talk-data.com

42% of organizations state they want to be more data-driven. But to what end? The next megatrend for D&A leaders to prepare for is “autonomous business,” where operations run unattended, management is heavily augmented with analytical technology, AI agents are customers, products and services are data-driven, all within a programmable economy. Attend this visionary session and walk away with a better understanding of your future.

Session: The future of enterprise intelligence is autonomous. This presentation covers how data agents powered by Azure AI and Semantic Kernel redefine smart workflows, enabling planning, reasoning, and collaboration for data exploration, anomaly detection, pipeline automation, and real-time decision support. It shows how Semantic Kernel provides memory and orchestration, while Azure AI powers the intelligence behind outcomes. A live demo demonstrates autonomous data agents transforming raw data into actionable insights, delivering efficiency, scalability, and governance without manual intervention. You'll learn how to design and deploy agentic AI workflows that move from data to decisions quickly and at scale.

Explore the real-world impact of Agentic AI in our fast-paced, insight-packed virtual showcase. Each 10-minute session features a live demo from a leading innovator in the Agentic AI space—highlighting practical applications, dynamic workflows, and tangible business outcomes.

This isn't just another pitch session. It’s a curated look at how agent-based systems are driving intelligent automation, adaptive planning, and cross-functional orchestration across industries. You’ll meet the minds behind these technologies and see firsthand how they’re redefining what's possible in enterprise AI.

What You'll Learn:

1️⃣ Autonomous Workflows: See how agentic systems plan, coordinate, and execute complex tasks across tools and teams.

2️⃣ Dynamic Decisioning: Explore examples of contextual reasoning, goal alignment, and memory-enhanced agents in action.

3️⃣Practical Integration: Understand what it takes to embed agentic AI into your stack—without overhauling everything.

Engage live with founders and builders shaping the future of autonomous enterprise solutions.

You’re short on time but deep on curiosity. This format respects both—cutting straight to the tech and the teams behind it. No filler, no fluff. Just signal.

Register Here

Exploring open source profitability and small language models – Aditya Gautam

​Aditya Gautam has built his career at the intersection of AI research, large-scale deployment, and public discourse. With experience at Google, Meta, and leading academic conferences, he works on large language models, AI agents, and responsible AI at scale.

​In this episode, Aditya explores the debates around open-source AI, the economics behind LLMs, and the barriers enterprises face when adopting AI agents. He also shares his perspective on the rise of small language models and what these shifts mean for the future of AI.

​We plan to cover:

• ​Open-source AI: democratization and risks
• ​The economics of LLMs and the challenge of profitability
• ​Why enterprises struggle to adopt AI agents in practice
• ​The role of small language models in efficiency and cost reduction
• ​Emerging trends in AI research and deployment

​About the Guest

​Aditya Gautam is an AI researcher and engineer whose work spans industrial innovation, academic research, and AI policy. He has held roles at Google and Meta, working on recommendation systems, integrity, and large-scale generative AI deployment. His research covers topics including misinformation, multi-agent systems, and LLM evaluation, and he has published in top-tier conferences such as ICWSM while serving as a peer reviewer for venues like NeurIPS, ICML, and AAAI.

​Aditya is also an active voice in the AI community: he speaks at industry events such as the Databricks Data + AI Summit and Analytics Vidhya, contributes to policy discussions around regulations like the EU Digital Services Act, and shares insights on the economics and practical adoption of LLMs and AI agents. He holds a Master’s degree from Carnegie Mellon University.

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Picture a DevOps workflow where GitHub Copilot and AI agents work together to streamline every step of SDLC, from planning to deployment. In this forward-looking demo session, see how teams build intelligent, multi-agent workflows using tools and agents that adapt to your style and flow.

Experience the next generation of DevOps: faster delivery, less manual work, and smarter collaboration. Get inspired by what’s possible and find practical ideas you can start exploring today.

📌 This session is a part of a series! Learn more here

Picture a DevOps workflow where GitHub Copilot and AI agents work together to streamline every step of SDLC, from planning to deployment. In this forward-looking demo session, see how teams build intelligent, multi-agent workflows using tools and agents that adapt to your style and flow.

Experience the next generation of DevOps: faster delivery, less manual work, and smarter collaboration. Get inspired by what’s possible and find practical ideas you can start exploring today.

