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Agentic AI will transform every enterprise–but only if agents are trusted experts. The key: Evaluation & tuning on specialized, expert data. I’m excited to announce two new products to support this–Snorkel AI Evaluate & Expert Data-as-a-Service–along w/ our $100M Series D! --- Snorkel Evaluate is our new data-centric agentic...

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Alex Ratner

6,736 subscribers

49,804 görüntüleme • 1 yıl önce •via X (Twitter)

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📽️ For a deeper dive into Snorkel Evaluate & Expert Data-as-a-Service- check out our walkthrough of building an enterprise agentic AI system in insurance here:

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Alex Ratner1 yıl önce

📅 Join Snorkel AI and innovators from @Accenture, @Comcast, @Stanford , @QBE, @UWMadison, and more on June 26:

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📊 Check out the open sourced benchmark dataset preview:

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📜 And for more detail, read more about the announcement and what it means for the future of agentic AI:

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🚀 Finally: Thank you to our investors, both existing and new - Addition, @GreylockVC, @Lightspeedvp @qbeventures, @bnyglobal, @prosperity7VC, and others - and launch partners @rox__ai @anthropicAI @awscloud!!

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Stop wasting time following up with leads. Let our AI agents do it for you.

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Sen Wu1 yıl önce

@SnorkelAI Congratulations, Alex and Snorkel team!

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Stefano Ermon1 yıl önce

@SnorkelAI Congrats!

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@SnorkelAI Agentic AI’s potential hinges on trust and trust starts with data. This move by Snorkel nails that foundation.

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Khaled Saab1 yıl önce

@SnorkelAI Much needed, especially in the medical domain! Congrats!

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David Hendrickson1 yıl önce

@SnorkelAI Do you generate more business cleaning data for users or building custom data agents? My clients prefer to learn how to clean their own data and build (& maintain) their own agents.

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Alex Ratner1 yıl önce

@SnorkelAI Our work is a mix but we love supporting customers in being self-serve via our platform- agree that's a powerful mode to be in!

Benzer Videolar

Scale alone is not enough for AI data. Quality and complexity are equally critical. Excited to support all of these for LLM developers with Snorkel AI Data-as-a-Service, and to share our new leaderboard! — Our decade-plus of research and work in AI data has a simple point: scale alone is not enough. AI success is all about the quality, complexity, and distribution of data—in addition to volume. We’re excited to be powering leading LLM developers with Snorkel AI Expert Data-as-a-Service, our white glove service for custom, expert-level AI datasets—and to now preview some of what we’re building via our new Expert Data Leaderboard (🔗 in 🧵) + upcoming OSS dataset releases! Snorkel Expert Data-as-a-Service is built to meet the rapidly evolving data needs of the agentic AI world—where success is built on the quality, complexity, and distribution of datasets, in addition to size and scale. This kind of high-quality, frontier AI data can only come from a union of technology and human expertise. With Snorkel Expert Data-as-a-Service, we’re powering frontier LLM developers across agentic, expert knowledge, reasoning, coding, multi-modal, and other task types via the combination of these two key components: - (1) The Snorkel Expert Network: A global team of subject matter experts focused wholly on specialized knowledge–spanning thousands of topics in STEM/academic, vertical/professional, and consumer/lifestyle domains. - (2) Snorkel AI Data Development Platform: Our unique programmatic data curation and quality control platform, accelerating and improving expert authoring and review through principled techniques developed over the last decade of R&D. Now: we’re incredibly excited to showcase some of the power of Snorkel Expert Data-as-a-Service via the new Snorkel Leaderboard—putting frontier models to the test in complex, agentic, and reasoning settings inspired by real industry scenarios (not esoteric puzzles)! We’ll be releasing new leaderboards and accompanying expert-verified open source datasets (coming soon!) regularly. To start, we’re sharing three initial ones in preview: - SnorkelFinance: Q&A over financial documents requiring agentic tool-calling and reasoning - SnorkelUnderwrite: Agentic insurance tasks requiring industry-specific reasoning and tool use - SnorkelSequences: Mathematical tasks requiring compositional multi-step reasoning
1:11

