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Google SRE NYC proudly announces our last Google SRE NYC Tech Talk for 2025.

This event is co-sponsored by sentry.io. Thank you Sentry for your partnership!

Let's farewell 2025 with three amazing interactive short talks on Site Reliability and DevOps topics! As always the event will include an opportunity to mingle with the speakers and attendees over some light snacks and beverages after the talks.

The Meetup will take place on Tuesday, 16th of December 2025 at 6:00 PM at our Chelsea Markets office in NYC. The doors will open at 5:30 pm. Pls RSVP only if you're able to attend in-person, there will be no live streaming.

When RSVP'ing to this event, please enter your full name exactly as it appears on your government issued ID. You will be required to present your ID at check in.

Agenda: Paul Jaffre - Senior Developer Experience Engineer\, sentry.io One Trace to Rule Them All: Unifying Sentry Errors with OpenTelemetry tracing SREs face the challenge of operating reliable observability infrastructure while avoiding vendor lock-in from proprietary APM (Application Performance Monitoring) solutions. OpenTelemetry has become the standard for instrumenting applications, allowing teams to collect traces, metrics, and logs. But raw telemetry data isn't enough. SREs need tools to visualize, debug, and respond to production incidents quickly. Sentry now supports OTLP, enabling teams to send OpenTelemetry data directly to Sentry for analysis. This talk covers how Sentry's OTLP support works in practice: connecting frontend and backend traces across services, correlating logs with distributed traces, and using tools to identify slow queries and performance bottlenecks. We'll discuss the practical benefits for SREs, like faster incident resolution, better cross-team debugging, and the flexibility to change observability backends without re-instrumenting code. Paul’s background spans engineering, product management, UX design, and open source. He has a soft spot for dev tools and loses sleep over making things easy to understand and use. Paul has a dynamic professional background, from strategy to stability. His time at Krossover Intelligence established a strong foundation by blending Product Management with hands-on development, and he later focused on core reliability at MakerBot, where he implemented automated end-to-end testing and drove performance improvements. He then extended this expertise in stability and scale at Cypress.io, where he served as a Developer Experience Engineer, focusing on improving workflow, contribution, and usability for their widely adopted open-source community.

Thiara Ortiz - Cloud Gaming SRE Manager\, Netflix Managing Black Box Systems SREs often face ambiguity when managing black box systems (LLMs, Games, Poorly Understood Dependencies). We will discuss how Netflix monitors service health as black boxes using multiple measurement techniques to understand system behavior, aligning with the need for robust observability tools. These strategies are crucial for system reliability and user experience. By proactively identifying and resolving issues, we ensure smoother playback experience and maintain user trust, even as the platform continues to evolve and gain maturity. The principles shared within this talk can be expanded to other applications such as AI reliability in data quality and model deployments.

Thiara has worked at some of the largest internet companies in the world, Meta and Netflix. During her time at Meta, Thiara found a passion for distributed systems and bringing new hardware into production. Always curious to explore new solutions to complex problems, Thiara developed Fleet Scanner, internally known as Lemonaid, to perform memory, compute, and storage benchmarks on each Meta server in production. This service runs on over 5 million servers and continues to be utilized at Meta. Since Meta, Thiara has been working at Netflix as a Senior CDN Reliability engineer, and now, Cloud Gaming SRE Manager. When incidents occur and Netflix's systems do not behave as expected, Thiara can be found working and engaging the necessary teams to remediate these issues.

Andrew Espira - Platform and Site Reliability Engineer\, Founding Engineer kustode ML-Powered Predictive SRE: Using Behavioral Signals to Prevent Cluster Inefficiencies Before They Impact Production SREs managing ML clusters often discover resource inefficiencies and queue bottlenecks only after they've impacted production services. This talk presents a machine learning approach to predict these issues before they occur, transforming SRE from reactive firefighting to proactive system optimization. We demonstrate how to build predictive models using production cluster traces that identify two critical failure modes: (1) GPU under-utilization relative to requested resources, and (2) abnormal queue wait times that indicate impending service degradation. The SRE practitioners will learn how to extract early warning indicators from standard cluster logs, build ML models that provide actionable confidence scores for operational decisions, and take practical steps to integrate predictive analytics into existing SRE toolchains to achieve 50%+ reduction in resource waste and queue-related incidents This talk bridges the gap between traditional SRE observability and modern predictive analytics, showing how teams can evolve from reactive monitoring to intelligent, forward-looking reliability engineering" Andrew has over 8 years of experience architecting and maintaining large-scale distributed systems. He is the Founding Engineer of Kustode (kustode.com), where he develops cutting-edge reliability and observability solutions for modern infrastructure in the Insurance and health care solutions space. Currently pursuing graduate studies in Data Science at Saint Peter's University, he specializes in the intersection of reliability engineering and artificial intelligence. His research focuses on applying machine learning to operational challenges, with publications in peer-reviewed venues including ScienceDirect. He's passionate about making complex systems more predictable and maintainable through data-driven approaches. When not optimizing cluster performance or building the next generation of observability tools, Andrew enjoys contributing to open-source projects and mentoring early-career engineers in the SRE community.

