Doug Rose

96% of Applied Data Science Lab alumni call it a worthwhile investment. The difference? Learners don't just dive into theory—they build end-to-end projects that mirror real work. They wrangle messy data, create predictive models for housing prices and customer retention, develop interactive dashboards, and build APIs that deploy their insights into live applications! Curious? Learn more at https://hubs.ly/Q03Bq-G_0 #GrowWithWQU #AppliedLearning #LifelongLearning #GlobalEducation #DataScience

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Very important, just released today, America AI Action Plan by The White House: https://lnkd.in/gN7iFraM Key policies in the AI Action Plan include: 💡Exporting American AI: The Commerce and State Departments will partner with industry to deliver secure, full-stack AI export packages – including hardware, models, software, applications, and standards – to America’s friends and allies around the world. 💡Promoting Rapid Buildout of Data Centers: Expediting and modernizing permits for data centers and semiconductor fabs, as well as creating new national initiatives to increase high-demand occupations like electricians and HVAC technicians. 💡Enabling Innovation and Adoption: Removing onerous Federal regulations that hinder AI development and deployment, and seek private sector input on rules to remove. 💡Upholding Free Speech in Frontier Models: Updating Federal procurement guidelines to ensure that the government only contracts with frontier large language model developers who ensure that their systems are objective and free from top-down ideological bias. Very exciting news from the White House. Looking forward to working together to ensure American leadership in AI! Lynne Parker Linda McMahon Michael Kratsios David O. Sacks #whitehouse #artificialintelligence #americanaiactionplan

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You trained the model. You trusted the output. But can you trace the data that led to the decision? 👀 AI in analytics isn’t dangerous because it’s wrong. It’s dangerous because it’s convincing, even when it’s wrong. 📰 This article breaks down the real risks of AI-powered insights and how to design for trust with traceability, governance, and human oversight. Read it here: https://lnkd.in/eKuQnv7J

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#upskilling during the #shutdown Tip 11: Version Control is not just for computer science. It's part of Reproducible Results for #science and #statistics too (The American Statistical Association - ASA even includes it on their reproducible research recommendations https://lnkd.in/gD95Bx-9). Luckily, #Git (the primary version control program) is not only free and open source, but also has a free and open source book https://lnkd.in/geT_viFC)

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Excited to announce the launch of Linthicum Research's new AI Project Audit service! -- Linthicum Research, LLC A significant number of AI projects fail to deliver on their promises, with estimates ranging from 70% to 85%. McKinsey, (https://lnkd.in/eUReHCUJ) along with other organizations such as RAND and IDC, have reported persistently high failure rates—some suggesting that AI projects fail at twice the rate of traditional IT projects. Data quality issues, including messiness, incompleteness, and overall poor quality, are frequently cited as the primary reason for these failures. Linthicum Research's AI Project Audit directly addresses these systematic challenges by ensuring every aspect of your project is strategically sound and built for real-world impact. Service Highlights: Business Case Validation: Ensures your project generates clear business value and measurable outcomes. Logical and Physical AI Architecture Review: Expert analysis to confirm that AI designs and architectures are robust, scalable, and future-proof. Technology Configuration Review: Assessment of technology stack and AI tool selections for optimal fit and performance. Action-Oriented Assessment: Clients receive detailed, real-world assessments, including actionable recommendations—whether to get the project back on track, validate current progress, or recommend significant changes to minimize costs and maximize value. https://lnkd.in/eneSMXw6

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AI brings new possibilities, but their impact is limited when foundational data problems go unresolved. I joined John Santaferraro on The Digital Analyst powered by InsightJam.com to talk about what it feels like to be in the data trenches today. What’s changed? A lot. But frustrations around discovery, access, and trust still show up in familiar ways. We unpacked why that is—and where things are moving forward. A few threads that stood out: → How operating models and architectures require a federated model to align data initiatives across an organization. → How modern tools—catalogs, fabrics, marketplaces—are useful, but only when backed by robust data strategy → What’s finally working for analysts at the frontlines of ad hoc insight  → Why access delays—ownership confusion, slow approvals, and ticketing queues—are still a major blocker for analysts and teams → And how the dream of “just throw data into a lake and let AI sort it out” is still... mostly a dream There is progress—across tools, architectures and frameworks. But the fundamentals—modeling, governance, and intentional design—still matter more than ever. If you're close to this space, I think it’ll resonate. If you're leading teams through it, maybe it’ll spark a few ideas about where to focus next. 🎧 Full conversation here: https://lnkd.in/eAmg-Cpk Thanks to John for the thoughtful conversation and the invitation to reflect on both where we are—and where we still need to go. #DataStrategy #Analytics #AI #DataCulture #DataDiscovery #TheDigitalAnalyst #InsightJam

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📍 The journey from complex data to confident decisions in defense remains fraught with friction. Our new "AI: From Models to Missions" blog series dives deep into this challenge, kicking off with Part 1: 💡 "Insight Consumption in Defense Using AI Agents" by Aakash Indurkhya Discover how Virtualitics cuts through this complexity, creating intuitive interfaces that make insights truly consumable for the DoD. Read Part 1 now 👉 https://lnkd.in/g8J5Tmh5 #DefenseTech #AIinnovation #GenAI #AIagents #ConsumableInsights #MissionAI

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🚀 Microsoft’s Majorana 1 Chip: A Quantum Shift for AI Governance 🚨 In a shocking revelation Microsoft presented today first quantum chip. Majorana 1 chip is a game changer in quantum computing—and its impact on AI governance will be hard to ignore. Quantum advancements aren’t just about faster processing—they’re about how we secure, regulate, and trust the technology shaping our world. Here are five key ways this chip could change how we govern AI: 1️⃣ 🔒 Data Security Risks & Solutions – Quantum computing can break current encryption. AI governance must evolve to protect data and privacy. 2️⃣ ⚡ Faster AI Development – AI models will train faster than ever. Policies need to keep pace to ensure safe deployment. 3️⃣ 🔎 Clearer AI Decisions – Quantum’s processing power could improve AI transparency—helping us understand AI’s choices. 4️⃣ 📜 Updated Regulations – More powerful AI calls for updated rules. Today’s standards won’t be enough. 5️⃣ 🤔 Ethical Concerns – Stronger AI raises urgent questions about control, consent, and societal impact. The Majorana 1 chip isn’t just a tech breakthrough—it’s a wake-up call 🛎️. AI governance must evolve, or we risk falling behind. 🌍 How do you think quantum computing will change the AI landscape? Let’s talk. ⬇️ #QuantumComputing #AIGovernance #MicrosoftMajorana1 #AIRegulation #ResponsibleAI

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Unlock powerful insights with DSS Professional's Intelligent Analysis. Metadata tools for demographic and directional data, including gender and age. 'In Area Number' analysis with custom duration settings for strategic planning. Download & learn more: http://tiny.cc/dahuadss

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