📌 This session is a part of a series! Learn more here

Are you ready to stay ahead of modern cyber threats with Agentic AI? Join us on January 27 for a live, instructor-led masterclass where you’ll learn how Microsoft Security Copilot Agents help security teams detect threats faster, automate response, and gain real-time intelligence across Microsoft Defender, Entra, and Intun

Event Details: Date: Jan 27, 2026 Time: 10 AM- 12 PM EST Register Here for FREE: https://cutt.ly/OtaK7165

In this 120-minute session, you’ll explore how Security Copilot Agents work, see real-world security use cases, and understand how Agentic AI is shaping the future of cybersecurity.

NOTE:🎖️ : "ALL REGISTRATIONS WILL BE PROVIDED WITH DIGITAL ACHEIVEMENT BADGES ISSUED DIRECTLY FROM MICROSOFT"

What You Will Learn

• Introduction to Microsoft Security Copilot Agents
• The Future of Security with Agentic AI
• Deploying Security Copilot Agents in Microsoft Defender
• Identity Security with Copilot Agents in Microsoft Entra
• Strengthening Endpoint Protection with Microsoft Intune Agents
• Q&A + Next Steps with the Instructor

Register Today and secure your spot. See you in the Masterclass!!! 😊

What is AGI, and are we close to achieving it? In this talk, I explore the most consequential question in AI today: the path to Artificial General Intelligence. Drawing from the perspectives of leading researchers—Geoffrey Hinton, Yoshua Bengio, Yann LeCun, Fei-Fei Li, and Richard Sutton —I examine competing definitions of AGI, the major architectural approaches being pursued, and what technical breakthroughs remain unsolved. I discuss where we are now (remarkable capabilities alongside surprising limitations), where experts believe we're heading (timelines ranging from years to decades), and what keeps AI safety researchers up at night (emergent deception, self-preservation, and the control problem). Finally, I share my own synthesis from my new book Foundations of Artificial Intelligence Agents Vol. 2: AI Agents. Whether AGI arrives in five years or fifty, the choices we make now will shape what that future looks like.

This is a place for an in-person meeting in Chilworth.

!!!!! ATTENTION Since September, we've been having meetups at Spectrum IT's office - Gamma House, Enterprise Rd, Chilworth, Southampton SO16 7NS https://maps.app.goo.gl/66tL8HfgFnoiQEh66

Agenda

18:00 Welcome and Intros

18:10 🎦Job market insights and forecasts for 2026 🗣️Spectrum IT (Sam)

🍕pizza/networking

🎦 Agentic Development for Analytics: Subagents & Skills in Analytics Engineering 🗣️Mihaly Kavasi

Manual DAX optimization, brittle ETL pipelines, and repetitive data quality checks consume 80% of analytics development time. The future is agentic AI—where specialized subagents autonomously handle data pipeline automation, semantic model development, and quality monitoring while portable skills provide reusable analytics expertise. Discover how this orchestrator-worker pattern can transform data engineering and BI development. What you'll master: - **Architect multi-agent analytics workflows** using specialized subagents for data pipeline automation\, DAX generation\, and semantic model optimization - **Leverage Power BI MCP servers** that convert natural language into DAX queries and automate Tabular Object Model (TOM) development tasks - **Build intelligent data pipelines** where AI agents detect schema changes\, adapt transformations automatically\, and reduce data quality incidents by 70% - **Create portable analytics skills** packaging DAX patterns\, SQL optimization techniques\, and data modeling best practices into reusable agent expertise - **Design specialized subagents** for code review (finding 31+ issues in Power BI models)\, testing\, documentation\, and end-to-end report generation - **Automate enterprise analytics tasks** including metadata generation\, data quality monitoring\, exploratory data analysis\, and semantic layer maintenance Experience live demonstrations of AI agents building Power BI reports end-to-end, generating optimized DAX measures, and autonomously maintaining data pipelines that adapt to changes without breaking.

*** A massive thanks to our sponsor, Spectrum IT. Without them, we could not host this event for free. Spectrum IT kindly provided funding for the room and pizza for in-person attendees. ***

⚠️ Make sure to confirm your registration on the official event page.

Le Wagon’s AI Software Bootcamp is an upgraded version of our Web Development bootcamp, now enhanced with the latest AI tools and techniques.

Join our live info session to learn how Le Wagon’s AI Software Bootcamp can give you the skills, tools, and support to build AI-powered products and stay ahead in tech.

