Calling all developers, hackers, and data innovators!

TiDB AgentX Hackathon 2025 is your chance to unleash what’s possible at the intersection of distributed SQL and generative AI.

This year, we want multi-step AI agents that demonstrate real-world workflows. But we also want to ensure you have the inspiration you need to quickly get hacking.

👉 Register HERE to secure your spot! 👈

In this webinar, PingCAP Developer Advocate Chris Dabatos, AWS Senior Developer Advocate Erik Hanchett, and Sheet0 Head of Engineering Yanshu Wang will show you how to build your very own sample semantic Q&A app while integrating AI-powered tooling.

You’ll learn:

• How to build and ship a lightning-fast FAQ with TiDB's built-in vector search and AWS Bedrock using only a few Python scripts.
• How to scaffold code, validate changes, and pull in docs as you type with Kiro, a newly-released AI IDE.
• How Sheet0 uses AI agents to understand your data requests, autonomously navigate web sources, and deliver precise, anticipatory insights.

Whether you’re prototyping a semantic Q&A assistant or streamlining ops with AI-native tooling, this live demo webinar is about going from idea to impact with no babysitting clusters or wrangling microservices.

👉 Register HERE to secure your spot! 👈

Calling all developers, hackers, and data innovators!

TiDB AgentX Hackathon 2025 is your chance to unleash what’s possible at the intersection of distributed SQL and generative AI.

This year, we want multi-step AI agents that demonstrate real-world workflows. But we also want to ensure you have the inspiration you need to quickly get hacking.

👉 Register HERE to secure your spot! 👈

In this webinar, PingCAP Developer Advocate Chris Dabatos, AWS Senior Developer Advocate Erik Hanchett, and Sheet0 Head of Engineering Yanshu Wang will show you how to build your very own sample semantic Q&A app while integrating AI-powered tooling.

You’ll learn:

• How to build and ship a lightning-fast FAQ with TiDB's built-in vector search and AWS Bedrock using only a few Python scripts.
• How to scaffold code, validate changes, and pull in docs as you type with Kiro, a newly-released AI IDE.
• How Sheet0 uses AI agents to understand your data requests, autonomously navigate web sources, and deliver precise, anticipatory insights.

Whether you’re prototyping a semantic Q&A assistant or streamlining ops with AI-native tooling, this live demo webinar is about going from idea to impact with no babysitting clusters or wrangling microservices.

👉 Register HERE to secure your spot! 👈

Calling all developers, hackers, and data innovators!

TiDB AgentX Hackathon 2025 is your chance to unleash what’s possible at the intersection of distributed SQL and generative AI.

This year, we want multi-step AI agents that demonstrate real-world workflows. But we also want to ensure you have the inspiration you need to quickly get hacking.

👉 Register HERE to secure your spot! 👈

In this webinar, PingCAP Developer Advocate Chris Dabatos, AWS Senior Developer Advocate Erik Hanchett, and Sheet0 Head of Engineering Yanshu Wang will show you how to build your very own sample semantic Q&A app while integrating AI-powered tooling.

You’ll learn:

• How to build and ship a lightning-fast FAQ with TiDB's built-in vector search and AWS Bedrock using only a few Python scripts.
• How to scaffold code, validate changes, and pull in docs as you type with Kiro, a newly-released AI IDE.
• How Sheet0 uses AI agents to understand your data requests, autonomously navigate web sources, and deliver precise, anticipatory insights.

Whether you’re prototyping a semantic Q&A assistant or streamlining ops with AI-native tooling, this live demo webinar is about going from idea to impact with no babysitting clusters or wrangling microservices.

👉 Register HERE to secure your spot! 👈

Calling all developers, hackers, and data innovators!

TiDB AgentX Hackathon 2025 is your chance to unleash what’s possible at the intersection of distributed SQL and generative AI.

This year, we want multi-step AI agents that demonstrate real-world workflows. But we also want to ensure you have the inspiration you need to quickly get hacking.

👉 Register HERE to secure your spot! 👈

In this webinar, PingCAP Developer Advocate Chris Dabatos, AWS Senior Developer Advocate Erik Hanchett, and Sheet0 Head of Engineering Yanshu Wang will show you how to build your very own sample semantic Q&A app while integrating AI-powered tooling.

