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@MadrigalPharma
’s multi-agent research and intelligence platform for pharma is powered by LangChain + LangSmith. When users ask research questions, the orchestrator breaks them into sub-tasks. Multiple agents working in conjunction towards an overarching goal, with an
ENTERPRISE AI
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Madrigal Pharma Multi-Agent Platform Powered by LangChain
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Parallelism and Agentic Skills Accelerate Prototype to Production
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Going from prototype to production took weeks instead of months. Madrigal’s team is finding parallelism increases accuracy and scope while decreasing latency. With agentic skills, domain experts can work directly inside the feedback loops and address shortcomings. See
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Stripe Payment Data Now Available on Databricks Marketplace
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Big news: @stripe payments data is now available on Databricks Marketplace.
— Databricks (@databricks) 29 avril 2026
Activate the Stripe Data Pipeline in minutes, then query live payment data in Databricks to power models, agents and Genie workspaces
• Deploy an agent that monitors transactions continuously
•… pic.twitter.com/vkhYhXGjcvBig news: @stripe payments data is now available on Databricks Marketplace. Activate the Stripe Data Pipeline in minutes, then query live payment data in Databricks to power models, agents and Genie workspaces
• Deploy an agent that monitors transactions continuously
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Harvard Survey: AI Adoption High but Value Lags Without Workflow Integration
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New Survey from Harvard Business Review Analytic Services Finds AI Adoption Remains High, Yet Value May Lag Without Modernization and Workflow Integration https://
appian.com/about/explore/
press-releases/2026/new-survey-from-harvard-business-review-analytic-services-finds-ai-adoption-remains-high
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SAP API policy AI clause raises partner lock-in concerns
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AI clause in new SAP API policy has partners worried over lock-in https://
go.theregister.com/feed/www.there
gister.com/2026/04/29/new_sap_api_policy_provokes/?utm_source=dlvr.it&utm_medium=twitter
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Cursor SDK transforms agent runtime into programmable infrastructure
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Cursor is making a platform play. Right now they're an IDE. By releasing the SDK, they're turning their agent runtime into programmable infrastructure that runs headlessly in CI/CD pipelines, internal tools, and even third-party products. Every agent spun up through the SDK burns… https://t.co/mzuAjJJSCi
— Chubby♨️ (@kimmonismus) 29 avril 2026Cursor is making a platform play. Right now they're an IDE. By releasing the SDK, they're turning their agent runtime into programmable infrastructure that runs headlessly in CI/CD pipelines, internal tools, and even third-party products. Every agent spun up through the SDK burns
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Running 10k vCPUs in Parallel: Enterprise vs Consumer Hardware
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We are running up to 10k vCPUs in parallel, gl with a mac studio
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Culture Is the Hardest Challenge in Enterprise AI Adoption
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Culture, culture, culture, culture. Getting employees trained, on board, and using them is going to be the hardest challenge. It's just like digital transformation of old: same thing, new technology.
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AI in HR: Context Problem Over Tooling Problem
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My takeaway: AI in HR is a context problem disguised as a tooling problem. You must teach the system how your organization thinks. Where is AI breaking down in your HR workflow? Comment “HR” & I’ll share how to use AI in HR effectively. #CorbeyPartner