David Trier

Just dropped! On our latest Diagnosing Healthtech episode, Michael Sanky from Databricks joins Jeff Englander and Toryn Slater to discuss the crucial components to keep in mind when building a data governance framework. https://bit.ly/3JJR2TO Healthcare Strategy Bullpen #datagovernance #healthcare

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While AI is powerful, it’s not a one-size-fits-all solution. Product leaders must critically assess how AI fits into their overall strategy, ensuring it drives real outcomes, not just adoption. AI has transformative potential but a grounded approach, like the one highlighted here, is needed that focuses on customer value and leading with cross-functional empathy. #ProductLeadership #AI #Innovation

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Meet Keith Belanger Product Evangelist here at SqlDBM, the visionary behind Global Modeling. Global Modeling offers the incredible ability to maintain independence across different teams while ensuring interoperability. It’s about having a single view of the truth—where each team can model their data domains but also reference and collaborate on data objects they don’t directly control. This eliminates silos and ensures data stays relevant, interconnected, and synchronized. We've seen the transformation firsthand in large organizations adopting data mesh frameworks. They've revitalized their data modeling practices to not just keep pace but lead in their industries. Now, we're excited to share these insights and strategies with you! 📘 Dive deeper into the transformative world of Global Modeling with our latest eBook. Discover how you can harness this capability to bring cohesion and actionable intelligence across teams and domains to your business data. https://hubs.ly/Q02wHN0G0 #GlobalModeling #DataMesh #DataModeling #Collaboration

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As enterprises explore GenAI and RAG for enhanced knowledge retrieval, optimizing model safety, alignment, and performance is key. Trustwise Optimize:ai provides a powerful solution for enhancing RAG systems with advanced techniques like compressors and tuning, streamlining model efficiency while reducing costs and environmental impact. Sign up for a free trial here: https://lnkd.in/gG49H3Hm 🦉 Key benefits of Trustwise Optimize:ai: ⚫ Integrated API: Supports the entire AI lifecycle, from design to deployment ⚫ Model optimization: Chooses the best foundation models and configures RAG parameters ⚫ Energy efficiency: Uses techniques like chunking, pruning, and context compression to cut expenses and carbon footprint ⚫ Goal-based tuning: Balances cost, performance, and environmental impact with fine-tuned RAG strategies Engaging with Optimize:ai early aligns your AI development with both financial and sustainability goals. ♻️ https://lnkd.in/gxUWRuXw #GenAI #generativeAI #TrustworthyAI #AI #RAG Forrester Rowan Curran Aaron Suiter

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A recent report from the American Hospital Association reveals a 17.5% increase in hospital expenses and a 20.8% rise in labor costs from 2019 to 2022. It's crucial to differentiate genuine AI advancements from "AI washing" practices. Staying informed is key to unlocking AI's potential in boosting operational efficiency and patient care. #HealthcareIT #ArtificialIntelligence #ResourceManagement #AIinHealthcare https://lnkd.in/eFWKVTpF

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🎙 Is the competitive landscape of general purpose LLMs becoming a space race for only 4 titian-sized companies? On the latest JUMP, Charles Dunn and I initially focused on LLama 3's new features before finding ourselves transitioning to the increasing costs and energy required for each model enhancement. This expense starts to highlight the widening chasm in capabilities between the titan trillion-dollar companies (whether direct players or backers) and the even "smaller" billion-dollar corporations. 🎧 Listen in to the latest JUMP tech talk to hear more: https://lnkd.in/eY8yGA6p #cognixia #thejump #llama3 #meta #genai

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Want to hear some insights on Microsoft copilot adoption based on what I've learned from customers and our deployment? Turn into our podcast.

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Reading this article made me think of Matt Webb and Michael Veitch, the great guys who run OutcomePath (the pre-spend agency). If you’re considering how to plan and prioritise tech implantations, including AI, at your organisation, give Matt and Mike a shout and they’ll help you deliver better, quicker and with less waste. https://lnkd.in/evjcvAnQ

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Not all AI solutions are created equal. Stop settling for one-size-fits-all platforms. With HatchWorks AI and Databricks, we tailor data strategies that fit your unique business needs—because your data deserves more. 🧱 https://lnkd.in/gqD-JJvd Your data can be a powerful tool for growth, not a hurdle to overcome.

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Learn why larger organizations are less likely to fully trust their data than smaller organizations. Kyle Kirwan, Co-founder and CEO of Bigeye, speaks with Derek Strauss, Gavroshe | Data Driven Innovation - Chairman, and CDO Magazine Editorial Board Member in a video interview about his learnings around data management from his time as a data scientist at Uber, and how the space has changed over the last five years. Sharing a key learning from working at Uber, Kirwan says that putting data products directly into the core parts of your business helps create a flywheel around data. The more that a business gets value out of data products, the more one can justify investment into the data team, infrastructure, management, and science. 👉 WATCH the interview here: https://hubs.ly/Q02xdCMN0 You can also find this episode on our podcast page! 🎧 LISTEN here - https://hubs.ly/Q02xdhG50 #Leadership #DataManagement #ThoughtLeadership #Diversity Did you find this post relevant? Like it, share your views with the interviewee, and tag others who can benefit from it in the comments.👍🗨️

