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Title & Speakers	Event
Eindhoven Data Community Meetup 14 - ASML 2023-12-06 · 16:00 Empowering ML Use-Cases: Building Portable Solutions with Google Cloud Platform and Migrating Jupyter Notebooks to Python Packages Have you always wanted to take a look behind the scenes at ASML? For this 14th Eindhoven Data Community meetup, ASML opens its doors for an evening full of knowledge sharing and fun! Sheng-Yi shares how he uses test-driven development when migrating from Jupyter notebooks to Python packages. Akshay, Prashant and Roy will talk about ASML's journey of building portable data-driven use-cases that can be deployed close to customers' EUV machines. Sounds good right? And to conclude this beautiful evening, ASML would like to invite you for a tour of the ASML experience center. Of course, delicious food and drinks will be provided! We'll see each other on December 6. Migrate Jupyter notebooks to Python packages & tips for Jupyter Test-driven development is one of the best practices to develop software. The Sheng-Yi adopts TDD approach to migrate Jupyter notebooks to python packages (including unit tests) in one go. In this presentation he will introduce the steps to migrate notebooks structurally. During the migration journey, a list of tips to organize information in Jupyter is learnt and will be shared as well. Building portable ML use-cases with Google Cloud Platform. ASML helps its customers maintain EUV machines using predictive models. These models often utilize sensitive EUV machine data that is owned by its customers and cannot leave customers infrastructure. How can ASML build data-driven predictive solutions that can be deployed to customers’ diverse infrastructure? In this session, we will talk about ASML’s journey of building portable data-driven use-cases that can be deployed close to customers’ EUV machines. Program 17:00 – 18:00 🍕 Food 18:00 – 18:10 🎤 Welcome 18:10 – 19:00 🎤 Sheng-Yi: Migrate Jupyter notebooks to Python packages & tips for Jupyter 19:00 – 19:15 ⏸️ Break 19:15 – 20:00 🎤 Akshay, Roy & Prashant: Building portable ML use-cases with Google Cloud Platform 20:00-21:00 🥤 Drinks 20:15-21:00 Tour ASML experience center Speaker 1: Sheng-yi Hsu Sheng-Yi is currently a machine learning engineer at ASML. Besides day-to-day ML operations, he designs and evaluates MLOps-related activities, including ways of working, tools and platforms. In MLOps, both tools and culture are equally important. That said, going through this journey with MLOps makes him a more pragmatic engineer who greatly values team spirit. He promotes streamlined workflows that enable the capabilities and ownerships of each team member Speaker 2: Akshay Verma Akshay is a Lead Data Engineer for EUV Predictive Maintenance Team at ASML. He is a Python Backend engineer with passion for computing who turned into Data/ML Engineer working on machine learning use cases for EUV predictive maintenance.Speaker Speaker 3: Roy van Santen Roy is a Machine Learning Engineer at Xebia Data. He worked for several years as a software engineer and gradually specialised and increased his focus on machine learning. Throughout his experience in both the software and machine learning spaces, he has thrived on building high-quality, maintainable, and robust systems, something for which he is greatly impassioned. To put this in practice, he focuses on several areas such as CI/CD, layered testing, monitoring and alerting and paying special attention to writing clear and concise documentation. His success in large and complex projects is underpinned by his clear and effective communication throughout the business to both technical and non-technical colleagues. Speaker 4: Prashant Srivastava Prashant is a Machine Learning Engineer at Xebia Data. He worked as a Data Scientist in industries like finance, bioinformatics & medicine, and event management. Throughout his experience as a Data Scientist and Machine Learning Engineer, he focused on transforming business problems into data-driven solutions and building end-to-end data products. How to get there (see image (map)) We will welcome you at reception 7 (red arrow). When you’re visiting by car, please navigate to ASML Parking P1 and follow the signs to the visitor parking garage (blue line). Please follow the blue dotted line towards the entrance. When arriving by bus, bike, or foot, please also take the blue dotted route. It is not possible to take a shortcut without a badge. There will be physical signs to guide you in the right direction Note: For security reasons, we must register all visitors in advance. When registering, we ask for additional information such as first and last name, e-mail address and possibly license plate of your vehicle if you want to use a parking facility. Please note: bring a valid ID!	Eindhoven Data Community Meetup 14 - ASML
GoDataFest Lite 2023 Summer Edition 2023-07-05 · 07:30 *Please note: Registration is mandatory to attend the event. Secure your spot by registering on the GoDataFest website.* The GoDataFest Lite 2023 Summer Edition is around the corner. This full-day event is an opportunity to learn about the latest trends in data, AI/ML, and cloud technology. We're hosting it on-site in Amsterdam on July 5. The event is FREE to attend - all you need to do is register here. Seating is limited! Engage with product specialists and experienced practitioners of leading tech. Learn from the experiences of industry-leading enterprises. 🗓️ Wednesday, July 5, 2023 📌 Xebia Data Office - Amsterdam, Wibautstraat 202, 1091 GS Schedule: 9.30 - Open doors 10:00 AM-12:25 AM: Kedro Breakfast Jordi Smit and Caio Benatti Moretti would like to invite you to a Kedro Breakfast session. Here, you'll learn how to manage data pipelines locally and on the cloud, all with the same code. They'll provide guidance on segregating IO artifacts from your code to create a more stable setup, as well as how to review the current status of each pipeline node for efficient debugging and testing. 12.30-13.30: Lunch 13:30-14:10: Scaling Real-Time Streaming Analytics with Apache Flink: Unlocking Business Value and Future-Proofing Enterprises Krzysztof Zarzycki will explore the transformative capabilities of Real-Time Streaming Analytics and the crucial role Apache Flink plays in powering such processes. 14:10-14:55: The multidisciplinary art of creating great KPIs In this workshop, Juan Manuel Perafan will break down all the knowledge required to create robust KPIs. From how it ties to your business goals, perverse incentives, to its technical implementation. Everybody is welcome! No coding required. 15:00-15:40: Data Modelling for Dummies in DBT Lasse Benninga will provide a fundamental understanding of data modeling for analytics, using dbt as an example. By the conclusion, you should have a comprehensive grasp of DBT's function and how analytics engineers worldwide use it to structure their data. 16:00-16:40: Our journey from 0 to MLOps Platform in Snowflake Marcin Zabłocki will show you how we’ve built a usable MLOps platform on Snowflake by combining the powers of Snowpark, MLflow & Kedro to make ML part of the data platform. 16.45-17:20: How to trade repeatability of bad habits for reusability of best practices. A few facts about open-source QuickStart ML Blueprints Piotr Chaberski will dive deep into QuickStart ML Blueprints - an open-source collection of examples for efficient prototyping of production-ready ML solutions that is the concrete embodiment of best development practices ready to apply to new challenges. 17.25-18.05: The Role of Machine Learning System Design in Ensuring MLOps Success During this talk, Roy van Santen will discuss why Machine Learning System Design is important, what it entails, and provide you with a framework on how to approach making a design. Machine Learning System Design takes a holistic view on ML applications. 18.15-19.00: Journey into Gen AI Rens Dimmendaal will address the challenges encountered with ChatGPT and how we tackled them by creating an internal tool, SlackGPT. 19.00 - Pizza & networking Register now! Seats are limited. We look forward to seeing you there!	GoDataFest Lite 2023 Summer Edition

