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Hear talks from experts on cutting-edge topics in AI, ML, and computer vision!

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When and Where

July 16 5:30-8:30 PM

Paris Marriott Opera Ambassador Vendôme Meeting Room 16 Bd Haussmann

Building and working with Small Language Models

This session focuses on practical techniques for using small open-source language models (SLMs) in enterprise settings. We'll explore modern workflows for adapting SLMs with domain-specific pre-training, instruction fine-tuning, and alignment. Along the way, we will introduce and demonstrate open-source tools such as DistillKit, Spectrum, and MergeKit, which implement advanced techniques crucial for achieving task-specific accuracy while optimizing computational costs. We'll also discuss some of the models and solutions built by Arcee AI. Join us to learn how small, efficient, and adaptable models can transform your AI applications.

About the Speaker

Julien Simon, the Chief Evangelist at Arcee.ai, is dedicated to helping enterprise clients develop top-notch and cost-efficient AI solutions using small language models. With over 30 years of tech experience, including more than a decade in cloud computing and machine learning, Julien is committed to daily learning and is passionate about sharing his expertise through code demos, blogs, and YouTube videos. Before joining Arcee.ai, he was Chief Evangelist at Hugging Face and Global AI Evangelist at Amazon Web Services. He also served as a CTO at prominent startups.

Accelerating sustainable inference with Pruna AI

This talk explores how to make AI faster and more sustainable. We’ll look at the high costs and carbon impact of fine-tuning and self deploying models, and show how optimization techniques available in the Pruna library can reduce size and latency with little to no quality loss.

About the Speaker

Gabriel Tregoat is the software lead at Pruna.ai, a specialist company on model inference optimisation with an open source library called “pruna”. He previously was a leader for AI in production at Ekimetrics, and started his career as a data scientist and ml-engineer at Shell Energy. He’s passionate about tech, code and new technologies.

Visual Agents: What it takes to build an agent that can navigate GUIs like humans

We’ll examine conceptual frameworks, potential applications, and future directions of technologies that can “see” and “act” with increasing independence. The discussion will touch on both current limitations and promising horizons in this evolving field.

About the Speaker

Harpreet Sahota is a hacker-in-residence and machine learning engineer with a passion for deep learning and generative AI. He’s got a deep interest in RAG, Agents, and Multimodal AI.

What I Learned About Systematic AI Improvement

Most AI teams go through the same story: fast early progress, and then suddenly things slow down. The AI isn’t broken, but new changes don’t seem to help, and it’s not even clear how to tell if things are getting better. I’ve faced this plateau myself—both in my own work and while helping other teams. In this talk, I’ll share what I’ve learned about getting unstuck: how to build genuine confidence in your AI, what “trust” really means in practice, and practical steps to move from “it kind of works” to “this is actually improving.” My goal is to give you real-world ideas you can use when you hit the same wall.

About the Speaker

Louis Dupont is an AI engineer with over eight years of experience developing AI solutions across multiple industries. Currently, he work directly with companies to build and deploy AI internally, and as a consultant specializing in helping teams overcome common roadblocks in AI development.

I’m doing things a bit differently for this episode of Experiencing Data. For the first time on the show, I’m hosting a panel discussion. I’m joined by Thomson Reuters’s Simon Landry, Sumo Logic’s Greg Nudelman, and Google’s Paz Perez to chat about how we design user experiences that improve people’s lives and create business impact when we expose LLM capabilities to our users. 

With the rise of AI, there are a lot of opportunities for innovation, but there are also many challenges—and frankly, my feeling is that a lot of these capabilities right now are making things worse for users, not better. We’re looking at a range of topics such as the pros and cons of AI-first thinking, collaboration between UX designers and ML engineers, and the necessity of diversifying design teams when integrating AI and LLMs into b2b products. 

