How to rigorously govern increasingly autonomous model-driven work powering AI-assisted workflows across life sciences R&D? A new whitepaper reveals this and five big trends changing regulated data science. Learn to thrive under new levels of scrutiny: https://
domino.buzz/4anTZaH
@dominodatalab
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Governing Autonomous AI-Driven Workflows in Regulated Life Sciences
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Agentic AI Beyond Workflow Automation: True Autonomy
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Is "agentic AI" just workflow automation with better prompts? True autonomy comes from agent that adapt, negotiate, and choose paths without scripts, says @DominoDataLab
's Jarrod Vawdrey in APM Digest's 2026 AI predctions roundup. Read more: https://
domino.buzz/3M5uZf3 -
FDA RWE Submissions Accelerate Pharma Drug Development Process
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The pandemic proved drug development can move faster. Now 82% of FDA submissions include RWE, but data harmonization and traceability remain key hurdles. Pharma can overcome this by "starting with the end in mind." Read how in @MedCityNews
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Closing GenAI Gap: From Pilots to Enterprise Operations
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The GenAI problem most enterprises face is a gap between experimentation and enterprise operations. Without reproducibility, lineage, cost controls, and shared ownership, pilots stall and risk spikes. Learn to close that gap: https://
domino.buzz/49Qze5Y -
Enterprise AI Success Requires Governance Not Just Distribution
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One of the quiet myths finally dying at Davos: “Give everyone AI and innovation will naturally scale.” Enterprise AI only thrives with the right ownership, governance, and proof. Read about the pivot we’re seeing across regulated enterprises: https://
domino.buzz/4qUbZ2B -
AI Leaders Panel on Transparency and Accountability in Advanced Analytics
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Final Call! Join a hand-picked panel of AI and Risk leaders for a deep dive into transparency, accountability, and value delivery in advanced analytics. Today at 10 AM PT | 1 PM ET Last chance to register: https://
domino.buzz/4t6tyO2 -
Forward Deployed Engineers: The Most Valuable AI Role in 2026
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In 2026, the most valuable AI role will be Forward Deployed Engineers. Those who can connect AI to ERP systems, databases, and brittle integrations will actually make AI work in the enterprise. FinancialIT highlights predictions to show why:
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GenAI at Scale: Governance and Discipline in Regulated Industries
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In regulated industries, GenAI doesn’t scale through hacks, it scales through discipline. From standardized pipelines and gated approvals to FinOps dashboards and audit-ready lineage, learn how real enterprises run GenAI systems. Free ebook: https://
domino.buzz/3NA6maX -
FSI AI Experts Panel: Model Inventory Management and Transparency
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Managing a massive model inventory? Learn from a panel of FSI AI experts from @Visa
, @Fidelity
, @ArvestBank @MassMutual
, and @DominoDataLab who have been there. Save your seat and gain practical steps for transparency and accountability in AI: https://
domino.buzz/49SM0kM -
CEOs Overestimate AI Productivity Gains Against Employee Reality
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CEOs say AI saves hours/week, employees say it barely does at all. New data in @WSJ shows a 38-point gap between exec expectations and the frontline reality. AI value appears by changing how human work is done to cure disease, secure nations and more.