[
  {
    "slug": "microsoft",
    "name": "Microsoft",
    "url": "https://ai.engineer/orgs/microsoft",
    "summary": null,
    "speakerSlugs": [
      "sharmila-chokalingam",
      "cedric-vidal",
      "yohan-lasorsa",
      "nagkumar-arkalgud",
      "keiji-kanazawa",
      "marlene-mhangami",
      "david-smith",
      "miguel-martinez",
      "michael-albada",
      "liam-hampton",
      "julia-kasper",
      "den-delimarsky",
      "hanchi-wang",
      "ornella-bahidika",
      "emma-ning",
      "chris-noring",
      "harald-kirschner",
      "lachlan-ainley",
      "amy-boyd",
      "nitya-narasimhan",
      "pablo-castro",
      "daniel-rosenwasser",
      "pamela-fox",
      "gabriela-de-queiroz",
      "aishwarya-srinivasan",
      "tisha-chawla",
      "susheem-koul"
    ],
    "talkSlugs": [
      "accelerate-your-ai-journey-with-azure-ai-model-catalog",
      "agentic-excellence-mastering-evaluation-of-ai-agents-with-azure-ai-evaluation-sdk",
      "ai-didn-t-kill-the-web-it-moved-in-olivier-leplus-aws-yohan-lasorsa-microsoft",
      "ai-red-teaming-agent-azure-ai-foundry-nagkumar-arkalgud-keiji-kanazawa-microsoft",
      "beyond-code-coverage-functionality-testing-with-playwright",
      "build-evaluate-and-deploy-a-rag-based-retail-copilot-with-azure-ai",
      "building-applications-with-ai-agents",
      "building-code-first-ai-agents-with-azure-ai-agent-service-cedric-vidal-microsoft",
      "building-interactive-uis-in-vs-code-with-mcp-apps-marlene-mhangami-liam-hampton-github",
      "building-protected-mcp-servers",
      "cooking-with-agents-in-vs-code",
      "creating-and-scaling-your-own-custom-copilots-with-azure-ai-studio",
      "don-t-let-the-llm-drive-ornella-bahidika-joel-allou-microsoft",
      "foundry-local-cutting-edge-ai-experiences-on-device-with-onnx-runtime-and-olive-emma-ning-micros",
      "from-writing-code-to-designing-systems-how-the-developer-role-is-changing-chris-noring-microsoft",
      "full-spec-mcp-hidden-capabilities-of-the-mcp-spec-harald-kirschner-microsoft-vs-code",
      "insights-from-snorkel-ai-running-azure-ai-infrastructure",
      "mind-the-gap-in-your-agent-observability",
      "multi-model-multimodal-and-multi-agent-innovations-in-azure-ai",
      "on-ai-and-knowledge",
      "pragmatic-ai-with-typechat",
      "rag-at-scale-production-ready-genai-apps-with-azure-ai-search",
      "real-world-development-with-github-copilot-and-vs-code-harald-kirschner-christopher-harrison",
      "running-ai-application-in-minutes-quick-start-with-ai-templates",
      "running-ai-application-in-minutes-quick-start-with-ai-templates-ee4087",
      "vibe-coding-at-scale-customizing-ai-assistants-for-enterprise-environments",
      "vibe-coding-at-scale-customizing-ai-assistants-for-enterprise-environments-harald-kirschner",
      "your-agent-failed-in-prod-good-luck-reproducing-it",
      "your-voice-agent-doesn-t-need-a-frontier-model",
      "youtube-48495817ad8e7fcd7ad5"
    ]
  },
  {
    "slug": "google-deepmind",
    "name": "Google DeepMind",
    "url": "https://ai.engineer/orgs/google-deepmind",
    "summary": null,
    "speakerSlugs": [
      "logan-kilpatrick",
      "nicholas-kang",
      "michael-aaron",
      "philipp-schmid",
      "patrick-lober",
      "paige-bailey",
      "guillaume-vernade",
      "ian-ballantyne",
      "thor-schaeff",
      "sander-dieleman",
      "kat-kampf",
      "ammaar-reshi",
      "kevin-hou",
      "paige",
      "florina-muntenescu",
      "oli-gaymond",
      "cassidy-hardin",
      "omar-sanseviero",
      "mukund-sridhar",
      "aarush-selvan",
      "raia-hadsell",
      "kp-sawhney",
      "shrestha-basu-mallick",
      "benoit-schillings",
      "gus-martins",
      "brendan-o-donoghue",
      "jack-rae",
      "kathleen-kenealy",
      "dumitru-erhan",
      "shane-gu",
      "nicole-brichtova"
    ],
    "talkSlugs": [