Highlights/ Skip to 

Thoughts on how the current state of LLMs implementations and its impact on user experience (1:51)  The problems that can come with the "AI-first" design philosophy (7:58)  Should a company's design resources be spent on go toward AI development? (17:20) How designers can navigate "fuzzy experiences” (21:28) Why you need to narrow and clearly define the problems you’re trying to solve when building LLMs products (27:35) Why diversity matters in your design and research teams when building LLMs (31:56)  Where you can find more from Paz, Greg, and Simon (40:43)

Quotes from Today’s Episode

“ [AI] will connect the dots. It will argue pro, it will argue against, it will create evidence supporting and refuting, so it’s really up to us to kind of drive this. If we understand the capabilities, then it is an almost limitless field of possibility. And these things are taught, and it’s a fundamentally different approach to how we build user interfaces. They’re no longer completely deterministic. They’re also extremely personalized to the point where it’s ridiculous.” - Greg Nudelman (12:47) “ To put an LLM into a product means that there’s a non-zero chance your user is going to have a [negative] experience and no longer be your customer. That is a giant reputational risk, and there’s also a financial cost associated with running these models. I think we need to take more of a service design lens when it comes to [designing our products with AI] and ask what is the thing somebody wants to do… not on my website, but in their lives? What brings them to my [product]? How can I imagine a different world that leverages these capabilities to help them do their job? Because what [designers] are competing against is [a customer workflow] that probably worked well enough.” - Simon Landry (15:41) “ When we go general availability (GA) with a product, that traditionally means [designers] have done all the research, got everything perfect, and it’s all great, right? Today, GA is a starting gun. We don’t know [if the product is working] unless we [seek out user feedback]. A massive research method is needed. [We need qualitative research] like sitting down with the customer and watching them use the product to really understand what is happening[…] but you also need to collect data. What are they typing in? What are they getting back? Is somebody who’s typing in this type of question always having a short interaction? Let’s dig into it with rapid, iterative testing and evaluation, so that we can update our model and then move forward. Launching a product these days means the starting guns have been fired. Put the research to work to figure out the next step.” - (23:29) Greg Nudelman “ I think that having diversity on your design team (i.e. gender, level of experience, etc.) is critical. We’ve already seen some terrible outcomes. Multiple examples where an LLM is crafting horrendous emails, introductions, and so on. This is exactly why UXers need to get involved [with building LLMs]. This is why diversity in UX and on your tech team that deals with AI is so valuable. Number one piece of advice: get some researchers. Number two: make sure your team is diverse.” - Greg Nudelman (32:39) “ It’s extremely important to have UX talks with researchers, content designers, and data teams. It’s important to understand what a user is trying to do, the context [of their decisions], and the intention. [Designers] need to help [the data team] understand the types of data and prompts being used to train models. Those things are better when they’re written and thought of by [designers] who understand where the user is coming from. [Design teams working with data teams] are getting much better results than the [teams] that are working in a vacuum.” - Paz Perez (35:19)

Links

Milly Barker’s LinkedIn post Greg Nudelman’s Value Matrix Article Greg Nudelman website  Paz Perez on Medium Paz Perez on LinkedIn Simon Landry LinkedIn

We are happy to host this meetup together with the London Java Community.

As always, this event will allow for insightful discussions on the latest in Graph Technology. Don't miss this opportunity to connect with fellow Java enthusiasts and explore cutting-edge developments in Java technology.

Agenda 18:00 - 18:30 Welcome/Snacks 18:30 - 19:00 Session 1: Simon Maple 19:00 - 19:30 Session 2: Gerrit Meier 19:30 - 19:45 Q&A 19:45 Networking/Drinks

Session 1: On the Path to AI Native Development: Live coding applications with Attended and Autonomous AI Dev Tools - Simon Maple\, Founding Developer Relations from Tessl

Join this live coding session to explore how developers can leverage AI tools, like Copilot, Claude 3.5 Projects, Cursor, and more. We will explore what it looks like to build applications today and how this could change in the future. As we build our demo application we'll discuss how these tools can be integrated into your daily routines and consider the axes of change and trust influencing their adoption within your workflow. This session is designed for developers looking to understand and adopt AI's growing role in software development.