Our Tech Talks series are for professional development and networking: no recruiters, sales or press please! Google is committed to providing a harassment-free and inclusive conference experience for everyone, and all participants must follow our Event Community Guidelines. The event will be photographed and video recorded.

Event space is limited! A reservation is required to attend. Reserve your spot today and share the event details with your SRE/DevOps friends 🙂

If you work in banking, insurance, or financial services, do consider attending.

To attend: Please enroll here https://luma.com/jz7km6pb

We have an awesome line-up of topics around building AI agents, and a host of open source tools to help level up your AI game including:

• ​Open Leaderboard for Financial LLMs and Agents
• ​When agents act on your behalf: Enterprise Identity Considerations
• ​An Agentic AI Powered Mobile Banking Application with ​Langflow
• ​Unlocking Document Intelligence with ​Docling
• ​​Data Prep Kit : Data Engineering for LLMs ​

​Speakers will include:

• ​Kelly Abuelsaad - Architect & Engineer, AI Platform at IBM
• ​Santosh Borse - Senior Engineer, watsonx Data Engineering at IBM
• ​Gil Isaacs - Software & Cloud Solutions Architect at IBM
• ​Dr Yanglet Liu - SecureFinAI Lab at Columbia University
• ​Kathryn McAvoy – Financial Services Account Technical Leader at IBM
• ​Ming Zhao - Open Technology at IBM

PGConf NYC 2025 (September 29 - October 1, 2025, Convene - 117 W 46th St, New York, NY) is packed with user stories and best practices for how to use PostgreSQL. Join us and connect with other developers, DBAs, administrators, decisions makers, and contributors to the open source PostgreSQL community!

The schedule is now available! You can see the schedule here: https://postgresql.us/events/pgconfus2025/schedule/

PGConf NYC 2025 also has lots of content relevant to how you're running PostgreSQL, including case studies on managing large fleets and workloads on PostgreSQL, how to improve your query performance, hot topics like the intersection of AI and databases and PostgreSQL support for analytics, advanced deployment models, different ways to minimize your downtime, and learning about upcoming PostgreSQL features!

PGConf NYC 2025 is not possible without the generous support of our sponsors. PGConf NYC takes place in one of the largest markets of PostgreSQL users. Your sponsorship lets you connect with decision makers, developers, DBAs, and PostgreSQL contributors, helps keep ticket prices low, and helps grow the PostgreSQL community. For more information on sponsorship, please visit the below link:

https://2025.pgconf.nyc/sponsors/

Can't wait to participate in PGConf NYC 2025? Registration is available: https://2025.pgconf.nyc/tickets/

We look forward to seeing you this fall!

Please RSVP on Luma - https://lu.ma/95a5qys1 DO NOT rsvp here on meetup!

​Join us in NYC for an afternoon of ideas, innovation, and Iceberg. Whether you're building lakehouses at scale or just getting started with Apache Iceberg™, this is your chance to connect with the community, hear from industry leaders, and dive into the latest in open data architectures. ​Expect a packed agenda of technical talks, real-world case studies, and plenty of hallway conversations with fellow engineers, contributors, and data infrastructure folks. ​Date: Thursday, July 10th

​Call For Presentations

​We’re looking for engineers, practitioners, and open-source contributors to share real-world experiences, technical deep dives, and lessons learned with Apache Iceberg. ​Talks should be technical, practical, and 30 minutes in length. ​Submit your CFP here: https://bit.ly/NYC-Iceberg ​Ends on Jun 27 (Friday). We are looking for approximately 5 speakers.