You’ll learn:

• How to build and ship a lightning-fast FAQ with TiDB's built-in vector search and AWS Bedrock using only a few Python scripts.
• How to scaffold code, validate changes, and pull in docs as you type with Kiro, a newly-released AI IDE.
• How Sheet0 uses AI agents to understand your data requests, autonomously navigate web sources, and deliver precise, anticipatory insights.

Whether you’re prototyping a semantic Q&A assistant or streamlining ops with AI-native tooling, this live demo webinar is about going from idea to impact with no babysitting clusters or wrangling microservices.

👉 Register HERE to secure your spot! 👈

Calling all developers, hackers, and data innovators!

TiDB AgentX Hackathon 2025 is your chance to unleash what’s possible at the intersection of distributed SQL and generative AI.

This year, we want multi-step AI agents that demonstrate real-world workflows. But we also want to ensure you have the inspiration you need to quickly get hacking.

👉 Register HERE to secure your spot! 👈

In this webinar, PingCAP Developer Advocate Chris Dabatos, AWS Senior Developer Advocate Erik Hanchett, and Sheet0 Head of Engineering Yanshu Wang will show you how to build your very own sample semantic Q&A app while integrating AI-powered tooling.

You’ll learn:

• How to build and ship a lightning-fast FAQ with TiDB's built-in vector search and AWS Bedrock using only a few Python scripts.
• How to scaffold code, validate changes, and pull in docs as you type with Kiro, a newly-released AI IDE.
• How Sheet0 uses AI agents to understand your data requests, autonomously navigate web sources, and deliver precise, anticipatory insights.

Whether you’re prototyping a semantic Q&A assistant or streamlining ops with AI-native tooling, this live demo webinar is about going from idea to impact with no babysitting clusters or wrangling microservices.

👉 Register HERE to secure your spot! 👈

Calling all developers, hackers, and data innovators!

TiDB AgentX Hackathon 2025 is your chance to unleash what’s possible at the intersection of distributed SQL and generative AI.

This year, we want multi-step AI agents that demonstrate real-world workflows. But we also want to ensure you have the inspiration you need to quickly get hacking.

👉 Register HERE to secure your spot! 👈

In this webinar, PingCAP Developer Advocate Chris Dabatos, AWS Senior Developer Advocate Erik Hanchett, and Sheet0 Head of Engineering Yanshu Wang will show you how to build your very own sample semantic Q&A app while integrating AI-powered tooling.

You’ll learn:

• How to build and ship a lightning-fast FAQ with TiDB's built-in vector search and AWS Bedrock using only a few Python scripts.
• How to scaffold code, validate changes, and pull in docs as you type with Kiro, a newly-released AI IDE.
• How Sheet0 uses AI agents to understand your data requests, autonomously navigate web sources, and deliver precise, anticipatory insights.

Whether you’re prototyping a semantic Q&A assistant or streamlining ops with AI-native tooling, this live demo webinar is about going from idea to impact with no babysitting clusters or wrangling microservices.

👉 Register HERE to secure your spot! 👈

Calling all developers, hackers, and data innovators!

TiDB AgentX Hackathon 2025 is your chance to unleash what’s possible at the intersection of distributed SQL and generative AI.

This year, we want multi-step AI agents that demonstrate real-world workflows. But we also want to ensure you have the inspiration you need to quickly get hacking.

👉 Register HERE to secure your spot! 👈

In this webinar, PingCAP Developer Advocate Chris Dabatos, AWS Senior Developer Advocate Erik Hanchett, and Sheet0 Head of Engineering Yanshu Wang will show you how to build your very own sample semantic Q&A app while integrating AI-powered tooling.

You’ll learn:

• How to build and ship a lightning-fast FAQ with TiDB's built-in vector search and AWS Bedrock using only a few Python scripts.
• How to scaffold code, validate changes, and pull in docs as you type with Kiro, a newly-released AI IDE.
• How Sheet0 uses AI agents to understand your data requests, autonomously navigate web sources, and deliver precise, anticipatory insights.

Whether you’re prototyping a semantic Q&A assistant or streamlining ops with AI-native tooling, this live demo webinar is about going from idea to impact with no babysitting clusters or wrangling microservices.

👉 Register HERE to secure your spot! 👈

Calling all developers, hackers, and data innovators!

TiDB AgentX Hackathon 2025 is your chance to unleash what’s possible at the intersection of distributed SQL and generative AI.

This year, we want multi-step AI agents that demonstrate real-world workflows. But we also want to ensure you have the inspiration you need to quickly get hacking.