What you’ll discover:

• The future of web development with AI: From backend development to AI integrations, discover how AI is changing the way software is built — and why developers who can build with AI are in high demand.
• How AI is transforming the tech landscape: Learn how tools like OpenAI, LangChain, and AI agents are being used in real-world products — and how you’ll use them in the bootcamp.
• All about the bootcamp: how the program is structured, and the types of projects you’ll build — from classic web apps to AI-assisted tools.
• Live Q&A: Ask your questions directly to our student advisors — from curriculum and admissions to career outcomes and financing options.

⚠️ Make sure to confirm your registration on the official event page.

Le Wagon’s AI Software Bootcamp is an upgraded version of our Web Development bootcamp, now enhanced with the latest AI tools and techniques.

Join our live info session to learn how Le Wagon’s AI Software Bootcamp can give you the skills, tools, and support to build AI-powered products and stay ahead in tech.

What you’ll discover:

• The future of web development with AI: From backend development to AI integrations, discover how AI is changing the way software is built — and why developers who can build with AI are in high demand.
• How AI is transforming the tech landscape: Learn how tools like OpenAI, LangChain, and AI agents are being used in real-world products — and how you’ll use them in the bootcamp.
• All about the bootcamp: how the program is structured, and the types of projects you’ll build — from classic web apps to AI-assisted tools.
• Live Q&A: Ask your questions directly to our student advisors — from curriculum and admissions to career outcomes and financing options.

APIs are at the heart of today’s AI and digital transformation, and Kong Insomnia is the essential tool for building scalable, future-proof architectures. Join us for an exploration of how the Kong Gateway and Insomnia can work together to create trustworthy integrations. In this session, you’ll learn how to leverage the Kong Gateway to seamlessly transform your enterprise-grade REST APIs into MCP servers, giving AI agents secure, governed access to your APIs while maintaining the control and visibility you need. We’ll demonstrate how Insomnia serves as your testing and validation environment, allowing you to inspect, test, and verify MCP tools, resources, and prompts before deployment no matter where you build them. From AI-enhanced development workflows to production-ready AI integrations, discover how this combination ensures your connected experiences are not only intelligent, but also reliable and built on a foundation of trust.

Join us to discover how to unlock strategic opportunities at the intersection of APIs, AI, and connectivity.

What you'll learn:

• Trusted API-to-MCP transformations: Convert Kong-managed REST APIs into MCP servers
• Validate and test your MCP servers’ tools, resources and prompts within Insomnia before opening them up for agentic consumption
• Enhance your productivity with Insomnia’s AI features
• Strategic insights into building flexible architectures for the evolving digital landscape.

APIs are at the heart of today’s AI and digital transformation, and Kong Insomnia is the essential tool for building scalable, future-proof architectures. Join us for an exploration of how the Kong Gateway and Insomnia can work together to create trustworthy integrations. In this session, you’ll learn how to leverage the Kong Gateway to seamlessly transform your enterprise-grade REST APIs into MCP servers, giving AI agents secure, governed access to your APIs while maintaining the control and visibility you need. We’ll demonstrate how Insomnia serves as your testing and validation environment, allowing you to inspect, test, and verify MCP tools, resources, and prompts before deployment no matter where you build them. From AI-enhanced development workflows to production-ready AI integrations, discover how this combination ensures your connected experiences are not only intelligent, but also reliable and built on a foundation of trust.

Join us to discover how to unlock strategic opportunities at the intersection of APIs, AI, and connectivity.

What you'll learn:

• Trusted API-to-MCP transformations: Convert Kong-managed REST APIs into MCP servers
• Validate and test your MCP servers’ tools, resources and prompts within Insomnia before opening them up for agentic consumption
• Enhance your productivity with Insomnia’s AI features
• Strategic insights into building flexible architectures for the evolving digital landscape.

APIs are at the heart of today’s AI and digital transformation, and Kong Insomnia is the essential tool for building scalable, future-proof architectures. Join us for an exploration of how the Kong Gateway and Insomnia can work together to create trustworthy integrations. In this session, you’ll learn how to leverage the Kong Gateway to seamlessly transform your enterprise-grade REST APIs into MCP servers, giving AI agents secure, governed access to your APIs while maintaining the control and visibility you need. We’ll demonstrate how Insomnia serves as your testing and validation environment, allowing you to inspect, test, and verify MCP tools, resources, and prompts before deployment no matter where you build them. From AI-enhanced development workflows to production-ready AI integrations, discover how this combination ensures your connected experiences are not only intelligent, but also reliable and built on a foundation of trust.