​​Agenda

​3:00 – 4:00 PM: Doors open, refreshments, and casual networking 💬 4:00 – 5:30 PM: Welcome + speaker sessions 🎤 5:30 – 6:00 PM: Break & networking 🕺💃 6:00 – 7:00 PM: More technical talks 🎤 7:00 – 9:00 PM: Happy hour, dinner, and more networking 🥂 ​The event will focus on innovations in Apache Iceberg (https://iceberg.apache.org/) ​We will discuss topics around Open-Source Data Analytics, Open Table Formats (OTF), software concepts like Transactional Data Lakes or Lakehouse, advancements in AI/ML including generative AI, and many more topics of mutual interest that leverage Apache Iceberg. ​During the sessions, we will provide you tips to get involved within the community, you will learn more about how the community is collaborating to grow the technology, and software/solutions that ease problem solving and improve user experiences.

Please RSVP here on Luma.

5:30pm - Networking 6:00pm - TechXChange Dev Day Meetup - Open Source AI in NYC for Developers ​ Agenda will/may include as many as possible of these talks and demos

• ​Granite - Open Source Models - BJ Hargrave & Ming Zhang
• ​Docling - Document processing\, parsing diverse formats - Michele Dolfi
• ​LM Studio - Your local AI toolkit & bringing it all together - Yagil Burowski
• ​Bee AI - Discover\, run\, and compose AI agents from any framework - Shereen Bellamy and Eden Gilbert
• ​LocalStack - Develop and test your AI-powered cloud apps locally - Waldemar Hummer
• ​Panel for Q&A

​7:30pm - Networking

To attend: Please enroll here https://lu.ma/muqvquop

5:30pm - Networking 6:00pm - TechXChange Dev Day Meetup - Open Source AI in NYC for Developers​ Agenda will/may include as many as possible of these talks and demos ​Granite - Open Source Models - BJ Hargrave & Ming Zhang ​Docling - Document processing\, parsing diverse formats - Michele Dolfi ​LM Studio - Your local AI toolkit & bringing it all together - Yagil Burowski ​Bee AI - Discover\, run\, and compose AI agents from any framework - Shereen Bellamy ​LocalStack - Develop and test your AI-powered cloud apps locally - Waldemar Hummer ​Panel for Q&A ​7:30pm - Networking

** Important **: Due to room capacity and building security, it is REQUIRED to register on the event website for admission.

Description: Join us for a 90-minute interactive instructor-led workshop where you'll gain hands-on experience with DeepSeek-R1 on AWS! This session is designed for developers, data scientists, and AI enthusiasts looking to explore fine-tuning Llama models, multi-model AI agents, and real-world AI applications.

What you will learn?

• How to use pre deployed DeepSeek-R1 on AWS;
• Fine-tuning DeepSeek distilled Llama models;
• Rapidly building Multi-model agents.

We will walk through a hands-on use-case in financial services (example) research. Attendees will have access to pre-built solutions, self-help workshops, technical Q&A with AWS AI experts. AWS customers with innovative use-cases, can also be nominated for special AWS programs offering financial and technical support.

Who Should Attend: AWS users interested in evaluating DeepSeek and open-source AI solutions. Priority will be given to those with demonstrated need e.g. addressing a critical innovation or production bottleneck such as latency, cost, model-accuracy or data privacy.

Requirements: Bring your laptop

Venue: AWS NYC Office, JFK-27 HANK, 12 W 39th St, New York, NY 10018, Basement Floor This workshop is hosted by our partner, AWS.

Speakers and Topics: If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Sponsors: We are actively seeking sponsors to support our community. Whether it is by offering venue spaces, providing food/drink, or cash sponsor. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 20,000+ AI developers in New York or 450K+ worldwide.

Local and Global AI Community on Discord Join us on discord for local and global AI tech community:

• Events chat: chat and connect with speakers and global and local attendees;
• Learning AI: events, learning materials, study groups;
• Startups: innovation, projects collaborations, founders/co-founders;
• Jobs and Careers: job openings, post resumes, hiring managers. *

Join PyData NYC at 11 Times Square (Microsoft) on November 13th at 6:30 pm for a talk night with Milan Janosov, Kelly Abuelsaad & Thanos Tatsios. Please bring your 💻 to code along and sign up with your government official name.

🍕 Pizza, drinks & venue sponsored by Microsoft Reactor - thank you!