Scale alone is not enough for AI data. Quality and complexity are equally critical. Excited to support all of these for LLM developers with Snorkel AI Data-as-a-Service, and to share our new leaderboard! — Our decade-plus of research and work in AI data has a simple point: scale alone is not enough. AI success is all about the quality, complexity, and distribution of data—in addition to volume. We’re excited to be powering leading LLM developers with Snorkel AI Expert Data-as-a-Service, our white glove service for custom, expert-level AI datasets—and to now preview some of what we’re building via our new Expert Data Leaderboard (🔗 in 🧵) + upcoming OSS dataset releases! Snorkel Expert Data-as-a-Service is built to meet the rapidly evolving data needs of the agentic AI world—where success is built on the quality, complexity, and distribution of datasets, in addition to size and scale. This kind of high-quality, frontier AI data can only come from a union of technology and human expertise. With Snorkel Expert Data-as-a-Service, we’re powering frontier LLM developers across agentic, expert knowledge, reasoning, coding, multi-modal, and other task types via the combination of these two key components: - (1) The Snorkel Expert Network: A global team of subject matter experts focused wholly on specialized knowledge–spanning thousands of topics in STEM/academic, vertical/professional, and consumer/lifestyle domains. - (2) Snorkel AI Data Development Platform: Our unique programmatic data curation and quality control platform, accelerating and improving expert authoring and review through principled techniques developed over the last decade of R&D. Now: we’re incredibly excited to showcase some of the power of Snorkel Expert Data-as-a-Service via the new Snorkel Leaderboard—putting frontier models to the test in complex, agentic, and reasoning settings inspired by real industry scenarios (not esoteric puzzles)! We’ll be releasing new leaderboards and accompanying expert-verified open source datasets (coming soon!) regularly. To start, we’re sharing three initial ones in preview: - SnorkelFinance: Q&A over financial documents requiring agentic tool-calling and reasoning - SnorkelUnderwrite: Agentic insurance tasks requiring industry-specific reasoning and tool use - SnorkelSequences: Mathematical tasks requiring compositional multi-step reasoning

Alex Ratner

495,824 görüntüleme • 1 yıl önce

HERE’S TODAY’S FOX BUSINESS SEGMENT • The “SaaSpocalypse” 2026: legacy SaaS gets repriced as the plumbing layer in an agentic AI stack • Where value is migrating in the Agentic AI Stack: orchestration, security, connectivity, and data • Cyber picks for the agentic era: $CRWD as the interaction layer for agents, $RBRK as the “undo button” for agents & $ZS as the control plane for agent traffic • Why AI systems can’t function without clean, well-organized data: $SNOW, $MDB • The enterprise AI bottleneck: nobody is better positioned than $PLTR sitting between cheap, powerful models & messy, valuable enterprise data • Picks-and-shovels winner in agentic AI: $NET
7:01

HERE’S TODAY’S FOX BUSINESS SEGMENT • The “SaaSpocalypse” 2026: legacy SaaS gets repriced as the plumbing layer in an agentic AI stack • Where value is migrating in the Agentic AI Stack: orchestration, security, connectivity, and data • Cyber picks for the agentic era: $CRWD as the interaction layer for agents, $RBRK as the “undo button” for agents & $ZS as the control plane for agent traffic • Why AI systems can’t function without clean, well-organized data: $SNOW, $MDB • The enterprise AI bottleneck: nobody is better positioned than $PLTR sitting between cheap, powerful models & messy, valuable enterprise data • Picks-and-shovels winner in agentic AI: $NET

Shay Boloor

191,754 görüntüleme • 4 ay önce

Sat down with Kari Ann Briski, VP of Generative AI Software for Enterprise @ NVIDIA, to discuss NVIDIA’s Nemotron open models, how training data can be used for building agentic systems, and scaled AI enterprise adoption. Thank you to Kari NVIDIA AI Developer for taking the time!
10:17

Sat down with Kari Ann Briski, VP of Generative AI Software for Enterprise @ NVIDIA, to discuss NVIDIA’s Nemotron open models, how training data can be used for building agentic systems, and scaled AI enterprise adoption. Thank you to Kari NVIDIA AI Developer for taking the time!

