Hey everyone, hope you can join us for this user group. We will kick off with a rundown of the latest Microsoft security news, then have two awesome speaker sessions, ending with prizes and giveaways.

Wednesday 21st January 2026 Times below in UTC/UK.

• 1800-1815 -- Kick off and latest Microsoft security news
• 1815-1900 -- Fabio Bonolo - The EU AI Act 2024: How Copilot and ChatGPT Fare
• 1900-1915 -- Break/over run
• 1915-2000 -- Per-Torben Sørensen & Åsne (Aasne) Holtklimpen - Urgent Access Without Security Compromise!
• 2000 -- Packt + ENow giveaways - books + vouchers

*** Please note that sessions are NOT recorded. ***

Unlock the power of Oracle Database 23AI and Autonomous Database Serverless (ADB-S) with this comprehensive guide to the latest innovations in performance, security, automation, and AI-driven optimization. As enterprises embrace intelligent and autonomous data platforms, understanding these capabilities is essential for data architects, developers, and DBAs. Explore cutting-edge features such as vector data types and AI-powered vector search, revolutionizing data retrieval in modern AI applications. Learn how schema privileges and the DB_DEVELOPER_ROLE simplify access control in multi-tenant environments. Dive into advanced auditing, SQL Firewall, and data integrity constraints to strengthen security and compliance. Discover AI-driven advancements like machine learning-based query execution, customer retention prediction, and AI-powered query tuning. Additional chapters cover innovations in JSON, XML, JSON-Relational Duality Views, new indexing techniques, SQL property graphs, materialized views, partitioning, lock-free transactions, JavaScript stored procedures, blockchain tables, and automated bigfile tablespace shrinking. What sets this book apart is its practical focus—each chapter includes real-world case studies and executable scripts, enabling professionals to implement these features effectively in enterprise environments. Whether you're optimizing performance or aligning IT with business goals, this guide is your key to building scalable, secure, and AI-powered solutions with Oracle 23AI and ADB-S. What You Will Learn Explore Oracle 23AI's latest features through real-world use cases Implement AI/ML-driven optimizations for smarter, autonomous database performance Gain hands-on experience with executable scripts and practical coding examples Strengthen security and compliance using advanced auditing, SQL Firewall, and blockchain tables Master high-performance techniques for query tuning, in-memory processing, and scalability Revolutionize data access with AI-powered vector search in modern AI workloads Simplify user access in multi-tenant environments using schema privileges and DB_DEVELOPER_ROLE Model and query complex data using JSON-Relational Duality Views and SQL property graphs Who this Book is For Database architects, data engineers, Oracle developers, and IT professionals seeking to leverage Oracle 23AI’s latest features for real-world applications

Official OpenAPI Initiative Masterclass & Certification with Erik Wilde and Frank Kilcommins

This event is in English To attend, you must buy a ticket on this page. Seats are limited.

Description

This in-person masterclass, delivered by Frank Kilcommins and Erik Wilde, explores how modern API management practices and OpenAPI standards are evolving to meet the challenges and opportunities of the AI-driven digital landscape. You will understand not only how to use OpenAPI effectively, but also how its new specifications (Arazzo and Overlays) enable automation, orchestration, and AI-driven architectures.

Through live demonstrations, guided exercises, and expert discussions, participants will learn how to design, govern, and evolve API ecosystems that power AI, while maintaining quality, security, interoperability, and compliance.

This workshop is not limited to developers. It is for anyone who needs a deeper understanding of what it means to take an API landscape into the AI age. Exercises are designed to illustrate concepts and enable experimentation. Participants must bring a laptop with internet access (Wi-Fi provided).

➡️ An official OpenAPI initiative certificate will be delivered upon success!

Your instructors

Erik Wilde

experienced and internationally known professional in the space of digital transformation and API strategy and management. Erik has a degree in computer science from TU Berlin and a PhD from ETH Zurich. Erik works at Jentic as Head of Enterprise Strategy, where he helps organizations to build the bridge between their API landscapes and their AI ambitions. He is the author of many articles and papers, various books, multiple standards, and regularly speaks at conferences around the globe. Erik’s « Getting APIs to Work » channel on YouTube is a place where developers, IT professionals, product managers, and digital leaders get regular updates about technologies, tools, events, standards, and the global API community. Erik is an OpenAPI Ambassador, organizing and speaking at events around the globe to promote the use of standards and help realize their full potential.

