Morgan McGuire

You can't impose order on a complex adaptive system at the macro scale. The underlying behaviours will eventually bring it back to its strange attractor ("homeostatis") - the old order. We have to change the underlying behaviours. Macro changes start on the micro scale. More bluntly: lasting change happens bottom-up, not top-down.

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The REAL business value is in YOUR DATA, AI is simply a[nother] tool to realise that value I’ve delivered "AI" projects that have a 10x return on investment, other projects that have saved £1m in their first year. The thing they have in common… The real value was in the data Getting the data, cleansing the data, providing consistent views over the data, and enabling the business to access and analyse it easily all had significant value “AI” was simply one of the tools that were also provided. #businessstrategy #ai #genai #businessvalue #strategy #datastrategy #data

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We have ONE final open role at Pod: ⚙️ Senior #ML Engineer In the words of our current ML lead Guillaume: “Stop bugging me for a quote, we just need someone who gets LLMs and wants to build cutting edge stuff”. Appy here 👉 https://lnkd.in/d6cezyzK Tag/forward to someone you know! #Pod #salesai #hiring #ai #salescoaching

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Wondering how to evaluate and improve your RAG response quality? Follow the Verta team this week to learn all about RAG evals and join our #ragathon later this week! #rag #evaluation

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Benn Stancil latest post on dbt hits close to heart. 🥲 In parts because I remember ‘winging it’ myself whilst building an entire warehouse amount of dbt models. I had some medallions to follow, ideas for encapsulating logic, but other than it was wild west sql slinging. But also through our work with reconfigured v1 where we tried to enforce an auto-generated-yet-exposed-to-the-eyes framework for building core data models. It solved the spaghetti issue for sure, but it really didn’t address the underlying problems. Recommend the read. :-) https://lnkd.in/dmBcPhyA

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🧭TL;DR: The Business Trinity Compass🧭 We've broken down the Business Trinity Compass into a concise summary, perfect for those on-the-go moments. In less than 1000 words, learn how to visualise roles, projects, and objectives using core components: Operations, Education, and Strategy. 🔗 Read the TL;DR now: https://lnkd.in/e5m6-pWf Potential Uses: Career Management Tool: Plan your career path. Time Management Tool: Allocate time effectively. Project Planning Tool: Scope and assess projects. Stay tuned for more TL;DR posts to get impactful insights in just a few minutes! #BusinessTrinityCompass #QuickReads #BusinessInsights #TheTechniciansMBA #CareerGrowth #ProjectManagement #ProfessionalDevelopment #Innovation #Leadership #SubscribeNow

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Let us help you with teasing data pain points in early stages of your business journey.

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Fresh out of the oven 🔥 Rudol now supports Databricks! Classify, Document and massively Validate the Quality of your Databricks data, now available in all our Plans (including the Free tier 😁).
 Try now at http://rudol.ai

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Are you an experienced Data Engineer who digs Databricks? ❤️🧱 Our current Databricks experts have a lot on their plates, and they (and we all ofc) would be very happy to welcome new members to the team! As a Data Engineer at Recordly, you get to work hands-on with data. Didn't see that one coming, huh? 😏 In all seriousness, though, you would be at the core of helping our customers capitalize on the opportunities data offers 🎯 You would also be a key player in _our_ growth journey: Recordly focuses on data architectures and data engineering that enable exceptional user experiences, efficiency gains, and new business models. In simple terms, we tech the heck out of data. Apply 👉 https://lnkd.in/dSURGJri #hiring #dataengineer #businessdata

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What if you want to leverage the power of a Databricks cluster while enjoying the development experience in your beloved IDE, Integrated Development Environment, instead of the Databricks workspace? Well, for all the IDE lovers there is something called Databricks Connect. In this Medium blog post Stefanie Turelinckx will introduce you to Databricks Connect and show you step by step how to set it up! #databricks #IDE #Terraform #DatabricksConnect

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Today we’re excited to put a spotlight on our integration with Databricks again which has had a small makeover over the last couple of months 🎉 As before, Data teams can now trigger and monitor Databricks jobs in the context of an entire DAG - whether that’s also loading data into S3 using custom code, Fivetran, dbt (on Delta) or even Hightouch at the end of the flow: Orchestra has you covered. New: Orchestra also adds more functionality where Databricks workflows leaves off, like support for native data quality testing and out the box and fully customisable alerting for slack, teams and email. It’s not just robust and effortless orchestration that you get with our Databricks integration. Using Orchestra also gives you: 🔺 Full stack observability and metadata 🔺 🔺End to end lineage (with data assets*) 🔺 🔺Actionable Data Products 🔺 And incredible ALERTING to go with VISIBILITY of the entire stack Read more below: 👉👉 https://lnkd.in/exhb7JF8 * with dbt and Coalesce #dataengineering #dataorchestration #sql #spark

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Better operational clarity isn't just about removing the number of data assets your business is consuming. It's also about using better visualisation paradigms to put data into context and give a better holistic overview of what's really going on in your business. Below is a very simple sales analysis which one of our customers built with their finance team to give a better overview of funnel performance. (Don't worry the data is anonymised...) This report shows 22 different metrics and includes row level detail of every lead in the funnel. Everything is instantly contextualised by its position on the canvas. Does this report include every single possible dimension you could imagine? No. Did it drive a lightbulb moment for the sales team? Yes. Sometimes (in fact, increasingly very often), less is more.

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The power of combining data sources A question I get asked daily: (and keep seeing on LinkedIn etc.) "What is the best contact data source?" My usual response: Where are your prospects located? What companies do they work at? Which industry do they work in? 99% of the times their answer is: ”It’s a mix of everything” And that’s what most don’t get. (experienced that through a lot trial & error): Every data source has a different strength/focus. One might be better in country A. While the other is stronger in a certain industry. That’s why it doesn’t make sense to only use one of them. Using all of them is where the magic can be found. This method is called ‘waterfall enrichment’. (we productized that at BetterContact more than a year ago) Are you using a similar approach? 👇

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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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*** Data Scientist - £65k - London (3x days a week in office) *** - An awesome data-driven start-up with one of the most comprehensive data sets in the UK - real estate sector (we're talking some serious data points!!). - Very strong leadership team in place and an established team working on a number of varied and complex machine learning projects - Forecasting experience necessary - Making good use of Large Language Models too! #machinelearning #GenAI #hiring #datascience #AI

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If you're looking to build internal data apps, but can't yet stomach the recurring SaaS cost - especially relevant for data-centric early-stage startups... Would highly recommend taking a look at https://streamlit.io/ - a Python framework for data apps 🐍 Can deploy on GCP Cloud Run, or your preferred cloud platform, and away you go. Clean interactive front end, using Python only. For larger teams, I would definitely be looking at the likes of Count (data canvas pioneers) and Hex - but at this stage, Streamlit on Cloud Run is working very nicely 👌 #DataScience #DataEngineering #DataOps #Startups

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