Agenda: Connecting the Dots - From Network Science to Spatial Analytics Speaker: Milan Janosov (Founder of Geospatial Data Consulting)

Everything is connected - we have heard that many times. In my talk, I aim to outline how the science of connections - network science uncovers and makes these often invisible connections visible. I will touch base on topics like how to use graph analytics on subjects like the Game of Thrones or The Witcher, how to uncover the secret sauce of star DJs, and how the science of cities has recently unfolded, partly powered by networks - all done on a purely Python data stack.

Milan Janosov is a seasoned data scientist with a background in Physics, a PhD in Network and Data Science, and a current focus on Geospatial Data Science. Start-up co-founder, Forbes 30 under 30 entrepreneur, and public educator. Author of the #1 Amazon Best Seller Geospatial Data Science Essentials. His work has been widely featured in professional, scientific, and popular media, including Towards Data Science, Nature Social Science Research, GQ, New Scientist, New York Times, TechXplore, The Economic Times, Gamestar, and more.

Build a local AI co-pilot using open-source Granite Code, Ollama, and Continue Speaker: Kelly Abuelsaad & Thanos Tatsios (IBM) This session introduces the open-source Granite model and how you could use Granite as a co-pilot on your laptop.

Networking Connect with fellow data enthusiasts, professionals, and community leaders. Build meaningful connections and forge collaborations. ---------------------------------------------------------------- Doors open @ 6 pm Doors close @ 7 pm Event @ 6:30 - 8:30 pm Venue provided by MSFT: 11 Times Square ---------------------------------------------------------------- The building requires a government-issued photo ID for entrance. This, and all PyData NYC events, is an all-level event. Newcomers and beginners are welcome. This and all NumFOCUS-affiliated events and spaces, both in-person and online, are governed by a Code of Conduct. ---------------------------------------------------------------- This event may be recorded.

PGConf NYC 2024 (September 30 - October 2, 2024, 237 Park Ave, New York, NY) is packed with user stories and best practices for how to use PostgreSQL. Join us and connect with other developers, DBAs, administrators, decisions makers, and contributors to the open source PostgreSQL community! Register today on the PGConf NYC 2024 website:

https://2024.pgconf.nyc/tickets/

The schedule is now available! You can see the schedule here:

https://postgresql.us/events/pgconfnyc2024/schedule/

PGConf NYC 2024 also has lots of content relevant to how you're running PostgreSQL, including case studies on managing large fleets and workloads on PostgreSQL, how to improve your query performance, hot topics like the intersection of AI and databases, different ways to minimize your downtime, and learning about upcoming PostgreSQL features!

PGConf NYC 2024 is not possible without the generous support of our sponsors. PGConf NYC takes place in one of the largest markets of PostgreSQL users. Your sponsorship lets you connect with decision makers, developers, DBAs, and PostgreSQL contributors, helps keep ticket prices low, and helps grow the PostgreSQL community. For more information on sponsorship, please visit the below link:

https://2024.pgconf.nyc/sponsors/

Can't wait to participate in PGConf NYC 2024? Registration is available:

https://2024.pgconf.nyc/tickets/

We look forward to seeing you this fall!

R-Ladies NYC are excited to be community partners with Data Science Salon NYC to promote their upcoming one-day event. Please note: this event is not free. You must purchase tickets at www.datascience.salon/newyork/

Data Science Salon NYC on June 18th, 2024 is an annual one-day 150 person conference focused on AI and machine learning applications in finance & technology. The intimate event takes place at S&P Global Ratings in Manhattan, New York, NY and brings local industry leaders and specialists face-to-face to educate each other on innovative solutions in artificial intelligence, machine learning, predictive analytics and acceptance around best practices.

Featuring speakers from S&P Global, JP Morgan Chase, CIti, Capital One, Nubank, Federal Reserve Bank of New York, Finder, T. Rowe Price and many more!

You will see a mix of use-cases, technical talks and panel conversations, and you will walk away with actionable insights from those working on the frontlines of machine learning in finance & technology. All sessions are recorded and are available on-demand for two weeks.

The fifth annual Data Science Salon NYC gathers the most diverse community in the data science field, bringing together executives, senior data science practitioners, data science managers, analysts, and engineering professionals. The format includes an optional expo and lots of time for networking in a casual environment with entertainment.

Topics Include:

• Enterprise AI Use Cases in the Finance Sector
• AI Governance
• Natural Language Processing & Deep Learning
• Scalability and LLMOps
• Data Science Teams: Managing, Building, Collaboration
• LLMs in Production
• Generative AI in the Enterprise
• Multilingual LLMs
• Open Source Tools into your workflows
• Designing ML pipelines efficiently
• and much more!