👉 Register HERE to secure your spot! 👈

In this webinar, PingCAP Developer Advocate Chris Dabatos, AWS Senior Developer Advocate Erik Hanchett, and Sheet0 Head of Engineering Yanshu Wang will show you how to build your very own sample semantic Q&A app while integrating AI-powered tooling.

You’ll learn:

• How to build and ship a lightning-fast FAQ with TiDB's built-in vector search and AWS Bedrock using only a few Python scripts.
• How to scaffold code, validate changes, and pull in docs as you type with Kiro, a newly-released AI IDE.
• How Sheet0 uses AI agents to understand your data requests, autonomously navigate web sources, and deliver precise, anticipatory insights.

Whether you’re prototyping a semantic Q&A assistant or streamlining ops with AI-native tooling, this live demo webinar is about going from idea to impact with no babysitting clusters or wrangling microservices.

👉 Register HERE to secure your spot! 👈

Calling all developers, hackers, and data innovators!

TiDB AgentX Hackathon 2025 is your chance to unleash what’s possible at the intersection of distributed SQL and generative AI.

This year, we want multi-step AI agents that demonstrate real-world workflows. But we also want to ensure you have the inspiration you need to quickly get hacking.

👉 Register HERE to secure your spot! 👈

In this webinar, PingCAP Developer Advocate Chris Dabatos, AWS Senior Developer Advocate Erik Hanchett, and Sheet0 Head of Engineering Yanshu Wang will show you how to build your very own sample semantic Q&A app while integrating AI-powered tooling.

You’ll learn:

• How to build and ship a lightning-fast FAQ with TiDB's built-in vector search and AWS Bedrock using only a few Python scripts.
• How to scaffold code, validate changes, and pull in docs as you type with Kiro, a newly-released AI IDE.
• How Sheet0 uses AI agents to understand your data requests, autonomously navigate web sources, and deliver precise, anticipatory insights.

Whether you’re prototyping a semantic Q&A assistant or streamlining ops with AI-native tooling, this live demo webinar is about going from idea to impact with no babysitting clusters or wrangling microservices.

👉 Register HERE to secure your spot! 👈

Calling all developers, hackers, and data innovators!

TiDB AgentX Hackathon 2025 is your chance to unleash what’s possible at the intersection of distributed SQL and generative AI.

This year, we want multi-step AI agents that demonstrate real-world workflows. But we also want to ensure you have the inspiration you need to quickly get hacking.

👉 Register HERE to secure your spot! 👈

In this webinar, PingCAP Developer Advocate Chris Dabatos, AWS Senior Developer Advocate Erik Hanchett, and Sheet0 Head of Engineering Yanshu Wang will show you how to build your very own sample semantic Q&A app while integrating AI-powered tooling.

You’ll learn:

• How to build and ship a lightning-fast FAQ with TiDB's built-in vector search and AWS Bedrock using only a few Python scripts.
• How to scaffold code, validate changes, and pull in docs as you type with Kiro, a newly-released AI IDE.
• How Sheet0 uses AI agents to understand your data requests, autonomously navigate web sources, and deliver precise, anticipatory insights.

Whether you’re prototyping a semantic Q&A assistant or streamlining ops with AI-native tooling, this live demo webinar is about going from idea to impact with no babysitting clusters or wrangling microservices.

👉 Register HERE to secure your spot! 👈

Generative Artificial Intelligence (AI) is reshaping engineering education by offering students new ways to engage with complex concepts and content. Ethical concerns including bias, intellectual property, and plagiarism make Generative AI a controversial educational tool. Overreliance on AI may also lead to academic integrity issues, necessitating clear student codes of conduct that define acceptable use. As educators we should carefully design learning objectives to align with transferrable career skills in our fields. By practicing backward design with a focus on career-readiness skills, we can incorporate useful prompt engineering, rapid prototyping, and critical reasoning skills that incorporate generative AI. Engineering students want to develop essential career skills such as critical thinking, communication, and technology. This talk will focus on case studies for using generative AI and rapid prototyping for scientific computing in engineering courses for physics, programming, and technical writing. These courses include assignments and reading examples using NumPy, SciPy, Pandas, etc. in Jupyter notebooks. Embracing generative AI tools has helped students compare, evaluate, and discuss work that was inaccessible before generative AI. This talk explores strategies for using AI in engineering education while accomplishing learning objectives and giving students opportunities to practice career readiness skills.

