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May 19
NDC Oslo 2025
19 - 23 May 2025
150
Speakers
45
Technologies
20
Workshops
160
Talks
May 19
Open AI & GPT Workshop
Alan Smith
2 days
Oslo Spektrum
13 990 NOK
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May 21
Building AI That Learns and Adapts: A Case Study in MRI Diagnostics
Agata Chudzińska
1 hour
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May 22
Lightning Talks 4
Tomas Hensrud Gulla, Tom Daniel Sivertsen, Mackenzie Jackson, Einar Høst
1 hour
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May 22
Supercharge your data with Azure AI Search and OpenAI
Peter Gallagher
1 hour
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Sept 8
NDC Copenhagen 2025
8 - 12 September 2025
100
Speakers
40
Technologies
100
Talks
10
Workshops
Sept 8
Machine Learning Foundations for Developers
Michelle Frost
2 days
Øksnehallen | Kødbyen, CPH
9 000 DKK
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Sept 8
Open AI & GPT Workshop
Alan Smith
2 days
Øksnehallen | Kødbyen, CPH
9 000 DKK
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Sept 10
A developers guide to really cool computer vision models
Tess Ferrandez-Norlander
1 hour
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Sept 10
"Would YOU Survive the Titanic?", with ML and .NET
Simon Painter
1 hour
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Sept 10
Dehumanizing Agents: Why Explainability is Crucial in the LLM Era
Lucía Conde-Moreno
1 hour
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Sept 11
AI Coding Agents and how to code them
Alex Shershebnev
1 hour
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Sept 11
Between the Layers– Interpreting Large Language Models
Michelle Frost
1 hour
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Sept 22
NDC TechTown 2025
22 - 25 September 2025
50
Speakers
15
Technologies
10
Workshops
60
Talks
Oct 13
Azure Dev Summit 2025
13 - 16 October 2025
Oct 20
NDC Porto 2025
20 - 24 October 2025
80
Speakers
40
Technologies
8
Workshops
90
Talks
Oct 20
Open AI & GPT Workshop
Alan Smith
2 days
Alfândega Porto Congress Centre
1 200 EUR
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Nov 11
Machine Learning Foundations for Developers
Michelle Frost
2 days
Rebel Oslo
13 990 NOK
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Nov 11
Open AI & GPT Workshop
Alan Smith
2 days
Rebel Oslo
13 990 NOK
Register
Nov 11
NDC AI 2025
11 - 13 November 2025
On demand courses
Part 2/2: Building a movie recommendation system with Tensorflow and PGVector
Olena Kutsenko, Tibs (Tony Ibbs)
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Implementing AI - Deep Learning using TensorFlow and Keras
Wei-Meng Lee
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A Deep Dive into Machine Learning in .NET
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Biometric security in the Azure Cloud
Stefano Tempesta
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Machine Learning simplified for Developers with ML.NET
Jernej Kavka
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Artificial Intelligence? - more like Artificial Stupidity!
Aiko Klostermann
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101 Google BigQuery from SQL data analytics to creating machine learning models with BigQuery
Marton Kodok
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Taking Models to the Next Level with Azure Machine Learning
Henk Boelman
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Building a Bot That Plays YouTube Videos for My Toddler
Agustinus Nalwan
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Future of Software Testing: Artificial Intelligence Assistance
Mesut Durukal
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Getting Started with Machine Learning using ML.NET
Jernej Kavka
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Building Your First Voice Experience with Alexa
Jeff Blankenburg
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Rise of the Machines – Technology in Humanity
Lars Klint
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Ten Things Every Voice Application Should Do
Jeff Blankenburg
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NodeJS, ML, K8s and Unethical Face Recognition
Joel Lord
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Getting Started with Computer Vision
Seth Juarez
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Exploring the Wonderful World of Python on Devices
Brandon Satrom
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Time traveling in the cloud. Time series analytics with Microsoft Azure.
