talk-data.com

Agenda:

• 18:00 - Opening doors of the venue

• 18:30 - Welcome to PyBerlin! // Organisers

• 18:40 - Welcome from the host - Deutsche Bank Berlin Technology Centre

• 18:50 - Pickle: everybody hates it, everybody uses it // Ben Clifford `pickle` is the built-in Python library for serializing and deserializing objects. "Don't use pickle" is many people's instant reaction. Then they go back to their terminal and use pickle. I'll dig into the guts of the pickle protocol to try to understand this contradiction: what makes it uniquely useful compared to other data formats? but how does that bring in behaviour that upsets people?

Speaker's Bio: Ben spends a lot of time moving Python objects around. He's a big fan of programming languages and as well as Python has worked professionally in languages as diverse as Haskell, FORTRAN, and PHP. For fun, he likes bike riding and LEDs (and has a bunch of LEDs strapped into his bike wheel...)

• 19:20 - Short break

• 19:50 - API Quality Framework // Pallavi Debnath In this talk I will show how in Deutsche Bank we are working to enhance the quality and governance of both internal and external APIs, ensuring maximum discoverability and reusability through rigorous API quality controls and scoring mechanisms using Python.

Speaker’s bio: Pallavi is a Lead Engineer at Deutsche Bank, focusing on API Banking and AI Projects. With a background as Full Stack Engineer, she has experience in Insurance, Banking and Renewable Energy domains with contribution in areas of architecture, product designing and core development.

• 20:20 - GenAI Solution Design Best Practices // Mirza Rahim Baig Are you using LLMs where a simple string match would work? Or are you using 4x the tokens you actually need. Identify all the decisions we need to make in designing a solution and learn how to make those decisions. Get some pro-tips in designing LLM based solutions. We start with a poorly created solution and the audience interactively and successively improves the solution.

Speaker's bio: Rahim is a seasoned data science expert, solving complex business problems using AI/ ML since 2009. Rahim is an author, speaker and educator. He is a visiting faculty at NMIMS for MBA programs and a subject matter with leading Ed-tech platforms. He has authored three well received books - "Optimising AI/ML Solutions", “The Deep Learning Workshop” and “Data Science for Marketing Analytics Workshop”. He is also a mentor for an AI accelerator.

• 20:50 - Closing session // Organisers

This event will be only in-person. Please check our Code of Conduct and official health regulation in Berlin before coming. If you feel some signs of sickness, please consider skipping this event and attending another time. We will have plenty of events in different formats in the future.

Looking forward seeing you all soon!

** Important RSVP here. (Due to room capacity and building security, it's required to pre-register at the link for admission).

Welcome to the monthly in-person AI meetup in Berlin, in collaboration with Thoughtworks. Join us for deep dive tech talks on AI, GenAI, LLMs and machine learning, networking with speakers and fellow developers.

Agenda: * 6:00pm\~7:00pm: Checkin and networking * 7:00pm\~9:00pm: Tech talks and Q&A * 9:00pm: Open discussion and Mixer

Tech Talk: AI solution design in an LLM world Speaker: Mirza Rahim Baig (Zalando) Abstract: Are you using LLMs where a simple string match would work? Using multiple agents unnecessarily? Or are you using 4x the tokens you actually need. Identify all the decisions we need to make in designing a solution and learn how to make those decisions. Get some pro-tips in designing LLM based solutions. We start with a poorly created solution and the audience interactively and successively improves the solution.

Tech Talk: Beyond Vanilla RAG - Advanced RAG Strategies Speaker: Stephen Batifol (Zilliz) Abstract: In this talk, we'll explore how we can have Advanced RAG, the key components and innovative strategies. We'll cover how we can divide & conquer complex problems, and how query enhancement can help with query precision. We'll also look at different how we can use different retrievers. We'll touch on Routing, Memory, Planning to create Agentic Strategies.

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 8,000+ AI developers in Berlin or 350K+ worldwide.

Community on Slack/Discord - Event chat: chat and connect with speakers and attendees - Sharing blogs\, events\, job openings\, projects collaborations

• Join Slack/Discord (link is at the bottom of the page)

*

This Meetup is presented by our friends from AI Camp Berlin. For more information and to help us keep track, please register via the event page of AICamp here ----------------------------- Join us for deep dive tech talks on AI, GenAI, LLMs and machine learning, food/drink, networking with speakers and fellow developers.

On the Agenda: 6:00pm\~7:00pm: Checkin, Food/drink and Networking 7:00pm\~9:00pm: Tech talks and Q&A 9:00pm: Open discussion and Mixer

About the evening

AI solution design in an LLM world by Mirza Rahim Baig

Are you using LLMs where a simple string match would work? Using multiple agents unnecessarily? Or are you using 4x the tokens you actually need. Identify all the decisions we need to make in designing a solution and learn how to make those decisions. Get some pro-tips in designing LLM based solutions. We start with a poorly created solution and the audience interactively and successively improves the solution. https://www.linkedin.com/in/rahim-baig/

Beyond Vanilla RAG - Advanced RAG Strategies by Stephen Batifol from Zilliz

In this talk, we'll explore how we can have Advanced RAG, the key components and innovative strategies. We'll cover how we can divide & conquer complex problems, and how query enhancement can help with query precision. We'll also look at different how we can use different retrievers. We'll touch on Routing, Memory, Planning to create Agentic Strategies. https://www.linkedin.com/in/stephen-batifol/

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

------ Code of Conduct We adhere to the Berlin Code of Conduct to ensure a welcoming and respectful environment for all participants. The event space operates under largely compatible Thoughtworks Meetups & Events CoC.

Accessibility The Location is accessible for wheelchair users. This includes the entrance (no steps to get into the location), toilets and the stage.

In 'Data Science for Marketing Analytics', you'll embark on a journey that integrates the power of data analytics with strategic marketing. With a focus on practical application, this guide walks you through using Python to analyze datasets, implement machine learning models, and derive data-driven insights. What this Book will help me do Gain expertise in cleaning, exploring, and visualizing marketing data using Python. Build machine learning models to predict customer behavior and sales outcomes. Leverage unsupervised learning techniques for effective customer segmentation. Compare and optimize predictive models using advanced evaluation methods. Master Python libraries like pandas and Matplotlib for data manipulation and visualization. Author(s) Mirza Rahim Baig, Gururajan Govindan, and Vishwesh Ravi Shrimali combine their extensive expertise in data analytics and marketing to bring you this comprehensive guide. Drawing from years of applying analytics in real-world marketing scenarios, they provide a hands-on approach to learning data science tools and techniques. Who is it for? This book is perfect for marketing professionals and analysts eager to harness the capabilities of Python to enhance their data-driven strategies. It is also ideal for data scientists looking to apply their skills in marketing across various roles. While a basic understanding of data analysis and Python will help, all key concepts are introduced comprehensively for beginners.