Listen Score
LS 37
Global Rank
TOP 2.5%

درباره این پادکست 🔗

میزبان‌ها:
فرکانس به روز رسانی:
daily
میانگین طول صدا:
29 minutes
مصاحبه های مهمان
انگلیسی
ایالات متحده آمریکا
670 قسمت
از سال 16 اوت 2019
episodic

AUDIENCE OF THIS PODCAST 🔗

~97.30% of listeners are from United States.
🇺🇸
US
97.30%
🇸🇪
SE
0.59%
🇵🇭
PH
0.25%
🇩🇰
DK
0.23%
🇫🇷
FR
0.20%
🇨🇦
CA
0.18%
🇳🇱
NL
0.16%
🇧🇷
BR
0.10%
Others
0.99%
* Data source: directly measured on Listen Notes. بلادرنگ

آخرین اپیزود 🔗

As AI models become more powerful and affordable, enterprises still face a major obstacle to realizing the full potential of AI agents: the context gap. Without access to accurate, relevant information, even the most advanced models struggle to deliver meaningful results. In this episode of The N…

جستجوی اپیزودهای گذشته

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اپیزود قبلی

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As AI agents transform how businesses access and process data, traditional siloed infrastructure is struggling to keep pace. In this episode of The New Stack podcast, recorded at AGNTCon + MCPCon 2026, Frederic Lardinois speaks with Bianca Lewis, Executive Director of the OpenSearch Softw…
AI coding agents are becoming more autonomous, thanks to advances in harness engineering that enable them to identify and correct mistakes before human review. In the la…
In this episode of The New Stack podcast, recorded at AGNTCon + MCPCon in San Jose, Nick Lucchesi speaks with Mike Chambers, Senior AI Developer Experience Engineer at AWS, about how small decision models could make AI agents faster, more efficient, and cost-effective. Unlike large language models …
In this episode of The New Stack podcast, recorded at AgentCon + MCPCon in San Jose, host Nick Lucchesi speaks with Manik Surtani, co-founder and CTO of the Agentic AI Foundation (AAIF), about the growing importance of open standards, interoperability, and vendor-neutral governance in agentic AI. W…
Turning a promising AI demo into a reliable, production-ready application requires more than powerful models. At AGNTCon + MCPCon in San Jose, Jeu George, Co-Founder and …
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As AI agents generate increasingly large volumes of code, traditional code reviews are struggling to keep pace. Shadaj Laddad, research lead for the Hydro team at AWS,&n…
سلب مسئولیت: پادکست و آثار هنری تعبیه شده در این صفحه متعلق به The New Stack است که متعلق به صاحب آن است و به Listen Notes، Inc وابسته یا تایید نشده است.