The past year our usergroup has been experimenting with streaming events and creating videos afterwards. In this article you find the setup that we found working the best for us. We looked at setup time, portability of set, quality of stream and the costs. The setup we landed on consists of 3 parts that you can buy for around 500 dollars.
In this session you will learn every detail about the Face API an API that can detect and describe faces found in images, but also can be used for face identification.
In this article I want to share with you how you can create a classification model using the Azure Custom Vision service with the Python SDK.
In this blogpost I want to dive into how you can create a Simpson Classification model from scratch using Azure Machine Learning service.
In this session we take a deep-dive into the DevOps process that comes with Azure Machine Learning service, a cloud service that you can use to track as you build, train, deploy and manage models. We zoom into how the data science process can be made traceable and deploy the model with Azure DevOps to a Kubernetes cluster.
In this session we do a deep dive into the A.I. stack that Microsoft has to offer. We start with pre-trained Cognitive services like Computer Vision, Anomaly Detection and Speaker recognition. And move on to the more advanced tooling like Machine Learning Studio and Azure Machine Learning Services.
This blogpost contains links to the materials used in my presentations on Ignite Tel Aviv 2019.
This blogpost contains links to the materials used in my presentations on Ignite Toronto 2019.
Custom vision in the cloud that can be consumed through an API is available now for quite some time, but did you know that you can also export the models you create in the Cloud and run them localy on your desktop or even on a small device like a the Raspberry Pi?
After using the Microsoft Custom Vision API for some time now it was time to explore the possibilities a bit more. I decided to find out if it was possible to run a exported model from the Custom Vision Service in an Azure Function and create Serverless AI
Last week I needed an Azure Function to be compiled for the x64 platform because of a dependency. It was a long google search and a lot of try and fail. Looking back it was actually very very easy. Here a summary of what I did to get it working on my local machine using Visual Studio 2017 on Windows 10
Voice interfaces are the new thing around and also Microsoft has brought us Cortana. I have a harman/kardon speaker with Cortana on my desk for quite sometime now and wanted to see how I can create something for this device
Last year Custom Vision was released to classify your own objects on images. Yesterday at Build 2018 a new Project Type was added to enable Object Detection in images. In this blog we are going to take a closer look and see what this new feature can do.
I have been playing around with Microsoft Cognitive services for some time now, seeing what they are capable of and how easy it is to use them in your applications is stunning. But what is underneath these API's, how can I train my own model and make it available through an API?
Sometimes it is just easier to record some information instead of typing it. Recordings are great, you can just sit back and listen to them, but sometimes you just want to scan over the text or maybe your environment is not the best for listening to audio. I recently had a case like that and I made an Azure Function that can process spoken text into written text and store this output in an Azure Table.
In the beginning of February we went as a team to Uganda to beta-test the tendocare.ai platform. We joined the medical team into the field visiting some remote villages in Uganda and started using the app.
Gone are the days that only a password is enough protection for your accounts. But who can remember all the different passwords for all the different websites you login to. The time is there to rethink how authenticating can be more secure and a better user experience.
In this blog we dive into how we can detect the sentiment for a Twitter Hastag. When writing this it is the day before Christmas eve and #ChristmasEve is a trending topic. Perfect to find out if twitter users are positive or negative about Christmas eve.
I explained why and in what way I'm building TendoCare. Now lets dive into the technology choices I'm making. A small side note; from this stage anything is still possible yet, but I think it is always good to have a global plan!
The first Thursday of every month is Azure Thursday! A new meetup is kicking-off in 2018.
TendoCare.ai is a platform that enables medical workers to be more effective in the field. The platform is powered with AI and redefines the way how we do medical outreach.
With the rise of AI and explosion in intelligence services the need to jump on this track is more relevant than ever. With the computing power of Azure Cloud, Artificial Intelligence is at our fingertips and waiting to be implemented in Umbraco.
After a 2 month wait my MXCHIP AZ3166 IoT devkit arrived from Seed. The board aimed to be easy to get started with sensor information and send data into the cloud
This year I will be joining Ignite 2017 in Orlando. I'm very excited and hope to meet a lot of people and get a boost of inspiration and knowledge. The main reason I'm going is to find out what is new in the world of AI. The aim is to get information about Cognitive Service, Machine learning and bots
In this post we dive into the Face API, part of the Microsoft Cognitive services landscape. We will go through the most basic setup and create a simple Azure function.
Yesterday I posted my first Windows IOT project on Hackster.io named the SmileBackPi. The SmileBackPi is a simple Windows 10 IOT solution implementing the Microsoft Cognitive Services API to reflect the emotion/mood of a group.
Microsoft recently opened up a new group of cognitive services that are still in the experimental stage. A great opportunity to get a look in the kitchen and see what Microsoft is up to and gain some experience with these…
At Build 2017 Microsoft demonstrated the Custom Vision Service. This extremely cool service enables you to identify your own objects and things in images. It is easy, just upload a set of 6 to 12 images, hit the train button…
May 2017 I went with my colleague Daniel van der Starre to Microsoft Build 2017 in Seattle. Build is a 3 day conference hosted by Microsoft to inform developers about what is going on in developers world at Microsoft. During…
An overview of some inspiring sessions about Cognitive Services from Build 2017...
I've created a task that allows you to set App Settings of a Azure App Service in a simple key value based task. Just add a key='value' in a textbox and the script will set the app setting. Recently…
Code and Comedy is Ordina's yearly event. Mixing technical talks and standup comedy make this a event one of kind. During the event I gave a small breakout session about the power of the Microsoft Cognitive Services. Slides Code A…
Adding search to a website is always a bit tricky and takes a lot of time to implement correctly. Azure Search and the Azure Search Library makes adding search capability to a website or application a lot easier. Azure Search…
Running VM's can be expensive especially when you don't use them. With this code sample for a RunBook you can make sure that your VM is shutdown at a specified time. Resource Manager Classic…