amit

65,120 görüntüleme • 4 ay önce

The agentic enterprise is here. We’re unveiling new innovations across AI agents, real-time data, governance, & interoperability to help enterprises build AI that can reason, automate, and drive action at scale. Check out the highlights 👇
3:17

The agentic enterprise is here. We’re unveiling new innovations across AI agents, real-time data, governance, & interoperability to help enterprises build AI that can reason, automate, and drive action at scale. Check out the highlights 👇

Snowflake

14,003 görüntüleme • 17 gün önce

Embodied intelligence can’t afford bad data. Perle Labs is building AI data infrastructure designed for this reality: → Human-verified, expert-validated work → On-chain auditability → Sovereign and enterprise-grade design Built to benefit everyone.
0:35

Embodied intelligence can’t afford bad data. Perle Labs is building AI data infrastructure designed for this reality: → Human-verified, expert-validated work → On-chain auditability → Sovereign and enterprise-grade design Built to benefit everyone.

Perle Labs

2,685,120 görüntüleme • 5 ay önce

Today, we’re excited to announce the general availability of the Contextual AI Platform. This is the first enterprise platform designed for building specialized RAG agents to support expert knowledge work. What is a specialized RAG agent? First, a general-purpose AI agent is one designed to automate simple daily tasks like scheduling a meeting or responding to an email. On the other hand, a specialized RAG agent is one designed to augment subject-matter experts performing complex domain-specific work. The Contextual AI Platform allows you to create these agents easily and achieve SOTA accuracy right out of the box. Check out what the Contextual AI Platform can do.
2:11

Today, we’re excited to announce the general availability of the Contextual AI Platform. This is the first enterprise platform designed for building specialized RAG agents to support expert knowledge work. What is a specialized RAG agent? First, a general-purpose AI agent is one designed to automate simple daily tasks like scheduling a meeting or responding to an email. On the other hand, a specialized RAG agent is one designed to augment subject-matter experts performing complex domain-specific work. The Contextual AI Platform allows you to create these agents easily and achieve SOTA accuracy right out of the box. Check out what the Contextual AI Platform can do.

Contextual AI

878,866 görüntüleme • 1 yıl önce

Strong Q1 for Snowflake. ❄️ $1.33B product revenue, up 34% YoY. Accelerating from 30% last quarter and 26% a year ago. AI is strengthening Snowflake on multiple levels: → core platform growth accelerating as customers get their data AI-ready → AI products Snowflake Intelligence and CoCo seeing rapid adoption → use of AI products increasing overall platform consumption This is the flywheel of the Agentic Enterprise.
0:22

Strong Q1 for Snowflake. ❄️ $1.33B product revenue, up 34% YoY. Accelerating from 30% last quarter and 26% a year ago. AI is strengthening Snowflake on multiple levels: → core platform growth accelerating as customers get their data AI-ready → AI products Snowflake Intelligence and CoCo seeing rapid adoption → use of AI products increasing overall platform consumption This is the flywheel of the Agentic Enterprise.

sridhar

26,128 görüntüleme • 23 gün önce

The next evolution of the OptimAI Core Node is coming, and it’s bringing one of our most powerful innovations yet: The Data Mining Agent. Become an OptimAI Node: 🔍 What is the Data Mining Agent? A fully autonomous agent running on your Core Node that: + Scans, retrieves, and indexes real-time public web data + Transforms raw information into actionable intelligence + Powers faster, smarter, adaptive Persona AI systems 💡 Why It Matters: Agentic AI is only as strong as the data it can access. Centralized APIs are slow, expensive, and limited. With the Core Node + Data Mining Agent, every contributor turns their desktop into a data supernode, accelerating AI evolution and giving our community a massive edge. ⚡ We’re not just building tools - we’re architecting the global backbone of Agentic AI, powered by you. Stay tuned for teasers, and get ready to upgrade your node. The future is decentralized. The future is agentic. And you are a key part of it. 💪 The more you contribute, the more you earn. Let’s BUIDL the future of AI together.
0:31

