Call them changemakers. Call them rule breakers. We call them Redefiners. And in this provocative podcast, we explore how daring leaders from across industries and around the globe are redefining their organizations—and themselves—to create extraordinary impact in today’s rapidly changing world. In each episode, Russell Reynolds Associates Leadership Advisor Hoda Tahoun and former CEO Clarke Murphy host engaging, purposeful conversations with leaders in and out of the business world who shar ...
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محتوای ارائه شده توسط Domino Data Lab. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط Domino Data Lab 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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Optimizing Your Architecture for AI Innovation: BARC Survey Results
Manage episode 438105008 series 3279398
محتوای ارائه شده توسط Domino Data Lab. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط Domino Data Lab 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
What capabilities do you need to take advantage of AI and what changes will you need to make to your IT architecture? Well, let’s look at the data.
In this episode, Shawn Rogers, CEO and Fellow at BARC US, shares the results of their survey on how enterprises are optimizing their architecture for AI innovation. Shawn unpacks data on everything from the biggest obstacles to delivering AI impact to how companies are sourcing their AI capabilities.
Join us as we discuss:
Download the full report here.
…
continue reading
In this episode, Shawn Rogers, CEO and Fellow at BARC US, shares the results of their survey on how enterprises are optimizing their architecture for AI innovation. Shawn unpacks data on everything from the biggest obstacles to delivering AI impact to how companies are sourcing their AI capabilities.
Join us as we discuss:
- The AI talent gap and the strategies that firms are using to close it
- The myriad AI capabilities that high-readiness firms are implementing
- The need to manage AI costs upfront to ensure deployment
- The perpetual question of build vs. buy (or both!)
- The crucial need for AI governance to ensure approval and adoption
Download the full report here.
96 قسمت
Manage episode 438105008 series 3279398
محتوای ارائه شده توسط Domino Data Lab. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط Domino Data Lab 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
What capabilities do you need to take advantage of AI and what changes will you need to make to your IT architecture? Well, let’s look at the data.
In this episode, Shawn Rogers, CEO and Fellow at BARC US, shares the results of their survey on how enterprises are optimizing their architecture for AI innovation. Shawn unpacks data on everything from the biggest obstacles to delivering AI impact to how companies are sourcing their AI capabilities.
Join us as we discuss:
Download the full report here.
…
continue reading
In this episode, Shawn Rogers, CEO and Fellow at BARC US, shares the results of their survey on how enterprises are optimizing their architecture for AI innovation. Shawn unpacks data on everything from the biggest obstacles to delivering AI impact to how companies are sourcing their AI capabilities.
Join us as we discuss:
- The AI talent gap and the strategies that firms are using to close it
- The myriad AI capabilities that high-readiness firms are implementing
- The need to manage AI costs upfront to ensure deployment
- The perpetual question of build vs. buy (or both!)
- The crucial need for AI governance to ensure approval and adoption
Download the full report here.
96 قسمت
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