On 2025-04-17, we will have 3 amazing speakers to share with you how AI can help you solve problems you may have. And thank you very much to Google Berlin for hosting us this time. Reserve your seats now and see you very soon!

Agenda

5:30 PM: Doors open, Registration, Dinner and Drinks

6:30 PM: Build with Gemini – Learn about Gemini's multimodal and agentic capabilities" + Q&A by Patrick Löber

Gemini 2.0 and 2.5 are the latest foundational models released by Google DeepMind, offering multimodal understanding, realtime interactions, text-to-image generations, thinking, and tool support for agentic use cases. In this talk you'll get an overview of Gemini's capabilities, learn about prototyping with Google AI Studio, and how to build with Gemini models.

7:00 PM: "Applied NLP in the Age of Generative" + Q&A by Ines Montani

Large Language Models (LLMs) and in-context learning have introduced a new paradigm for developing natural language understanding systems: prompts are all you need! Prototyping has never been easier, but not all prototypes give a smooth path to production. In this talk, titled "Reality is Not an End-to-End Prediction Problem: Applied NLP in the Age of Generative AI," I'll share the most important lessons we've learned from solving real-world information extraction problems in industry and show you a new approach and mindset for designing robust and modular NLP pipelines in the age of Generative AI.

7:50 PM: Break

8:00 PM: AI Engineering for Everyone + Q&A by Tejas Kumar

This talk dives deep into the landscape of AI in 2025 with a focus on agents and extending the capabilities of language models through Model Context Protocol (MCP). After this talk, the audience will have a holistic understanding of AI for 2025 and will be able to build real-world solutions with them.

8:50 PM: Drinks and Networking

Speakers

Patrick Löber - Google DeepMind (Developer Relationships Engineer)

Ines Montani - Explosion (CEO & Founder)

Ines is a software developer working on Artificial Intelligence and Natural Language Processing technologies, and the co-founder and CEO of Explosion (https://explosion.ai/) https://bsky.app/profile/inesmon…

Tejas Kumar - DataStax (Developer Relations Engineer)

Tejas Kumar is an international keynote speaker, best selling author, and host of the developer-loved ConTejas Code podcast with an engineering background spanning 23 years, from design to frontend to backend to devops. Today, Tejas shares talks at large with developer communities worldwide, equipping them to do their best work.

Hosted By

Alex Mir, GDG Organizer

GDG Berlin co-lead and Software Engineer

Emy Jamalian, QA engineer

I am a girl, a middle eastern, a European residence, an extra extroverted, a believer in making things work, a fighter for fairness, a motivator.

Jerome Mouton, Organizer

Louis Tsai, GDG Organizer

manjula dube, Organizer

I am Software Engineer & teacher. I'm a world renowned tech speaker.I am from India currently living in Berlin with my husband Sahil Mhapsekar.

I work at The Vanguard Group Europe. I am Founder of Geekabyte that aims to deliver in person tech workshops on Web Development & organises international conferences, React India & JS Conf India. I'm also a Google Developer Expert. I have been obsessed with coding ever since I graduated out of college.

I am founding member of Mumbai Women Coders that aims to encourage more women in tech & provide an avenue into the technology world. I love contributing to open source in my free time. I love Javascript, React & my family ❤️ In coming years I see my self teaching people to code.

Shrinish Donde,

Passionate about telecom and sports. Likes to be in organising and networking.

Mohamed Islem Ayari, Junior cloud Developper

Complete your event RSVP here: https://gdg.community.dev/events/details/google-gdg-berlin-presents-using-ai-to-help-solve-problems-both-big-and-small/.

Dear PyLadies 💚🐍

Our next on-site event is coming on the 25th of March featuring 𓆙 Anna Astori from Cigna Group and Julia Wabant **.** and continuing with ⚡ lightning talks where you can take 3 mins to talk about anything Python or tech related (more below)

🌟Agenda (preliminary)

18h30 - 18h45 Come and take your seat

18h45 - 19h00 Welcome by PyLadies Paris and Octo Technology

19h00 - 19h30 Building an LLM-backed chatbot with Chainlit by Anna Astori

19h30 - 20h00 Rustyfing Python: A Synergistic Approach to High Performance by Julia Wabant

20h00 - 20h20 Lightning talks

20h20 - 22h00 Snacks and Networking

🌟 Anna Astori from Cigna Group Talk Title: Building an LLM-backed chatbot with Chainlit Abstract: If you’re interested in Generative AI, building a chatbot application sounds exciting, right? But creating the web UI can quickly become overwhelming, especially if you don't have much experience. That’s where Chainlit comes to the rescue! In this talk, you’ll see how you can quickly build pretty sophisticated interactive chatbots and integrate generative AI models using Chainlit. We’ll also cover features such as testing and debugging, streaming responses, and more advanced backend settings. About Anna: Anna Astori is a Software Engineer. She is also a co-organizer of PyLadies Boston, Women Techmakers Ambassador, and formerly the Director for Women Who Code Boston.

