Sylvester J.

Can AI predict the future? Check out Courtney Bonner's article on behavioural forecasting and use cases: https://lnkd.in/eaG2efJ #CasinoAI #PredictiveAnalytics #ThrowbackThursday

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Ryan O'Sullivan covers key topics such as model training, validation, calibration and budget optimisation, all using the powerful pymc-marketing python package, in his latest article. Read now! #MachineLearning #DataScience

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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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BREAKING NEWS: Robinson Ryan Launches Data Management Micro-Credential System to Meet Business Demand for Skilled Data Professionals We're proud to be announcing the launch of our new micro-credential system that has been designed to help data professionals at every stage of their career. If you are looking to get started in data management or build upon your existing skills to get ahead then take a look at our courses set to go live in October: ·        Intro to DMBoK (Data Management Body of Knowledge) ·        Getting Started with Data Governance ·        Getting Started with Data Quality ·        Data Management Overview ·        Intensive Data Quality ·        Intensive Data Governance ·        Pitching Data Business Cases - Human Skills for Data Professionals ·        Executive Data Essentials ·        Data Literacy and Capability – Data Skills for your Workforce  Register your interest here: https://lnkd.in/giDChCPV #DataManagement #CDMP #MicroCredentials #CareerGrowth #DataSkills

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🤗 We're still coming down from the high that was Big Data LDN! If you couldn't make it, or were just completely overwhelmed by the overload of talks, we've got you covered! 🧠 We've compiled our top data culture insights, to help you focus on what should be front of mind in your organisation. ⤵ Check out our latest blog and leave us a comment to share which takeaway resonated the most with you! #DataLiteracy #DataCulture #DataBlog #BigDataLDN

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TLF Gems: Why Data Cleaning Matters. This one won't be for everyone, but for some of you it may be a gamechanger. A great mini tutorial from Dr Albert Rapp on tidying up data in R (and if this doesn't float your boat, make sure you check out Albert's other tutorials). "Even if you can get the data into R with {rvest}, it will come in a really messy format. And if you don’t have the right tools to clean that up, you’ll be stuck with cleaning the data before you can even begin to build the table." https://lnkd.in/eSK6ejWb

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In his book Data Juice, Douglas Laney used a Value Compass like the one below to quickly identify what outcomes were achieve from Data Monetisation case studies. How are you highlighting data monetisation outcomes for key stakeholders? #Data #analytics #datamonetisation #datamonetization #outcomes #value

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We've looked into the distribution of data roles within 40 top data teams across analysts, data scientists, data engineering, analytics engineering and machine learning. → The median proportion of people in insights roles is 46%, slightly higher than the 43% in data engineering roles. → These numbers vary significantly by company. Part of this is semantics. Some companies avoid using analysts and refer to everyone as a data scientist. Others have different boundaries for where data and analytics engineers’ work begins and ends. → Larger companies have a higher share of people in machine learning roles. One explanation for this is that they’re more likely to have found product-market fit with their machine learning implementations. https://lnkd.in/dmYD3ytQ

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What is data culture – and why should your organisation care? 💭 We've been re-reading this piece by Ufi-supported Data Literacy Academy, which explores what good data culture looks like and how it benefits your organisation: https://lnkd.in/e2k-TTvk Ufi Ventures invested in Data Literacy Academy in 2023 alongside Haatch and other private EdTech investors #DataLiteracy #VocTech #WorkSkills #EdTech

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What is data culture – and why should your organisation care? 💭 We've been re-reading this piece by Ufi-supported Data Literacy Academy, which explores what good data culture looks like and how it benefits your organisation: https://lnkd.in/e2k-TTvk Ufi Ventures invested in Data Literacy Academy in 2023 alongside Haatch and other private EdTech investors #DataLiteracy #VocTech #WorkSkills #EdTech

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Friday... it's time to spend some time onto learning fundamental things.... Today - we're talking about BigQuery Data Manipulation Language (DML). 📚 Highlights: • Introduction to Data Manipulation Language • Detailed Examples for Inserting, Updating, and Deleting Data in the Tables • Change Data Capture (CDC) and DML 💡 Whether you’re new to data analysis... or looking to enhance your skills, this guide will help you leverage DML and improve data workflows. 📝 Read the full article here: https://www.owox.com/c/5ng #BigQuery #DML #dataanalytics #OWOXBI #GoogleBigQuery #datamanipulation

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Ofgem's P415 modification is fast approaching, due to go live in November 2024. Watch our recent webinar, Optimise for P415, on-demand to understand what this means for energy flexibility and how to prepare for the new modification. 💡 Learn more: https://lnkd.in/eyCEgEKy #P415 #EnergyFlexibility #MachineLearning

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Will you be at Big Data London? Don't miss Andy T., Director of Data & AI at PrimaryBid's session on September 18th at 15:20! 🔥 He'll discuss PrimaryBid's data journey, how they ensure accurate, reliable data across global markets, the value (and challenges) of delivering external data products, and how data observability has played a crucial role throughout PrimaryBid's expansion. Add the session to your calendar: https://lnkd.in/egkUg2-n Learn more here: https://lnkd.in/dTG7h9PP #dataobservability #dataquality #bigdatalondon2024

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𝗛𝗼𝘄 𝗛𝗶𝗿𝗶𝗻𝗴 𝗬𝗼𝘂𝗿 𝗙𝗶𝗿𝘀𝘁 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝗖𝗮𝗻 𝗨𝗻𝗹𝗼𝗰𝗸 𝗖𝗼𝗺𝗺𝗲𝗿𝗰𝗶𝗮𝗹 𝗣𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹👇 At Burns Sheehan, we offer tried and tested advice to our partners and network on the best time to make that critical first Data hire. Opinions vary widely—some start-ups wait too long, burdening their Software Engineers with Data Engineering tasks. This delay can make the eventual transition more challenging. Drawing from recent conversations with Andy Done, we explore the ideal timing and profile for a Data Engineering specialist in a startup. If you're a leader considering this, it's probably time to act! Would love to hear your thoughts on this topic. 📊 Check out our full blog here below. #datainsights #datateams #datahiring #firstdataengineer #datablog #dataengineer

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Bridging the Story Gap between Data & Business! 📊 We're excited to release our data management blog series, featuring insights from 'TELLING YOUR DATA STORY' by SCOTT TAYLOR, The Data Whisperer.    Read Part 1 of this series to learn why data management is the most important, yet overlooked, competency at most enterprises and how to secure funding & support for your projects at https://ow.ly/FE1u50RIbLh   Stay tuned for the upcoming parts!   #DataWisdom #DataManagement #StorytellingWithData

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