talk-data.com

We're excited to invite you to our next Meetup, co-hosted with the London Java Community!

Join fellow graph enthusiasts, Neo4j developers, and members of the Java community as we explore how graphs, knowledge graphs, and context engineering can unlock smarter applications and better answers. We’ll also uncover how AI-generated code can be weaponized, exposing hidden vulnerabilities in the software we trust. Whether you’re curious about building with graph-powered AI or safeguarding your projects from new threats, this meetup will give you insights you can put into practice.

Session 1: Black Friday Brilliance: Managing a Billion Transactions with Tech, Tactics, and Teamwork by Jamie Colmans

The Black Friday and Cyber Monday period is one of the busiest times in the retail calendar, both in stores and online, and here at Loqate our customers rely on our infrastructure to support their businesses at this crucial time. Over the four-day BFCM period in 2023 we processed over 1 billion requests to our APIs, and we managed this with greater than 99.99% availability! We've seen our request volume increase over 100x in the last 10 years, and managing this requires the right technologies, careful planning, and a great team of people.

With insightful commentary from a cross-section of our brilliant Dev team, I’ll talk you through how we scale our infrastructure to support these increases in traffic, and some of the technologies and processes we use. I’ll also give some insights into how the team works together over this busy period to keep everything running smoothly.

Session 2: WhatsThat? Using graphs and AI to make sense of your friends WhatsApp group by Martin O'Hanlon

Communication, messaging, and memory are complicated. How are you supposed to keep up with it all? It's difficult for you to keep up with the constant stream of messages you get. How can we expect an LLM to do the same? Let's look at how we can use graphs and AI to summarise the complex streams of messages you get in that oddly titled WhatsApp group.

We look forward to connecting with the community to exchange ideas on graphs, tech, and AI - join the discussion!

Agents need timely and relevant context data to work effectively in an interactive environment. If an agent takes more than a few seconds to react to an action in a client applicatoin, users will not perceive it as intelligent - just laggy.

Real-time context engineering involves building real-time data pipelines to pre-process application data and serve relevant and timely context to agents. This talk will focus on how you can leverage application identifiers (user ID, session ID, article ID, order ID, etc) to identify which real-time context data to provide to agents. We will contrast this approach with the more traditional RAG approach of using vector indexes to retrieve chunks of relevent text using the user query. Our approach will necessitate the introduction of the Agent-to-Agent protocol, an emerging standard for defining APIs for agents.

We will also demonstrate how we provide real-time context data from applications inside Python agents using the Hopsworks feature store. We will walk through an example of an interactive application (TikTok clone).

Artificial intelligence is rapidly evolving from experimentation to enterprise scale engineering. Yet many organisations struggle to turn AI pilots into governed and reliable operational systems. Models work in silos, starving context and control, while fragmented data and disconnected tools add layers of complexity. Recent studies show that while nearly 8 in 10 enterprises are experimenting with AI, only a few are successful. Instead of accelerating transformation, AI ends up slowing it. This leaves leaders searching for a way to unify intelligence and governed data into one integrated system.

At Cloudaeon, we help enterprises close that gap. Our Data and AI leaders have built practical frameworks that make AI easier to scale and manage, turning scattered initiatives into a connected system where intelligence and automation work together.

Featuring guest speaker: Rajkumar Manoharan- Chief Architect,Cloudaeon Amol Malpani- CTO, Cloudaeon Ashutosh Suryawanshi- Lead AI Engineer, Cloudaeon

In this webinar, you’ll see in action:

• RAG accelerator that delivers accurate, enterprise grade answers from all your data, with built in feedback loops that continuously enhance quality and trust faster.
• Leverage the MCP Server Hub to unify organisational knowledge by connecting databases, Confluence, APIs and more for context rich AI agents.
• Deploy the A2A Server to enable shared, reusable AI agents that collaborate and scale across teams and projects.

Together, these form the foundation of an intelligent enterprise, one where AI is transparent and built for scale. With Cloudaeon’s experience in enterprise delivery, you can move from isolated experiments to real business impact with confidence.

Submit your use case and get a free AI Proof of Concept. See how Cloudaeon can turn your ideas into enterprise scale results.

Register Here

[Developer Day] Developer Experience in Practice: Developer Portal, Observability & Identity with Kong Konnect

In preparation for this Developer Day, check out the recordings from our Workshops leading up to it:

1. Kong Konnect Automations 101: Introduction to API Platform-as-a-Service Concepts and Delivery Methods

2. [Workshop] Kong Konnect Automations 201: APIOps in Action - Automating the API Lifecycle with Kong Konnect

This hands-on Developer Day builds on the first two workshops (Platform setup and APIOps automation) to deliver a complete developer experience. You’ll stand up a Kong Konnect Developer Portal with self-registration and application onboarding, wire the portal to an OIDC identity provider for SSO and token issuance, and publish APIs and docs from your APIOps pipeline.