🌟Julia Wabant Talk Title: Rustyfing Python: A Synergistic Approach to High Performance Abstract: This talk explores the synergistic combination of Python and Rust for high-performance software development. While Python's dynamic typing and interpreted nature excel in rapid prototyping and development, its performance limitations become apparent in complex applications. Rust, with its static typing and compilation to native code, provides a powerful solution for optimizing computationally demanding tasks. By leveraging Rust's native performance within Python projects, we achieve a compelling balance: the flexibility and ease of development offered by Python coupled with the raw speed and efficiency of Rust. This talk showcases practical examples of integrating Rust into Python projects, demonstrating how to build a single package, and ultimately achieve streamlined development, deployment, and execution. About Julia : Julia Wabant is a seasoned developer with 7 years of experience building and deploying Machine Learning solutions across various industries. She has a deep understanding of the entire ML lifecycle, from data preparation to model training, deployment and monitoring. Beyond industry experience, Julia is also a passionate educator, having spent significant time in the last 4 years teaching programming, mathematics, data science and machine learning to students, developers, and executives. As a Google Cloud and AWS certified Machine Learning specialist, Julia is well-versed into both cloud platforms and their role in powering modern ML applications.

Get ready for lightning talks: Many of you told us that you would like to give a talk, but your project is not mature enough. You no longer have to worry about it. Come and practice your public speaking during the 3 minutes time-slot. Some ideas on what you can talk about:

• Python library or function you love or which you recently discovered,
• article you've read
• your journey into Python
• conference you have attended

You can decide anytime before the start of lightning talks or you may want to prepare up to one slide (in pdf format) which you can send us the latest on the 11th of March to [email protected]

Octo Technology will be our host and sponsor of the food and the drinks during the networking session after the talks: thank you 💚 and special thanks to Loic from Octo n for all the support.

Important info

1:❗For safety reasons, the venue's staff will check everyone's identity on site. 📝Please remember to bring an ID with you and register for the event with your real name and family name. Thank you!

2: Please be on time. We can’t guarantee a seat once the meetup has started

# 🔍 FAQ

Q. I'm not female, is it ok for me to attend?

A. Yes, PyLadies Paris events are open to everyone at all levels.

Complete your event RSVP here: https://gdg.community.dev/events/details/google-gdg-cloud-london-presents-crafting-intelligent-generative-agents-in-google-cloud/.

GDG Cloud London is thrilled to be collaborating with Datatonic (https://datatonic.com/) for a deep dive into the AI world in Google Cloud.

The event will be held at Datatonic London office, at Level 45, One Canada Square, Greater London, E14 5AB.

This meet-up is a unique opportunity to connect with fellow AI and Cloud enthusiasts, industry practitioners, and researchers in a dynamic and interactive setting. Whether you are a seasoned Cloud and AI professional or just curious about the latest advancements in Generative AI and Google Cloud, this meet-up is for you! Join us for an insightful and thought-provoking discussion on the forefront of AI innovation and practices. The event is kindly sponsored by our partner Zeren (https://www.zerenglobal.com/).

Don't miss out, RSVP now!

Agenda

6:00 PM: Arrivals and Check In

6:30 PM: Welcome / Community Update

6:45 PM: Maurizio Ipsale and Mirko Gilioli - Crafting Intelligent Generative Agents in Google Cloud

This talk explores Google Cloud's suite of tools for building powerful generative AI experiences. We'll delve into designing and deploying conversational AI agents using natural language or a code-first approach. Discover how to seamlessly integrate your agents with trusted data sources, including Google Search, internal databases, and applications, for accurate and relevant responses. The talk will showcase the platform's capabilities for rapid development, from low-code prototyping to high-code customization. Learn about tools for experimentation, deployment, and ongoing optimization, all within a secure and compliant Google Cloud environment.