About Simon: Simon Maple is the Founding Developer Advocate at Tessl, previously the Field CTO, and VP Developer Relations at Snyk, ZeroTurnaround, and IBM. He has been a Java Champion since 2014, JavaOne Rockstar speaker in 2014 and 2017, Duke’s Choice award winner, Virtual JUG founder and organiser, and London Java Community co-leader. He is an experienced speaker, having presented at most large conferences in the Java and Security spaces

Session 2: Neo4j for Java Devs: What's in the box? - Gerrit Meier\, Neo4j

Getting started with Neo4j instance and the Java ecosystem has never been easier than it is today. Be it Spring, Quarkus, or just the plain Java driver, get the latest update on our provided tooling and support in the Java ecosystem. Manually writing database statements in plain Strings can be error-prone, that's why we created our CypherDSL. We will have a ride from a basic driver example to a full object mapping supported enterprise application. Also, we will discuss on how to maintain, develop and evolve your database by using Neo4j-Migrations.

Let's also explore this option by taking advantage of already existing frameworks to stay focussed on your business code. In the end, you can decide for yourself what abstraction and use-case is right for you to get started with a graph database.

About Gerrit: As a software engineer at Neo4j Gerrit is developing the Neo4j Object Graph Mapper (OGM) and the Spring Data Neo4j (SDN). He is always looking for new things to learn and tries to make the world better by sharing knowledge and ideas. Not only because of that he is a leader of his local Java User Group.

Unlock the full potential of DuckDB with 'Getting Started with DuckDB,' your guide to mastering data analysis efficiently. By reading this book, you'll discover how to load, transform, and query data using DuckDB, leveraging its unique capabilities for processing large datasets. Gain hands-on experience with SQL, Python, and R to enhance your data science and engineering workflows. What this Book will help me do Effectively load and manage various types of data in DuckDB for seamless processing. Gain hands-on experience writing and optimizing SQL queries tailored for analytical tasks. Integrate DuckDB capabilities into Python and R workflows for streamlined data analysis. Understand DuckDB's optimizations and extensions for specialized data applications. Explore the broader ecosystem of data tools that complement DuckDB's capabilities. Author(s) Simon Aubury and Ned Letcher are seasoned experts in the field of data analytics and engineering. With extensive experience in using both SQL and programming languages like Python and R, they bring practical insights into the innovative uses of DuckDB. They have designed this book to provide a hands-on and approachable way to learn DuckDB, making complex concepts accessible. Who is it for? This book is well-suited for data analysts aiming to accelerate their data analysis workflows, data engineers looking for effective tools for data processing, and data scientists searching for a versatile library for scalable data manipulation. Prior exposure to SQL and programming in Python or R will be beneficial for readers to maximize their learning.

Hardly any day goes without mention of Copilot - Generative AI assistant from Microsoft! M365UK is proud to host all sessions on Copilot from field experiences to experimental learning! Join us online for free on Microsoft Teams and bring your questions!

Agenda (UK Time): 16:00-16:10 - Welcome & Introductions

16:10-17:00 - The real ROI of Copilot (for Microsoft 365) - Pieter Op De Beéck MVP (Belgium) "$30" ... What's the first thing you hear when talking about Copilot for Microsoft 365's pricing? Right ... "What is its ROI?" (Return on Investment). Don't be fooled by some finance-magicians out there. It is not just a simple 'back of the napkin' calculation that will answer this question. It is much more complicated than that! I was one of the lucky ones to use Copilot since August 2023. Based on personal experiences and a many discussion with (potential) customers, today, I will take you through a very good approach to calculate the ROI of Copilot for Microsoft 365. Is it worth it? Let's find out!

17:00-17:10 - Break

17:10-18:00 - Custom Copilots in Microsoft 365 - The Options - Simon Doy MVP (UK) The Microsoft Copilots are hot stuff right now! In particular, Copilot for Microsoft 365. However, the real value is delivering Custom Copilots that provide specific workplace capabilities, hooking into work systems and more. There are lots of options but how do you know which one to go for? In this talk, we discuss the terminology, disseminate the options, be brutally honest about what is working and what is not right now, and talk about the pros and cons of each. There will be some demos and hopefully, I can fit in all in time for questions too!