Empowering ML Use-Cases: Building Portable Solutions with Google Cloud Platform and Migrating Jupyter Notebooks to Python Packages Have you always wanted to take a look behind the scenes at ASML? For this 14th Eindhoven Data Community meetup, ASML opens its doors for an evening full of knowledge sharing and fun! Sheng-Yi shares how he uses test-driven development when migrating from Jupyter notebooks to Python packages. Akshay, Prashant and Roy will talk about ASML's journey of building portable data-driven use-cases that can be deployed close to customers' EUV machines. Sounds good right? And to conclude this beautiful evening, ASML would like to invite you for a tour of the ASML experience center. Of course, delicious food and drinks will be provided! We'll see each other on December 6.

Migrate Jupyter notebooks to Python packages & tips for Jupyter Test-driven development is one of the best practices to develop software. The Sheng-Yi adopts TDD approach to migrate Jupyter notebooks to python packages (including unit tests) in one go. In this presentation he will introduce the steps to migrate notebooks structurally. During the migration journey, a list of tips to organize information in Jupyter is learnt and will be shared as well.

Building portable ML use-cases with Google Cloud Platform. ASML helps its customers maintain EUV machines using predictive models. These models often utilize sensitive EUV machine data that is owned by its customers and cannot leave customers infrastructure. How can ASML build data-driven predictive solutions that can be deployed to customers’ diverse infrastructure? In this session, we will talk about ASML’s journey of building portable data-driven use-cases that can be deployed close to customers’ EUV machines.

Program

17:00 – 18:00 🍕 Food
18:00 – 18:10 🎤 Welcome
18:10 – 19:00 🎤 Sheng-Yi: Migrate Jupyter notebooks to Python packages & tips for Jupyter
19:00 – 19:15 ⏸️ Break
19:15 – 20:00 🎤 Akshay, Roy & Prashant: Building portable ML use-cases with Google Cloud Platform
20:00-21:00 🥤 Drinks
20:15-21:00 Tour ASML experience center

Speaker 1: Sheng-yi Hsu Sheng-Yi is currently a machine learning engineer at ASML. Besides day-to-day ML operations, he designs and evaluates MLOps-related activities, including ways of working, tools and platforms. In MLOps, both tools and culture are equally important. That said, going through this journey with MLOps makes him a more pragmatic engineer who greatly values team spirit. He promotes streamlined workflows that enable the capabilities and ownerships of each team member

