London AI Developers Group

AI Webinar - Building an AI-Ready Data Backbone

Thu, Mar 26 · 5:00 PM GMT

·

Online

Online

Important: Register on the Event Website to receive joining link. (rsvp on meetup will NOT receive joining link).
This is virtual event for our AI global community, please double-check your local time.
Can't make it live? Register anyway to receive the webinar recording.

Description:
Welcome to the weekly AI Deep Dive Webinar Series (Virtual) with Aiven and Google Cloud. Join us for deep dive tech talks on AI, GenAI, LLMs, Agentic AI, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.
This is virtual event for our AI global community, please double-check your local time. Can't make it live? Register anyway to receive the webinar recording.
Join Aiven and Google Cloud to learn how to build an AI-Ready data backbone.

Tech Talk: Building an AI-Ready Data Backbone
Speaker: Dmitry Kan (Aiven)
Abstract: In the era of Generative AI, the true differentiator for successful application deployment isn't the model—it's the underlying data infrastructure. Many enterprises struggle to transition from siloed, legacy data platforms to a scalable, real-time data backbone capable of fueling modern AI and search applications.

This webinar will dive into the essential components of building a robust, AI-ready data foundation, focusing specifically on leveraging the power of Aiven for OpenSearch integrated with Google Cloud. Attendees will learn practical strategies for establishing a unified data platform that supports high-velocity indexing, advanced vector search, and multimodal data storage.
We will explore how to seamlessly ingest, process, and enrich data streams on Google Cloud, ensuring your data is clean, secure, and immediately accessible for AI workloads. Discover how this powerful combination accelerates your time-to-value for RAG (Retrieval-Augmented Generation) architectures, intelligent search, and operational analytics, transforming your data from a cost center into a core competitive advantage.

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
Venue:
virtual, join from anywhere.
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 500K+ worldwide.
More upcoming sessions:

• Mar 18: AI Meetup (Virtual) - AI in Industry: From Hype to Operational Reality

Local and Global AI Community on Discord
Join us on discord for local and global AI tech community:
- Events chat: chat and connect with speakers and global and local attendees;
- Learning AI: events, learning materials, study groups;
- Startups: innovation, projects collaborations, founders/co-founders;
- Jobs and Careers: job openings, post resumes, hiring managers

Agentic AI Meetup (April) with Google

Tue, Apr 7 · 5:00 PM BST

Google Cloud Startup Hub, 4-5 Bonhill Street, London, EC2A 4BX, UK, London, GB

Important: Register on the event website is required for admission.

Welcome to the AI meetup in London, in collaboration with Google Cloud. Join us for deep dive tech talks on AI, GenAI, LLMs and Agents, hands-on experiences on code labs, workshops, and networking with speakers and fellow developers.

Speakers/Topics:
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.

Open Source Data with Kafka, PostgreSQL, and ClickHouse

Wed, Apr 8 · 4:00 PM BST

Location not specified yet

Important: Register on the event website is required for admission.
RSVP on meetup is turned off

Enjoy afterwork drinks and practical discussions on Apache Kafka, ClickHouse, PostgreSQL and much more.
Enjoy a session designed for data engineers, architects and technical decisions-makers like you, who want to address the challenges they face in data-infrastructure. No high-level pitches but straight into practical discussions on how to build scalable, efficient open sourced-powered data platforms.

Why Attend?

• Connect with local data and tech professionals
• Get practical insights into streaming, storage, and analytics with Kafka, Iceberg, PostgreSQL, and ClickHouse
• Learn how to reduce operational overhead while scaling your data infrastructure performance
• Bring your questions and challenges for direct discussions with Aiven experts

Agenda:

• 4:00pm~4:30pm: Checkin, Food, Networking
• 4:30pm~6:00pm: Tech talks and Q&A
• 6:00pm~7:00pm: Happy hour, Open discussion, Networking

Tech Talk: Context Is the New Infrastructure
Speaker: Stan Dmitriev (Aiven)

Tech Talk: Apache Kafka on Aiven
Speaker: Hugh Evans (Aiven)

AI Deep Dive (Virtual) - AI-Ready Data Framework with Agent Skills

Wed, Apr 15 · 6:00 PM BST

·

Online

Online

Important: Register on the to receive joining
Event Website link. (rsvp on meetup will NOT receive joining link).
This is virtual event for our AI global community, please double-check your local time.
Can't make it live? Register anyway to receive the webinar recording.

Description:
Welcome to the AI Deep Dive Series (Virtual) with Snowflake. Join us for deep dive tech talks on AI, GenAI, LLMs, Agentic AI, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.
This is virtual event for our AI global community, please double-check your local time. Can't make it live? Register anyway to receive the webinar recording.
Join Snowflake to learn how to evaluate AI Agent Reliability.

Tech Talk: How to Make Your Data AI-Ready
Speaker: Jacob Prall (Snowflake)
Abstract: Most AI initiatives fail because they're built on data that isn't ready for the demands of AI workloads. The result? Poor results, wasted effort, and broken trust. How do you know when your data is AI-ready, and how do you make it ready?
In this webinar, we will introduce the AI-Ready Data Framework, an open standard that defines AI-readiness and provides a suite of agent Skills to help you assess your data, identify gaps, and apply remediations to make your data ready for RAG, agents, and training.

Key takeaways:

• How to tell if your AI problems are really data problems: A practical diagnostic lens for spotting readiness gaps behind hallucinations, weak retrieval, and more.
• How to set the right bar for each workload: Compare what RAG, agents, and model training each require so your team can prioritize the right investments.
• How to close the gap: Learn practical approaches teams use to address data-readiness gaps once they are identified.

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

Venue:
virtual, join from anywhere.

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 500K+ worldwide.

More upcoming sessions and Past sessions

• Recordings for all Past episodes: Link

Local and Global AI Community on Discord
Join us on discord for local and global AI tech community:
- Events chat: chat and connect with speakers and global and local attendees;
- Learning AI: events, learning materials, study groups;
- Startups: innovation, projects collaborations, founders/co-founders;
- Jobs and Careers: job openings, post resumes, hiring managers