Name: GoDataFest Lite 2023 Summer Edition
Start: 2023-07-05T09:30:00+02:00
End: 2023-07-05T21:00:00+02:00
Location: Xebia Netherlands BV

***Please note: Registration is mandatory to attend the event. Secure your spot by registering on [the GoDataFest website](https://godatafest.com/).***

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](https://godatafest.com/registration/). 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!](https://godatafest.com/registration/) Seats are limited.

We look forward to seeing you there!

Xebia Data

Analytics Engineering

xebiadata

Technology

Open Source

Data Mining

Data Visualization

Data Science

DataOps

Data Management

Data Engineering

Big Data

Machine Learning

Data Analytics

Software Development

Business Analytics

akshay sharma

Sivaprasanth Masilamani

Mario Harms

Annie

Walter

Sal Sal Sal Sal

XIAOYAN WU

GoDataFest Lite 2023 Summer Edition

Artificial Intelligence

Cloud Integration

Xebia Netherlands BV

Delen

Analytics Engineering

GoDataFest Lite 2023 Summer Edition

Analytics Engineering

Details

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