Why attend the DSS NYC experience?

• Meet and connect with the most diverse senior technical community in the space
• Improve your skills in 20+ engaging sessions, including use-cases, technical deep dives, and panel conversations
• Learn from practitioners, technical experts and executives what AI and machine learning mean to finance & technology
• Ask expert speakers questions in live Q&A sessions
• Access all sessions on-demand until two weeks after the event

Grab your spot at www.datascience.salon/newyork/ DSS NYC also offers discounted rates for groups, nonprofits and more.

Please register at the official page here: https://events.databricks.com/FY250522-EV-MosaicSpotlightMeetup-NYC

MosaicX Spotlight is a technical meetup series that focuses on applying the latest GenAI research to business use cases. MosaicX Spotlight NYC will be held at The Times Center, and feature researchers and engineers from Databricks, Databricks Mosaic Research, AI Squared, Patronus AI, Osmo AI, and more! For those who would like to discuss the business around GenAI, we will also be joined by Inspired Capital. Join us as we discuss the research, technologies, and techniques behind how we built DBRX, a leading open-source LLM built completely on Databricks. In addition to discussing how we built it, we've invited key GenAI leaders from the NYC area so we can discuss various aspects of GenAI from performance to reliability. Note that the formalized agenda will be available on May 6th.

Lightning Talks

• Cody Blakeney, Mansheej Paul, Brett Larsen: The importance of high-quality data to build your LLMs
• Mihir Patel: Performance optimization and parallelism for MoE training
• Andrew Drozdov: How to evaluate RAG systems

Panel Discussions

We will have panel discussions around the research and business of Generative AI featuring:

• Jonathan Frankle - Chief Scientist\, Neural Networks\, Databricks
• Benjamin Harvey - Founder & CEO\, AI Squared
• Rebecca Qian - Co-founder & CTO\, Patronus AI
• Alex Wiltschko - Founder & CEO\, Osmo AI
• Claire Pan - Investor\, Inspired Capital
• Ofir Press - Post-doc Princeton

This is a first come, first serve catered event with a capacity for 300 people so please sign up before tickets run out.

Join PyData NYC at 11 Times Square (Microsoft) on May 8th at 6:30 pm for a talk night with Jim Dowling (CEO of Hopsworks) and Eric Bernhardsson (CEO of Modal Labs). Please bring your 💻 to code along and sign up with your government official name!

🍕 Pizza, drinks & venue sponsored by Microsoft Reactor - thank you!

Agenda: Modular AI Systems with Feature, Training, Inference Pipelines on Hopsworks - a LLMOps Tutorial Speaker: Jim Dowling In this tutorial, we will introduce a unified architecture for Batch, Real-Time, and LLM AI Systems based around three independent ML pipelines - * a feature pipeline to create feature data, * a training pipeline to train your model, * and an inference pipeline to make predictions with new data on your trained model. We will use this FTI architecture to walk through a tutorial of building a LLM system that uses RAG and function calling to access structured data and a model.

Jim Dowling is CEO of Hopsworks and an Associate Professor at KTH Royal Institute of Technology. He is lead architect of the open-source Hopsworks Feature Store platform and the organizer of the annual feature store summit. He is writing a book for O'Reilly on Building AI systems with a Feature Store - batch, real-time, and LLMs.

Introduction to Modal Speaker: Erik Bernhardsson Modal's platform empowers data/AI/ML teams to develop faster at lower cost, while scaling production workloads to thousands of CPUs and GPUs.

Networking Connect with fellow data enthusiasts, professionals, and community leaders. Build meaningful connections and forge collaborations.

---------------------------------------------------------------- RSVP is required; please note that walk-ins will not be accepted. Note: Per building policy, RSVPs will close at 12 pm on May 6th. Doors @ 6 pm Event @ 6:30 - 8:30 pm Venue provided by MSFT: 11 Times Square ---------------------------------------------------------------- The building requires a government-issued photo ID for entrance. This, and all PyData NYC events, is an all-level event. Newcomers and beginners are welcome. This, and all NumFOCUS-affiliated events and spaces, both in-person and online, are governed by a Code of Conduct. ---------------------------------------------------------------- This event may be recorded.