The next evolution of the OptimAI Core Node is coming, and it’s bringing one of our most powerful innovations yet: The Data Mining Agent. Become an OptimAI Node: 🔍 What is the Data Mining Agent? A fully autonomous agent running on your Core Node that: + Scans, retrieves, and indexes real-time public web data + Transforms raw information into actionable intelligence + Powers faster, smarter, adaptive Persona AI systems 💡 Why It Matters: Agentic AI is only as strong as the data it can access. Centralized APIs are slow, expensive, and limited. With the Core Node + Data Mining Agent, every contributor turns their desktop into a data supernode, accelerating AI evolution and giving our community a massive edge. ⚡ We’re not just building tools - we’re architecting the global backbone of Agentic AI, powered by you. Stay tuned for teasers, and get ready to upgrade your node. The future is decentralized. The future is agentic. And you are a key part of it. 💪 The more you contribute, the more you earn. Let’s BUIDL the future of AI together.

OptimAI Network

50,387 görüntüleme • 9 ay önce

CARV envisions a new form of evolution for Artificial General Intelligence (AGI): one driven by the aggregation, sharing, and refinement of high-quality on-chain and off-chain data. To do that, CARV is building an AI chain ecosystem to enable data sovereignty at scale: • CARV SVM Chain, an AI agentic infrastructure that extends SVM's capabilities onto Ethereum. • D.A.T.A. Framework, powered by CARV ID, delivers high-quality on-chain and off-chain data, enriched with tags and metrics, enabling AI agents to learn, share, and evolve dynamically. • CARV Labs accelerates ecosystem growth in and beyond CARV’s ecosystem, spearheading innovation in the AI agentic infrastructure enabling data sovereignty with incubation, grants, and infrastructure. You build?
1:08

CARV envisions a new form of evolution for Artificial General Intelligence (AGI): one driven by the aggregation, sharing, and refinement of high-quality on-chain and off-chain data. To do that, CARV is building an AI chain ecosystem to enable data sovereignty at scale: • CARV SVM Chain, an AI agentic infrastructure that extends SVM's capabilities onto Ethereum. • D.A.T.A. Framework, powered by CARV ID, delivers high-quality on-chain and off-chain data, enriched with tags and metrics, enabling AI agents to learn, share, and evolve dynamically. • CARV Labs accelerates ecosystem growth in and beyond CARV’s ecosystem, spearheading innovation in the AI agentic infrastructure enabling data sovereignty with incubation, grants, and infrastructure. You build?

CARV

274,660 görüntüleme • 1 yıl önce

Today, Box announced new AI Agents to work with enterprise content, powering Deep Research, Search, and enhanced Data Extraction. There’s a tremendous amount of value that’s trapped in unstructured data, from contracts to research data, that we can finally unlock with AI.
4:34

Today, Box announced new AI Agents to work with enterprise content, powering Deep Research, Search, and enhanced Data Extraction. There’s a tremendous amount of value that’s trapped in unstructured data, from contracts to research data, that we can finally unlock with AI.

Aaron Levie

60,262 görüntüleme • 1 yıl önce

Today we are launching the next phase of AI reasoning development with Founders Fund, Franklin Templeton, Pantera Capital, Fireworks AI, OpenRouter, OpenHands, Dedalus Labs, alphaXiv, and more. AI is advancing at a relentless pace, but there are many reasoning capabilities we have yet to discover. Announcing Arena—an evaluation-driven platform for ideation, prototyping, and high-quality data generation—with top AI developers advancing SOTA performance on real-world enterprise reasoning tasks.
2:06

Today we are launching the next phase of AI reasoning development with Founders Fund, Franklin Templeton, Pantera Capital, Fireworks AI, OpenRouter, OpenHands, Dedalus Labs, alphaXiv, and more. AI is advancing at a relentless pace, but there are many reasoning capabilities we have yet to discover. Announcing Arena—an evaluation-driven platform for ideation, prototyping, and high-quality data generation—with top AI developers advancing SOTA performance on real-world enterprise reasoning tasks.

