pushing boundaries but merely trying to keep up. In a field moving as fast as AI, being late is more than a misstep—it’s a signal of declining leadership.

  continue reading

79 قسمت

Artwork
iconاشتراک گذاری
 
Manage episode 478240045 series 3660640
محتوای ارائه شده توسط David Linthicum. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط David Linthicum یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

AWS, once considered the gold standard of cloud innovation, seems to be faltering as it joins the race for agentic AI far later than its competitors. The announcement of a new team dedicated to building autonomous AI agents feels more like a response to external pressure than a proactive step forward. This delay raises unsettling questions about whether AWS is still the innovative force it once was or if it's beginning to lag behind in an industry that demands rapid adaptation.

For years, AWS set the pace for innovation in the cloud and enterprise tech industries. But the lack of urgency in pursuing agentic AI has left observers and enterprises wondering if AWS is growing complacent. While other major players aggressively define the future of AI-driven automation, AWS now looks like a reluctant participant rather than a visionary leader. By the time AWS fully ramps up its efforts, the market may have already shifted, leaving them at a competitive disadvantage.

More troubling is what this indicates about AWS’s overall trajectory. Enterprises depend on AWS not just for cloud infrastructure, but for innovation—the ability to stay ahead of trends and deliver cutting-edge solutions. This tardy embrace of agentic AI has cast doubt on its ability to do so, leaving many to wonder if AWS is no longer pushing boundaries but merely trying to keep up. In a field moving as fast as AI, being late is more than a misstep—it’s a signal of declining leadership.

  continue reading

79 قسمت

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