Developer Tea exists to help driven developers connect to their ultimate purpose and excel at their work so that they can positively impact the people they influence. With over 17 million downloads to date, Developer Tea is a short podcast hosted by Jonathan Cutrell, engineering leader with over 15 years of industry experience. We hope you'll take the topics from this podcast and continue the conversation, either online or in person with your peers. Email: [email protected]
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محتوای ارائه شده توسط Adventures in DevOps, Will Button, and Warren Parad. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط Adventures in DevOps, Will Button, and Warren Parad 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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Ground Truth & Guided Journeys: Rethinking Data for AI with Inna Tokarev Sela
Manage episode 486858279 series 3238263
محتوای ارائه شده توسط Adventures in DevOps, Will Button, and Warren Parad. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط Adventures in DevOps, Will Button, and Warren Parad 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
Inna Tokarev Sela, CEO and founder of Illumex, joins the crew to break down what it really means to make your data “AI-ready.” This isn’t just about clean tables—it’s about semantic fabric, business ontologies, and grounding agents in your company's context to prevent the dreaded LLM hallucination. We dive into how modern enterprises just cannot build a single source of truth, not matter how hard they try. All the while knowing that it's required to build effected agents utilizing the available knowledge graphs and.
The conversation unpacks democratizing data access and avoiding analytics anarchy. Inna explains how automation and graph modeling are used to extract semantic meaning from disconnected data stores, and how to resolve conflicting definitions. And yes, Warren finally coughs up what's so wrong with most dashboards.
Lastly, we quickly get to the core philosophical questions of agentic systems and AGI, including why intuition is the real differentiator between humans and machines. Plus: storage cost regrets, spiritual journeys disguised as inference pipelines, and a very healthy fear of subscription-based sleep wearables.
Picks
…
continue reading
The conversation unpacks democratizing data access and avoiding analytics anarchy. Inna explains how automation and graph modeling are used to extract semantic meaning from disconnected data stores, and how to resolve conflicting definitions. And yes, Warren finally coughs up what's so wrong with most dashboards.
Lastly, we quickly get to the core philosophical questions of agentic systems and AGI, including why intuition is the real differentiator between humans and machines. Plus: storage cost regrets, spiritual journeys disguised as inference pipelines, and a very healthy fear of subscription-based sleep wearables.
Picks
- The Adventures In DevOps: Survey
- Warren: The Non-Computability of Intuition
- Will: The Arc Browser
- Inna: Healthy GenAI skepticism
278 قسمت
Manage episode 486858279 series 3238263
محتوای ارائه شده توسط Adventures in DevOps, Will Button, and Warren Parad. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط Adventures in DevOps, Will Button, and Warren Parad 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
Inna Tokarev Sela, CEO and founder of Illumex, joins the crew to break down what it really means to make your data “AI-ready.” This isn’t just about clean tables—it’s about semantic fabric, business ontologies, and grounding agents in your company's context to prevent the dreaded LLM hallucination. We dive into how modern enterprises just cannot build a single source of truth, not matter how hard they try. All the while knowing that it's required to build effected agents utilizing the available knowledge graphs and.
The conversation unpacks democratizing data access and avoiding analytics anarchy. Inna explains how automation and graph modeling are used to extract semantic meaning from disconnected data stores, and how to resolve conflicting definitions. And yes, Warren finally coughs up what's so wrong with most dashboards.
Lastly, we quickly get to the core philosophical questions of agentic systems and AGI, including why intuition is the real differentiator between humans and machines. Plus: storage cost regrets, spiritual journeys disguised as inference pipelines, and a very healthy fear of subscription-based sleep wearables.
Picks
…
continue reading
The conversation unpacks democratizing data access and avoiding analytics anarchy. Inna explains how automation and graph modeling are used to extract semantic meaning from disconnected data stores, and how to resolve conflicting definitions. And yes, Warren finally coughs up what's so wrong with most dashboards.
Lastly, we quickly get to the core philosophical questions of agentic systems and AGI, including why intuition is the real differentiator between humans and machines. Plus: storage cost regrets, spiritual journeys disguised as inference pipelines, and a very healthy fear of subscription-based sleep wearables.
Picks
- The Adventures In DevOps: Survey
- Warren: The Non-Computability of Intuition
- Will: The Arc Browser
- Inna: Healthy GenAI skepticism
278 قسمت
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