Oh interesting, i kinda want to play around. And yeah that’s a good point. An easier but less exciting solution could start just by pulling in public actions (eg their activity on CRMs, task management, etc tools) as the knowledge base for each employee
DATA
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Document Extraction Agents and GenAI’s Impact on Processing
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Ben Kus, CTO of @Box is live talking about document extraction agents and how GenAI changed document processing! – Prototype worked incredibly well, then started facing challenges. Tasks and expectations became more and more complex, hit the "trough of disillusionment"
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Maintaining AI Workloads: Common Enterprise Implementation Mistakes
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Have you thought about how you’ll maintain your AI workloads over time?
— DataRobot (@DataRobot) 14 mai 2025
Don’t miss this common mistake businesses make when implementing AI and how DataRobot can help from SVP of Product Prajakta Damle 👇#AI #enterpriseAI #agenticAI #GartnerDA pic.twitter.com/ARKF7w9Y2sHave you thought about how you’ll maintain your AI workloads over time? Don’t miss this common mistake businesses make when implementing AI and how DataRobot can help from SVP of Product Prajakta Damle #AI #enterpriseAI #agenticAI #GartnerDA
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Andrew Ng on Evals: Start Simple, Augment Human Judgment
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Incredible fireside chat at Interrupt right now with the legendary @AndrewYNg ! – "I think of evals as something I throw together in 5 minutes", not a big task to start. Augment human judgement, improve over time
– People telling others to avoid learning coding will go -
Andrew Ng on Evals: Quick Implementation and Human Judgment Augmentation
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Incredible fireside chat at Interrupt right now with the legendary @AndrewYNg ! – "I think of evals as something I throw together in 5 minutes", not a big task to start. Augment human judgement, improve over time
– People telling others to avoid learning coding will go -
Meta Releases New AI Dataset for Scientific Research Acceleration
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Meta releases new data set, #AI model aimed at speeding up scientific research
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Building Robust Data Processing Agents with DocETL Framework
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Want to build robust data processing agents ? @sh_reya presents some of the latest ideas from her lab @UCBerkeley! – Many failure modes around data understanding, evals must be task specific
– Intent gap between that the user asks and what they want. DocETL uses human -
Building Robust Data Processing Agents with DocETL Framework
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Want to build robust data processing agents ? @sh_reya presents some of the latest ideas from her lab @UCBerkeley
! – Many failure modes around data understanding, evals must be task specific
– Intent gap between that the user asks and what they want. DocETL uses human -
DataHacks Summit 2025: 1200+ Attendees, 70+ Talks, GenAI Events
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Highlights: 🔹 1200+ attendees 🔹 70+ talks 🔹 30+ hack sessions 🔹 10+ workshops 🔹 GenAI booths & AV Luminary Awards Book your tickets now 👇 analyticsvidhya.com/datahack… #DHS2025 #AI #GenAI #DataScience #ML
→ View original post on X — @jainkunal, 2025-05-14 17:01 UTC
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DataHack Summit 2025: AI Trinity Conference August 20-23
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🚨 DataHack Summit is back!
— Kunal Jain (@jainkunal) 14 mai 2025
📅 Aug 20–23, 2025
Theme: The AI Trinity: Generative| Agentic| Responsible
Glimpse of what to expect! 👇 pic.twitter.com/gvIVT6yDhW🚨 DataHack Summit is back! 📅 Aug 20–23, 2025 Theme: The AI Trinity: Generative| Agentic| Responsible Glimpse of what to expect! 👇
→ View original post on X — @jainkunal, 2025-05-14 17:00 UTC