AI-generated answers still struggle with accuracy and trust, especially in critical fields like healthcare. Retrieval-Augmented Generation (RAG) techniques help by grounding AI outputs in real-world data, improving reliability. But these systems often act like black boxes, making it hard to understand how they produce their results. Our new framework, KG-SMILE, brings clarity to RAG by pinpointing which parts of a knowledge graph influence AI-generated responses. This transparency helps balance accuracy with explainability, a vital step for sensitive applications. I believe trustworthy AI requires not only strong performance but also clear explanations that people can follow and trust. How important is transparency to you when using AI in decision-making?
KG-SMILE framework improves AI transparency in healthcare
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MSc Artificial Intelligence Student | BSc Chemistry | PGDCA | Exploring Artificial Intelligence | Open to Freelance & Internship Roles
Doctor vs Data AI in healthcare isn’t “coming.” It’s already here. It knows patterns across millions of cases. It spots what even the sharpest eyes might miss. But here’s the catch: When AI says one thing and your doctor says another, WHO DO YOU TRUST? A doctor brings experience, intuition, and empathy. AI brings scale, speed, and global insight. One speaks from intuition. The other from information. And that’s the dilemma patients are about to face. In the end, trust might not lie in choosing one over the other, it might lie in how they work together.
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Senior Digital Marketing Manager at NTT DATA Europe & LATAM Digital ABM | Social Media | Executive Ambassadors
GenAI acceleration requires more than sophisticated models — it demands a solid, scalable, integrated data and AI strategy right from the start. Five essential recommendations for transforming AI into a competitive advantage are highlighted in the new NTT DATA article: governance as a design principle, integrated technological bases, operationalization from the outset, multidisciplinary training, and prioritizing use cases which consider impact and risk. Learn more at https://bit.ly/463KMB5 #NTTDATA #GenAI
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Partner, Head of Global Delivery Network Evolve at NTT DATA Brazil | ADVISORY BOARD CERTIFIED MEMBER - AdCM® | Certified Advisory Counselor - ConCertif® | Life Long Learner
GenAI acceleration requires more than sophisticated models — it demands a solid, scalable, integrated data and AI strategy right from the start. Five essential recommendations for transforming AI into a competitive advantage are highlighted in the new NTT DATA article: governance as a design principle, integrated technological bases, operationalization from the outset, multidisciplinary training, and prioritizing use cases which consider impact and risk. Learn more at https://bit.ly/463KMB5 #NTTDATA #GenAI
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Curious about how #AI can help your #utility work more efficiently? https://ow.ly/O4cn30sP0yv Technology advances with large language models — aka #LLMs — offer new ways to streamline, augment, and innovate without large upfront investments. Learn more in BC’s AI Adoption Guide for Water and Wastewater Utilities. 📥 Download the guide and start modernizing your operations the smarter way today: https://ow.ly/VNGh30sOLt9
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Curious about how #AI can help your #utility work more efficiently? https://ow.ly/KfgW30sOVKA Technology advances with large language models — aka #LLMs — offer new ways to streamline, augment, and innovate without large upfront investments. Learn more in BC’s AI Adoption Guide for Water and Wastewater Utilities. 📥 Download the guide and start modernizing your operations the smarter way today: https://ow.ly/VNGh30sOLt9
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AI won’t fix broken systems…or messy data…or outdated processes. But done right, it can transform how you work – faster, smarter and more sustainably. In regulated sectors like healthcare, finance and manufacturing, the pressure to adopt AI is real. But so are the risks. So before you dive in, ask: Are your systems AI-ready? Is your data clean and compliant? Do your teams know how to use AI responsibly? At Speed, we help ambitious businesses lay the right foundations to unlock real results with AI. Read the full blog: 🔗 https://lnkd.in/eMrQesMW
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Without low-latency, real-time access to validated data and the context that surrounds it, Agentic AI is just a shiny toy. To deliver real production value at enterprise scale, Agentic AI workflows need continuous connectivity to trusted, governed data from operational systems and knowledge repositories. Here's a quick read about how the Model Context Protocol (MCP) standardizes this access, enabling Agentic AI workflows to securely retrieve structured, business-critical context from enterprise tools and datasets. We explore how MCP enhances AI model performance and why pairing them with advanced data observability solutions is key to scaling reliable enterprise-grade AI systems. Click on the link below to read the full article- https://lnkd.in/gMZp69cv #EnterpriseAI #ModelContextProtocol #AIObservability #DataQuality #TrustedAI #AIIntegration #AIGovernance #DataObservability #MCP
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Just about every conference, event, and client visit I attend has at least one topic in common: artificial intelligence. Understandably, there’s a growing sense of urgency in the public sector around AI. Agencies are getting it from every side - higher resident expectations, elected officials embracing the broader trend, dealing with aging infrastructure, and competing priorities. Meanwhile, the term “AI” carries with it lofty promises: to accelerate processes, automate redundant tasks, improve service delivery, and unlock revenue. But the reality is that there are still many questions around where and when to adopt AI-powered technologies — and if your agency and constituency are comfortable with the usage of AI. In this PayIt publication, we synthesize research data, experience from our work with clients, and insights from conversations with industry leaders to create an actionable guide that represents the current state of AI in the public sector. I recommend this to any government leader considering their approach to AI (and perhaps even more strongly recommend to any leaders who aren’t). The link to the full report is in the comments. #GovTech #DigitalGovernment #PublicSectorInnovation #ArtificialIntelligence
