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Title & Speakers	Event
ML & GenAI in Production: Building Efficient and Reusable Data Architectures 2025-03-27 · 16:30 In our upcoming meetup, we'll explore best practices in MLOps, ensuring robust and automated workflows, and discuss the latest advancements in Generative AI for real-world applications. Whether you're optimizing data pipelines, scaling AI models, or navigating the transition from experimentation to production, this event will provide valuable insights from industry experts. Between presentations, you will have the opportunity of networking and meeting data enthusiasts at the Netlight office, food and drinks will be served. Agenda: 17:30 - 18:00: Doors open 18:00 - 18:10: Welcome 18:10 - 18:40: Navigating the Intersection of MLOps and GenAI: A Comparative Exploration 18:40 - 19:10: Break 19:10 - 19:40: Building LEGO Castles Instead of Sandcastles: A Tale of Modularity in Data & ML Systems 19:40 - 20:30: Networking – Presentations: Navigating the Intersection of MLOps and GenAI: A Comparative Exploration Per Hedbrant - Consultant, Netlight Martti Yap - Consultant, Netlight In this presentation, we'll embark on a journey through the evolving landscapes of MLOps and GenAI architectures. Drawing from extensive experience in data engineering and machine learning, coupled with hands-on work in the emerging field of GenAI, we will provide insights into the fundamental differences and similarities between these two domains. We'll delve into the core components of a mature MLOps platform, highlighting processes like data preparation, model training, and deployment. Then, we'll contrast these with the emerging architecture of GenAI, exploring concepts of observability, guardrails, and model evaluation techniques. This talk aims to equip you with a deeper understanding of where the focus lies in MLOps—emphasizing operational efficiency and model lifecycle management—and in GenAI—highlighting the demands of AI-driven solutions in production. Whether you're a student, a newly minted professional, or a seasoned expert, this session will provide valuable perspectives on integrating these technologies into your workflow, fostering both operational robustness and creative AI capabilities. Speakers Bio: Per Hedbrant is a Netlight consultant with a strong background in data engineering and machine learning, currently engaged in advancing Generative AI solutions. Passionate about bridging the gap between traditional ML operations and cutting-edge AI innovations, Per is dedicated to unleashing business value through building AI products and teams. Martti Yap is a Netlight consultant, with a background in data science and ML. He is currently developing generative AI capacities for industry enterprises. Martti thrives best where evolving business needs meet advanced technological solutions. He enjoys sparking interest and promoting knowledge sharing throughout organizations and teams. Building LEGO Castles Instead of Sandcastles: A Tale of Modularity in Data & ML Systems Anton Gollbo - Data/ML Engineer, Netlight Building reliable and scalable machine learning systems is challenging, especially when workflows rely on fragile, tightly coupled scripts and notebooks. These "sandcastle-like" systems—where every component depends on the exact state of the whole—break easily, slowing down iteration and making debugging painful. Without clear modularity, small changes can cause unintended failures, leading to rigid, hard-to-maintain pipelines that don't scale well. To address this, we shift towards a LEGO-like approach, where ML systems are built from small, interchangeable, and testable components. By designing modular pipelines with well-defined boundaries—such as independent data processing, feature engineering, model training, and evaluation steps—our goal is to create flexible and reusable workflows. This talk explores the journey from tightly coupled systems to composable architectures, showing how modular design enables faster iteration, greater reliability, and long-term scalability in ML development. Speakers Bio: Anton is a consultant at Netlight, bringing extensive experience from data and machine learning projects. His professional journey has taken him through various stages of the data and ML lifecycle, cultivating an interest in constructing systems that are both data-intensive and designed for easy testing and modularity. – About the event Date: March 27th , 17:30 - 20:30 Location: Netlight Consulting AB, Regeringsgatan 25, 111 53 Stockholm. Directions: At the entrance, take the staircase and you will find the reception desk where one of the hosts will welcome you and give more information about the venue. Tickets: Sign up required. Anyone who is not on the list will not get in. The event is free of charge. Capacity: Space is limited to 100 participants. If you are signed up but unable to attend, please change your RSVP by March 26th. Food and drinks: Food and drinks will be provided. Questions: Please contact the meetup organizers. – Code of Conduct The NumFOCUS Code of Conduct applies to this event; please familiarize yourself with it before attending. If you have any questions or concerns regarding the Code of Conduct, please contact the organizers.	ML & GenAI in Production: Building Efficient and Reusable Data Architectures