NYC Python will be joining PyData NYC at 11 Times Square (Microsoft) on on May 8th at 6:30 pm for a talk night with Jim Dowling (CEO of Hopsworks) and Eric Bernhardsson (CEO of Modal Labs). Please bring your 💻 to code along and sign up with your government official name! 🏢 Venue sponsored by Microsoft Reactor - thank you

⚠️Please RSVP with PyData NYC here: https://www.meetup.com/pydatanyc/events/300430791/

Agenda: Modular AI Systems with Feature, Training, Inference Pipelines on Hopsworks - a LLMOps Tutorial Speaker: Jim Dowling In this tutorial, we will introduce a unified architecture for Batch, Real-Time, and LLM AI Systems based around three independent ML pipelines - * a feature pipeline to create feature data, * a training pipeline to train your model, * and an inference pipeline to make predictions with new data on your trained model. We will use this FTI architecture to walk through a tutorial of building a LLM system that uses RAG and function calling to access structured data and a model. Jim Dowling is CEO of Hopsworks and an Associate Professor at KTH Royal Institute of Technology. He is lead architect of the open-source Hopsworks Feature Store platform and the organizer of the annual feature store summit. He is writing a book for O'Reilly on Building AI systems with a Feature Store - batch, real-time, and LLMs. Introduction to Modal Speaker: Eric Bernhardsson Modal's platform empowers data/AI/ML teams to develop faster at lower cost, while scaling production workloads to thousands of CPUs and GPUs. Networking Connect with fellow data enthusiasts, professionals, and community leaders. Build meaningful connections and forge collaborations. ---------------------------------------------------------------- RSVP is required; please note that walk-ins will not be accepted. Note: Per building policy, RSVPs will close at 12 pm on May 6th. Doors @ 6 pm Event @ 6:30 - 8:30 pm Venue provided by MSFT: 11 Times Square ---------------------------------------------------------------- The building requires a government-issued photo ID for entrance. This, and all PyData NYC events, is an all-level event. Newcomers and beginners are welcome. This, and all NumFOCUS-affiliated events and spaces, both in-person and online, are governed by a Code of Conduct. ---------------------------------------------------------------- This event may be recorded.

Join NYC AI from Scratch for our second speaker series event! We will dive into the cutting-edge world of computer vision, and explore awesome open source tools for working with computer vision datasets.

If you are looking to learn how to train CV models, or are just interested in seeing a demo of how such models learn to see, you won't want to miss this event.

Talk Description Data Curation for Computer Vision Models With a world overflowing with data, how can we find the samples that are going to train a model to the best performance? Join this session to find out how leading Computer Vision Engineers are curating their datasets in order to take their models to the next level. We will cover the basics of topics such as finding annotation mistakes, leveraging image embeddings, comparing model evaluations and more, all using the Open Source tool FiftyOne! We will also take a hands-on look at how computer vision engineers are optimizing their workflows. Come learn why data eats models for lunch!

Join PyData NYC at 1177 Avenue of Americas (IBM) on Feb 8th 6:30 PM for our 2024 kick-off event with James Powell, Chairman of the NumFOCUS Board of Directors.

🍕 Pizza and drinks sponsored by NumFocus!

Agenda: Welcome and Introduction to PyData NYC & NumFocus: 15 mins Speaker: James Powell Overview of the PyData NYC & NumFocus, its mission, and the vibrant ecosystem it fosters. Learn how NumFocus supports and promotes open-source scientific software and the role they play in the data science community. Women in Data Science (WiDS): 15 mins Speaker: Susan Malaika, IBM Generative AI Applied: 15 mins Speaker: Abhishek Upadhyay, Mckinsey & Co. Networking: 30 mins Connect with fellow data enthusiasts, professionals, and community leaders. Build meaningful connections and forge collaborations.

---------------------------------------------------------------- RSVP is required, please note that walk-ins will not be accepted. Note: Per building policy, RSVPs will close at 12 pm on Feb Doors @ 6 pm Event @ 6:30 - 8:30 pm Venue provided by IBM: 1177 Ave of Americas 6th floor ---------------------------------------------------------------- The building requires a government-issued photo ID for entrance. This, and all PyData NYC events, is an all-levels event. Newcomers and beginners are welcome. This, and all NumFOCUS-affiliated events and spaces, both in-person and online are governed by a Code of Conduct. More at https://pydata.org/code-of-conduct/ This event may be recorded.

