Henk Boelman
Senior Cloud Advocate at Microsoft
Driebergen-Rijsenburg, Netherlands
Henk is a Cloud Advocate specializing in Artificial intelligence and Azure with a background in application development. He is currently part of the AI cloud advocate team and based in the Netherlands. Before joining Microsoft, he was a Microsoft AI MVP and worked as a software developer and architect building lots of AI powered platforms on Azure.
He loves to share his knowledge about topics such as DevOps, Azure and Artificial Intelligence by providing training courses and he is a regular speaker at user groups and international conferences.
Awards
Area of Expertise
Topics
Mastering LLM-Based AI Applications
Join us to explore Azure Machine Learning prompt flow, a cutting-edge development tool for AI applications powered by Large Language Models (LLMs). With the rapid global growth in LLM-based AI applications, this session will demonstrate how Azure Machine Learning prompt flow streamlines prototyping, experimenting, iterating, and deploying these applications.
We will delve into creating executable flows linking LLMs, prompts, and Python tools, debugging and sharing flows, and performing large-scale testing. Learn how to unleash the full potential of LLMs for your application by deploying a real-time endpoint. This session is ideal for those seeking a user-friendly tool to simplify their LLM-based AI application development process. Experience the power of streamlined development with Azure Machine Learning prompt flow today.
Unlocking the Potential of AI
Artificial intelligence is rapidly changing the world we live in, and Microsoft is at the forefront of this exciting revolution. Join us for a session where we'll explore the latest innovation from Microsoft on AI.
Let's explore the latest technologies, including the latest advancements with Large Language Models from OpenAI. We'll also discuss the importance of developing AI in a way that benefits society as a whole.
Don't miss this opportunity to learn and discover how you can leverage AI to drive innovation in your own organization.
Making sense of unstructured data with AI
Do you have a lot of data in unreadable formats such as PDFs, images and audio files and want the ability to extract this rich information, analyze it and act on it?
In this session, you'll learn how to combine a set of Cognitive Services like Azure Cognitive Search to make sense of this data in a short amount of time. We'll discuss AI concepts, like the ingest-enrich-explore pattern, skillsets, leveraging cognitive services, knowledge bases and connecting all these elements together to build an intelligent search experience into an applications.
Building accessible experiences with AI
AI can be a game changer for people with disabilities. Already we’re witnessing this as people with disabilities expand their use of computers to hear, see and reason with impressive accuracy.
At Microsoft we’ve been putting to work stronger solutions such as real-time speech-to-text transcription, visual recognition services and predictive text functionality. AI advances like these offer enormous potential by enabling people with vision, hearing, cognitive, learning, mobility disabilities and mental health conditions do more in three specific scenarios: employment, modern life and human connection.
In this session we dive into the tools and services that are available for you to create solutions that are more accessible and inclusive.
The session will be packed with demos, use cases and lot's of tips and tricks.
Join this session and learn how you can help building the future of disability inclusion and accessibility.
Build and deploy PyTorch models with Azure Machine Learning
With machine learning becoming more and more an engineering problem the need to track, work together and easily deploy ML experiments with integrated CI/CD tooling is becoming more relevant then ever.
In this session we take a deep-dive into Azure Machine Learning, a cloud service that you can use to track as you build, train, deploy, and manage models. We use the Azure Machine Learning Python SDK to manage the complete life cycle of a PyTorch model, from managing the data, to train the model and finally run it into a production Kubernetes cluster.
At the end of this session you have a good grasp of the technological building blocks of Azure machine learning services and train a PyTorch model on scale.
DotNetFriday User group Upcoming
Experts Live Nederland 2018
Unleash some AI into the wild...
IT.A.K.E. Unconference 2018
Unleash some AI into the wild...
Codegarden 2018
Infuse some AI into Umbraco
Umbraco Festival Germany
Infuse some AI into Umbraco
DevNetNoord
Unleash some AI into the wild...
Orlando codecamp
Unleash some AI into the wild...
MixUG
Beyond the usual suspects, emerging Cognitive Services
Umbracofestival UK
Infuse some Custom vision into Umbraco
DUUGFest 2017
Infuse some AI - Making Umbraco smarter
DevCamp Noord
Infuse some AI - Making apps a bit smarter
SDN
Infuse some AI - Making apps a bit smarter
Umbraco Usergroup
Infuse some AI - Making Umbraco smarter
Code & Comedy
Give Your Apps a Human Side