In parallel, you’ll configure Konnect Analytics to capture metrics and usage data from your Kong gateways and services. By the end, platform teams will have clear guardrails and automation, while API and app teams get a governed, self-service path from discovery to secure consumption—backed by actionable analytics.

Key Takeaways

• Configure the Konnect Developer Portal with self-registration, app credentials, and approval workflows.
• Integrate an OIDC IdP for SSO, role mapping, and token issuance for portal users and applications.
• Automate API and documentation publishing to the portal from your APIOps (GitOps/CI) pipeline.
• Set up Konnect Analytics to collect and visualize API consumption and performance metrics.
• Split responsibilities: platform teams provide guardrails and automation; API teams manage products and docs; app teams self-serve access.
• Produce a reusable reference implementation you can adapt to your organization’s environment.

Register Here

[Developer Day] Developer Experience in Practice: Developer Portal, Observability & Identity with Kong Konnect

In preparation for this Developer Day, check out the recordings from our Workshops leading up to it:

1. Kong Konnect Automations 101: Introduction to API Platform-as-a-Service Concepts and Delivery Methods

2. [Workshop] Kong Konnect Automations 201: APIOps in Action - Automating the API Lifecycle with Kong Konnect

This hands-on Developer Day builds on the first two workshops (Platform setup and APIOps automation) to deliver a complete developer experience. You’ll stand up a Kong Konnect Developer Portal with self-registration and application onboarding, wire the portal to an OIDC identity provider for SSO and token issuance, and publish APIs and docs from your APIOps pipeline.

In parallel, you’ll configure Konnect Analytics to capture metrics and usage data from your Kong gateways and services. By the end, platform teams will have clear guardrails and automation, while API and app teams get a governed, self-service path from discovery to secure consumption—backed by actionable analytics.

Key Takeaways

• Configure the Konnect Developer Portal with self-registration, app credentials, and approval workflows.
• Integrate an OIDC IdP for SSO, role mapping, and token issuance for portal users and applications.
• Automate API and documentation publishing to the portal from your APIOps (GitOps/CI) pipeline.
• Set up Konnect Analytics to collect and visualize API consumption and performance metrics.
• Split responsibilities: platform teams provide guardrails and automation; API teams manage products and docs; app teams self-serve access.
• Produce a reusable reference implementation you can adapt to your organization’s environment.

Register Here

[Developer Day] Developer Experience in Practice: Developer Portal, Observability & Identity with Kong Konnect

In preparation for this Developer Day, check out the recordings from our Workshops leading up to it:

1. Kong Konnect Automations 101: Introduction to API Platform-as-a-Service Concepts and Delivery Methods

2. [Workshop] Kong Konnect Automations 201: APIOps in Action - Automating the API Lifecycle with Kong Konnect

This hands-on Developer Day builds on the first two workshops (Platform setup and APIOps automation) to deliver a complete developer experience. You’ll stand up a Kong Konnect Developer Portal with self-registration and application onboarding, wire the portal to an OIDC identity provider for SSO and token issuance, and publish APIs and docs from your APIOps pipeline.

In parallel, you’ll configure Konnect Analytics to capture metrics and usage data from your Kong gateways and services. By the end, platform teams will have clear guardrails and automation, while API and app teams get a governed, self-service path from discovery to secure consumption—backed by actionable analytics.

Key Takeaways

• Configure the Konnect Developer Portal with self-registration, app credentials, and approval workflows.
• Integrate an OIDC IdP for SSO, role mapping, and token issuance for portal users and applications.
• Automate API and documentation publishing to the portal from your APIOps (GitOps/CI) pipeline.
• Set up Konnect Analytics to collect and visualize API consumption and performance metrics.
• Split responsibilities: platform teams provide guardrails and automation; API teams manage products and docs; app teams self-serve access.
• Produce a reusable reference implementation you can adapt to your organization’s environment.

Register Here

[Developer Day] Developer Experience in Practice: Developer Portal, Observability & Identity with Kong Konnect

In preparation for this Developer Day, check out the recordings from our Workshops leading up to it:

1. Kong Konnect Automations 101: Introduction to API Platform-as-a-Service Concepts and Delivery Methods

2. [Workshop] Kong Konnect Automations 201: APIOps in Action - Automating the API Lifecycle with Kong Konnect

This hands-on Developer Day builds on the first two workshops (Platform setup and APIOps automation) to deliver a complete developer experience. You’ll stand up a Kong Konnect Developer Portal with self-registration and application onboarding, wire the portal to an OIDC identity provider for SSO and token issuance, and publish APIs and docs from your APIOps pipeline.