PyData Trójmiasto #33 (Hapag-Lloyd venue) 2025-03-26 · 17:00 We are welcoming you to join 33rd edition of PyData Trójmiasto meetup! This time the event will be held at Hapag-Lloyd Knowledge Center venue - we're very thankful for such an opportunity and recommend you to join us as well! When: 26th of March, at 18:00 (6PM) Where: Hapag-Lloyd Knowledge Center, Al. Grunwaldzka 413 Registration info - important! Number of seats is limited to 50. Please provide your full first and last name and email address while registering for the event, here on meetup. In case of any urgent changes please leave us a note via [email protected] . Don't forget to bring your ID for the security check. Agenda: 18:00 - 18:05 - Meeting boarding 18:05 - 18:10 - A few words about PyData 18:10 - 18:50 - Building RAG Systems for Enterprises by Mateusz Hordyński 18:50 - 19:35 - Unlocking Efficiency: AI-Driven Email Classification for Salesforce Customer Support by Michał Papaj & Marek Blok 19:35 - Finger food! & Networking About "Building RAG Systems for Enterprises" Operationalizing Retrieval-Augmented Generation (RAG) systems at scale presents unique challenges, including the need for seamless integration, customization, and adaptability to diverse organizational requirements. Let's discuss lessons we've learned from deploying these solutions, explore essential tools every RAG developer should have at their disposal, and identify common pitfalls to avoid. I'll also explain why we've decided to open-source ragbits—our collection of foundational building blocks for GenAI applications. Mateusz Hordyński - bio I'm a software engineer who specializes in creating big data architectures for both cloud and on-premises setups. Currently, I'm a Technical Leader at deepsense.ai, where I design generative AI applications and build data pipelines to support them. I'm also the lead maintainer of the open-source project db-ally. Outside of work, I try to live the digital nomad lifestyle, which has taught me how to work remotely from some pretty weird office setups. About "Unlocking Efficiency: AI-Driven Email Classification for Salesforce Customer Support" As the shipping and logistics industry continues to adopt artificial intelligence to enhance operational efficiency, companies like Hapag-Lloyd are exploring innovative applications of AI to automate tasks, optimize logistics, and improve customer support. This presentation begins with a brief introduction to the AI initiatives that Hapag-Lloyd is engaged in, followed by a case study on one of the key areas of focus for our company which is the efficient classification of the high volume of emails we receive daily. This classification task is crucial for effective customer support in Salesforce (SF) but our current setup struggles with accurate classification of emails, leading to performance problems. Our analysis of internal data reveals significant imbalances in classes distribution, performance differences across areas and languages, and the need for improved data preprocessing. The limitations of Salesforce's built-in classification models, including the lack of preprocessing, limited training case selection, and blackbox models, led us to explore the development of a custom model. We will present our adventure towards development of an improved custom AI-driven email classification model, including the creation of a ground truth dataset and leveraging BERT. Our results show promising improvements in classification accuracy, and we will discuss our plans for integrating our custom model with Salesforce. Michał Papaj - bio Michał Papaj is a Data Scientist at Hapag-Lloyd. His current focus is on vessel schedule maintenance, although he has been involved in a range of AI projects over the past two years. Prior to joining Hapag-Lloyd, Michal worked at Intel, where he contributed to the development of speech-to-text solutions. He holds a Ph.D. in the area of Digital Signal Processing. Marek Blok - bio Marek Blok is a Data Scientist at Hapag-Lloyd, who for almost two years has been developing AI solutions for berth load prediction and customer email classification. Prior to joining Hapag-Lloyd, Marek worked at the Gdańsk University of Technology, where he completed a PhD and DSc in Digital Signal Processing, with a focus on standard and ML-aided digital signal processing and analysis of telecommunication signals. See you at PyData!	PyData Trójmiasto #33 (Hapag-Lloyd venue)
