Hey there, friends! Let's dive into the exciting world where AI intersects with data engineering. Picture this: you're at the helm of your organization's data initiatives, and AI is your trusty co-pilot, helping you navigate through the sea of information with ease. With AI by your side, you're not just managing data; you're unleashing its full potential. Think automation that frees up your time for more strategic tasks, or AI-powered analytics uncovering insights you never knew existed. It's like having a supercharged toolkit that empowers you to innovate, optimize, and stay ahead in today's data-driven landscape. So, buckle up, because the journey with AI in data engineering is full of discovery and endless possibilities! #AI #DataEngineering #Innovation
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Is AI Product Analytics Right for Your Team? 🤖📊 The AI revolution in Product Analytics isn't just hype—it's transforming how we understand data and make decisions. But is it the right tool for you? Let's break it down: ✨ Key Benefits of AI: - Data Process Automation - Adaptive Learning - Big Data Mastery - Personalised Insights - Unstructured Data Analysis - Predictive Modelling ✨ Things to Mull Over: - Data Security - Cost vs. Value - Early Adopter Hiccups - Over-Reliance 🔍🤔 The conclusions? Read our full post: https://lnkd.in/ed9yVjdM #AIRevolution #ProductAnalytics #DataMastery #PredictiveTrends #TechInsights #EcommerceEvolution #FintechFuture #StartupStrategy #AIAdoption #DataDrivenDecisions #InterSTEM
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Data analysts and engineers, are you ready to revolutionize the way you work? Imagine streamlining your workflow, minimizing errors, and accelerating delivery—all with the power of AI. With Infoworks AI, you can: Generate the most accurate AI-driven SQL. Automate data exploration. Use AI to profile, cleanse and transformation your data Don't just take our word for it. See it in action. 👉 Request a personalized demo today and discover how Infoworks AI can transform your data processes! #DataAnalytics #DataEngineering #AI #InfoworksAI #Demo
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Ditch the crystal ball approach. With AI algorithms and models, you can enhance automation and make smarter, data-driven decisions. Dive into the world of AI with us and transform your data curiosity into expertise. Ready to level up? Connect with Data Teacher on LinkedIn for insights on data management and AI integration. #ArtificialIntelligence #DataDriven #Innovation #data #management #artificialintelligence
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I greatly enjoyed recording this podcast with the #BABrew team! Business Analysis is one are where AI will bring significant changes to working styles and outcomes. We cover a lot of ground in this conversation! #businessanalysis
It’s #BABrew Season 9, and we’re kicking off with a thought-provoking one. Donald Farmer is one of the world’s foremost thinkers, researchers and presenters in the field of Artificial Intelligence. He’s the perfect guest to discuss the benefits, risks and opportunities presented by AI. Topics discussed include: automating processes; cost savings; intellectual property; caring about the human element; inherent bias in AI; the need for new requirements; mitigating for unexpected adverse effects and more. Donald Farmer is a visionary data and analytics strategist with over 30 years’ experience designing data and analytics products. He has led teams at Microsoft and Qlik Technologies and is now the Principal of TreeHive Strategy where he advises software vendors, enterprises and investors on data and advanced analytics strategy. #AI #artificialintelligence #AIautomation #requirements #dataanalytics #dataanalysis #businesschange #servicedesign
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Data Strategy & Governance Lead @ Thoughtworks Europe | Author of "Humanizing Data Strategy" | TEDx Speaker | Data Musician
2023 taught many companies a lesson this year: “doing more AI” is not a data strategy. A data strategy always starts with a link to the overall business strategy, and by identifying how data capabilities can drive business value in increasing revenue, decreasing costs or avoiding risk. Some of them might be powered by AI, but most likely a big part of them don’t need to be. We often underestimate how powerful some less advanced things like discoverability of data or a good reporting can drive business impact with lower efforts. Start with the WHY, then decide on the WHAT, and only then it’s about the HOW. I see an even bigger focus on improving data foundations next year, and I’m so here for it. Let me know if you need some help. #datastrategy #datagovernance #tiankaistuff
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Helping Government Leaders Make Data-Driven Decisions by Day, Demystifying AI for Kids (and Parents) by Night | CDO Magazine's 2023 Global Data Power Woman
Data management professionals, if you aren’t following Tiankai Feng you are missing out. Check out this interview with him on my podcast as well: https://lnkd.in/erpKn3EV #data #datamanagement #datagovernance #aigovernance #datastrategy #aistrategy
Data Strategy & Governance Lead @ Thoughtworks Europe | Author of "Humanizing Data Strategy" | TEDx Speaker | Data Musician