      "a-year-of-gemini-progress-what-comes-next",
      "agentic-evaluations-at-scale-for-everybody",
      "ai-engineering-with-the-google-gemini-2-5-model-family",
      "any-to-any-building-native-multimodal-agents",
      "build-deploy-ai-powered-apps",
      "build-deploy-ai-powered-apps-18cc1b",
      "building-conversational-agents",
      "building-generative-image-video-models-at-scale",
      "building-in-the-gemini-era-kat-kampf-ammaar-reshi-google-deepmind",
      "defying-gravity",
      "don-t-ship-skills-without-evals",
      "from-transcription-to-live-music-gemini-s-audio-stack-thor-schaeff-google-deepmind",
      "frontier-feud",
      "gemini-nano-on-device-florina-muntenescu-oli-gaymond-google-deepmind",
      "gemma-4-deep-dive-cassidy-hardin-google-deepmind",
      "gemma-deepmind-s-family-of-open-models",
      "how-deep-research-works",
      "how-google-deepmind-is-researching-the-next-frontier-of-ai-for-gemini-raia-hadsell-vp-of-researc",
      "how-google-deepmind-runs-agents-at-scale-kp-sawhney-ian-ballantyne-google-deepmind",
      "let-s-go-bananas-with-genmedia",
      "milliseconds-to-magic-real-time-workflows-using-the-gemini-live-api-and-pipecat",
      "research-to-reality-with-google-deepmind",
      "sovereign-escape-velocity-ownership-with-open-models-gus-martins-and-ian-ballantyne-google-deepm",
      "text-diffusion-brendan-o-donoghue-google-deepmind",
      "thinking-deeper-in-gemini",
      "unveiling-the-latest-gemma-model-advancements",
      "veo-3-for-developers",
      "why-senior-engineers-struggle-to-build-ai-agents",
      "youtube-b01c3c14dd8f8e90af4c"
    ]
  },
  {
    "slug": "anthropic",
    "name": "Anthropic",
    "url": "https://ai.engineer/orgs/anthropic",
    "summary": null,
    "speakerSlugs": [
      "barry-zhang",
      "mahesh-murag",
      "alexander-bricken",
      "joe-bayley",
      "gagan-bhat",
      "isabella-kai-he",
      "jamie-neuwirth",
      "zack-witten",
      "thariq-shihipar",
      "boris-cherny",
      "cat-wu",
      "lance-martin",
      "katelyn-lesse",
      "kevin-bai",
      "mihir",
      "john",
      "david-soria-parra",
      "karan-sampath",
      "ash-prabaker",
      "andrew-wilson",
      "theodora-chu",
      "john-welsh",
      "eugene-yan",
      "alex-albert",
      "christopher-lovejoy",
      "karina-nguyen",
      "sachin-malhotra",
      "mike-krieger"
    ],
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      "agent-skills",
      "anthropic-for-vps-of-ai",
      "anthropic-s-applied-ai-team-on-the-evolution-of-agentic-surfaces",
      "building-agents-with-mcp",
      "building-with-anthropic-s-claude-the-prompt-doctor-is-in",
      "claude-agent-sdk-workshop",
      "claude-code-the-evolution-of-agentic-coding",
      "claude-fable-claude-tag-and-anthropic-s-culture-cat-wu-thariq-shihipar-ft-simon-willison",
      "claude-for-long-horizon-tasks",
      "effective-ai-agents",
      "evolving-claude-apis-for-agents",
      "field-guide-to-fable",
      "forward-deployed-engineering-101",
      "frontier-feud",
      "future-of-mcp",
      "gateways-are-all-you-need",
      "how-to-build-agents-that-run-for-hours-without-losing-the-plot",
      "mcp-origins-and-requests-for-startups-theodora-chu-model-context-protocol-pm-anthropic",
      "remote-mcps-what-we-learned-from-shipping-john-welsh-anthropic",
      "using-llms-to-secure-source-code",
      "what-s-new-from-anthropic-and-what-s-next",
      "why-your-enterprise-tech-stack-isn-t-ready-for-ai-agents-and-what-to-build-instead",
      "writing-principles-for-task-tuned-prompt-engineering",
      "youtube-32474d2e87f6aba2c4ad",
      "youtube-6a8df9148b55ab1a57f3"
    ]
  },
  {
    "slug": "openai",
    "name": "OpenAI",
    "url": "https://ai.engineer/orgs/openai",
    "summary": null,
    "speakerSlugs": [
      "will-hang",
      "cathy-zhou",
      "anoop-kotha",