7:45 PM: Raffle and Networking

Speakers

Maurizio Ipsale - Datatonic (Lead Google Cloud Instructor)

Enthusiastic Technology Educator and Consultant with a Proven Track Record in AI, Cloud, Data, and Networking With a deep expertise in Machine Learning, Cloud Computing, Data Analytics, and Networking, I empower individuals and organizations to thrive in the evolving digital landscape. As a Google Cloud Authorized Trainer and AWS Champion Authorized Instructor, I equip professiona…

Mirko Gilioli - Datatonic (Lead Google Cloud Instructor)

Technical Trainer with a Passion for Empowering Others My journey in the world of technology began with a strong foundation in computer science and engineering, earning my MSc from the esteemed University of Modena & Reggio Emilia in 2010. Driven by an insatiable curiosity and a desire to share knowledge, I embarked on a path as an ICT trainer, delivering technical training across th…

Partner

Zeren (https://www.zerenglobal.com/)

Join us in Riyadh on May 10th and 11th for the NextGen II Hackathon!

This event offers a unique opportunity to harness the cutting-edge power of Generative AI tools in the market to build practical projects for personal or professional purposes.

Utilize Generative AI tools to optimize the rapid prototyping process or to develop groundbreaking solutions that enhance business productivity and enable data-driven decision-making. Once participants register and RSVP, we will share the event location details and all the information you will need to participate!

Participants are allowed to use any Generative AI tools at their disposal. During the hackathon, expert-level mentors will be on-site to help guide participants and encourage them to create the best possible solutions. At the end of day 2, teams will present their solutions to the judges and the winners will be announced on-site!

EVENT DETAILS When: Friday, May 10th - Saturday, May 11th Where: Riyadh, Saudi Arabia Please note that this will be an English speaking event, but we will have mentors that are fluent in Arabic that will be available both days on-site to help participants with their projects.

PRIZES $15,000 Prize Pool with the opportunity for additional investment to bring your project to market

HACKATHON CHALLENGES Challenge #1: Project AI: Unleashing Individual Creativity Challenge #2: NextGen AI for Business Applications

You can find more information on the challenges and officially register for the event HERE

Join us for a Amazon Q Meetup at the AWS NYC office in Bryant Park, on April 29, from 5:15 to 7:30 PM EST and see how generative AI tools can help make your life easier and help build. This event is part 2 of a series of 4, however the content for each of the events is designed to be standalone. You do not need to attend all 4 events and can attend any one event individually or in parts.

Talk: Amazon Q Developer: your AWS Expert in your IDE This session will show you how you can use Amazon Q Developer to transform the way you build, optimize, and create applications and workloads on AWS. We’ll talk about prompt engineering best-practices, and how you can use Q to explain existing code and concepts, to refactor, optimize and fix code. We’ll show examples how we can use Q Chat and inline prompts using CodeWhisperer to generate business logic code in Python and infrastructure as Code in AWS CDK.

Speakers:

• Iris Kraja Iris is a Cloud Application Architect at AWS Professional Services based in New York City. She is passionate about helping customers design and build modern AWS cloud native solutions, with a keen interest in serverless technology, event-driven architectures and DevOps. Outside of work, she enjoys hiking and spending as much time as possible in nature.
• Jin Tan Ruan Jin is a AI/ML and Generative AI Prototyping Developer on the AWS Industries Prototyping and Customer Engineering (PACE) team, specializing in NLP and generative AI. He has a background in software development and holds nine AWS certifications. Jin supports AWS's largest industry customers across five different sectors: Automotive, Healthcare & Life Sciences, Energy, Manufacturing, and Media and Entertainment. He assists these customers in realizing their AI/ML and generative AI ambitions using the AWS platform. Jin earned a master's degree in Computer Science & Software Engineering from the University of Syracuse. Outside of work, he enjoys playing video games and delving into the exciting world of horror movies.

Important instructions

• Event starts at 5:30 pm EST, but please allow at least 15 minutes for security to process registration
• Please ensure that your meetup profile has your full name. Both first and last name are required and we will not be able to register attendees with just abbreviations or incomplete names.
• There are two entrances to the building, one on 38th st and one on 39th st. If you enter through 38th street, please follow the hallway to proceed to the reception in the front of the building where you can get registered
• There is an optional networking and Q&A event at the event of the meetup

Join Cox Communications in their generative AI journey, from innovation to transformation. Explore how they enhance sales and value using Google Cloud's Vertex AI suite. Uncover use cases improving digital sales and NPS, and reducing contact center costs. Get insights from the journey's early days, including rapid prototyping, preliminary results, and plans for organizational readiness and application controls essential for scaling. Don't miss this deep dive into the intersection of innovation, strategy, and tangible outcomes.