Sam Vanhoutte
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An AI with an Agenda: How Our Biases Leak Into Machine Learning
Arthur Doler
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Understanding Probabilistic Data Structures with 112,092 UFO Sightings
Guy Royse
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Decision Making in The Absence of Ground Truth
Gary Short
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Amazing Algorithms for Solving Problems in Software
Barry Stahl
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Scaling Machine Learning Pipelines in Cloud
Salman Iqbal
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Computational Creativity
Dylan Beattie
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Real-time Machine Learning with Pulsar Functions
David Kjerrumgaard
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Lightning Talks
Lars Jakobsen, Matěj 'Horm' Horák, Ruby Jane Cabagnot
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Beyond Sentiment Analysis: Real-time object detection with ML.NET
Arafat Tehsin
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Building AI enriched applications with Azure Cognitive Search and CosmosDb.
Glenn Colpaert
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Does spam have an opinion? Using machine learning to understand your spam.
Lars Klint
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Evolutionary Learning vs. The Zerg: Training & Evolving Star Craft II AIs in Python
Alan Smith
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Build and deploy production ready PyTorch models
Henk Boelman
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Making sense of unstructured data with AI
Henk Boelman
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Lightning Talks
Johnny Hooyberghs, Imran Nazar
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Realities & Misconceptions about Enterprise Applications of AI/ML and Data
Brooke Jamieson
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A gentle introduction to Deep Learning
Laurent Bugnion
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Learning about machine learning from kids
Dale Lane
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Realities & Misconceptions about Enterprise Applications of AI/ML and Data
Brooke Jamieson
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Making Every Game and App More Accessible with .NET and AI
Alex Dunn
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Beyond Sentiment Analysis: Object Detection with ML.NET
Arafat Tehsin
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Making neural networks run in browser with ONNX
Ron Dagdag
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How I designed the most efficient deepfake detector in the world with $100
Mathis Hammel
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The Modern Trolley Problem - Responsible AI Principals
Michelle Sandford
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Building a retro climate monitor with an Altair 8800
Dave Glover
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Video Analytics for mere mortals with NVIDIA DeepStream SDK
Yousry Mohamed
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Does spam have an opinion? Using machine learning to understand your spam.
Lars Klint
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Smarter Everything with ML & the IoT
Brandon Satrom
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.NET Everything
Melissa Houghton
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How to Build a Quokkabot
Amy Kapernick
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Building Ellee - A GPT-3 Powered Robotic Teddy Bear With Human-Level Conversation Intelligence
Agustinus Nalwan
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Saving elephants with Raspberry Pi’s & Machine Learning
Thijs Suijten
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Amazing Algorithms for Solving Problems in Software
Barry Stahl
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Training a PowerPoint AI to Play Tic Tac Toe
Brenton Adey
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The Modern Trolley Problem - Responsible AI Principals
Michelle Sandford
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Building a level 5 autonomous vehicle (in TrackMania)
Manu Gopinathan, Malte Loller-Andersen
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Garbage data in, garbage models out: how to select the right data for robust machine learning
Jodie Burchell
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Applied Functional Programming in Computational Genomics
Jamie Dixon
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Energy Analytics: AI for Sustainability
Priyanka Shah
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How to Build a Quokkabot
Amy Kapernick
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Does spam have an opinion? Using machine learning to understand your spam.
Lars Klint
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How to keep your email tidy with AI
Jernej Kavka
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Pride & Prejudice & C#
Simon Painter
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Ethical Machine Learning
Kesha Williams
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Training a PowerPoint AI to Play Tic Tac Toe
Brenton Adey
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The Modern Trolley Problem - Responsible AI Principles
Michelle Sandford
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Machine Learning for Software Developers (...and Knitters)
Kris Howard
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The Next Decade of Software Is About Climate - What Is the Role of ML?