      "toki-sherbakov",
      "dominik-kundel",
      "vaibhav-srivastav",
      "katia-gil-guzman",
      "karina-nguyen",
      "greg-brockman",
      "abhishek-bhardwaj",
      "romain-huet",
      "jason-liu",
      "ilan-bigio",
      "bill-chen",
      "brian-fioca",
      "ryan-lopopolo",
      "prashant-mital",
      "fouad-matin",
      "logan-kilpatrick",
      "simon-fishman",
      "sean-grove",
      "peter-steinberger",
      "alexander-embiricos",
      "vinoth-govindarajan",
      "sean-dubois"
    ],
    "talkSlugs": [
      "agent-reinforcement-fine-tuning",
      "building-effective-voice-agents",
      "building-voice-agents-with-openai",
      "codex-and-subagents",
      "codex-behind-the-harness",
      "creating-agents-that-co-create",
      "define-ai-engineer",
      "from-fork-to-fleet-designing-an-agent-sandbox-cloud-abhishek-bhardwaj-openai",
      "from-text-to-vision-to-voice-exploring-multimodality-with-openai",
      "full-workshop-setting-yourself-up-for-success-jason-liu-openai-codex",
      "function-calling-is-all-you-need",
      "future-proof-coding-agents",
      "harness-engineering",
      "model-maxxing-rft-dpo-sft-fine-tuning-with-openai-ilan-bigio-openai",
      "openai-for-vps-of-ai",
      "safety-and-security-for-code-executing-agents",
      "see-hear-speak-draw",
      "specifications-are-the-new-code",
      "state-of-the-claw",
      "the-golden-age-of-ai-engineering",
      "your-agent-didn-t-fail-your-harness-did",
      "your-realtime-ai-is-ngmi-sean-dubois-openai-kwindla-hultman-kramer-daily"
    ]
  },
  {
    "slug": "aws",
    "name": "Amazon Web Services (AWS)",
    "url": "https://ai.engineer/orgs/aws",
    "summary": null,
    "speakerSlugs": [
      "justin-muller",
      "olivier-leplus",
      "antje-barth",
      "du-an-lightfoot",
      "banjo-obayomi",
      "derek-bingham",
      "mani-khanuja",
      "chintan-agrawal",
      "daniel-wirjo",
      "mike-chambers",
      "suman-debnath",
      "rohit-talluri",
      "elizabeth-fuentes-leone",
      "vikash-agrawal",
      "linda",
      "varun-pant",
      "sandhya-subramani",
      "clare-liguori"
    ],
    "talkSlugs": [
      "7-habits-of-highly-effective-generative-ai-evaluations",
      "ai-didn-t-kill-the-web-it-moved-in-olivier-leplus-aws-yohan-lasorsa-microsoft",
      "building-agents-at-cloud-scale-antje-barth-aws",
      "building-agents-with-amazon-nova-act-and-mcp-du-an-lightfoot-and-banjo-obayomi",
      "claude-plays-minecraft-introducing-a-real-world-serverless-ai-to-a-virtual-world",
      "data-is-your-differentiator-building-secure-and-tailored-ai-systems",
      "designing-voice-agents-for-real-conversations",
      "from-software-developer-to-ai-engineer",
      "introducing-strands-agents-an-open-source-ai-agents-sdk",
      "serving-voice-ai-at-scale-arjun-desai-cartesia-rohit-talluri-aws",
      "ship-it-building-production-ready-agents",
      "stop-ai-agent-hallucinations-5-techniques-production-patterns-elizabeth-fuentes-leone-aws",
      "supercharging-developer-workflow-with-amazon-q-developer",
      "using-spec-driven-development-for-production-workflows",
      "voicevision-rag-integrating-visual-document-intelligence-with-voice-response",
      "your-agent-is-wasting-tokens-and-you-don-t-know-it",
      "youtube-a4fdf8b98776965fc286",
      "youtube-bfcd4e02445b077a68f3",
      "youtube-ca313d4e0a12a2daf850"
    ]
  },
  {
    "slug": "neo4j",
    "name": "Neo4j",
    "url": "https://ai.engineer/orgs/neo4j",
    "summary": null,
    "speakerSlugs": [
      "stephen-chin",
      "zach-blumenfeld",
      "ben-squire",
      "ryan-knight",
      "andreas-kollegger",
      "zaid-zaim",
      "emil-eifrem",
      "alex-gilmore",
      "michael-hunger",
      "jesus-barrasa",
      "philip-rathle"
    ],
    "talkSlugs": [
      "agentic-graphrag-ai-s-logical-edge",