By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Registration Link: https://www.eventbrite.com/e/module-8-become-more-efficient-with-ai-based-workflows-for-xr-prototyping-tickets-860837898327?aff=meetup

This live session is part of module 8 of the XR Design Fellowship Series.

Read more about the XR Design Fellowship here. By getting a ticket for this event, you will get access to all contents of modules 1 to 6 (prerequisites library, pre-lecture assignment, post-lecture assignment, live mentorship session).

We will look at how to systematically approach AI-based content generation for spatial apps and games and some practical tools and workflows to help you prototype and build your vision.

AI is revolutionizing the way we design and create. It started with text and images and can now support creators with 3D generation, motion, sound, and more, allowing creatives to build and populate entire worlds. This unlocks incredible opportunities for designers, creators, and developers of spatial apps and games that can now accelerate the early stage of the design process.

Lecture Overview:

This module of the XR Design Fellowship will examine how AI can improve the creative process by going beyond tools and workflows and making you faster and more efficient. This means setting the right mindset when creating with AI, picking a good scope for experimentation and exploration, and ensuring you reach your ultimate goal. We will then showcase the best AI generative tools to create characters, props, and environments, how to bring them to life, add sound, and ultimately combine them to prototype a multiplayer mixed reality experience using ShapesXR.

Session Takeaways

• How to start with AI without wasting time on comparing, researching, or installing tools
• Different ways AI can help you generate assets, characters, props, and environments
• How to bring AI-generated assets to life (again, with AI)
• How to put it all together and build an XR prototype - in a fast, efficient and high quality

Speakers

Gabriele Romagnoli: Shapes XR Gabriele Romagnoli is head of marketing and community at ShapesXR, an award-winning startup on a mission to bring the next-level tool for designing and prototyping spatial apps and games. Passionate about collaboration and creativity, Gabriele explores new workflows and tools daily that merge XR and AI in interesting ways to inspire and educate on how these technologies can complement each other.

Description of company

ShapesXR is an intuitive design and prototyping tool for spatial apps. It allows anybody to create in 3D and assemble scenes using the powerful creative toolset or imported assets such as Figma components, frames, or 3D models. Thanks to the storyboarding system, you can bring your design to life and “link” the frames with triggers and interactions to build genuinely interactive prototypes and test your design in motion. ShapesXR is the design tool of choice by XR teams across studios and enterprises such as TRIPP, Nanome, Meta, Bytedance, and many more.

The XR Design Fellowship

The 12-month-long XR Design fellowship aims to keep students up-to-date with the latest trends and advancements in the XR industry. Moreover, students will benefit from valuable feedback from industry experts during critique and mentorship sessions, enhancing their learning experience and practical skills in XR design. You will:

• Understand the Fundamentals of Spatial Design: This course will help you delve into the distinctions between screen-based and spatial interactions, deepening your understanding of spatial design's core principles.
• Master the XR Design Process: You will gain a comprehensive understanding of the XR design process, which includes ideation, storyboarding, prototyping, and user testing.
• Hands-on Design Experience: You will apply your acquired knowledge and skills to create your visionOS prototype, providing invaluable practical experience in the XR design process.
• Keep Abreast of the Latest Trends in XR Industry: You will learn about the latest trends and technological advancements in the rapidly evolving XR industry, ensuring your skills remain current and adaptable.
• Receive Experts’ Feedback: You can present your work to XR industry experts during critique and mentorship sessions, benefiting from their valuable feedback and gaining further insights into the industry.

External registration required at nyhackr.org.

Returning to the meetup after more than 10 years, Ben Lerner is back, this time talking about Generative AI.

After the talk we will randomly select two attendees (both in-person and virtual) to receive free tickets to The New York R Conference taking place May 16-17.

Thank you to NYU for hosting us.

Everybody attending must RSVP through the registration form at nyhackr.org. There is a charge for in-person and virtual tickets are free. Space is limited and in-person registration closes at 2 PM February 29th.

About the Talk: How do you test and build a new product with generative AI? In this talk I describe how we prototyped Espresso AI in our first two weeks and discuss the challenges of taking an AI product from a demo through launch.