NYC Python will be joining PyData NYC at 1177 Avenue of Americas (IBM) on Feb 8th 6:30 PM for our 2024 kick-off event with James Powell, Chairman of the NumFOCUS Board of Directors.

⚠️Please RSVP with PyData NYC here: https://www.meetup.com/pydatanyc/events/298766185/

🍕 Pizza and drinks sponsored by NumFocus!

Agenda:

Welcome and Introduction to PyData NYC & NumFocus Speaker: James Powell Overview of the PyData NYC & NumFocus, its mission, and the vibrant ecosystem it fosters. Learn how NumFocus supports and promotes open-source scientific software and the role they play in the data science community.

[Pending] Women in Data Science (WiDS) Speaker: Susan Malaika, IBM

[Pending] Generative AI Use Cases Speaker: Abhishek Upadhyay, McKinsey

Networking Connect with fellow data enthusiasts, professionals, and community leaders. Build meaningful connections and forge collaborations. ---------------------------------------------------------------- RSVP is required, please note that walk-ins will not be accepted. Note: Per building policy, RSVPs will close at 12 pm on Feb 6. Doors @ 6 pm Event @ 6:30 - 8:30 pm Venue provided by IBM: 1177 Ave of Americas 6th floor ---------------------------------------------------------------- The building requires a government-issued photo ID for entrance. This, and all PyData NYC events, is an all-levels event. Newcomers and beginners are welcome. This, and all NumFOCUS-affiliated events and spaces, both in-person and online are governed by a Code of Conduct. More at https://pydata.org/code-of-conduct/ This event may be recorded.

\|\| Please register here to get confirmed and receive the location: https://lu.ma/DevOps-for-GenAI-NYC \|\|

Generative Artificial Intelligence (GenAI) is exciting but fraught with challenges. Let's work together to understand what is needed to bring GenAI into our orgs and make the most out of this once in a generation opportunity.

​The goal of this DevOps for GenAI 'Hackathon' is for DevOps and Platform Engineering professionals to learn what problems their peers are facing when trying to use and deploy Generative AI solutions, and to collaborate together to come up with ideas, best practices and even open source solutions that they can use in their own environment. Examples of problems include keeping training data and models secure, enabling data and model deployment within the constraints of corporate data governance, preventing or reducing the effects of hallucinations, and developing new tools and techniques to face these new challenges. ​ The event will begin with John Willis and Patrick Debois, co-authors of The DevOps Handbook, then Igor Alekseev of Amazon Web Services (AWS), and other participants sharing their GenAI-related challenges with the group, followed by proposals by participants for specific solutions (ideas, best practices or technical solutions) that can be worked on at the event, and ending in presentations of solutions by participants.

​If you work for a company that wants to move fast but carefully so as NOT to break things, then this is the event for you. We hope to see you on January 24th in NYC.

​​Spots are limited, and you must be both apply AND be approved to attend. Apply here: https://lu.ma/DevOps-for-GenAI-NYC

​​​Benefits - The goal is learning through collaboration. Everyone will share in the benefits of the collaboration.

​​Agenda

• 9:30 am - Registration & Networking
• 10:00 am - Welcome & Introductions
• 10:20 am - Lightning Talks - GenAI-related challenges
• --- John Willis & Patrick Debois\, co-authors of The DevOps Handbook
• --- Igor Alekseev of AWS - "MongoDB Atlas on AWS"
• 11:00 am - Solution Proposals - Ideas, best practices & projects
• 11:30 am - Form Teams
• 12:00 pm - Teams begin working
• 12:30 pm - Lunch is served
• 4:00 pm - Submission Deadline
• 4:30 pm - Present Solutions
• 5:30 pm - Happy Hour

Hosts: This hackathon is hosted by MongoDB and AWS ​Sponsors: Special thanks to our participating partners and friends for their help in this first-of-its-kind event.

Location New York, NY. Please register via Luma to see the exact location of this event.

Join us for an evening of networking and exploration at our kickoff meeting for NYC AI from Scratch Mastermind! This interactive event is perfect for AI and machine learning enthusiasts, open-source contributors, and entrepreneurs looking to explore the potential of artificial intelligence in business. All are welcome regardless of experience with AI, as long as you have an eagerness to learn.

In this meetup, we will delve into the revolutionary world of AI, both its theory and its practical applications. Our expert speakers will provide insights into different algorithms, tools, and areas of application. Whether you are new to AI or already have experience, this event will offer something for everyone.