Join us to discover how to unlock strategic opportunities at the intersection of APIs, AI, and connectivity.

What you'll learn:

• Trusted API-to-MCP transformations: Convert Kong-managed REST APIs into MCP servers
• Validate and test your MCP servers’ tools, resources and prompts within Insomnia before opening them up for agentic consumption
• Enhance your productivity with Insomnia’s AI features
• Strategic insights into building flexible architectures for the evolving digital landscape.

APIs are at the heart of today’s AI and digital transformation, and Kong Insomnia is the essential tool for building scalable, future-proof architectures. Join us for an exploration of how the Kong Gateway and Insomnia can work together to create trustworthy integrations. In this session, you’ll learn how to leverage the Kong Gateway to seamlessly transform your enterprise-grade REST APIs into MCP servers, giving AI agents secure, governed access to your APIs while maintaining the control and visibility you need. We’ll demonstrate how Insomnia serves as your testing and validation environment, allowing you to inspect, test, and verify MCP tools, resources, and prompts before deployment no matter where you build them. From AI-enhanced development workflows to production-ready AI integrations, discover how this combination ensures your connected experiences are not only intelligent, but also reliable and built on a foundation of trust.

Join us to discover how to unlock strategic opportunities at the intersection of APIs, AI, and connectivity.

What you'll learn:

• Trusted API-to-MCP transformations: Convert Kong-managed REST APIs into MCP servers
• Validate and test your MCP servers’ tools, resources and prompts within Insomnia before opening them up for agentic consumption
• Enhance your productivity with Insomnia’s AI features
• Strategic insights into building flexible architectures for the evolving digital landscape.

APIs are at the heart of today’s AI and digital transformation, and Kong Insomnia is the essential tool for building scalable, future-proof architectures. Join us for an exploration of how the Kong Gateway and Insomnia can work together to create trustworthy integrations. In this session, you’ll learn how to leverage the Kong Gateway to seamlessly transform your enterprise-grade REST APIs into MCP servers, giving AI agents secure, governed access to your APIs while maintaining the control and visibility you need. We’ll demonstrate how Insomnia serves as your testing and validation environment, allowing you to inspect, test, and verify MCP tools, resources, and prompts before deployment no matter where you build them. From AI-enhanced development workflows to production-ready AI integrations, discover how this combination ensures your connected experiences are not only intelligent, but also reliable and built on a foundation of trust.

Join us to discover how to unlock strategic opportunities at the intersection of APIs, AI, and connectivity.

What you'll learn:

• Trusted API-to-MCP transformations: Convert Kong-managed REST APIs into MCP servers
• Validate and test your MCP servers’ tools, resources and prompts within Insomnia before opening them up for agentic consumption
• Enhance your productivity with Insomnia’s AI features
• Strategic insights into building flexible architectures for the evolving digital landscape.

Free Live Session - How AI Agents Are Reshaping the Future of Automation

Join us for a deep dive into the evolving landscape of AI agents. We’ll cover how to design and deploy autonomous systems, integrate them seamlessly into real-world workflows, and optimize operations through intelligent decision-making. From enterprise automation to customer engagement, AI agents are unlocking new possibilities across industries.

Register now by clicking on the LINK

REGISTER BELOW FOR MORE AVAILABLE DATES! ↓↓↓↓↓ https://luma.com/stelios

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Who is this for?

​Students, developers, and anyone interested in using Large Language Models (LLMs) to build real software solutions with ** Python.

​Tired of vibe coding with AI tools? Want to actually understand and own your code, instead of relying on black-box magic? This session shows you how to build LLM systems properly, with full control and clear engineering principles. ​ Who is leading the session?

​The session is led by Dr. Stelios Sotiriadis, CEO of Warestack, Associate Professor and MSc Programme Director at Birkbeck, University of London, specialising in cloud computing, distributed systems, and AI engineering.

​Stelios holds a PhD from the University of Derby, completed a postdoctoral fellowship at the University of Toronto, and has worked on industry and research projects with Huawei, IBM, Autodesk, and multiple startups. Since moving to London in 2018, he has been teaching at Birkbeck. In 2021, he founded Warestack, building software for startups around the world. ​ What we’ll cover?