2023 taught many companies a lesson this year: “doing more AI” is not a data strategy. A data strategy always starts with a link to the overall business strategy, and by identifying how data capabilities can drive business value in increasing revenue, decreasing costs or avoiding risk. Some of them might be powered by AI, but most likely a big part of them don’t need to be. We often underestimate how powerful some less advanced things like discoverability of data or a good reporting can drive business impact with lower efforts. Start with the WHY, then decide on the WHAT, and only then it’s about the HOW. I see an even bigger focus on improving data foundations next year, and I’m so here for it. Let me know if you need some help. #datastrategy #datagovernance #tiankaistuff
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Prefers Data Solutions with Benefits | Talks, Writes, Breathes Data | No-Fluff Data Strategist | AI Enthusiast | Data Leader & Coach | Engineer, Coder, IT Sherpa | Top Data Governance Voice | FamilyGuy | Dog Whisperer
One word: #DataFirst OK, maybe that's two words. Hope is not a strategy. Neither is "doing more AI". #LeadWithOutcomes #BusinessOutcomes #OutsideIn #NoOneCaresAboutDataQuality (honestly) #EveryoneCaresAboutDataReadiness What's the difference? Data Quality means nothing. Data Readiness means: -> You know your WHY -> You know your WHAT -> You can assess "DataQuality In Context" #FocusOnTheDataThatMatters #TiankaiRocks #DataNinja #RockStar #PurpleUnicorn
Data Strategy & Governance Lead @ Thoughtworks Europe | Author of "Humanizing Data Strategy" | TEDx Speaker | Data Musician
2023 taught many companies a lesson this year: “doing more AI” is not a data strategy. A data strategy always starts with a link to the overall business strategy, and by identifying how data capabilities can drive business value in increasing revenue, decreasing costs or avoiding risk. Some of them might be powered by AI, but most likely a big part of them don’t need to be. We often underestimate how powerful some less advanced things like discoverability of data or a good reporting can drive business impact with lower efforts. Start with the WHY, then decide on the WHAT, and only then it’s about the HOW. I see an even bigger focus on improving data foundations next year, and I’m so here for it. Let me know if you need some help. #datastrategy #datagovernance #tiankaistuff
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Account Manager @ Randstad Digital | Helping my clients find top technical talent | Fitness & Travel Enthusiast
🤖Is your AI as smart as it could be? I wanted to share 10 key questions you need to ask your data engineers to ensure peak performance! Let me know if you use any.
AI prep 101: 10 must-ask questions for your data engineers.
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I don't think Tiankai Feng had the Oil & Gas industry in his mind when making this post. But I do, and I am fully agree 😄 * my industry: not High Tech, it is Oil & Gas * my company: not AIaaS, it is an Independent E&P company * my project: not "leverage the power of AI", it is Production Optimization by digital * my clients: Petroleum Engineers who have demands in certain data tools (databases, analytical software, visualisation tools with proper data engineering undercurrents as data management, orchestration, etc.) * my products: "some of them might be powered by AI, but most likely a big part of them don't need to be" So when the strategy says "DO MORE AI", probably there is a difficulty in understanding the end-users' real needs 🤔
Data Strategy & Governance Lead @ Thoughtworks Europe | Author of "Humanizing Data Strategy" | TEDx Speaker | Data Musician
2023 taught many companies a lesson this year: “doing more AI” is not a data strategy. A data strategy always starts with a link to the overall business strategy, and by identifying how data capabilities can drive business value in increasing revenue, decreasing costs or avoiding risk. Some of them might be powered by AI, but most likely a big part of them don’t need to be. We often underestimate how powerful some less advanced things like discoverability of data or a good reporting can drive business impact with lower efforts. Start with the WHY, then decide on the WHAT, and only then it’s about the HOW. I see an even bigger focus on improving data foundations next year, and I’m so here for it. Let me know if you need some help. #datastrategy #datagovernance #tiankaistuff
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Transform data into decisions with the NEUZEN AI approach! At NEUZEN AI, our data science journey is an intricate dance of precision and strategy. It's a process that transforms raw, unstructured data into the lifeblood of informed business decisions. Here's a glimpse into our workflow: 1. Data curation: We begin by sifting through the vast digital universe to curate high-quality, relevant data—the foundation of all subsequent analysis. 2. In-depth analysis: Utilizing tools like Jupyter Notebooks, we dive deep into the data ocean, extracting valuable insights through rigorous analysis. 3. Feature engineering: We craft and refine features, sculpting the raw data into a form that machines understand and learn from. 4. Model development: In our advanced experimentation environments, models are trained, honed, and evaluated, ensuring they are robust and reliable. 5. Deployment: Once a model passes our stringent validation protocols, it's deployed, becoming the driving force behind smarter, data-driven decisions. Want to empower your business with NEUZEN AI data science expertise? Let's harness the transformative power of data together. 📩 Reach out to us at [email protected] 🔗 Follow NEUZEN AI for insights into the pulse of AI innovation. #datascience #machinelearning #businessintelligence #innovation
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