      "agentic-graphrag-simplifying-retrieval-across-structured-unstructured-data-zach-blumenfeld",
      "ai-on-your-lakehouse-context-comes-in-shapes-not-queries",
      "anchoring-enterprise-genai-with-knowledge-graphs",
      "connecting-the-dots-with-context-graphs",
      "context-engineering-connecting-the-dots-with-graphs-stephen-chin-neo4j",
      "context-graphs-for-explainable-decision-aware-ai-agents",
      "crabrag-why-automated-assistants-need-graph-memory-not-more-tokens",
      "graph-intelligence-enhance-reasoning-and-retrieval-using-graph-analytics",
      "graphrag",
      "intro-to-graphrag",
      "memory-masterclass-make-your-ai-agents-remember-what-they-do-mark-bain-aius",
      "practical-graphrag-making-llms-smarter-with-knowledge-graphs",
      "thinner-agents-on-a-smarter-substrate-the-ontology-based-semantic-layer",
      "understanding-ai-stakes-to-break-production-code",
      "why-your-agent-s-brain-needs-a-playbook-practical-wins-from-using-ontologies",
      "why-your-agents-need-decision-traces-not-just-documents-zach-blumenfeld-neo4j"
    ]
  },
  {
    "slug": "github",
    "name": "GitHub",
    "url": "https://ai.engineer/orgs/github",
    "summary": null,
    "speakerSlugs": [
      "jon-peck",
      "christopher-harrison",
      "thomas-dohmke",
      "dave-burnison",
      "alex-malebranche",
      "dimitrios-philliou",
      "christina-warren",
      "harald",
      "rahul-pandita",
      "sarah-khalife",
      "maggie-appleton",
      "idan-gazit",
      "sam-morrow",
      "john-peck",
      "mario-rodriguez"
    ],
    "talkSlugs": [
      "collaborating-with-agents-in-your-software-development-workflow-jon-peck-christopher-harrison-gi",
      "copilots-everywhere",
      "github-copilot-the-world-s-most-widely-adopted-ai-developer-tool",
      "github-copilot-the-world-s-most-widely-adopted-ai-developer-tool-repeat",
      "github-next-explorations",
      "github-s-ai-powered-security-platform",
      "one-developer-two-dozen-agents-zero-alignment-why-we-need-collaborative-ai-engineering",
      "piloting-agents-in-github-copilot",
      "real-world-development-with-github-copilot-and-vs-code-harald-kirschner-christopher-harrison",
      "real-world-mcps-in-github-copilot-agent-mode",
      "realtime-multiplayer-automation-and-you",
      "scaling-github-for-your-agents-sam-morrow-github",
      "the-agent-awakens-collaborative-development-with-copilot",
      "the-ai-evolution",
      "unlocking-ai-powered-devops-within-your-organization"
    ]
  },
  {
    "slug": "arize",
    "name": "Arize",
    "url": "https://ai.engineer/orgs/arize",
    "summary": null,
    "speakerSlugs": [
      "aparna-dhinakaran",
      "sally-ann-delucia",
      "fuad-ali",
      "dat-ngo",
      "aman-khan",
      "jason-lopatecki",
      "rachel-lee-nabors-rl-nabors",
      "laurie-voss"
    ],
    "talkSlugs": [
      "break-it-til-you-make-it-building-the-self-improving-stack-for-ai-agents",
      "build-a-prompt-learning-loop",
      "engineering-better-evals-scalable-llm-evaluation-pipelines-that-work",
      "ensure-ai-agents-work-evaluation-frameworks-for-scaling-success",
      "from-signal-to-pr-anatomy-of-a-self-improving-agent",
      "frontier-results-on-device-rl-nabors-arize",
      "how-we-solved-context-management-in-agents-sally-ann-delucia",
      "llm-evals-that-work-irl",
      "llm-observability-evaluation-experimentation-platform-dat-ngo-arize-ai",
      "ship-real-agents-hands-on-evals-for-agentic-applications",
      "shipping-ai-that-works-an-evaluation-framework-for-pms",
      "the-future-of-evals-from-llm-as-a-judge-to-agent-as-a-judge-aparna-dhinakaran-arize-ai",
      "the-unreasonable-effectiveness-of-prompt-learning",
      "your-agent-is-an-infinite-canvas"
    ]
  },
  {
    "slug": "nvidia",
    "name": "NVIDIA",
    "url": "https://ai.engineer/orgs/nvidia",
    "summary": null,
    "speakerSlugs": [