Frank Kilcommins

Head of Enterprise Architecture at Jentic, where he leads efforts to bridge APIs and AI through resilient, open standards-based design and tooling. Over his 15-plus years in technology, Frank has helped define how enterprises design, scale, and govern APIs, from driving API-led digital transformations inside major multinationals to serving as Principal API Technical Evangelist at SmartBear, where he worked across the full API lifecycle spanning thousands of APIs. As a member of the OpenAPI Initiative’s Business Governance Board, he helped guide the evolution of the OAI from a single-specification body to a multi-spec standards ecosystem. Most notably, he is the co-author of the Arazzo Specification, now becoming the blueprint for how AI agents orchestrate workflows safely and predictably. At Jentic, Frank’s mission is to ensure that enterprise API investments deliver real value in the AI era in ways that are performant, predictable, energy efficient, secure, auditable, and compatible with existing architectures

Both instructors are active contributors to the OpenAPI Initiative and involved in shaping the next generation of API standards.

Who should attend

Backend Developers API Designers Solutions Architects Product Managers Platform & Integration Teams Technical Leaders looking to modernize their API practices for AI-driven use cases

What you’ll learn

Knowledge

• Understand the strategic role of APIs in enabling AI-powered products and platforms
• Explain how OpenAPI supports automation, governance, and collaboration across teams
• Identify the components and value of a modern API management strategy in the AI era
• Understand the new OAI standards: Arazzo and Overlay

Skills

• Use OpenAPI to document and manage APIs consistently
• Improve API quality, compliance, discovery, and AI-readiness
• Implement best practices for integrating APIs and AI systems effectively
• Know how to use Overlay and Arazzo in your API lifecycle management

Competencies

• Align API management with organizational innovation and AI strategies
• Communicate the business value of OpenAPI standards adoption to technical and business audiences
• Drive sustainable API-first initiatives through governance and intelligent automation

Practical details

📅 December 10, 2025 – 13:30 to 17:30 📌 CNIT – Paris La Défense 💻 Bring your laptop (Wi-Fi provided) 🌐 English session ♿ Accessible venue 📩 For accommodations or questions: [email protected] 🎫 Book here This masterclass follows Qualiopi recommendations. You will receive a training contract by email.

About the Hosts

**Elena Avramenko & Dmitrii (Dima) Abramov - Lovable **🫶 Ambassadors, Amsterdam ❌❌❌

Elena Avramenko Product and growth leader with 15+ years at Microsoft, Miro, and LEGO. Currently building modaal.dev, an AI coding agent that lets non-engineers ship real native iOS and Android apps from plain-language prompts. She also partners with startups and scaleups as a fractional leader, helping teams accelerate growth and ship bold ideas fast.

Dmitrii (Dima) Abramov Product Lead @ Foundever and creator of the Vibe Coding community in Amsterdam. He helps people turn ideas into testable prototypes through strong discovery, rapid prototyping, and AI-assisted building. As a Lovable Ambassador, he hosts events that help builders learn, build, and ship with AI.

What This Event Is

A year-end mastermind session for builders. Bring your idea, prototype, landing page, MVP, or GTM challenge. Pitch it in 5–10 minutes and get fast, honest, actionable feedback from people who build and ship products. This is not a lecture. It’s open-mic pitches, structured feedback rounds, and relaxed networking over drinks.

📩 Pitch slots are limited — choose “I want to pitch” when registering. 🎁 Bonus: Best pitch wins 300 Lovable credits.

This Meetup Is For You If…

• You built something but don’t know the next step
• You need validation before investing more time
• You’re stuck on positioning, pricing, or GTM
• You want to meet other builders
• You’re exploring AI-powered product building

Format

18:30–18:50 — Check-in & networking 18:50–19:00 — Welcome + how the mastermind works 19:00–19:10 — Sponsor spotlight: Kreyo.ai 19:10–20:00 — Open-mic pitches (10 min each) + structured feedback 20:00–20:10 — Sponsor spotlight: Xolo 20:10–21:00 — Networking & conversations

What You Can Pitch

• A new idea you want to validate
• A prototype or MVP
• A landing page, feature, or experiment
• A positioning, pricing, or messaging challenge

What to Prepare

• 1–2 slides or a demo link
• One clear ask (e.g., “Does this value prop resonate?”)

Listening without pitching is also welcome.

What Happens After

Past attendees have:

• Refined their pricing and landed first customers
• Identified their true target audience
• Found collaborators
• Gotten unstuck and shipped their product

Goal: Momentum, clarity, community. 🚀

Supported By

Xolo Xolo.io makes solopreneurship simpler than employment. It handles taxes, compliance, and admin so you can focus on building your business, not paperwork. Trusted by 4,000+ customers across Spain, Italy, and the Netherlands. Get 1 month FREE here!