Speaker 2: Akshay Verma Akshay is a Lead Data Engineer for EUV Predictive Maintenance Team at ASML. He is a Python Backend engineer with passion for computing who turned into Data/ML Engineer working on machine learning use cases for EUV predictive maintenance.Speaker

Speaker 3: Roy van Santen Roy is a Machine Learning Engineer at Xebia Data. He worked for several years as a software engineer and gradually specialised and increased his focus on machine learning. Throughout his experience in both the software and machine learning spaces, he has thrived on building high-quality, maintainable, and robust systems, something for which he is greatly impassioned. To put this in practice, he focuses on several areas such as CI/CD, layered testing, monitoring and alerting and paying special attention to writing clear and concise documentation. His success in large and complex projects is underpinned by his clear and effective communication throughout the business to both technical and non-technical colleagues.

Speaker 4: Prashant Srivastava Prashant is a Machine Learning Engineer at Xebia Data. He worked as a Data Scientist in industries like finance, bioinformatics & medicine, and event management. Throughout his experience as a Data Scientist and Machine Learning Engineer, he focused on transforming business problems into data-driven solutions and building end-to-end data products.

How to get there (see image (map)) We will welcome you at reception 7 (red arrow). When you’re visiting by car, please navigate to ASML Parking P1 and follow the signs to the visitor parking garage (blue line). Please follow the blue dotted line towards the entrance. When arriving by bus, bike, or foot, please also take the blue dotted route. It is not possible to take a shortcut without a badge. There will be physical signs to guide you in the right direction

Note: For security reasons, we must register all visitors in advance. When registering, we ask for additional information such as first and last name, e-mail address and possibly license plate of your vehicle if you want to use a parking facility.

Please note: bring a valid ID!

Please note: Registration is mandatory to attend the event. Secure your spot by registering on the GoDataFest website.

The GoDataFest Lite 2023 Summer Edition is around the corner. This full-day event is an opportunity to learn about the latest trends in data, AI/ML, and cloud technology. We're hosting it on-site in Amsterdam on July 5. The event is FREE to attend - all you need to do is register here. Seating is limited!

Engage with product specialists and experienced practitioners of leading tech. Learn from the experiences of industry-leading enterprises.

🗓️ Wednesday, July 5, 2023 📌 Xebia Data Office - Amsterdam, Wibautstraat 202, 1091 GS

Schedule: 9.30 - Open doors

10:00 AM-12:25 AM: Kedro Breakfast Jordi Smit and Caio Benatti Moretti would like to invite you to a Kedro Breakfast session. Here, you'll learn how to manage data pipelines locally and on the cloud, all with the same code. They'll provide guidance on segregating IO artifacts from your code to create a more stable setup, as well as how to review the current status of each pipeline node for efficient debugging and testing.

12.30-13.30: Lunch

13:30-14:10: Scaling Real-Time Streaming Analytics with Apache Flink: Unlocking Business Value and Future-Proofing Enterprises Krzysztof Zarzycki will explore the transformative capabilities of Real-Time Streaming Analytics and the crucial role Apache Flink plays in powering such processes.

14:10-14:55: The multidisciplinary art of creating great KPIs In this workshop, Juan Manuel Perafan will break down all the knowledge required to create robust KPIs. From how it ties to your business goals, perverse incentives, to its technical implementation. Everybody is welcome! No coding required.

15:00-15:40: Data Modelling for Dummies in DBT Lasse Benninga will provide a fundamental understanding of data modeling for analytics, using dbt as an example. By the conclusion, you should have a comprehensive grasp of DBT's function and how analytics engineers worldwide use it to structure their data.

16:00-16:40: Our journey from 0 to MLOps Platform in Snowflake Marcin Zabłocki will show you how we’ve built a usable MLOps platform on Snowflake by combining the powers of Snowpark, MLflow & Kedro to make ML part of the data platform.

16.45-17:20: How to trade repeatability of bad habits for reusability of best practices. A few facts about open-source QuickStart ML Blueprints Piotr Chaberski will dive deep into QuickStart ML Blueprints - an open-source collection of examples for efficient prototyping of production-ready ML solutions that is the concrete embodiment of best development practices ready to apply to new challenges.

17.25-18.05: The Role of Machine Learning System Design in Ensuring MLOps Success During this talk, Roy van Santen will discuss why Machine Learning System Design is important, what it entails, and provide you with a framework on how to approach making a design. Machine Learning System Design takes a holistic view on ML applications.

18.15-19.00: Journey into Gen AI Rens Dimmendaal will address the challenges encountered with ChatGPT and how we tackled them by creating an internal tool, SlackGPT.

19.00 - Pizza & networking

We look forward to seeing you there!

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