In parallel, you’ll configure Konnect Analytics to capture metrics and usage data from your Kong gateways and services. By the end, platform teams will have clear guardrails and automation, while API and app teams get a governed, self-service path from discovery to secure consumption—backed by actionable analytics.

Key Takeaways

• Configure the Konnect Developer Portal with self-registration, app credentials, and approval workflows.
• Integrate an OIDC IdP for SSO, role mapping, and token issuance for portal users and applications.
• Automate API and documentation publishing to the portal from your APIOps (GitOps/CI) pipeline.
• Set up Konnect Analytics to collect and visualize API consumption and performance metrics.
• Split responsibilities: platform teams provide guardrails and automation; API teams manage products and docs; app teams self-serve access.
• Produce a reusable reference implementation you can adapt to your organization’s environment.

Register Here

Take the next step in your API platform journey by mastering APIOps automation with Kong Konnect. This hands-on workshop builds on the foundational concepts introduced in Kong Konnect Automations: Introduction to API Platform-as-a-Service Concepts and Delivery Methods, shifting the focus from platform setup to end-to-end API lifecycle automation.

Learn how to implement APIOps pipelines that seamlessly move APIs from design to deployment—without manual handoffs. We’ll walk through designing API contracts, automating gateway configurations, and enforcing governance and security policies as code. Explore how platform teams can define guardrails and reusable patterns, while API product teams gain autonomy to iterate and deploy APIs with speed and confidence.

Key Takeaways:

• Design a GitOps-driven APIOps pipeline for API publishing, versioning, and deployment to Kong Konnect.
• Apply automated governance: enforce linting, style guides, and approval gates across the API lifecycle.
• Separate responsibilities between platform teams (infrastructure and governance) and API teams (API design and product delivery).
• Integrate API specifications (e.g., OpenAPI) into CI/CD workflows for fully automated, policy-compliant API gateway provisioning.
• Build a reusable reference APIOps workflow to take back to your organization.

Through live demos and real-world patterns you’ll leave with a clear blueprint for running APIs as products, at scale, through automation.

Register Here

Take the next step in your API platform journey by mastering APIOps automation with Kong Konnect. This hands-on workshop builds on the foundational concepts introduced in Kong Konnect Automations: Introduction to API Platform-as-a-Service Concepts and Delivery Methods, shifting the focus from platform setup to end-to-end API lifecycle automation.

Learn how to implement APIOps pipelines that seamlessly move APIs from design to deployment—without manual handoffs. We’ll walk through designing API contracts, automating gateway configurations, and enforcing governance and security policies as code. Explore how platform teams can define guardrails and reusable patterns, while API product teams gain autonomy to iterate and deploy APIs with speed and confidence.

Key Takeaways:

• Design a GitOps-driven APIOps pipeline for API publishing, versioning, and deployment to Kong Konnect.
• Apply automated governance: enforce linting, style guides, and approval gates across the API lifecycle.
• Separate responsibilities between platform teams (infrastructure and governance) and API teams (API design and product delivery).
• Integrate API specifications (e.g., OpenAPI) into CI/CD workflows for fully automated, policy-compliant API gateway provisioning.
• Build a reusable reference APIOps workflow to take back to your organization.

Through live demos and real-world patterns you’ll leave with a clear blueprint for running APIs as products, at scale, through automation.

Register Here

Take the next step in your API platform journey by mastering APIOps automation with Kong Konnect. This hands-on workshop builds on the foundational concepts introduced in Kong Konnect Automations: Introduction to API Platform-as-a-Service Concepts and Delivery Methods, shifting the focus from platform setup to end-to-end API lifecycle automation.

Learn how to implement APIOps pipelines that seamlessly move APIs from design to deployment—without manual handoffs. We’ll walk through designing API contracts, automating gateway configurations, and enforcing governance and security policies as code. Explore how platform teams can define guardrails and reusable patterns, while API product teams gain autonomy to iterate and deploy APIs with speed and confidence.

Key Takeaways:

• Design a GitOps-driven APIOps pipeline for API publishing, versioning, and deployment to Kong Konnect.
• Apply automated governance: enforce linting, style guides, and approval gates across the API lifecycle.
• Separate responsibilities between platform teams (infrastructure and governance) and API teams (API design and product delivery).
• Integrate API specifications (e.g., OpenAPI) into CI/CD workflows for fully automated, policy-compliant API gateway provisioning.
• Build a reusable reference APIOps workflow to take back to your organization.