Sentient

271,598 görüntüleme • 3 ay önce

We’re extremely excited to announce our partnership and membership in the Fetch.ai Foundation, joining enterprise leaders like BoschGlobal and peaq! Our goal is to elevate the utility of both AI agents and data for real-world applications! Read the full PR for more details on our partnership:
0:22

We’re extremely excited to announce our partnership and membership in the Fetch.ai Foundation, joining enterprise leaders like BoschGlobal and peaq! Our goal is to elevate the utility of both AI agents and data for real-world applications! Read the full PR for more details on our partnership:

Nuklai

274,194 görüntüleme • 1 yıl önce

AI agents are only as powerful as their connections. The more they plug into your apps, data, and systems, the more value they unlock, and the more risk they introduce. ⚠️ Securing that ecosystem is our focus. CEO Todd McKinnon joined Bloomberg Bloomberg Technology to discuss how we’re delivering the blueprint for a secure agentic enterprise and why it’s becoming an essential framework for the AI era: #OktaSecuresAI
0:39

AI agents are only as powerful as their connections. The more they plug into your apps, data, and systems, the more value they unlock, and the more risk they introduce. ⚠️ Securing that ecosystem is our focus. CEO Todd McKinnon joined Bloomberg Bloomberg Technology to discuss how we’re delivering the blueprint for a secure agentic enterprise and why it’s becoming an essential framework for the AI era: #OktaSecuresAI

Okta

39,112 görüntüleme • 15 gün önce

Missed the live session? Watch the replay of Gemini Enterprise: APAC in Focus. Learn what Gemini Enterprise means for businesses, and how our new agentic AI platform will transform work ⤵️
1:01:44

Missed the live session? Watch the replay of Gemini Enterprise: APAC in Focus. Learn what Gemini Enterprise means for businesses, and how our new agentic AI platform will transform work ⤵️

Google Cloud India

10,870,910 görüntüleme • 7 ay önce

Revolutionizing Move Programming with OpenLedger In this demo, we showcase how Move datasets contributed by data providers to OpenLedger’s datanets are used to fine-tune specialized models with LoRA fine-tuning. As seen in the video, we showcase an example on how builders can deploy a Move-specialized model that powers Co-pilot agents using our no-code model fine-tuning platform. This is the future of AI and Web3 innovation. Watch this space to see more specialised models and data feeds being built for next generation agents on top of OpenLedger #Move
3:58

Revolutionizing Move Programming with OpenLedger In this demo, we showcase how Move datasets contributed by data providers to OpenLedger’s datanets are used to fine-tune specialized models with LoRA fine-tuning. As seen in the video, we showcase an example on how builders can deploy a Move-specialized model that powers Co-pilot agents using our no-code model fine-tuning platform. This is the future of AI and Web3 innovation. Watch this space to see more specialised models and data feeds being built for next generation agents on top of OpenLedger #Move

OpenLedger

61,662 görüntüleme • 1 yıl önce

Siloed data is stalling your AI. The Dell AI Data Platform with NVIDIA helps you discover, prepare, and activate enterprise data — so your AI actually delivers. ⚡
0:29

Siloed data is stalling your AI. The Dell AI Data Platform with NVIDIA helps you discover, prepare, and activate enterprise data — so your AI actually delivers. ⚡

Dell Technologies

17,912 görüntüleme • 3 ay önce

Alexandr Wang says "The US government is one of the largest producers of data in the world," but most of it is unavailable to advance American AI. He calls for a "national AI data reserve," making all public data AI-ready, and initiating "agentic government programs"—where AI acts under human supervision to serve citizens.
1:13

Alexandr Wang says "The US government is one of the largest producers of data in the world," but most of it is unavailable to advance American AI. He calls for a "national AI data reserve," making all public data AI-ready, and initiating "agentic government programs"—where AI acts under human supervision to serve citizens.

vitrupo

41,710 görüntüleme • 1 yıl önce

💡Why Vana? “Ultimately, AI models are only as good as their training data. So if you want to build the best AI, you need the best data.” shares the vision behind Vana’s mission, centered on DataDAOs that aggregate specific datasets, reward data owners for their contributions and level up AI models with high-quality data🏆
0:56

💡Why Vana? “Ultimately, AI models are only as good as their training data. So if you want to build the best AI, you need the best data.” shares the vision behind Vana’s mission, centered on DataDAOs that aggregate specific datasets, reward data owners for their contributions and level up AI models with high-quality data🏆

vana

108,354 görüntüleme • 1 yıl önce

Research Focus: AI agents leaking enterprise data, a smarter OS for cloud deployment, and new research on how to actually structure AI use at work.
2:00

Research Focus: AI agents leaking enterprise data, a smarter OS for cloud deployment, and new research on how to actually structure AI use at work.