Kreyo Production-ready security for vibe-coded apps. Scan your GitHub repo, find real vulnerabilities, and fix them instantly using AI-generated prompts inside Lovable, Replit, Cursor, or Vercel.

Serving millions of users daily while adhering to strict compliance and reliability requirements makes delivery of high-scale AI services even more challenging. In this session, you'll discover how Slack integrated generative AI features to help users find and read information faster, exploring the architectural decisions they made to meet increasing demands while continuing to develop rich functions that help users save time daily. Learn how model flexibility on Amazon Bedrock and the accelerated performance of Amazon Nova at a low cost helped Slack grow exponentially in two years while maintaining security and reliability.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

This book serves as a comprehensive guide to mastering Microsoft Power Automate, offering step-by-step instructions for creating and managing low-code workflows. From beginner to advanced techniques, it covers cloud and RPA functionalities, enhanced by AI features like Co-pilot. You'll gain the skills to build, analyze, and optimize powerful automations tailored to your organization's needs. What this Book will help me do Understand and implement workflows using Power Automate's connectors and triggers for seamless integration. Utilize AI Builder and the Co-pilot feature to design intelligent workflows with generative AI capabilities. Master robotic process automation to bridge digital and legacy systems effectively. Learn to monitor and troubleshoot workflows while ensuring security and compliance in automation. Scale and govern enterprise-level workflows with best practices for maintainability. Author(s) Aaron Guilmette is a seasoned expert in the field of workflow automation with extensive experience in the Microsoft ecosystem. As the author of multiple books on Power Automate, Aaron combines technical depth with practical know-how. He brings a hands-on approach to guiding readers through advanced features, making automation accessible and effective. Who is it for? This book is ideal for power users, information workers, and citizen developers looking to integrate automation into their work. Whether you're new to automation or expanding your skills, this book provides actionable insights. Familiarity with the Microsoft 365 platform is recommended but not required, as the book covers foundational as well as advanced topics. It is perfect for anyone aiming to streamline workflows and drive efficiency in their projects or organization.

Enterprises today face increasing pressure to collaborate on data while maintaining security, governance, and regulatory compliance. In this session, we’ll showcase how Databricks and Palantir integrate to provide a powerful foundation for enterprise-scale data collaboration. Together, these platforms enable organisations to:

• Accelerate analytics & AI by unifying diverse datasets under a secure and governed model.
• Support decision intelligence with advanced modelling and shared data applications.
• Reduce time to value in highly regulated industries by streamlining compliance and governance.

Through real-world use cases, we’ll demonstrate how financial services, healthcare, and public sector organisations are already leveraging the Databricks + Palantir combination to:

• Break down silos while protecting sensitive data.
• Enable collaborative, cross-organisation analytics.
• Deliver insights and innovation faster with confidence.

Why attend? ✅ Discover how Databricks and Palantir complement each other in practice ✅ Learn strategies for secure and governed data sharing across teams and partners ✅ See how regulated industries are achieving faster, safer decision-making Join us to explore the future of trusted, collaborative data ecosystems powered by Databricks + Palantir.

This is the link to register to attend online. To register to attend in person, please use (In Person) Building a robust data foundation for AI success The Teams link will be published on the right of this page for those who have registered.

18:30: Building a robust data foundation for AI success - Maryleen Amaizu 19:30 Data News and Roundup 19:45 Finish

Session details: Building a robust data foundation for AI success - Maryleen Amaizu In the age of artificial intelligence, the fuel that drives innovation is not just code, but data. But having a data lake isn't enough. Join us as we explore 5 critical foundations that transform raw data into the driving force behind impactful AI solutions:

Data Strategy: Setting a clear vision for how your data will empower AI initiatives. Data Preparation: From collection to cleansing, mastering the art of preparing clean, annotated, and privacy-sensitive data for AI consumption. Data Governance: Ensuring data quality, security, and compliance to build trust and avoid pitfalls. Scalability and Infrastructure: Building a robust architecture that can handle the ever-growing volume and velocity of data. Feedback Loops: Continuously improving your AI models by feeding them high-quality, relevant feedback data. Using a real-world case study, we’ll deep dive into how we can embed privacy engineering and compliance into data pipelines — automating sensitive data detection, de-identification, and risk assessment to enable responsible and ethical AI development. You’ll walk away with practical insights and strategies to build strong data foundations that balance innovation with privacy and trust.