18:00 - Finish

Speaker Profiles: Pieter Op De Beéck MVP, Trusted Advisor (Microsoft 365), The Flow Consulting, Belgium I'm a consulting professional with over 17 years of relevant experience in the field of information management. I'm truly passionate about bridging the gap between IT and business, and gain energy-boosts from translating business requirements into technical solutions. "Hands-on" is my middle name as I love trying out new technical possibilities, particularly in the Microsoft 365 domain. I try not to hold back bringing newly, gained knowledge and experience to the table and spread myfindings with 'the community' - you can decide for yourself whether or not this label suits you. 😎

Simon Doy MVP, Founder, iThink 365, UK With a background as a Microsoft 365 / Azure Solution Architect, Simon has been organising the Leeds-based M365 North User Group since September 2014. A proud core member of the Maturity Model for Microsoft 365 since July 2020 he has been helping businesses and consultants understand the true value and impact that Microsoft 365 can have on businesses. Hooked on SharePoint in July 2006. Since then he has been building large-scale solutions using SharePoint and Microsoft 365 for customers in the Finance, Healthcare, Government and Entertainment industries. Recently he has been struggling to stay in his lane and loves, Development, consulting, and a bit of IT Pro too.

🚨 👉 NEW DATE 6 FEB 👈🚨 🎉 We are thrilled to announce that PyData Südwest is hosting its first-ever meetup at Innovation Park Artificial Intelligence (IPAI) in Heilbronn! 🎉

Agenda 18:00 Doors open 18:30 Welcome - Alexander CS Hendorf 18:45 Transform Your Business: A Roadmap to Being Data-Driven with Data Ops - Simon Pressler 19:15 Data Versioning with LakeFS and LakeFS-Spec - Max Mynter & Jan Willem Kleinrouweler 19:45 🍻 🍕 🕸️ Break: Networking with snacks and beverages 20:30 My Data Stays Here! Implementing AI Assistants in a Data-Saving Way - Hans-Peter Zorn 21:00 Networking with snacks and beverages 21:30 End

Lightning Talks ⚡️😬 No LTs this time!

How to sign up for on site It's important for us to make this meet up happen in a responsible way. We have limited seats available only. No limits to sign up remotely!

How to join remotely Join the live stream on YouTube.

The event is in English. This event was moved from 24 Jan due to the train strike. ---- Talk #1 📈🐛➡🦋🚀 Transform Your Business: A Roadmap to Being Data-Driven with Data Ops" Simon Pressler (Königsweg AI) Many organizations ask themselves: do we have a data treasure? - how can we find out and how do we start? In the current data-centric business environment, this question becomes increasingly relevant. Drawing from extensive experience in the field, this talk addresses those who are enthusiastic about data yet may find themselves at the outset of their journey, or uncertain about navigating their path to success. DataOps, an interdisciplinary field seamlessly integrates data analysis, software development, and system operations. This session aims to provide clarity and direction for unlocking the potential of your data assets, marking the beginning of a transformative expedition into effective data utilization.

Simon is a Data Scientist holds a Master's Degree in Comparative and International Studies from ETH-Zürich and a Master's in Data Science from the University of Mannheim. Outside of his professional life, Simon is passionate about long-distance hiking, a pursuit that showcases his dedication and resilience

Talk #2 ⚙️📈 Data Versioning with LakeFS and LakeFS-Spec Max Mynter & Jan Willem Kleinrouweler (appliedAI Institute for Europe) Data versioning, essential for reproducible Machine Learning, involves maintaining and accessing various versions of data sets over time. This talk highlights LakeFS, a tool enabling Git-like versioning in data lakes, and LakeFS-Spec, a Python library developed by appliedAI Institute for Europe. LakeFS-Spec, compatible with FSSpec-supported packages like Pandas, allows intuitive LakeFS interactions and offers advanced features like client-side caching and direct file system operations.

