AI isn’t the end for data practitioners. Very much the opposite. Barry McCardel, the co-founder and CEO of Hex, is bullish on a new golden era of data teams, because, “There's an infinite demand for insight and an infinite demand for data work.” Barry joins Tristan Handy on the Analytics Engineering Podcast to discuss the hype cycle of data science, how AI is different, the experience of building AI products, and how AI will impact data practitioners. https://lnkd.in/d-hfmisr
Barry McCardel on data science hype
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AI isn’t the end for data practitioners. Very much the opposite. Barry McCardel, the co-founder and CEO of Hex, is bullish on a new golden era of data teams, because, “There's an infinite demand for insight and an infinite demand for data work.” Barry joins Tristan Handy on the Analytics Engineering Podcast to discuss the hype cycle of data science, how AI is different, the experience of building AI products, and how AI will impact data practitioners. https://lnkd.in/d-hfmisr
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I always get a bit overwhelmed by the sheer number of different ways to store data, so I made a little “cheat” sheet to keep myself from madness 😮💨 Amidst all the hype about AI, I think the most important part of any project is its data and the way you interact with it. Before starting to build, you’ll always need to ask yourself first what kind of data you have, where the sources are, do you need to access the data in real-time, how much data, how to process it, and so on and so forth. 🤯 Even with AI, Data Engineering remains the most integral part, and putting effort into it will reward you in the future!
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AI and data science are different from most other forms of product engineering. While most projects adhere to a path of defined milestones, AI needs gigantic upfront investment with little certainty of success until the very end. Unnerving-but this is the paradox that underlies success. In this short video, Kuang Xu, a professor at Stanford GSB, unpacks why AI projects need incremental milestones and a tolerance for ambiguity. For HR and IT professionals who lead transformation, it's a must-watch-a roadmap on how to manage the singular demands of AI with strategic clarity. #DataScience #ArtificialIntelligence #RiskManagement #HRAnalytics #AIProjects #DigitalTransformation #StanfordGSB #HRandIT #OracleHCM https://lnkd.in/enF_hpSG
Class Takeaways—Data Science and AI Strategy
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Ready to step up your data game? View our on-demand webinar to learn how to unleash the power of AI in your data infrastructure. #DataAnalytics #DataStrategy #AI
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Ready to step up your data game? View our on-demand webinar to learn how to unleash the power of AI in your data infrastructure. #DataAnalytics #DataStrategy #AI
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Top-notch mission-integration skills + lifecycle AI-focused programs = SAIC. 💻 💡 In his video, Jay Meil, chief data scientist and VP of #AI & analytics, discusses SAIC role as a mission integrator and how we're expanding lifecycle AI to achieve ultimate mission success for our customers.
SAIC's Jay Meil on Data & AI
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SAIC has you covered when it comes to lifecycle AI-focused programs. Check out the video below to learn how we're integrating all aspects of #AI and #data.
Top-notch mission-integration skills + lifecycle AI-focused programs = SAIC. 💻 💡 In his video, Jay Meil, chief data scientist and VP of #AI & analytics, discusses SAIC role as a mission integrator and how we're expanding lifecycle AI to achieve ultimate mission success for our customers.
SAIC's Jay Meil on Data & AI
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SAIC has you covered when it comes to lifecycle AI-focused programs. Check out the video below to learn how we're integrating all aspects of #AI and #data.
Top-notch mission-integration skills + lifecycle AI-focused programs = SAIC. 💻 💡 In his video, Jay Meil, chief data scientist and VP of #AI & analytics, discusses SAIC role as a mission integrator and how we're expanding lifecycle AI to achieve ultimate mission success for our customers.
SAIC's Jay Meil on Data & AI
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SAIC has you covered when it comes to lifecycle AI-focused programs. Check out the video below to learn how we're integrating all aspects of #AI and #data.
Top-notch mission-integration skills + lifecycle AI-focused programs = SAIC. 💻 💡 In his video, Jay Meil, chief data scientist and VP of #AI & analytics, discusses SAIC role as a mission integrator and how we're expanding lifecycle AI to achieve ultimate mission success for our customers.
SAIC's Jay Meil on Data & AI
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SAIC has you covered when it comes to lifecycle AI-focused programs. Check out the video below to learn how we're integrating all aspects of #AI and #data.
Top-notch mission-integration skills + lifecycle AI-focused programs = SAIC. 💻 💡 In his video, Jay Meil, chief data scientist and VP of #AI & analytics, discusses SAIC role as a mission integrator and how we're expanding lifecycle AI to achieve ultimate mission success for our customers.
SAIC's Jay Meil on Data & AI
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