Speaker: Maryleen Amaizu Machine Learning Engineer at Redgate Dr. Maryleen Amaizu is a Machine Learning Engineer at Redgate Software, specialising in synthetic data generation for the Test Data Management team. With a PhD and a strong background in machine learning and Internet of Things, she applies her expertise to develop innovative solutions that enhance data privacy and compliance in software testing. Previously, as a Principal Investigator at the Alan Turing Institute, she led a research project in collaboration with kunato.ai, focusing on building trust and combating misinformation with AI. Maryleen earned her PhD from the University of Leicester, where she designed performance-efficient, privacy-preserving machine learning systems for resource-constrained environments. Her global contributions to digital technology have been recognized with two Global Talent Visa Awards in the UK and Australia. She co-founded Glotale, a platform focused on attracting talents to booming locales and opportunities worldwide.

X:@maryleenamaizu ln: linkedin.com/in/maryleenamaizu

This is the link to register to attend in person. To register to attend online, please use (Online) Building a robust data foundation for AI success

18:00- 18:30 - Networking and Refreshments 18:30: Building a robust data foundation for AI success - Maryleen Amaizu 19:30: Roundup of data news

Session details: Building a robust data foundation for AI success - Maryleen Amaizu In the age of artificial intelligence, the fuel that drives innovation is not just code, but data. But having a data lake isn't enough. Join us as we explore 5 critical foundations that transform raw data into the driving force behind impactful AI solutions:

Data Strategy: Setting a clear vision for how your data will empower AI initiatives. Data Preparation: From collection to cleansing, mastering the art of preparing clean, annotated, and privacy-sensitive data for AI consumption. Data Governance: Ensuring data quality, security, and compliance to build trust and avoid pitfalls. Scalability and Infrastructure: Building a robust architecture that can handle the ever-growing volume and velocity of data. Feedback Loops: Continuously improving your AI models by feeding them high-quality, relevant feedback data. Using a real-world case study, we’ll deep dive into how we can embed privacy engineering and compliance into data pipelines — automating sensitive data detection, de-identification, and risk assessment to enable responsible and ethical AI development. You’ll walk away with practical insights and strategies to build strong data foundations that balance innovation with privacy and trust.

Speaker: Maryleen Amaizu Machine Learning Engineer at Redgate Dr. Maryleen Amaizu is a Machine Learning Engineer at Redgate Software, specialising in synthetic data generation for the Test Data Management team. With a PhD and a strong background in machine learning and Internet of Things, she applies her expertise to develop innovative solutions that enhance data privacy and compliance in software testing. Previously, as a Principal Investigator at the Alan Turing Institute, she led a research project in collaboration with kunato.ai, focusing on building trust and combating misinformation with AI. Maryleen earned her PhD from the University of Leicester, where she designed performance-efficient, privacy-preserving machine learning systems for resource-constrained environments. Her global contributions to digital technology have been recognized with two Global Talent Visa Awards in the UK and Australia. She co-founded Glotale, a platform focused on attracting talents to booming locales and opportunities worldwide.

X:@maryleenamaizu ln: linkedin.com/in/maryleenamaizu

This event is sponsored by Humand Talent Solutions, who provide the best technical talent for local start-ups and scale-ups, and Packt Books who provide the eBooks for the prize draw.

Master Microsoft Fabric from basics to advanced architectures with expert guidance to unify, secure, and scale analytics on real-world data platforms Key Features Build a complete data analytics platform with Microsoft Fabric Apply proven architectures, governance, and security strategies Gain real-world insights from five seasoned data experts Purchase of the print or Kindle book includes a free PDF eBook Book Description Microsoft Fabric is reshaping how organizations manage, analyze, and act on data by unifying ingestion, storage, transformation, analytics, AI, and visualization in a single platform. The Definitive Guide to Microsoft Fabric takes you from your very first workspace to building a secure, scalable, and future-proof analytics environment. You’ll learn how to unify data in OneLake, design data meshes, transform and model data, implement real-time analytics, and integrate AI capabilities. The book also covers advanced topics, such as governance, security, cost optimization, and team collaboration using DevOps and DataOps principles. Drawing on the real-world expertise of five seasoned professionals who have built and advised on platforms for startups, SMEs, and Europe’s largest enterprises, this book blends strategic insight with practical guidance. By the end of this book, you’ll have gained the knowledge and skills to design, deploy, and operate a Microsoft Fabric platform that delivers sustainable business value. What you will learn Understand Microsoft Fabric architecture and concepts Unify data storage and data governance with OneLake Ingest and transform data using multiple Fabric tools Implement real-time analytics and event processing Design effective semantic models and reports Integrate AI and machine learning into data workflows Apply governance, security, and compliance controls Optimize performance and costs at scale Who this book is for This book is for data engineers, analytics engineers, architects, and data analysts moving into platform design roles. It’s also valuable for technical leaders seeking to unify analytics in their organizations. You’ll need only a basic grasp of databases, SQL, and Python.