Max is an MLOps engineer at appliedAI Institute for Europe. He has a background in Physics and Social Sciences, spent some time as a visiting scholar at UC Berkeley’s School of Information, and had previous stints as a Data Scientist at an energy-tech start-up and at Allianz Global Investors as a Quantitative Risk Analyst. Jan Willem is the Head of ML Engineering at appliedAI Institute for Europe. He received his PhD in Computer Science from the VU University Amsterdam. Before joining appliedAI, he worked as applied researcher and portfolio manager in the fields of media delivery, mobile networks, edge computing, and IoT.

Talk#3 🛡️🤖 My Data Stays Here! Implementing AI Assistants in a Data-Saving way Hans-Peter Zorn (inovex) ChatGPT has become an integral part of many people's professional lives. Nevertheless, many companies are reluctant to provide their employees with enterprise chat solutions. In this talk, I will demonstrate various ways in which such a service can be implemented in a data-saving and data protection-compliant manner. Be it through a private endpoint in the Azure Cloud or open source models under your own control.

Hans-Peter works as Head of AI and CTO at inovex to help customers overcome their challenges - sometimes with the help of AI. He studied computational linguistics in Heidelberg and computer science at KIT. He then spent a long time working on speech dialog systems, natural language processing and big data architectures.

A big thank you to our sponsors:

• appliedAI Institute for Europe, for hosting the meetup.
• KÖNIGSWEG, for supporting the organization.

Contact

• Want to speak? Submit a talk here.
• Interested in hosting an event? Here's our Info-Deck & contact to the organisers!

Join us for an evening of insightful discussions and networking as we dive deep into the world of database management and performance optimization. This event brings together experts in the field to share their knowledge and experiences on topics ranging from distributed SQL database fundamentals to efficient MySQL infrastructure management.

Agenda:

• 17:30 - 18:00: Networking
• 18:00 - 18:40: Introduction to TiDB (Mattias Jonsson) - Mattias Jonsson, Senior Database Engineer at PingCAP, with over 15 years of experience in MySQL, will introduce you to TiDB, a distributed SQL database.
• 18:45 - 19:10: The Paranoid TiDB Version Upgrader's Guide (Leandro Morgado) - Leandro Morgado\, Senior MySQL DBA at Bolt\, will provide insights into upgrading TiDB with a focus on availability\, performance\, and security.
• 19:15 - 19:30: Break
• 19:35 - 20:15: Automation to Run MySQL at Scale at Booking.com (Simon) - Simon\, a Senior Site Reliability Engineer at booking.com\, will share his experiences in automating MySQL at scale\, showcasing how Booking.com manages its MySQL infrastructure efficiently.
• 20:15 - 20:30: Networking

Why you should attend:

• Introduction to TiDB: Gain insights into TiDB, a distributed SQL database, and its applications. Understanding distributed databases is crucial for scalability and performance improvements.
• TiDB Version Upgrading Guide: Learn best practices for upgrading TiDB while ensuring availability, performance, and security. Discover how to navigate the complexities of version upgrades with confidence.
• Automation Strategies: Explore automation techniques for managing MySQL at scale. Understand the importance of automation in maintaining database efficiency and reliability, especially in large-scale operations. Real-World Experiences: Hear from experienced professionals who have worked with MySQL and distributed SQL databases in real-world scenarios. Their insights and practical knowledge can help you apply these concepts in your own projects.

Complete your event RSVP here: https://gdg.community.dev/events/details/google-gdg-london-presents-generative-ai-workshop/.

Generative AI (GenAI) is a rapidly growing field that is changing how we interact with the world. GenAI models can create new and innovative content, such as images, text, and code.

Through this quest (series of labs), you will learn about how to use the models in the Vertex AI PaLM API family, including text-bison, chat-bison, and textembedding-gecko. You will also learn about prompt design, best practices, and how it can be used for ideation, text classification, text extraction, text summarisation, and more. You will also learn how to tune a foundation model by training it via Vertex AI custom training and deploying it to a Vertex AI endpoint.

The workshop will be hosted on Cloud Skills Boost, which is a Google Cloud training platform formerly known as Qwiklabs. The workshop requires credits, and access will be granted and confirmed by email.