Sara Bergman
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Real-time Fraud Detection Challenges and Solutions
Fawaz Ghali
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Lemonade Stand Revisited
Anders Norås
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Developing an intersectional framework to analyze biases in artificial intelligence and deep neural
Kimberley Paradis
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Developing resilience for the future of work
Michelle “MishManners” Duke
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Tales of Data Architecture Evolution
Josef Goldstein
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How to handle the luxury of having too much training data
Mathilde Ørstavik
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From Proof of Concept to Production with MLOps
Brooke Jamieson
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AI for Inclusive Society - Responsible AI
Yashoda Singh
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Training a PowerPoint AI to Play Tic Tac Toe
Brenton Adey
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Clone yourself with Azure Custom Neural Voice
Callum Whyte
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Principles and Practices of Building Machine Learning Systems
Camilla Montonen
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Ethical Machine Learning
Kesha Williams
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Separating fact from fiction in a world of AI fairytales
Jodie Burchell
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Applied AI and Accessibility to Play Games in New Ways
Alex Dunn
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Deep Learning: From Vision to Reality
Tess Ferrandez-Norlander
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Large Language Models: An Overview and Integration into Your Workflow
Ben Hall, Barbara Fusinska
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Predicting F1 Race Strategies using ML.NET
Michał Łusiak
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Why Data Science and UX Research should be Best Friends
Grishma Jena
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The Modern Trolley Problem - Responsible AI Principles
Michelle Sandford
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The Modern Trolley Problem - Responsible AI Principles
Michelle Sandford
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Exploring ChatGPT for Improved Observability
Gareth Emslie
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Hello AI World! - Why Developers Should Care About AI
Matthew Renze
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Kubernetes and MLOps for Scalable and Reproducible Generative AI
Annie Talvasto
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Empowering Security Teams with Generative AI: Fundamentals and Applications of GPT models
Roberto Rodriguez
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Data Science beasts (failures) and where to find them
Grishma Jena
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Part 1/2: Learning Data Science in Python
Grishma Jena
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Ethical Machine Learning
Kesha Williams
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Using Vector Databases for Multimodal Embeddings and Search
Zain Hasan
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An Introduction to Vector Databases
Zain Hasan
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Part 2/2: Learning Data Science in Python
Grishma Jena
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The Elephant in your Dataset: Addressing Bias in Machine Learning
Michelle Frost
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Code Security Reinvented: Navigating the era of AI
Joseph Katsioloudes
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Panda to gibbon is the least of your worries: why securing AI is not what you think
Sarah Young
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Responsible AI in practice the Era of Generative AI
Yashoda Singh
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Lightning Talks 5
Jakob Wolman, Michael Dowden, Marion Løken
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Clone yourself with Azure Custom Neural Voice
Callum Whyte
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Separating fact from fiction in a world of AI fairytales
Jodie Burchell
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What comes after ChatGPT? Vector Databases - the Simple and powerful future of ML?
Erik Bamberg
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The next level apps for Web developers - Machine learning on browsers 🤯
Erick Wendel
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Part 1/2: Building a movie recommendation system with Tensorflow and PGVector
Olena Kutsenko, Tibs (Tony Ibbs)
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[Interactive] Neural Style Transfer: The Art and Science of Generative AI
Saloni Garg
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From Magic to Mechanics: Demystifying GPU Programming
Adam Gaidi
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Prompt Injection: When Hackers Befriend Your AI
Vetle Hjelle
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Keynote: Transformers: The Rise of ChatGPT
Kesha Williams
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Level up with GitHub Copilot: using AI to learn, code, and build
Michelle “MishManners” Duke
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Microsoft Security Copilot - your new best friend!