AI Meetup (March): GenAI, LLMs and Agent 2025-03-25 · 21:00 Important RSVP here (Due to room capacity and building security, you must pre-register at the link for admission.) Description: Welcome to GenAI meetup in New York City. Join us for deep dive tech talks on AI, GenAI, LLMs and ML, hands-on workshops, food/drink, networking with speakers and fellow developers. Tech Talk: How to build an agentic workflow Speaker: Haven King (Cloud Architect, Orkes) Abstract: Managing complex workflows in autonomous systems poses significant challenges as they scale. This talk explores strategies for optimizing agent-based architectures, where multiple agents interact and adapt in dynamic environments. Key topics include: 1) Distributed decision-making and coordination; 2) Bottlenecks; 3) Adaptive workflow reconfiguration and resilience; and 4) Real-world applications. Tech Talk: AI Monetization: A Practical Guide to Unlock Value and Profitability Speaker: Eva Dong (Google) Abstract: AI is revolutionizing industries, but many organizations struggle to translate their AI investments into measurable business value. In this session, Eva Dong, Lead of AI Monetization at Google Cloud, will demystify AI monetization and provide a practical framework for unlocking value while optimizing costs. Speakers/Topics: 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 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 and 500K+ worldwide.	AI Meetup (March): GenAI, LLMs and Agent
AI Meetup (March): AI, GenAI and ML 2025-03-25 · 18:00 Important RSVP HERE (Due to room capacity and venue security, it is required to pre-register at the link for admission) Welcome to the AI meetup in London. Join us for deep dive tech talks on AI, GenAI, LLMs and machine learning, food/drink, networking with speakers and fellow developers. Tech Talk: What you need to know about AI factories Speaker: Matt Shore (High Performance Computing & Artificial Intelligence) Abstract: As organisations start to move from proof of concept to production, they need to consider how to build their infrastructure from the ground up to be completely optimised for the next wave of AI’s requirements. From data to power and space, HPE will provide a whistlestop tour of the latest thinking across the AI stack, as well as what it means for each type of role in the organisation. Tech Talk: Accessing and building with open-source models Speaker: Darin Verheijke (Recursal ai) Abstract: In this session, I will discuss the recent improvements of open-source LLM models, the difficulties in running these open-source models for yourself/your company, how you can easily access and make use of all these open-source models through Hugging Face and Featherless.ai and demo some self-made open-source applications for every developer to use. Speakers/Topics: 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 Sponsors:** We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. 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 London and 500K+ worldwide.	AI Meetup (March): AI, GenAI and ML
AI Meetup (March): Generative AI and Train ML Models For Responsible AI 2024-03-20 · 21:00 Important RSVP here (Due to room capacity and building security, you must pre-register at the link for admission) Description: Welcome to our in-person AI meetup in New York. Join us for deep dive tech talks on AI, GenAI, LLMs and ML, hands-on workshops, food/drink, networking with speakers and fellow developers. Tech Talk: End-to-End Development of Generative AI applications on Azure Speaker: Nitya Narasimhan (Microsoft) Abstract: In this talk we’ll introduce the core concepts for building a “copilot” application on Azure AI from prompt engineering to LLM Ops – using the Contoso Chat application sample as a reference. And we’ll explore the Azure AI Studio (preview) platform from a code-first perspective to understand how you can streamline your development from model exploration to endpoint deployment, with a unified platform and workflow. Tech Talk: Train & Debug your ML Models For Responsible AI on Azure Speaker: Ruth Yakubu (Microsoft) Abstract: In this talk you will learn to train an AI model using the Azure Machine Learning Studio, then use its built-in Responsible AI Dashboard capability to debug your model for performance, fairness and responsible AI usage. Speakers/Topics: 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 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 300K+ worldwide. Community on Slack/Discord** Event chat: chat and connect with speakers and attendees Sharing blogs, events, job openings, projects collaborations Join Slack/Discord (scroll down to the bottom) *	AI Meetup (March): Generative AI and Train ML Models For Responsible AI

