For insights teams and enterprise research leaders, the biggest problem with AI in market research isn’t speed. It’s trust. In this discussion, Simon Nagle, Senior Client Director at Melli, shares why trust has become the defining challenge for AI-powered insights. When everything looks convincing: • contradictions slip through • context gets lost • decisions are made on shaky ground That’s where most workflows quietly break. The real shift isn’t better prompts or more tools. It’s moving toward systems that preserve context, sources, and accountability. 👉 When decisions depend on data, “probably right” isn’t good enough. See how agencies are building trust into AI-driven insights — link in the comments below. #ConsumerInsights #TrustedAI #MarketResearch #EnterpriseAI #DecisionIntelligence #AgenticAI

Every organization is somewhere on the AI adoption curve. The question is how quickly they can move from experimentation to real business impact. Michael Fraccaro joined Siobhan Savage 🌎💜 to discuss why leaders need to equip their teams with the right capabilities, data, and tools to accelerate that transition. ➡️ Read the full recap + watch the recording: https://lnkd.in/gJjiPu-s #TheWorkBlueprint

“The organizations that will lead in AI aren’t those with the most data. They’re those that know how to turn distributed, protected knowledge into collective intelligence.” — Yoshua Bengio That shift — from data ownership as competitive advantage to learning-without-sharing as infrastructure — is one of the most consequential architectural choices of this decade. 💬 What’s your organization’s biggest obstacle to meaningful AI adoption? #SherpaAI #FederatedLearning #AIStrategy #PrivacyPreservingAI #QuoteOfTheWeek

🎥 'AI adoption is outpacing data governance' In this interview, Tim Pfaelzer, Senior Vice President and General Manager EMEA at Veeam Software, explores why AI adoption is creating new data visibility challenges for organisations and why governance, resilience, and trust must become the foundation for responsible innovation. He examines the tension between the urgency to embrace AI and the need to understand the data powering it, revealing why visibility will be critical as organisations move from AI experimentation to real-world adoption. Click the link to watch 🔗 https://lnkd.in/eNW2cBnM #MSPChannelInsights #MSPMagazine #managedserviceproviders

Read here: https://ow.ly/AWeK50Zoz7h Every new technology creates excitement. Responsible implementation creates lasting value. Federal agencies don't need AI because it's new. They need AI where it helps employees improve mission outcomes, strengthen stewardship, and protect taxpayer resources. In his latest blog post, David B. Doane offers a thoughtful roadmap for applying AI where it can have measurable impact while preserving governance, transparency, and human oversight. It's a worthwhile read for federal leaders preparing their organizations for practical AI adoption: https://ow.ly/AWeK50Zoz7h #ArtificialIntelligence #FederalLeadership #GovernmentInnovation #PublicSector #ManagementConcepts

There will never be enough people to look at everything. That’s not necessarily a problem if we get much better at deciding where to look. One of the more practical AI use cases Dave Doane explores in this Management Concepts blog post is using technology to sift through enormous volumes of transactions and help people identify where risk may be hiding. Not to make the decision. Not to make the accusation. To help a skilled human being decide what deserves a closer look. Maybe one of AI’s biggest opportunities isn’t doing more work for us. It’s helping us spend our limited human attention where it matters most. https://lnkd.in/eyQWrPNT #ArtificialIntelligence #FraudPrevention #RiskManagement #FederalGovernment #FutureOfWork

Alpha is at Ai4 - Artificial Intelligence Conferences & Black Hat this week. As thousands of AI leaders gather in Las Vegas, we’re bringing a governance question that every enterprise will soon need to answer: Who governs the agent when the agent begins to govern the enterprise? At Alpha, we’re developing the independent ratings and intelligence infrastructure needed to boardrooms govern AI, particularly as autonomous and agentic systems move from experimentation into real operating authority. We’re looking forward to conversations with enterprise leaders, institutional investors, insurers, policymakers, and AI builders working through the next generation of governance questions: ✅ How should organizations measure agentic readiness? ✅ What evidence demonstrates that AI systems are responsibly governed? ✅ How will boards, capital providers, and insurers distinguish credible governance from governance theater? ✅ What will independent AI governance ratings need to assess? If you’re attending Ai4, please message us! We’d love to connect. In the agentic economy, governance is Alpha! #Ai4 #AIGovernance #AgenticEconomy #AgenticEnterprise

For many in the AI safety and alignment community, the challenge isn't just building models—it's ensuring they are robust, interpretable, and aligned with human values at scale. Without a coordinated network, efforts often remain siloed. Researchers share findings in isolation. Practitioners reinvent governance frameworks. Organizations struggle to find trusted peers for cross-validation before deployment. The friction is real: fragmented knowledge, duplicated effort, and the slow pace of adopting responsible standards across a rapidly evolving landscape. Imagine a different state. A unified space where safety researchers, AI practitioners, and policy experts collaborate on shared benchmarks and best practices. Where alignment insights are distributed faster than they are published. Where governance is not an afterthought but a collaborative standard. This is the bridge AI Coalition offers. We bring together the builders and thinkers who care about responsible development—not for hype, but for durability. Alan Cooney - AI Security Institute, with your focus on alignment and safety services, sits right at the intersection of this need. The work you do requires a community that understands the nuance of risk, not just the scale of capability. AI Coalition provides the network to connect that specific expertise with broader collaborative infrastructure. Join the coalition to help shape responsible AI development alongside peers who value depth over noise. https://ai-coalition.net #AISafety #Alignment #ResponsibleAI

Las Vegas will be at the center of the AI and cybersecurity world this week, with Ai4 - Artificial Intelligence Conferences and Black Hat bringing together leaders shaping how these technologies are built, deployed, and governed. I’m looking forward to speaking at Ai4 about one of the most consequential issues facing organizations today: how to translate AI governance from a board-level mandate into an operational capability. That requires clarity on both sides of the table: Directors need the right frameworks to exercise meaningful oversight. Management teams need practical mechanisms to govern deployment, execution, and accountability, especially as AI systems become increasingly agentic and autonomous. The central question is no longer whether organizations will adopt AI. It is whether their governance can keep pace with it. If you’ll be in Las Vegas for Ai4 or Black Hat, let me know - would love to connect. #AIGovernance #AgenticEnterprise #AgenticEconomy

What if your organization's greatest competitive advantage is hidden within the data you already own? Every day, industrial organizations generate vast amounts of data. Yet too often, that data remains trapped in silos, limiting visibility, slowing decision-making, and preventing teams from realizing its full value. #IndustrialIntelligence is changing that. By connecting data across systems, contextualizing it with operational expertise, and enriching it with AI, organizations can unlock real-time insights that drive smarter decisions, increase resilience, improve efficiency, and accelerate business outcomes. The future belongs to organizations that can turn data into intelligence - and intelligence into action. 👉 What is the biggest challenge your organization faces when it comes to unlocking value from data: access, context, or action? 📖 Read the full article: https://okt.to/b6DxF7