George Coldham
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Build your own Flight Tracker with Semantic Kernel
Arafat Tehsin
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Red Teaming Large Language Models
Armin Buescher
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Threat Modelling for ML/AI systems
Andrea Brambilla, Benjamin Løkling
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In Prompts We Trust
Jiaranai Keatnuxsuo
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Leveraging graph AI and GPUs to win the US Cyber Command AI challenge
Leo Meyerovich
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Part 1/2: Hands-on grand tour of GPU Graph AI for security event correlation
Leo Meyerovich, Alex Morrise
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Part 2/2: Hands-on grand tour of GPU Graph AI for security event correlation
Leo Meyerovich, Alex Morrise
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Secure AI: Integrating OWASP Principles in Machine Learning Model Development
Haritha Thilakarathne
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Navigating the MLOps Journey: Key Considerations for Successful Implementations
Akanksha Malik
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Inside GPT – Large Language Models Demystified
Alan Smith
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Beyond Code: Unraveling AI's Origins and Futures
Michelle “MishManners” Duke
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Part 1/2: GeoAI - From Pixels to Patterns: Image Segmentation from Aerial Imagery
Malte Loller-Andersen, Mathilde Ørstavik
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Beyond Vectors: Evolving GenAI through Transformative Tools and Methods
Alison Cossette
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Easily Add Artificial Intelligence To Your Apps Using Machine Learning as a Service
Brandon Minnick
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Winning with unique data: Standing out in a world full of AI
Marion Løken
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The Elephant in your Dataset: Addressing Bias in Machine Learning
Michelle Frost
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Part 1/2: Building a movie recommendation app with TensorFlow and pgvector
Tibs (Tony Ibbs), Olena Kutsenko
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In Prompts We Trust
Jiaranai Keatnuxsuo
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LLMs in Action: How Norkart Leverages AI for Smarter Property Development
Mathilde Ørstavik, Malte Loller-Andersen
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Mirror, mirror: LLMs and the illusion of humanity
Jodie Burchell
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Mirror, mirror: LLMs and the illusion of humanity
Jodie Burchell
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Reverse Engineering with GenAI
Ben Dechrai
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Level up with GitHub Copilot: using AI to learn, code, and build
Michelle “MishManners” Duke
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Getting to 300 million requests a month with a one man AI/Dev-Ops team
Rob Frelow
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A deep dive into vector search technology and tools
Olena Kutsenko
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A Deep Dive Into Machine Learning in .NET Workshop
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Cracking the Furby code: The path to evolve an icon
Luke McNeice
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Part I: The Elephant in your Dataset: Addressing Bias in Machine Learning
Michelle Frost
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Using GPT Visual Capabilities to Solve a Wordle Puzzle
Jennifer Marsman
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Getting to 300 million requests a month with a one man AI/Dev-Ops team
Rob Frelow
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Can you trust your (large language) model?
Jodie Burchell
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Part 2/2: Building a movie recommendation app with TensorFlow and pgvector
Tibs (Tony Ibbs), Olena Kutsenko
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Introduction to Machine Learning
Wei-Meng Lee
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Introduction to Machine Learning with Python
Kesha Williams
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Practical Machine Learning with Functional Programming
Mathias Brandewinder
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Build your first machine learning model on AWS
Kesha Williams
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Malignant Intelligence: Prompt engineering and software archeology
Alasdair Allan
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Keynote: Can you trust your (large language) model?
Jodie Burchell
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.NET Developer? You're an IoT Developer Too!
Rob Lauer
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Part II: The Elephant in your Dataset: Addressing Bias in Machine Learning
Michelle Frost
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Part 2/2: GeoAI - From Pixels to Patterns: Image Segmentation from Aerial Imagery
Malte Loller-Andersen, Mathilde Ørstavik
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Machine Learning in the Real World
Karsten Strøbæk
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Demystifying AI/ML for Application Developers
Alex Dunn
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Lightning Talks 5
Andre Voigt, Marion Løken, Amrit Puri, Ruma Maharjan
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Data Science for Software Engineers
Philip Winder
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Machine Learning from the Cloud to the IoT
Brandon Satrom, Rob Lauer
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Part 2/2: Learning Natural Language Processing with Python
Grishma Jena
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Introduction to Machine Learning with AWS
Kesha Williams
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Part 1/2: Learning Natural Language Processing with Python
Grishma Jena
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