ML & GenAI in Production: Building Efficient and Reusable Data Architectures 2025-03-27 · 16:30

In our upcoming meetup, we'll explore best practices in MLOps, ensuring robust and automated workflows, and discuss the latest advancements in Generative AI for real-world applications. Whether you're optimizing data pipelines, scaling AI models, or navigating the transition from experimentation to production, this event will provide valuable insights from industry experts.

Between presentations, you will have the opportunity of networking and meeting data enthusiasts at the Netlight office, food and drinks will be served.

Agenda:

17:30 - 18:00: Doors open 18:00 - 18:10: Welcome 18:10 - 18:40: Navigating the Intersection of MLOps and GenAI: A Comparative Exploration 18:40 - 19:10: Break 19:10 - 19:40: Building LEGO Castles Instead of Sandcastles: A Tale of Modularity in Data & ML Systems 19:40 - 20:30: Networking

–

Presentations:

Navigating the Intersection of MLOps and GenAI: A Comparative Exploration Per Hedbrant - Consultant, Netlight Martti Yap - Consultant, Netlight

In this presentation, we'll embark on a journey through the evolving landscapes of MLOps and GenAI architectures. Drawing from extensive experience in data engineering and machine learning, coupled with hands-on work in the emerging field of GenAI, we will provide insights into the fundamental differences and similarities between these two domains.

We'll delve into the core components of a mature MLOps platform, highlighting processes like data preparation, model training, and deployment. Then, we'll contrast these with the emerging architecture of GenAI, exploring concepts of observability, guardrails, and model evaluation techniques.

This talk aims to equip you with a deeper understanding of where the focus lies in MLOps—emphasizing operational efficiency and model lifecycle management—and in GenAI—highlighting the demands of AI-driven solutions in production. Whether you're a student, a newly minted professional, or a seasoned expert, this session will provide valuable perspectives on integrating these technologies into your workflow, fostering both operational robustness and creative AI capabilities.

Speakers Bio: Per Hedbrant is a Netlight consultant with a strong background in data engineering and machine learning, currently engaged in advancing Generative AI solutions. Passionate about bridging the gap between traditional ML operations and cutting-edge AI innovations, Per is dedicated to unleashing business value through building AI products and teams.

Martti Yap is a Netlight consultant, with a background in data science and ML. He is currently developing generative AI capacities for industry enterprises. Martti thrives best where evolving business needs meet advanced technological solutions. He enjoys sparking interest and promoting knowledge sharing throughout organizations and teams.

Building LEGO Castles Instead of Sandcastles: A Tale of Modularity in Data & ML Systems Anton Gollbo - Data/ML Engineer, Netlight

Building reliable and scalable machine learning systems is challenging, especially when workflows rely on fragile, tightly coupled scripts and notebooks. These "sandcastle-like" systems—where every component depends on the exact state of the whole—break easily, slowing down iteration and making debugging painful. Without clear modularity, small changes can cause unintended failures, leading to rigid, hard-to-maintain pipelines that don't scale well. To address this, we shift towards a LEGO-like approach, where ML systems are built from small, interchangeable, and testable components. By designing modular pipelines with well-defined boundaries—such as independent data processing, feature engineering, model training, and evaluation steps—our goal is to create flexible and reusable workflows. This talk explores the journey from tightly coupled systems to composable architectures, showing how modular design enables faster iteration, greater reliability, and long-term scalability in ML development.

Speakers Bio: Anton is a consultant at Netlight, bringing extensive experience from data and machine learning projects. His professional journey has taken him through various stages of the data and ML lifecycle, cultivating an interest in constructing systems that are both data-intensive and designed for easy testing and modularity.

–

About the event

Date: March 27th , 17:30 - 20:30 Location: Netlight Consulting AB, Regeringsgatan 25, 111 53 Stockholm. Directions: At the entrance, take the staircase and you will find the reception desk where one of the hosts will welcome you and give more information about the venue. Tickets: Sign up required. Anyone who is not on the list will not get in. The event is free of charge. Capacity: Space is limited to 100 participants. If you are signed up but unable to attend, please change your RSVP by March 26th. Food and drinks: Food and drinks will be provided. Questions: Please contact the meetup organizers.