Agenda

5:30 PM: Registration

6:00 PM: Generative AI Workshop

8:00 PM: Closing Remarks

Speaker

Gerard Sans

Gerard loves helping Developers to succeed using Web, Cloud, AI and Web3 technologies. He is very excited about the future of the Web and JavaScript. Always happy Computer Science Engineer and humble GDE. He loves to share his learnings by giving talks, training and writing about cool technologies. He loves running Web3 London, GraphQL London, GraphQL San Francisco, mentoring students and givi…

Hosted By

Renuka Kelkar, GDG Organizer

Ivelina Doynova, GDG Organizer

Sumith Damodaran, PM / GDG Organizer

Jai Campbell, Senior Architect / GDG Organizer

Chris Bouloumpasis, GDG Organizer

Bhaarat Chetty, Team Volunteer

Goran Minov, GDG Organizer

Simon Lightfoot, Co-Organiser (Flutter London)

Pranav Nagarajan, Pursuing Bachelors in Electronic Engineering

Complete your event RSVP here: https://gdg.community.dev/events/details/google-gdg-london-presents-generative-ai-workshop/.

Are you ready to make your mark in the Firebase Builders'23 Competition? Look no further! In partnership with Invertase, the genius minds behind Firebase Extensions, we're thrilled to bring you an exclusive workshop that will set you on the path to victory.

Join us on August 11th from 6:00 pm to 7:30 pm (GMT) for an immersive session led by the brilliant minds behind the AI & Firebase Extensions. Darren, a distinguished Lead Developer at Invertase, And that's not all! Meet Mais, the trailblazing Open Source Engineer at Invertase and a Flutter Google Developer Expert.

During this workshop, you'll uncover invaluable insights into acing the Firebase Builder Competition. Gain hands-on knowledge, discover insider tips, and elevate your skills to create outstanding Firebase Extensions. Whether you're a seasoned developer or just starting out, this workshop is your ticket to success!

Hosted by a prominent GDG organizer from the UK, this event promises to be an evening of inspiration and growth. Don't miss out on this golden opportunity to learn from the best in the field and propel yourself towards Firebase Builders'23 victory. Mark your calendars, set your alarms, and join us on August 11th for an unforgettable experience!

📅 Date: August 11th

⏰ Time: 6:00 pm - 7:30 pm (GMT)

📍 Location: Online

🎟️ Registration:

Secure your spot today and embark on your journey to Firebase greatness!

Agenda

6:00 PM: Registration

👋 Welcome and Introduction Get ready to dive into the world of Firebase Extensions! Our esteemed hosts will kick off the workshop with a warm welcome and set the stage for an engaging and informative session.

6:15 PM: Firebase Builders - Workshop on Extensions

🌟 Meet the Experts: Darren and Mais Learn about the brilliant minds behind the AI & Firebase Extensions. Learn about Firebase extension and how and where to use extension in your application.

7:15 PM: Q&A

Q&A and Networking Engage with our experts in a lively Q&A session. This is your chance to clarify doubts, seek advice, and connect with fellow participants. Make the most of this interactive opportunity!

Hosted By

Renuka Kelkar, GDG Organizer

Sumith Damodaran, PM / GDG Organizer

Jai Campbell, Senior Architect / GDG Organizer

Chris Bouloumpasis, GDG Organizer

Bhaarat Chetty, Team Volunteer

I am passionate about enabling people and creating an impact. Experienced in building developer communities and outreach partnerships. I like to believe I am a solutionist and I make sense of very abstract problems in the areas of Developer Communities and access by designing/implementing scalable high-impact programs.

Goran Minov, GDG Organizer

Simon Lightfoot, Co-Organiser (Flutter London)

💙 Flutter Community Lead •💙 Flutter Study Group •👨‍💻 Coding for 20+ years •🏢 CTO DevAngels, London •👍🏻 #Flutter #Android #GoLang • he/him • 🏳️‍🌈 🇬🇧

Pranav Nagarajan, Pursuing Bachelors in Electronic Engineering

Co-lead of GDG Southampton as well as an aspiring and self-driven Second year Electronic Engineering student pursuing to study and conceptualize electronic systems that are constantly evolving day-to-day. Persevering to gaining insight into new and existing technology, with exposure to a multi-national educational environment having done schooling in India and China.