About Ben: Ben is one of the founders of Espresso AI, which uses Generative AI to optimize SQL and helps users automatically save 30%+ on their Snowflake bill. Previously, Ben worked on machine learning and performance optimization in Google Search and Google Cloud.

The venue doors open at 5:30 PM America/New_York where we will continue enjoying pizza together (we encourage the virtual audience to have pizza as well). The talk, and livestream, begins at 6:00 PM America/New_York.

Remember, register at nyhackr.org.

In this episode, I’m chatting with former Gartner analyst Sanjeev Mohan who is the Co-Author of Data Products for Dummies. Throughout our conversation, Sanjeev shares his expertise on the evolution of data products, and what he’s seen as a result of implementing practices that prioritize solving for use cases and business value. Sanjeev also shares a new approach of structuring organizations to best implement ownership and accountability of data product outcomes. Sanjeev and I also explore the common challenges of product adoption and who is responsible for user experience. I purposefully had Sanjeev on the show because I think we have pretty different perspectives from which we see the data product space.

Highlights/ Skip to:

I introduce Sanjeev Mohan, co-author of Data Products for Dummies (00:39) Sanjeev expands more on the concept of writing a “for Dummies” book   (00:53) Sanjeev shares his definition of a data product, including both a technical and a business definition (01:59) Why Sanjeev believes organizational changes and accountability are the keys to preventing the acceleration of shipping data products with little to no tangible value (05:45) How Sanjeev recommends getting buy-in for data product ownership from other departments in an organization (11:05) Sanjeev and I explore adoption challenges and the topic of user experience (13:23) Sanjeev explains what role is responsible for user experience and design (19:03) Who should be responsible for defining the metrics that determine business value (28:58) Sanjeev shares some case studies of companies who have adopted this approach to data products and their outcomes (30:29) Where companies are finding data product managers currently (34:19) Sanjeev expands on his perspective regarding the importance of prioritizing business value and use cases (40:52) Where listeners can get Data Products for Dummies, and learn more about Sanjeev’s work (44:33)

Quotes from Today’s Episode “You may slap a label of data product on existing artifact; it does not make it a data product because there’s no sense of accountability. In a data product, because they are following product management best practices, there must be a data product owner or a data product manager. There’s a single person [responsible for the result]. — Sanjeev Mohan (09:31)

“I haven’t even mentioned the word data mesh because data mesh and data products, they don’t always have to go hand-in-hand. I can build data products, but I don’t need to go into the—do all of data mesh principles.” – Sanjeev Mohan (26:45)

“We need to have the right organization, we need to have a set of processes, and then we need a simplified technology which is standardized across different teams. So, this way, we have the benefit of reusing the same technology. Maybe it is Snowflake for storage, DBT for modeling, and so on. And the idea is that different teams should have the ability to bring their own analytical engine.” – Sanjeev Mohan (27:58)

“Generative AI, right now as we are recording, is still in a prototyping phase. Maybe in 2024, it’ll go heavy-duty production. We are not in prototyping phase for data products for a lot of companies. They’ve already been experimenting for a year or two, and now they’re actually using them in production. So, we’ve crossed that tipping point for data products.” – Sanjeev Mohan (33:15)

“Low adoption is a problem that’s not just limited to data products. How long have we had data catalogs, but they have low adoption. So, it’s a common problem.” – Sanjeev Mohan (39:10)

“That emphasis on technology first is a wrong approach. I tell people that I’m sorry to burst your bubble, but there are no technology projects, there are only business projects. Technology is an enabler. You don’t do technology for the sake of technology; you have to serve a business cause, so let’s start with that and keep that front and center.” – Sanjeev Mohan (43:03)

Links Data Products for Dummies: https://www.dataops.live/dataproductsfordummies “What Exactly is A Data Product” article: https://medium.com/data-mesh-learning/what-exactly-is-a-data-product-7f6935a17912 It Depends: https://www.youtube.com/@SanjeevMohan Chief Data Analytics and Product Officer of Equifax: https://www.youtube.com/watch?v=kFY7WGc-jFM SanjMo Consulting: https://www.sanjmo.com/ dataops.live: https://dataops.live dataops.live/dataproductsfordummies: https://dataops.live/dataproductsfordummies LinkedIn: https://www.linkedin.com/in/sanjmo/ Medium articles: https://sanjmo.medium.com