Through live demos and real-world patterns you’ll leave with a clear blueprint for running APIs as products, at scale, through automation.

Register Here

Take the next step in your API platform journey by mastering APIOps automation with Kong Konnect. This hands-on workshop builds on the foundational concepts introduced in Kong Konnect Automations: Introduction to API Platform-as-a-Service Concepts and Delivery Methods, shifting the focus from platform setup to end-to-end API lifecycle automation.

Learn how to implement APIOps pipelines that seamlessly move APIs from design to deployment—without manual handoffs. We’ll walk through designing API contracts, automating gateway configurations, and enforcing governance and security policies as code. Explore how platform teams can define guardrails and reusable patterns, while API product teams gain autonomy to iterate and deploy APIs with speed and confidence.

Key Takeaways:

• Design a GitOps-driven APIOps pipeline for API publishing, versioning, and deployment to Kong Konnect.
• Apply automated governance: enforce linting, style guides, and approval gates across the API lifecycle.
• Separate responsibilities between platform teams (infrastructure and governance) and API teams (API design and product delivery).
• Integrate API specifications (e.g., OpenAPI) into CI/CD workflows for fully automated, policy-compliant API gateway provisioning.
• Build a reusable reference APIOps workflow to take back to your organization.

Through live demos and real-world patterns you’ll leave with a clear blueprint for running APIs as products, at scale, through automation.

From Canvas to Culture – Real-World Lessons in API Product Strategy

Registration on https://tally.so/r/mZ7YbV required.

Join us for a hands-on, after-work meetup series where API professionals explore APIOps and familiarize themselves with the APIOps Cycles method and how it helps human and AI collaboration and productivity. Whether designing APIs, managing platforms, or leading teams, this is your chance to connect with peers, learn best practices, and explore how to deliver APIs that create real business value.

Why Attend? Discover Lean-inspired API methods that reduce waste and increase alignment. Get inspired by real-world examples from across industries. Network with API leaders, developers, and architects in your city. Learn about upcoming tools, training, and community opportunities.

Format: Short talks, group activities/demos, community Q&A Snacks and informal networking

Hosts & Speakers: Marjukka Niinioja, creator of the APIOps Cycles method, co-author of API Economy 101 https://www.linkedin.com/in/marjukkaniinioja/ Local API experts and meetup communities Co-hosted in partner offices (codecentric AG)

Languages: Primarily English.

Cost: Free to attend – registration on https://tally.so/r/mZ7YbV required.

Pre-registration is REQUIRED. Add to your calendar - https://hubs.li/Q03z5c0Z0

AI agents are only as effective as the APIs they rely on, and most infrastructure isn’t ready.

This session presents a strategic 90-day playbook designed for engineering leaders who want to prepare their APIs for intelligent automation. You’ll learn how to transform fragmented systems into structured, machine-readable interfaces that AI agents can discover, understand, and execute with confidence.

We’ll cover a phased approach for modernizing your API ecosystem, including: - Building clean\, discoverable APIs with AI-consumable documentation - Creating infrastructure that supports real-time\, automated workflows - Deploying and scaling AI agents across business-critical operations

If your AI roadmap depends on dependable, scalable APIs, this session offers the blueprint to get there quickly.

Speaker: Talia Kohan, Staff Developer Advocate at Postman

Talia helps developers build, test, and scale APIs and AI-powered applications. With a background in software engineering and developer experience, she works closely with technical teams to share best practices in modern API development. Talia is a global keynote speaker known for translating complex topics into clear, actionable insights, and she’s passionate about empowering teams to turn APIs into intelligent, scalable systems.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q038cQBy0 • Code of conduct: https://odsc.com/code-of-conduct/

Pre-registration is REQUIRED. Add to your calendar - https://hubs.li/Q03z5c0Z0

AI agents are only as effective as the APIs they rely on, and most infrastructure isn’t ready.

This session presents a strategic 90-day playbook designed for engineering leaders who want to prepare their APIs for intelligent automation. You’ll learn how to transform fragmented systems into structured, machine-readable interfaces that AI agents can discover, understand, and execute with confidence.

We’ll cover a phased approach for modernizing your API ecosystem, including: - Building clean\, discoverable APIs with AI-consumable documentation - Creating infrastructure that supports real-time\, automated workflows - Deploying and scaling AI agents across business-critical operations

If your AI roadmap depends on dependable, scalable APIs, this session offers the blueprint to get there quickly.

