Deidre Paknad

5 Real Scenario to Prove “When data meets research, innovation begins" https://lnkd.in/geuyPWNM #DataInnovation #ResearchAndData #DataDriven #InnovationStartsWithData #RealScenarios #complereinfosystem

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Check out our latest blog from Adam Gloe TribalScale #AITransformation #DigitalTransformation #RightTheFuture https://lnkd.in/eBW8RjwY

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Business model innovation around Retrieval Augmented Generation from O'Reilly -- they have indexed all the content on Safari and are using it to provide answers grounded in vetted and credible content (their unique sauce). Another innovation here is to credit/compensate authors for the fraction of their work used in a generated answer. While this is progress, the more well-grounded the summaries look, the more dangerous the inevitable mistakes will be -- irrelevant documents will still lead to misleading summaries, and there will still be hallucinations because of interpolations with the text used to train Llama. At least based on the article, I don't see them employing self-checks or guardrails. I hope those are coming. https://lnkd.in/gqqHiR2D

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The integration of large language models (LLMs) in healthcare shows promise but also raises critical questions. While LLMs offer potential benefits such as improved diagnostics and patient care, challenges like data privacy and bias remain. Stanford's report examines the current landscape, highlighting advancements and emphasizing the need for cautious implementation. As LLMs evolve, addressing ethical and technical concerns becomes imperative to realize their full potential in healthcare. https://lnkd.in/g9SkQieH

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AI is navigating a very tricky transition from "novel" to "useful" at the moment, and while the wild creative swings and the (now-maligned) wearables are capturing the attention, there's a deeper discussion happening about what it means to get generative models ready for reliable, robust, enterprise-grade deployment. More in our breakdown of this week's top #fashiontechnology news: interli.net/4aYFUhn

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🎧 New Episode Alert! 🎧 This week's episode of Unpacking Organizations features one of the biggest names in Organization Design - Amy Kates! Whether you're an executive, manager, consultant, or simply passionate about Org Design, you won't want to miss Amy (OD royalty 👸🏼) sharing her insights and experiences! #OrgDesign #OD #OPandA

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What is Microsoft doing and what should you do about it? If you want to be prepared, signup for our NetNada Supply Chain Webinar tomorrow with Lochie Burke. 👉🏻 https://lnkd.in/gVwGjfRZ This session will not only help you measure and report Scope 3 carbon emissions, but also align your efforts with broader sustainability and ESG goals, including defining key metrics and targets critical to your success as disclosure requirements evolve.

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Join us on November 20th at noon ET for a webinar covering Best Practices in Responsible AI. Anthony Hoogs and Brian Hu will discuss strategies for transparency, accountability, and human-centric decision making. They will explain how different organizations are handling the ethical use of AI, discuss the challenges and importance of rigorous testing of AI algorithms before deploying them into operational use, and share existing AI assurance tools to help you adopt responsible AI practices. https://lnkd.in/e-gC8z_T

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Interesting article in HBR about two of my favorite topics - AI and economics.

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NEWS - Validation and Evaluation for Trustworthy Artificial Intelligence (VET AI) Act Introduced U.S. Senators John Hickenlooper and Shelley Moore Capito introduced the bipartisan Validation and Evaluation for Trustworthy Artificial Intelligence (VET AI) Act (details below). I'm excited about this bill because it builds on recommendations we--as the IEEE USA AI Policy committee--made in a position statement released last February (https://lnkd.in/e9sETwNM). It was a pleasure to co-lead this effort with Dr. Cari Miller. I'd also like to thank Sen. Hickenlooper's staff for being receptive to feedback that I, and colleagues, provided on this bill. Details: ➡ Directs NIST, in coordination with the Department of Energy and National Science Foundation, to develop voluntary specifications and guidelines for developers and deployers of AI systems to conduct internal assurance and work with third parties on external assurance regarding the verification and red-teaming of AI systems. ➡ Such specifications require considerations for data privacy protections, mitigations against potential harms to individuals from an AI system, dataset quality, and governance and communications processes of a developer or deployer throughout the AI systems’ development lifecycles. ➡ Establish a collaborative Advisory Committee to review and recommend criteria for individuals or organizations seeking to obtain certification of their ability to conduct internal or external assurance for AI systems. ➡ Require NIST to conduct a study examining various aspects of the ecosystem of AI assurance, including the current capabilities and methodologies used, facilities or resources needed, and overall market demand for internal and external AI assurance.

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A really practical guide to LLMs is now available! Learn what to do, what to avoid, from prompting to RAG, to fine-tuning, and evaluation. Definitively worth reading. https://lnkd.in/dCC6uKjs

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Resource-Intensive Industries: Time To Think Sustainability - Forbes You will use some kind of technology to optimize your processes and reduce waste. Focus on reducing, reusing and recycling materials to lower your ... https://vist.ly/3g52x

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At one time, this would have made a great script for a Hollywood blockbuster or a Tom Clancy novel. Instead, it’s a very real world security issue threatening organizations and global security simultaneously. If government-sponsored North Korean IT workers can infiltrate corporations with such ease – creating fake identities and profiles, masking their true locations, skating through cursory background checks and interview processes – we need to be smarter about the cybersecurity technologies we deploy and, perhaps even more critical, train the “human firewalls” in HR, IT, hiring managers and colleagues to say something if they see something. Read our fascinating Unit 42 cybercrime article on what to look out for on both the technology and people fronts.

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AI leaders have a crucial chance to address risks now and strengthen governance practices before playing catch-up to regulations, notes Kjell Carlsson, Ph.D. of Domino Data Lab. In a recent VentureBeat article, he shares his perspective on California's AI bill veto and why proactive governance is key to the future of AI innovation. Learn more about this addressing this opportunity: https://gag.gl/4WCTkP #AI #AIGovernance #AIInnovation #DataScience

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🔍 Just read an insightful article on Kevin Goldsmith blog about #Spotify’s matrix organization model! Here’s why it’s a must-read: ✨ Inspiration from Spotify’s Matrix: Learn how a cross-functional approach can foster #collaboration and #innovation. 🧠 Lessons in Scaling: Discover practical tips for structuring #teams as your organization grows. 🚀 Actionable Strategies: The article breaks down Spotify’s unique model, offering steps to adapt it for your own team. 💡 Why Read This? If you're #scaling your #engineeringteams or improving collaboration, this article has actionable insights you’ll want to try.

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