According to ESOMAR, AI for research must be explainable and fit for purpose — stakeholders should clearly understand the AI’s role, capabilities, and how it delivers results. With Fuel Cycle Autonomous Insights, every client receives a plain-language explanation of our workflows, from business question to final insight. Our proprietary AI agents are purpose-built for research — not repurposed from generic AI tools — and we fully document data flows and algorithmic processes so nothing is a black box. Full Checklist: https://lnkd.in/d6MQ83Yj #AI #MarketResearch #Insights #ESOMAR #FuelCycle
ESOMAR: AI for research must be explainable and fit for purpose
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My friend and co-founder Nancy Wang spent some time lately reading Pascal BORNET latest book on Agentic Artificial Intelligence. An excellent read to contextualize GenAI agents in a company, then frame, and execute on the opportunities they offer. However, at 572 pages, that's quite a read 😅 So she summarized some of her main takeaways in to a blog post, that she hopes could help you too️! ⬇️
How do you create truly useful AI? To find answers, Nancy Wang dove into Pascal BORNET's five-level framework for matching agentic capabilities with real-world problems. From simple task automation to fully autonomous decision-making, understanding these levels of agentic delivery is crucial for any organization looking to implement AI effectively. The key? It's not about flashy tech — it's about matching the right type of AI to your specific business needs. Whether you're just starting your AI journey or scaling existing solutions, our analysis breaks down each level with practical examples and implementation strategies that move beyond hype to deliver results. See the piece here: https://lnkd.in/eKZxxnsq #AI #Automation #DigitalTransformation #BusinessStrategy #ArtificialIntelligence
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How do you create truly useful AI? To find answers, Nancy Wang dove into Pascal BORNET's five-level framework for matching agentic capabilities with real-world problems. From simple task automation to fully autonomous decision-making, understanding these levels of agentic delivery is crucial for any organization looking to implement AI effectively. The key? It's not about flashy tech — it's about matching the right type of AI to your specific business needs. Whether you're just starting your AI journey or scaling existing solutions, our analysis breaks down each level with practical examples and implementation strategies that move beyond hype to deliver results. See the piece here: https://lnkd.in/eKZxxnsq #AI #Automation #DigitalTransformation #BusinessStrategy #ArtificialIntelligence
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When you're tackling big challenges, one single AI system might not be capable enough. That's why ICF Fathom builds multi-agent AI systems that work cooperatively to approach a problem from different angles and deliver a transparent solution, built for real-world complexity. https://forwrd.it/r/6ez1
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IntelePeer & Waterfield Tech Partner to Deliver Agentic AI Frank Fawzi, CEO of IntelePeer, added, “Waterfield Tech has spent decades optimizing complex contact centers. Pairing that expertise with our AI platform, which already processes over 1 billion automated interactions a year, lets enterprises adopt powerful automation at their own pace while maximizing existing investments.” Read More: https://lnkd.in/deMWthdJ #AgenticAIplatform #AI #AITech365 #ConversationalAI #customerexperience #IntelePeer #news #WaterfieldTech
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