​A hands-on introduction to building software with LLMs using Python, Ollama, and LiteLLM, including:

• ​How LLMs, embeddings, and agents work.
• ​Calling local models with Ollama or cloud models (OpenAI, Gemini and more).
• ​Using LiteLLM for custom prompts and tool-calling.
• ​Building simple agents from scratch.
• ​Introduction to RAG (Retrieval-Augmented Generation).
• ​Working with vector databases (ChromaDB) and vector similarity search library (FAISS).
• ​Storing, searching, and retrieving embeddings.
• ​Introduction to Streamlit for interactive data apps.
• ​End-to-end examples you can run on your own machine.

​This session focuses on theory, fundamentals and real code you can re-use.

​Why LiteLLM?

​LiteLLM gives you low-level control to build custom LLM solutions your own way, without a heavy framework like LangChain, so you understand how everything works and design your own architecture. A dedicated LangChain session will follow for those who want to go further.

​What are the requirements?

​Bring a laptop with Python installed (Windows, macOS, or Linux), along with Visual Studio Code or a similar IDE, with at least 10GB of free disk space and 8GB of RAM.

​This space is needed for running local models during the workshop. ​If you don’t have a suitable laptop, please contact Stelios ([email protected]) before registering.

​What is the format?

​A 3-hour live session with:

• ​Interactive theory blocks
• ​Hands-on coding
• ​Step-by-step exercises
• ​Small group support
• ​Three 10-minute breaks
• ​Q&A and class quizzes

​This is a highly practical, hands-on class focused on code and building working LLM systems.

​What are the prerequisites?

​A good understanding of programming with Python is required (basic to intermediate level). I assume you are already comfortable writing Python scripts.

​What comes after?

​Participants will receive an optional mini capstone project with one-to-one personalised feedback.

​Is it just one session?

​This is the first session in a new sequence on applied AI, covering agents, RAG systems, vector databases, and production-ready LLM workflows. Later sessions will dive deeper into topics such as embeddings with deep neural networks, LangChain, advanced retrieval, and multi-agent architectures.

​You can decide afterwards whether you’d like to join future sessions.

​How many participants?

​To keep this interactive, only 15 spots are available. Please register as soon as possible.

RSVP here - https://hubs.li/Q03W2dHz0

​Join Google Developer Relations Engineer Toni Klopfenstein for a deep dive into the Agent Development Kit (ADK)—Google's powerful, open-source, and modular framework for building sophisticated AI agents.

​In today's fast-evolving landscape of Generative AI, developers need tools that offer control, flexibility, and scalability. This session will explore how the ADK helps you move beyond basic LLM prompts and embrace a code-first approach to agent development.

​What you will learn: ​*- How to utilize ADK for robust, customizable, and debuggable AI solutions.* ​*- Strategies for building complex, multi-agent architectures and workflows.* ​*- Ways to integrate your agents with a rich ecosystem of tools and APIs.* ​*- The future opportunities that ADK unlocks for your next-generation applications.*

​Don't miss this chance to learn directly from a Google expert and future-proof your development toolkit!

​Useful Links

• ​​​Free access to more talks/trainings: Ai+ Training platform
• ​​​ODSC blog: https://opendatascience.com/
• ​​​Slack Channel: https://hubs.li/Q038cQBy0
• ​​​Code of conduct: https://odsc.ai/code-of-conduct/

RSVP here - https://hubs.li/Q03W2dHz0

​Join Google Developer Relations Engineer Toni Klopfenstein for a deep dive into the Agent Development Kit (ADK)—Google's powerful, open-source, and modular framework for building sophisticated AI agents.

​In today's fast-evolving landscape of Generative AI, developers need tools that offer control, flexibility, and scalability. This session will explore how the ADK helps you move beyond basic LLM prompts and embrace a code-first approach to agent development.

​What you will learn: ​*- How to utilize ADK for robust, customizable, and debuggable AI solutions.* ​*- Strategies for building complex, multi-agent architectures and workflows.* ​*- Ways to integrate your agents with a rich ecosystem of tools and APIs.* ​*- The future opportunities that ADK unlocks for your next-generation applications.*

​Don't miss this chance to learn directly from a Google expert and future-proof your development toolkit!

​Useful Links

• ​​​Free access to more talks/trainings: Ai+ Training platform
• ​​​ODSC blog: https://opendatascience.com/
• ​​​Slack Channel: https://hubs.li/Q038cQBy0
• ​​​Code of conduct: https://odsc.ai/code-of-conduct/