Microsoft Research

15,204 görüntüleme • 1 ay önce

Today, Box is announcing major new AI agent capabilities to let customers tap into the full value of their unstructured data. First, we’re announcing all new updates to the Box AI Studio to make it even easier to build AI agents that tap into your enterprise content for any job function, business process, or industry specific use case. We are also expanding our set of foundational agents that customers will be able to use to work with their enterprise content, including new features like search and research on unstructured data. Next, we’re announcing Box Extract to enable customers to use AI agents seamlessly for complex data extraction from any type of document or content. This makes it easier than ever to pull out data from contracts, invoices, research data, marketing assets, medical charts, and more. Finally, we’re introducing Box Automate, a new workflow automation solution within Box that lets you deploy AI agents across enterprise content-centric workflows. With Box Automate, you can design your business process in a simple drag and drop builder and then drop in AI agents at any step in the process. This ensures agents execute tasks at the right steps in a workflow every time. Best of all, our AI agents and workflow tools are designed to work across any system our customers work within, whether it’s leveraging pre-built integrations, Box APIs, or the new Box MCP Server. Ultimately, all of these capabilities come together to transform how companies can work with their enterprise content. Software has historically only been good at automating work that deals with structured data, which is why ERP, CRM, and HR systems have been mainstays of enterprise software for so long. The data in these systems fits neatly into a database, and the workflows are very ripe for automation. But it turns out most of the work in the world deals with unstructured data. It’s ideating through research documents, working with a client on contracts, reviewing details for a new product launch, looking at a patient’s healthcare record to make a diagnosis, working through due diligence documents for an M&A deal, and so on. For the first time ever, we can begin to bring all new insights and automation to this work with AI agents. At Box, we’re incredibly excited to be on this journey to help customers transform how they work with their most important data.
1:21

Today, Box is announcing major new AI agent capabilities to let customers tap into the full value of their unstructured data. First, we’re announcing all new updates to the Box AI Studio to make it even easier to build AI agents that tap into your enterprise content for any job function, business process, or industry specific use case. We are also expanding our set of foundational agents that customers will be able to use to work with their enterprise content, including new features like search and research on unstructured data. Next, we’re announcing Box Extract to enable customers to use AI agents seamlessly for complex data extraction from any type of document or content. This makes it easier than ever to pull out data from contracts, invoices, research data, marketing assets, medical charts, and more. Finally, we’re introducing Box Automate, a new workflow automation solution within Box that lets you deploy AI agents across enterprise content-centric workflows. With Box Automate, you can design your business process in a simple drag and drop builder and then drop in AI agents at any step in the process. This ensures agents execute tasks at the right steps in a workflow every time. Best of all, our AI agents and workflow tools are designed to work across any system our customers work within, whether it’s leveraging pre-built integrations, Box APIs, or the new Box MCP Server. Ultimately, all of these capabilities come together to transform how companies can work with their enterprise content. Software has historically only been good at automating work that deals with structured data, which is why ERP, CRM, and HR systems have been mainstays of enterprise software for so long. The data in these systems fits neatly into a database, and the workflows are very ripe for automation. But it turns out most of the work in the world deals with unstructured data. It’s ideating through research documents, working with a client on contracts, reviewing details for a new product launch, looking at a patient’s healthcare record to make a diagnosis, working through due diligence documents for an M&A deal, and so on. For the first time ever, we can begin to bring all new insights and automation to this work with AI agents. At Box, we’re incredibly excited to be on this journey to help customers transform how they work with their most important data.

Aaron Levie

91,860 görüntüleme • 9 ay önce