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Join Us on April 29th at 12 PM ET: In this exclusive episode of InsideAnalysis, with host Eric Kavanagh as he sits down with thatDot's very own Paige Roberts, Director of Product Innovation at thatDot. Paige will reveal how shifting tough analysis earlier in the process can transform your data game. Shift Difficult Problems Left with Streaming Graph Analysis Some challenges are like intricate puzzles—hard to crack, yet essential to conquer. Imagine catching advanced persistent threats, acting swiftly on critical device system issues, and calculating complex risk in mere seconds. These are the vexing problems that keep us up at night. Graph data representation excels at spotting anomalies, understanding categories, and revealing hidden patterns and relationships. But here's the twist: traditional graph databases often move at a snail's pace. What if I told you there's a game-changing solution? Introducing Streaming Graph: A unique technology that marries the scalability of event stream processing systems with the ability to query for complex relationships offered by graph databases. It's like having the best of both worlds! Why Streaming Graph Matters: 1. Cybersecurity and APT Detection: Identify anomalous patterns in network traffic, user logins, and device logs. Proactively prevent security breaches without time window limitations. 2. Edge Smart Filtering: Monitor sensor data streams from industrial and other devices. Understand which data is valuable, so you don't overwhelm downstream systems. Act swiftly when issues arise. 3. Real-time Risk Analysis and Fraud Detection: Uncover intricate fraudulent activity patterns across transactions, user behaviors, and device data. Traditional rules-based systems? They'd miss these gems. Register now: https://hubs.ly/Q02tmksx0 #StreamingGraph #RealTimeInsights #anomalydetection #data #analyze #threatdetection

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Join Us on April 29th at 12 PM ET: In this exclusive episode of InsideAnalysis, with host Eric Kavanagh as he sits down with thatDot's very own Paige Roberts, Director of Product Innovation at thatDot. Paige will reveal how shifting tough analysis earlier in the process can transform your data game. Shift Difficult Problems Left with Graph Analysis on Streaming Data Description: Some problems are difficult to solve. Catching advanced persistent threats; acting on key problems in device systems; calculating financial risk in seconds rather than hours or days—these are all difficult problems. Graph data representation excels at catching anomalies, understanding categories, finding patterns and relationships; but graph databases are notoriously slow. What if you could interpret multiple data streams coming in as a graph and do deep graph analysis on data before it ever lands? Register for this episode of InsideAnalysis to learn how a unique technology, streaming graph, can solve some of the most significant challenges in real-time data analysis. Host @eric_kavanagh will interview Paige Roberts, Director of Product Innovation at thatDot, who will explain the value of shifting tough analysis to earlier in the process. She'll discuss how a graph analysis of flowing data can benefit your business. Key business applications include: 🔹Cybersecurity and APT Detection: Identify anomalous patterns in network traffic, user logins and device logs to proactively prevent security breaches with no time window limitations. 🔹IoT Edge Smart Filtering: Monitor sensor data streams from industrial and other devices, understand which data is useful so you don’t flood downstream systems, and act immediately when problems arise. 🔹Real-time Risk analysis and Fraud Detection: Uncover intricate fraudulent activity patterns across transactions, user behaviors, and device data that traditional rules-based systems would miss. Register now: https://hubs.ly/Q02tm8JG0 #StreamingGraph #technology #anomalydetection #data #opensource #datamanagement #generativeai #cybersecurity #RealTimeAnalytics

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As singularly focused as Senzing is on entity resolution developer tools —Enterprise Knowledge, LLC (EK) is singularly focused on consulting around semantic solutions. We’ve come to know EK and are quite impressed with their team and capabilities in this area.    With that, I’m excited to co-author this article with EK VP and Partner, Lulit Tesfaye. Entity Resolved Knowledge Graphs (ERKG) are going to prove to be an essential starting point for most projects centered around the semantic layer. Take a look…   #SenzingPartner #SemanticLayer #EntityResolvedKnowledgeGraph #EntityResolution #GraphAnalytics #GraphVisualization #KnowledgeGraph #GraphDatabase https://lnkd.in/drGacJVq

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I believe Eric Siegel's article on successfully deploying machine learning is crucial. Business leaders need to be engaged from the start, defining deployment use cases and business success metrics. According to Siegel, overly focusing on technical metrics can sabotage a project's value. The key is to prioritize the business objective and integrate machine learning to enhance it. #deeplearning #insurance #insurtech #pinpointpredictive

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💡In this week's Prompt of the Week, I share how you can use Copilot to synthesize data for a demo without revealing your own data.🔐 #Copilot #PromptofTheWeek #AI https://lnkd.in/gxPXqPHv

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Are you prepared for a #GenAI transformation? Organizations often overestimate their readiness, leading to a limited number of use cases reaching the production phase. In this article, Áron Horváth, Unit8 outlines the essential steps for a sustainable GenAI adoption. #GenAI #Transformation ➡️

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We've shifted from "API-first," "cloud-first," and "mobile-first" approaches to embrace the transformative power of generative AI. Gartner highlights that CEOs are now facing a new landscape where integrating GenAI is not just a technological move but a strategic necessity for staying competitive. It's all about leveraging AI's innovation and intelligence to reshape business models and customer interactions in profound ways. #genAI #healthcare #healthtech #encora Check out Gartner’s insights on how CEOs are embracing GenAI:

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Miss our "digital transformation gotchas" discussion with Ryan Jeffery from Passionate About OSS? Here's Geoff Hollingworth talking with Ryan about a project to identify 16,000 opportunities for automation. Even with AI, moving quickly was a challenge given organizational challenges. So how to prioritize? Link to the full replay in the comments! #AI #Automation #ZeroTouchTelecom

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