–

Code of Conduct The NumFOCUS Code of Conduct applies to this event; please familiarize yourself with it before attending. If you have any questions or concerns regarding the Code of Conduct, please contact the organizers.

ML & GenAI in Production: Building Efficient and Reusable Data Architectures

PyData Trójmiasto #33 (Hapag-Lloyd venue) 2025-03-26 · 17:00

We are welcoming you to join 33rd edition of PyData Trójmiasto meetup!

This time the event will be held at Hapag-Lloyd Knowledge Center venue - we're very thankful for such an opportunity and recommend you to join us as well!

When: 26th of March, at 18:00 (6PM)
Where: Hapag-Lloyd Knowledge Center, Al. Grunwaldzka 413
Registration info - important!

Number of seats is limited to 50. Please provide your full first and last name and email address while registering for the event, here on meetup. In case of any urgent changes please leave us a note via [email protected] . Don't forget to bring your ID for the security check.

Agenda: 18:00 - 18:05 - Meeting boarding 18:05 - 18:10 - A few words about PyData 18:10 - 18:50 - Building RAG Systems for Enterprises by Mateusz Hordyński 18:50 - 19:35 - Unlocking Efficiency: AI-Driven Email Classification for Salesforce Customer Support by Michał Papaj & Marek Blok 19:35 - Finger food! & Networking

About "Building RAG Systems for Enterprises" Operationalizing Retrieval-Augmented Generation (RAG) systems at scale presents unique challenges, including the need for seamless integration, customization, and adaptability to diverse organizational requirements. Let's discuss lessons we've learned from deploying these solutions, explore essential tools every RAG developer should have at their disposal, and identify common pitfalls to avoid. I'll also explain why we've decided to open-source ragbits—our collection of foundational building blocks for GenAI applications.

Mateusz Hordyński - bio I'm a software engineer who specializes in creating big data architectures for both cloud and on-premises setups. Currently, I'm a Technical Leader at deepsense.ai, where I design generative AI applications and build data pipelines to support them. I'm also the lead maintainer of the open-source project db-ally. Outside of work, I try to live the digital nomad lifestyle, which has taught me how to work remotely from some pretty weird office setups.

About "Unlocking Efficiency: AI-Driven Email Classification for Salesforce Customer Support" As the shipping and logistics industry continues to adopt artificial intelligence to enhance operational efficiency, companies like Hapag-Lloyd are exploring innovative applications of AI to automate tasks, optimize logistics, and improve customer support. This presentation begins with a brief introduction to the AI initiatives that Hapag-Lloyd is engaged in, followed by a case study on one of the key areas of focus for our company which is the efficient classification of the high volume of emails we receive daily. This classification task is crucial for effective customer support in Salesforce (SF) but our current setup struggles with accurate classification of emails, leading to performance problems. Our analysis of internal data reveals significant imbalances in classes distribution, performance differences across areas and languages, and the need for improved data preprocessing. The limitations of Salesforce's built-in classification models, including the lack of preprocessing, limited training case selection, and blackbox models, led us to explore the development of a custom model. We will present our adventure towards development of an improved custom AI-driven email classification model, including the creation of a ground truth dataset and leveraging BERT. Our results show promising improvements in classification accuracy, and we will discuss our plans for integrating our custom model with Salesforce.

Michał Papaj - bio Michał Papaj is a Data Scientist at Hapag-Lloyd. His current focus is on vessel schedule maintenance, although he has been involved in a range of AI projects over the past two years. Prior to joining Hapag-Lloyd, Michal worked at Intel, where he contributed to the development of speech-to-text solutions. He holds a Ph.D. in the area of Digital Signal Processing.

Marek Blok - bio Marek Blok is a Data Scientist at Hapag-Lloyd, who for almost two years has been developing AI solutions for berth load prediction and customer email classification. Prior to joining Hapag-Lloyd, Marek worked at the Gdańsk University of Technology, where he completed a PhD and DSc in Digital Signal Processing, with a focus on standard and ML-aided digital signal processing and analysis of telecommunication signals.