Speaker: Talia Kohan, Staff Developer Advocate at Postman

Talia helps developers build, test, and scale APIs and AI-powered applications. With a background in software engineering and developer experience, she works closely with technical teams to share best practices in modern API development. Talia is a global keynote speaker known for translating complex topics into clear, actionable insights, and she’s passionate about empowering teams to turn APIs into intelligent, scalable systems.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q038cQBy0 • Code of conduct: https://odsc.com/code-of-conduct/

Pre-registration is REQUIRED. Add to your calendar - https://hubs.li/Q03z5c0Z0

AI agents are only as effective as the APIs they rely on, and most infrastructure isn’t ready.

This session presents a strategic 90-day playbook designed for engineering leaders who want to prepare their APIs for intelligent automation. You’ll learn how to transform fragmented systems into structured, machine-readable interfaces that AI agents can discover, understand, and execute with confidence.

We’ll cover a phased approach for modernizing your API ecosystem, including: - Building clean\, discoverable APIs with AI-consumable documentation - Creating infrastructure that supports real-time\, automated workflows - Deploying and scaling AI agents across business-critical operations

If your AI roadmap depends on dependable, scalable APIs, this session offers the blueprint to get there quickly.

Speaker: Talia Kohan, Staff Developer Advocate at Postman

Talia helps developers build, test, and scale APIs and AI-powered applications. With a background in software engineering and developer experience, she works closely with technical teams to share best practices in modern API development. Talia is a global keynote speaker known for translating complex topics into clear, actionable insights, and she’s passionate about empowering teams to turn APIs into intelligent, scalable systems.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q038cQBy0 • Code of conduct: https://odsc.com/code-of-conduct/

Pre-registration is REQUIRED. Add to your calendar - https://hubs.li/Q03z5c0Z0

AI agents are only as effective as the APIs they rely on, and most infrastructure isn’t ready.

This session presents a strategic 90-day playbook designed for engineering leaders who want to prepare their APIs for intelligent automation. You’ll learn how to transform fragmented systems into structured, machine-readable interfaces that AI agents can discover, understand, and execute with confidence.

We’ll cover a phased approach for modernizing your API ecosystem, including: - Building clean\, discoverable APIs with AI-consumable documentation - Creating infrastructure that supports real-time\, automated workflows - Deploying and scaling AI agents across business-critical operations

If your AI roadmap depends on dependable, scalable APIs, this session offers the blueprint to get there quickly.

Speaker: Talia Kohan, Staff Developer Advocate at Postman

Talia helps developers build, test, and scale APIs and AI-powered applications. With a background in software engineering and developer experience, she works closely with technical teams to share best practices in modern API development. Talia is a global keynote speaker known for translating complex topics into clear, actionable insights, and she’s passionate about empowering teams to turn APIs into intelligent, scalable systems.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q038cQBy0 • Code of conduct: https://odsc.com/code-of-conduct/

Fabric Operations Console is a Hyperledger Lab focused on the deployment, operation, and governance of Hyperledger Fabric-based nodes and networks. It offers a comprehensive suite of web-based UIs and APIs designed to help HL Fabric administrators efficiently manage networks in decentralized environments across various infrastructures.

Join us for a session focused on the Fabric Operations Console capabilities. We’ll start with an introduction to the Fabric Operations Console, highlight its key features and do a demo on its network governance features.

Fabric Operations Console is a Hyperledger Lab focused on the deployment, operation, and governance of Hyperledger Fabric-based nodes and networks. It offers a comprehensive suite of web-based UIs and APIs designed to help HL Fabric administrators efficiently manage networks in decentralized environments across various infrastructures.

Join us for a session focused on the Fabric Operations Console capabilities. We’ll start with an introduction to the Fabric Operations Console, highlight its key features and do a demo on its network governance features.

Fabric Operations Console is a Hyperledger Lab focused on the deployment, operation, and governance of Hyperledger Fabric-based nodes and networks. It offers a comprehensive suite of web-based UIs and APIs designed to help HL Fabric administrators efficiently manage networks in decentralized environments across various infrastructures.

Join us for a session focused on the Fabric Operations Console capabilities. We’ll start with an introduction to the Fabric Operations Console, highlight its key features and do a demo on its network governance features.

Fabric Operations Console is a Hyperledger Lab focused on the deployment, operation, and governance of Hyperledger Fabric-based nodes and networks. It offers a comprehensive suite of web-based UIs and APIs designed to help HL Fabric administrators efficiently manage networks in decentralized environments across various infrastructures.

Join us for a session focused on the Fabric Operations Console capabilities. We’ll start with an introduction to the Fabric Operations Console, highlight its key features and do a demo on its network governance features.