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Data Engineers London returns in May at Bunch of Grapes pub at London Bridge!

This time, we will be learning about data quality agents and anomaly detection. Our speakers this month will be sharing with you what they learned from building data quality agents as well as showing you how to set up anomaly monitoring for IoT systems.

Details of the evening are as follow:

Agenda: 6pm: Networking

6:30pm: Insights & Lessons from building a data quality agent. Petr Janda, CEO & Founder at SYNQ Petr's LinkedIn

7:00pm - 7:10pm: Break

7:10pm - 7:50pm: Detecting Anomalies in Real-Time: ML Meets IoT on Raspberry Pi. Suyash Joshi, Senior Developer Advocate at InfluxData Suyash's LinkedIn

7:50pm onwards: Further networking at Bunch of Grapes for anyone who would like to stay on!

RSVP on Meetup. Thank you to SYNQ for helping us make this event happen.

Happy Networking!

Livestream: https://us02web.zoom.us/j/81333292495?pwd=a7jkTBDha8mw4zNnmpBUAnREpvfGzZ.1

In Person Form: https://forms.gle/pYCfEWG34if4vdvc8 ***

MLOps London is back again in January 2025 with talks on all things ML. The plan, as usual, is to run another hybrid event so please come along in person if you're local or need an excuse to travel to London, or join us live otherwise.

⚠️ Those joining in person will be required to fill out the attendee form for our venue: https://forms.gle/pYCfEWG34if4vdvc8

AGENDA: ⏱️ 6:00 pm onwards - Arrival and networking ⏱️ 6:30 pm - Kick off and welcome with Alex Housely (Founder at Seldon)

🎙️ Speakers

Harnessing Time Series Data for MLOps: Anomaly Detection, Forecasting, and LLM Applications with Suyash Joshi, Senior Developer Advocate at InfluxData.

This talk will explore:

• How to use time series databases like InfluxDB for monitoring, anomaly detection, and forecasting in MLOps,
• Using Facebook’s Prophet for forecasting and Isolation Forest for detecting anomalies in real-time metrics,
• How Large Language Models (LLMs) can analyze events and identify unusual patterns to enhance cybersecurity and application monitoring, and
• See a live code demo showcasing real-time anomaly detection, forecasting trends, and analyzing events and metrics with time series data on InfluxDB (available on GitHub)

Efficient NLP: Fine-Tuning Small Language Models Using Azure with Ben Keen, Data Science Manager, Microsoft.

While large language models aim for advanced AI and run in huge data centers, small language models are designed for efficient use on devices like phones, laptops and even wearables. In this presentation we’ll cover how to use Microsoft Azure’s robust infrastructure and machine learning platform to fine-tune these models, how to evaluate and improve on them. We’ll cover some real world example projects where we’ve deployed these models and discuss how you can deploy them too. Small language models make advanced AI accessible to everyone, everywhere. Unlock their full potential with Azure!

More Speaker Announcements Coming Soon!

Hi JavaScript London,

We're thrilled to host our third meet-up of the year 😃

We'll be gathering at their awesome King's Cross office.

Expect some fantastic tech talks, 🍕 pizzas, and 🍻 drinks, plus plenty of networking with fellow tech enthusiasts. Don't miss out on a night of great conversations and new connections!

IMPORTANT: YOU MUST REGISTER FOR BUILDING ENTRY, PLEASE GO TO https://www.javascriptlondon.com/ AND SELECT "REGISTER FOR NEXT EVENT" - We have added a much-requested new feature to the website that should see you get a pop-up confirmation once you have registered.

Talks: 1st Talk - Suyash Joshi - Smart Home Automation with Node-RED, Raspberry Pi, and InfluxDB

2nd Talk - Paul Braganza - Unleashing the Power of Chrome DevTools: Master Debugging & Supercharge Web Performance.

3rd Talk - Richard Moss - LLM application architectures and observability with LangSmith

Full agenda: 6:00 PM: Doors Open. Grab a pizza slice, sip a beer, and start chatting with other attendees.

6:30 PM: Welcome remarks by Sam and Richard. We'll set the stage for an enriching night of learning and fun.

6:35 PM – 7:00 PM: First talk

7:05 PM: Second talk

7:30 PM: Toilet break

7:40: Third talk

8:00 PM: Closing remarks and an optional pub visit.

Directions to Checkatrade: Located a 5 minutes walk from King's Cross Station the address is: Focus Point, 21 Caledonian Road, London, N1 9GB

Sponsor: Checkatrade

Checkatrade is an online directory and review platform that connects consumers with vetted and approved tradespeople for various home improvement and repair services in the UK. It allows users to search for professionals in their area, view customer reviews, and ensure the quality and reliability of the tradespeople they hire. The platform aims to provide peace of mind to consumers by offering a trusted source for finding reputable service providers.

Details

Venue: Riverbank House, 2 Swan Ln, London EC4R 3AD - IMPORTANT: LOCATION UPDATED! Please note:

1. 🚨🚨🚨A valid photo ID is required by building security. 🚨🚨🚨
2. This event follows the NumFOCUS Code of Conduct, please familiarise yourself with it before the event.

If your RSVP status says "You're going" you will be able to get in. No need to show your RSVP confirmation when signing in. If you can no longer make it, please unRSVP as soon as you know. *** Code of Conduct: This event follows the NumFOCUS Code of Conduct. Please get in touch with the organisers with any questions or concerns regarding the Code of Conduct. *** As always, there'll be free food & drinks, generously provided by our host, Man Group. ***

Main Talks

Building a Gesture-Controlled Arduino Robot and Python Suyash Joshi

Delve into the realm of robotics with a hands-on exploration of a gesture-controlled robotic powered by Arduino and Python. This talk will cover the fundamentals of human-robot interaction using computer vision gestures, providing practical insights into setting up and controlling a robotic arm. Attendees will learn to integrate TensorFlow for gesture recognition and utilize a time-series database for real-time telemetry and analytics. The session will also include a live demonstration, allowing participants to interact with the robotic arm, and offer access to open-source code on GitHub for further experimentation.

Building trip itinerary planner with RAG Pearl Prakash

Learn to create a smart trip itinerary planner using Retrieval-Augmented Generation (RAG), blending data retrieval and generative AI for efficient and personalized travel plans.

⚡ Lightning Talks 1️⃣ Abstractly reasoning - failing with an LLM Ian Ozsvald 2️⃣ TBC

Logistics Doors open at 6.30 pm (get there early as you have to sign-in via building security), talks start at 7 pm, drinks from 9 pm in the bar. We will have reduced capacity for this event but there will be plenty of people to discuss data science questions with! Please unRSVP in good time if you realise you can't make it. We're limited by building security on the number of attendees, so please free up your place for your fellow community members! Follow @pydatalondon (https://twitter.com/pydatalondon) for updates and early announcements.