See you at PyData!

PyData Trójmiasto #33 (Hapag-Lloyd venue)

AI Meetup (March): GenAI, LLMs and Agent 2025-03-25 · 21:00

** Important RSVP here (Due to room capacity and building security, you must pre-register at the link for admission.)

Description: Welcome to GenAI meetup in New York City. Join us for deep dive tech talks on AI, GenAI, LLMs and ML, hands-on workshops, food/drink, networking with speakers and fellow developers.

Tech Talk: How to build an agentic workflow Speaker: Haven King (Cloud Architect, Orkes) Abstract: Managing complex workflows in autonomous systems poses significant challenges as they scale. This talk explores strategies for optimizing agent-based architectures, where multiple agents interact and adapt in dynamic environments. Key topics include: 1) Distributed decision-making and coordination; 2) Bottlenecks; 3) Adaptive workflow reconfiguration and resilience; and 4) Real-world applications.

Tech Talk: AI Monetization: A Practical Guide to Unlock Value and Profitability Speaker: Eva Dong (Google) Abstract: AI is revolutionizing industries, but many organizations struggle to translate their AI investments into measurable business value. In this session, Eva Dong, Lead of AI Monetization at Google Cloud, will demystify AI monetization and provide a practical framework for unlocking value while optimizing costs.

Speakers/Topics: 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

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 and 500K+ worldwide.

AI Meetup (March): GenAI, LLMs and Agent

AI Meetup (March): AI, GenAI and ML 2025-03-25 · 18:00

** Important RSVP HERE (Due to room capacity and venue security, it is required to pre-register at the link for admission)

Welcome to the AI meetup in London. Join us for deep dive tech talks on AI, GenAI, LLMs and machine learning, food/drink, networking with speakers and fellow developers.

Tech Talk: What you need to know about AI factories Speaker: Matt Shore (High Performance Computing & Artificial Intelligence) Abstract: As organisations start to move from proof of concept to production, they need to consider how to build their infrastructure from the ground up to be completely optimised for the next wave of AI’s requirements. From data to power and space, HPE will provide a whistlestop tour of the latest thinking across the AI stack, as well as what it means for each type of role in the organisation.

Tech Talk: Accessing and building with open-source models Speaker: Darin Verheijke (Recursal ai) Abstract: In this session, I will discuss the recent improvements of open-source LLM models, the difficulties in running these open-source models for yourself/your company, how you can easily access and make use of all these open-source models through Hugging Face and Featherless.ai and demo some self-made open-source applications for every developer to use.

Speakers/Topics: 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

Sponsors: We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. 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 London and 500K+ worldwide.

AI Meetup (March): AI, GenAI and ML

AI Meetup (March): Generative AI and Train ML Models For Responsible AI 2024-03-20 · 21:00

** Important RSVP here (Due to room capacity and building security, you must pre-register at the link for admission)

Description: Welcome to our in-person AI meetup in New York. Join us for deep dive tech talks on AI, GenAI, LLMs and ML, hands-on workshops, food/drink, networking with speakers and fellow developers.

Tech Talk: End-to-End Development of Generative AI applications on Azure Speaker: Nitya Narasimhan (Microsoft) Abstract: In this talk we’ll introduce the core concepts for building a “copilot” application on Azure AI from prompt engineering to LLM Ops – using the Contoso Chat application sample as a reference. And we’ll explore the Azure AI Studio (preview) platform from a code-first perspective to understand how you can streamline your development from model exploration to endpoint deployment, with a unified platform and workflow.

Tech Talk: Train & Debug your ML Models For Responsible AI on Azure Speaker: Ruth Yakubu (Microsoft) Abstract: In this talk you will learn to train an AI model using the Azure Machine Learning Studio, then use its built-in Responsible AI Dashboard capability to debug your model for performance, fairness and responsible AI usage.

Speakers/Topics: 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

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 300K+ worldwide.

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Event chat: chat and connect with speakers and attendees
Sharing blogs, events, job openings, projects collaborations
Join Slack/Discord (scroll down to the bottom) *

AI Meetup (March): Generative AI and Train ML Models For Responsible AI

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