      "chris-alexiuk",
      "asma-beevi",
      "jensen-huang",
      "sylendran-arunagiri",
      "kyle-kranen",
      "mitesh-patel",
      "carter-abdallah",
      "mark-moyou",
      "mozhgan-kabiri-chimeh",
      "nader-khalil",
      "travis-bartley",
      "myungjong-kim",
      "byungjoong",
      "jaehan",
      "carter",
      "annika-brundyn",
      "aastha-jhunjhunwala",
      "ziv-ilan",
      "lovina-dmello"
    ],
    "talkSlugs": [
      "compression-at-the-edge",
      "define-ai-engineer",
      "effective-ai-agents-need-data-flywheels-not-the-next-biggest-llm-sylendran-arunagiri-nvidia",
      "hacking-the-inference-pareto-frontier",
      "hybridrag-a-fusion-of-graph-and-vector-retrieval-to-enhance-data-interpretation",
      "local-models-trust-control-optimization",
      "mastering-llm-inference-optimization-from-theory-to-cost-effective-deployment",
      "running-llms-locally-practical-llm-performance-on-dgx-spark-mozhgan-kabiri-chimeh-nvidia",
      "state-of-the-union-why-local-why-now",
      "the-end-of-awkward-ai-transcriptions",
      "the-state-of-model-routing-nvidia-cognition-openrouter",
      "what-is-a-humanoid-foundation-model-an-introduction-to-gr00t-n1",
      "you-might-not-need-50-diffusion-steps",
      "your-llm-stack-is-a-2008-database-with-better-marketing"
    ]
  },
  {
    "slug": "braintrust",
    "name": "Braintrust",
    "url": "https://ai.engineer/orgs/braintrust",
    "summary": null,
    "speakerSlugs": [
      "phil-hetzel",
      "doug-guthrie",
      "carlos-esteban",
      "doug",
      "ankur-goyal",
      "giran-moodley",
      "manu-goyal",
      "ameya-bhatawdekar"
    ],
    "talkSlugs": [
      "does-genai-belong-to-data-scientists",
      "evals-101-doug-guthrie-braintrust",
      "evals-workshop-mastering-ai-evaluation-from-playground-to-production",
      "five-hard-earned-lessons-about-evals",
      "how-agent-o11y-differs-from-traditional-o11y",
      "how-to-build-world-class-ai-products-sarah-sachs-notion-and-carlos-esteban-braintrust",
      "how-zapier-builds-ai-products-and-features-with-the-help-of-braintrust",
      "shipping-complex-ai-applications-braintrust-trainline",
      "the-future-of-evals-ankur-goyal-braintrust",
      "the-maturity-phases-of-running-evals",
      "why-building-eval-platforms-is-hard",
      "why-should-anyone-care-about-evals",
      "your-agent-evolved-your-evals-didn-t"
    ]
  },
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    "slug": "google",
    "name": "Google",
    "url": "https://ai.engineer/orgs/google",
    "summary": null,
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      "chintan-parikh",
      "weiyi-wang",
      "michael-hablich",
      "cormac-brick",
      "petra",
      "rukma-sen",
      "tara-agyemang",
      "stefania-druga"
    ],
    "talkSlugs": [
      "accelerating-ai-on-edge-chintan-parikh-and-weiyi-wang-google-deepmind",
      "building-agent-interfaces-lessons-from-chrome-devtools-mcp-for-agents",
      "from-46-to-90-fine-tuning-tiny-llms-for-on-device-agents-cormac-brick-google",
      "frontier-feud",
      "level-up-your-automation-game-agentic-workflows-on-vertex-ai",
      "the-agent-ready-web-simplify-user-actions-with-webmcp",
      "the-multimodal-future-of-education",
      "tlms-tiny-llms-and-agents-on-edge-devices-with-litert-lm",
      "tools-for-the-next-generation-of-ai-engineers",
      "why-large-tiny-lms-agents-on-edge-robotics"
    ]
  },
  {
    "slug": "cognition",
    "name": "Cognition",
    "url": "https://ai.engineer/orgs/cognition",
    "summary": null,
    "speakerSlugs": [
      "kevin-hou",
      "scott-wu",
      "jia-wu",
      "eashan-sinha",
      "sam-fertig",
      "walden"
    ],
    "talkSlugs": [
      "agents-are-built-at-the-fringe-getting-from-90-to-100",
      "devin-2-0-and-the-future-of-swe",
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