It didn’t all change in March 2020. Not really. The UK high street has been in the throes of a gradual revolution for decades. From the rise of ecommerce, to the birth of mobile, social commerce, and a growing emphasis on experience, change has been underway for a while. In fact for many, the pandemic has acted as a wake-up call. Digital transformation was no longer a ‘nice to have’ but a matter of survival. Necessity sparked innovation and customers are enjoying more flexibility and conveni ...
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محتوای ارائه شده توسط SEED TO SCALE Podcast Series and Anand Daniel. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط SEED TO SCALE Podcast Series and Anand Daniel 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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Building Agentic AI for the Enterprise with Ema | Decoding AI
Manage episode 436431268 series 3242177
محتوای ارائه شده توسط SEED TO SCALE Podcast Series and Anand Daniel. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط SEED TO SCALE Podcast Series and Anand Daniel 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
With GenAI on the rise, software is evolving from a tool that needs constant supervision to an intelligent partner that handles tasks autonomously, similar to human assistants. This shift promises a future where enterprises are more efficient, with AI seamlessly integrating into daily operations. In Episode 1 of SeedToScale's Decoding AI series, Accel's Anagh Prasad explores the future of enterprise software with Surojit Chatterjee, Founder and CEO of Ema, a company which elevates Agentic AI to the enterprise level. Surojit explains how the next generation of enterprise software, driven by Gen AI, will be radically different from the current systems. These new applications will break down data silos and access information across the enterprise to create adaptive, real-time user interfaces that respond dynamically to user needs and roles. Watch the full episode as Surojit shares how Ema is designed to bridge the gap between AI capabilities and business needs, and how Gen AI, much like past technological revolutions, is poised to create more jobs and opportunities than we can currently imagine.
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97 قسمت
Manage episode 436431268 series 3242177
محتوای ارائه شده توسط SEED TO SCALE Podcast Series and Anand Daniel. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط SEED TO SCALE Podcast Series and Anand Daniel 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
With GenAI on the rise, software is evolving from a tool that needs constant supervision to an intelligent partner that handles tasks autonomously, similar to human assistants. This shift promises a future where enterprises are more efficient, with AI seamlessly integrating into daily operations. In Episode 1 of SeedToScale's Decoding AI series, Accel's Anagh Prasad explores the future of enterprise software with Surojit Chatterjee, Founder and CEO of Ema, a company which elevates Agentic AI to the enterprise level. Surojit explains how the next generation of enterprise software, driven by Gen AI, will be radically different from the current systems. These new applications will break down data silos and access information across the enterprise to create adaptive, real-time user interfaces that respond dynamically to user needs and roles. Watch the full episode as Surojit shares how Ema is designed to bridge the gap between AI capabilities and business needs, and how Gen AI, much like past technological revolutions, is poised to create more jobs and opportunities than we can currently imagine.
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continue reading
97 قسمت
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