Complete your event RSVP here: https://gdg.community.dev/events/details/google-gdg-london-presents-firebase-builders-workshop-on-extensions/.

HighlightsBeatport’s Top 100 chart keeps highlighting the latest music in the club world, and today, we’re doing aSpecial artist deep-dive into a Norwegian producer who found streaming success in a far-off land called...SeattleMissionGood morning, it’s Jason here at Chartmetric with your 3-minute Data Dump where we upload charts, artists and playlists into your brain so you can stay up on the latest in the music data world.DateThis is your Data Dump for Friday March 29th 2019.ChartsBeatport.com is the go-to electronic music marketplace for professional DJs around the world so they can make people dance. With over 60K suppliers and labels, 450K customers and 35M unique annual visitors, Beatport is a B2B business at its core: providing high quality downloads so DJs can fill their sonic arsenal.It also provides a weekly Top 100 chart that essentially becomes an up-to-date soundtrack to what clubbers are getting down to globally.For the week ending March 22nd, “Inside My Head” by UK-based duo Audiojack took the #1 most purchased download for the second week in a row spending 10 days on the chart. Spinnin’ Records had the most tracks with 4, including a David Guetta and Tom Staar track, while legendary London-based Ministry of Sound Recordings had 2.While you may see some familiar Top 40 names such as Childish Gambino in the #3 spot or Calvin Harris & Rag’n’Bone Man at #5, the Beatport Top 100 is really an anti-pop serum: nearly half the chart’s tracks have 4-minute-plus run times, zero tracks directly releasing into the chart and nearly ⅔ of the list spending less than a week on the chart themselves...meaning lots of track turnover, and lots of opportunities for emerging artists with great dance music.Artist Highlight in the NewsHere’s an interesting case of streaming’s global nature at its finest: Norway-based house producer Simon Field found unexpected attention in Seattle upon the release of his track “Shake the Tree” on January 25th.Field, who sports a 53 Spotify Popularity Index score and 385K monthly listeners despite having only 10K followers, is an example of an emerging artist that organically over-indexes their stream count in a particular city for an unknown reason.Upon “Shake the Tree”’s release, it found a snug spot in the #62 position of the 90-track New Music Friday playlist for that week, which then seemed to feed playlist adds within 24 hours on no less than 20 mid-tier playlists ranging from 10 to 80K followers.While Sony-owned playlist curator Filtr UK’s “Dance All Night” was among these lists, Field had no major label support in the release, and yet from Feb 21st to March 20th saw a 455% increase in monthly listeners in Seattle, peaking at 7.4K.Virtually mirroring Field’s rise in Seattle however, a certain mid-tier playlist called “CloudKid” by the curator of the same name added “Shake the Tree” with 98K followers…..adding the track on Feb 16th, and removing it on March 21st, after which day Field saw an immediate decrease in Spotify listener growth in Seattle after a month long increase.Coincidence? Possibly, except for the fact that CloudKid is an influential electronic music label & curator who came up on YouTube, with a channel influencing 2.9M subscribers with over 906M total views.While the connection between Seattle and CloudKid’s audience is still unclear, the data suggests at the minimum an appreciation of mid-tier, five-digit follower count playlists helping propagate new music.And at its best, Field may have a unique case of cross-platform success where a veteran YouTube curator’s side hustle (or here, a Spotify playlist) gave an unknowing artist streaming success thousands of miles away.Playlist Round-Up (none)OutroThat’s it for your Daily Data Dump for Friday March 29th 2019. This is Jason from Chartmetric, if you’re enjoying the podcast, hit that subscribe button so you get the latest episodes at the earliest time.And if you feel like you missed something, you can get full show notes at: chartmetric.transistor.fm/episodes.Have a great weekend, see you Monday!