Our first event will provide some context for how we've found ourselves here in 2024: we'll give a whirlwind history of AI, explain what models and technologies are encompassed by AI, explain in broad strokes how it works, and give an overview of the movers and shakers in the world of AI today. And we will discuss where AI is poised to go in the coming year, and the role it could play in your life soon.

Additionally, this meetup provides an excellent opportunity for entrepreneurs to connect with like-minded individuals and exchange ideas on how to leverage AI for business growth. You'll have the chance to network with professionals from various industries and explore potential collaborations or mentorship opportunities. We will also discuss some options for more intensive learning for those who are looking to learn AI in-depth for career or academic purposes, by joining our learning accountability study group.

Don't miss this opportunity to learn, connect, share, and grow alongside fellow AI enthusiasts and industry leaders at the kickoff meeting. Join us to gain valuable insights, expand your network, and stay ahead in the fast-evolving world of artificial intelligence and machine learning.

📣📣 Attention Airflow Users and Big Data Professionals 📣📣

Come join us at Ramp's offices for a special meetup on the power of AI + Airflow!

***PLEASE NOTE, VERY IMPORTANT*** To attend this meetup, please register here. Registration for this meetup will not be open on this page.

AGENDA

• 6:00 PM-6:30: Eat, Drink and Network!
• 6:30 PM-8:00 PM: Presentations!
• 8:00 PM- 8:30 PM: Eat more, drink more, and network!

SPEAKERS Julian LaNeve, CTO at Astronomer From Prototype to Production: Solving Data Engineering Challenges with Airflow in Ask Astro

• Prototyping an LLM application is easy, but taking it to production is a lot more challenging. You'll face many typical data engineering challenges, which is exactly what Airflow was designed to solve! Join Astronomer as they talk about Ask Astro, an open-source question-answering LLM application across a variety of document sources. You'll learn how to create a retrieval augmented generation (RAG) application, including data ingestion and storage, prompt orchestration, and feedback loops.

Josiah Parappally, Software Engineer at Ramp Maximizing Customer Experience with LLM: Innovations in Support Ticket Onboarding

• Josiah Parappally will present challenges faced by new customer experience agents during onboarding, driven by the complexity of support tickets. He'll discuss strategies like using summaries, macros, and Airflow as an LLM tool, along with OpenSearch for categorization. The talk aims to enhance agent onboarding by streamlining support ticket resolution through innovative tools and techniques.

Sam Braun, Member of the Technical Staff at Cohere Co:lineage: Tracking Metadata and Lineage across LLM Training Datasets

• LLMs use datasets from a wide variety of sources in their training runs. How can we keep track of the metadata, lineage, and lifecycle information associated with these datasets? Sam will walk through co:lineage, a library built at Cohere to answer these questions. He'll discuss why we use both an event-driven architecture and Airflow for computing and collecting this metadata, and how we use Airflow jobs to monitor the integrity of our metadata store.

Pre-registration is required for admission: https://www.aicamp.ai/event/eventdetails/W2023092114 (Venue security may not let you in if you don't pre-register at the link above)

Description: Keras Community Day is a series of events focused on Keras and machine learning, led by machine learning communities around the world. It aims to provide a platform for knowledge sharing, networking, and collaboration, focusing specifically on Keras, a powerful open-source deep learning framework.

Participants will have the unique opportunity to dive deep into the world of Keras, discover its latest advancements, and explore the transformative applications of AI. Topics including:

• Intro to Keras Core
• Embracing the Multi-backend Future with Tensorflow
• Modular NLP Workflows with KerasNLP
• AI Image Generation with Stable Diffusion using KerasCV

Whether you are a beginner seeking an introduction to Keras or an experienced practitioner looking to enhance your skills, this event will cater to all levels of expertise.

Agenda:

• 5:00pm\~6:00pm: Checkin, food and networking
• 6:00pm\~7:30pm: Tech talks
• 7:30pm: Open discussion and Mixer

Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Partners/Sponsors: We are actively seeking sponsors to support our AI developers community. Sponsors will receive speaking opportunities, sponsor recognition, and post-event emails to our vast membership base of 20k+ in NYC or 250K+ developers in global.

Community on Slack - Event chat: chat and connect with speakers and attendees - Sharing blogs\, events\, job openings\, projects collaborations Join Slack (search and join the #nyc channel)