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Latest 7 Posts
Quick Update
Thu, Sep 1st 2016 6
Analyzing Data with IBM Watson Internet of Things
Tue, Jun 14th 2016 8
Recognizing Text in Images with Watson’s Visual Recognition API
Mon, Jun 6th 2016 6
Pictures from Bluemix at DNUG
Fri, Jun 3rd 2016 8
Machine Learning Courses for Developers
Wed, Jun 1st 2016 7
Spark Machine Learning Samples for IBM Bluemix
Mon, May 30th 2016 7
Integrating Tools in Bluemix DevOps via Open Toolchain
Fri, May 27th 2016 8
Top 10
How to build Facebook Chatbots with IBM Watson
Thu, May 12th 2016 16
Samples of the Watson Tradeoff Analytics Service
Tue, Feb 2nd 2016 15
Usage of Swagger 2.0 in Spring Boot Applications to document APIs
Tue, Nov 17th 2015 14
How to trigger OpenWhisk Actions on Cloudant Databases Changes
Thu, Mar 17th 2016 13
Bluemix Object Storage Service to store Files in the Cloud
Tue, May 19th 2015 11
Simple Sample of the Watson Document Conversion Service
Wed, Jan 27th 2016 10
Authentication in Bluemix Applications via SAML Identity Providers
Mon, Feb 2nd 2015 9
Sample of the Watson Retrieve and Rank Service
Tue, Jan 12th 2016 9
Developing Offline Capable Mobile Apps with LoopBack
Mon, Mar 21st 2016 9
Meet Bluemix at JavaLand 2016
Mon, Feb 8th 2016 8

Niklas Heidloff
Blog Title Niklas Heidloff
Blog Description Developer Advocate for IBM Bluemix
Blog URL http://heidloff.net
RSS Feed http://heidloff.net/nh/home.nsf/feed.rss
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Feed Last Checked Sep 01, 2016 4:01:14 AM EST. Realtime Update:
Location Germany

Recent Blog Posts
Quick Update
Thu, Sep 1st 2016 4:01a   Niklas Heidloff
Some people have asked why I haven’t blogged since June. Here is why … Almost two years ago I started to work for IBM Emerging Technologies. I wanted to work in this group for multiple reasons. One reason was because some of the people in that group worked as developer evangelists for Bluemix which is what I wanted to do as well. I really enjoyed this role since I could learn a lot, since I could blog and open source samples, since I could attend developer conferences and more. As yo
Analyzing Data with IBM Watson Internet of Things
Tue, Jun 14th 2016 4:47a   Niklas Heidloff
Once you’ve connected your ‘things’ with the Watson Internet of Things platform, the next question is how to process the received data. In some scenarios the raw data triggers actions immediately, sometimes the data needs to be persisted so that it can be used for historical/descriptive analysis and sometimes the data is used to perform predictive analytics and prescriptive analytics. The Watson Internet of Things platform uses MQTT which is a lightweight and secure publish/sub
Recognizing Text in Images with Watson’s Visual Recognition API
Mon, Jun 6th 2016 6:23a   Niklas Heidloff
The Watson Visual Recognition service is now generally available and a lot of new functionality has been added. The service combines the old beta capabilities plus the Alchemy functionality and the previous Visual Insights service. With the new service you can receive classifications of images, faces can be detected and even text is recognized. All of this can be done by simply invoking APIs without requiring deep learning skills. With the new service you can now define and train multiple custom
Pictures from Bluemix at DNUG
Fri, Jun 3rd 2016 4:12a   Niklas Heidloff
This week I attended DNUG in Hamburg/Germany. DNUG is the German user group for IBM Collaboration Solutions. In the app dev track several sessions covered Bluemix. It was the 43th conference of DNUG but this time it was very different. After years of declining numbers of attendees the new board has managed to double the number of attendees compared to the last conference. The new DNUG organization is now much leaner and cost effective. One example is that all servers and infrastructure has been
Machine Learning Courses for Developers
Wed, Jun 1st 2016 3:07a   Niklas Heidloff
As readers of my blog will know, I want to learn more about machine learning. I’ve managed to run some samples and I’ve built my own first little samples. It feels like the next step is to understand more about the different algorithms, for example when to pick which one and how to tune the parameters to achieve the best results. To learn more, I’ve started to watch the first hours of the awesome courses below. The courses are a great introduction to machine learning and very d
Spark Machine Learning Samples for IBM Bluemix
Mon, May 30th 2016 4:54a   Niklas Heidloff
Below is a quick overview of samples that demonstrate how to use the machine learning capabilities in Spark on IBM Bluemix. Flight Delay Predictions David Taieb posted the slides of his hands-on session how to predict flight delays based on historical data and whether predictions. The sample uses the machine learning algorithms Logistic Regression, Random Forrest, Decision Tree and Naive Bayes. Open Article Rock-Paper-Scissors Game When playing rock-paper-scissor everyone has his/her own strat
Integrating Tools in Bluemix DevOps via Open Toolchain
Fri, May 27th 2016 5:26a   Niklas Heidloff
At InterConnect IBM previewed a new set of DevOps functionality which is now available as experimental on Bluemix. Via Toolchains IBM tools and third party tools can be used seamlessly together for the development, deployment and management of Bluemix applications. With toolchains other common non-IBM tools can be integrated nicely in the Bluemix developer experience, for example by providing a single sign on between Bluemix and the various tools. Additionally the tools can interact between each
Running the Spark Recommendations Sample on Bluemix
Wed, May 25th 2016 5:29a   Niklas Heidloff
Apache Spark comes with a set of machine learning samples. One of those sample is a movie recommendation system which makes personalized recommendations based on a technique called Collaborative Filtering. In this article I describe on a high level how this sample works. For more details check out the tutorial from the Berkeley university. The dataset used in that tutorial contains 10 million ratings from 72,000 users on 10,000 movies. The Spark project comes with a synthetic dataset in the same
Discovering Open Data via Analytics Exchange on Bluemix
Wed, May 25th 2016 3:22a   Niklas Heidloff
As I’m trying to learn more about machine learning I spent some time to look for data that I can use. While GitHub is the place to get open source code, there doesn’t seem to be a counterpart for open data. Below are a couple of websites that help finding data. In Bluemix there is an Analytics Exchange which gives you access to free and open data in categories such as economy and business, leisure, transportation, and others. The screenshot shows a sample dataset which contains revie
Getting started with Spark Machine Learning on Bluemix
Thu, May 19th 2016 6:15a   Niklas Heidloff
I’m fascinated by the power of machine learning and I’m trying to learn more about this technology. I’ve started to look into how to use the machine learning library in Spark. The Spark documentation of the spark.ml package explains the main concepts like pipelines and transformers pretty well. There are also a number of good videos on YouTube about machine learning. I’ve used the spark.ml library as opposed to spark.mllib since it’s the recommended approach and it
Getting started with Predictive Analytics on Bluemix
Wed, May 18th 2016 4:06a   Niklas Heidloff
IBM Bluemix provides a service Predictive Analytics which developers and data scientists can use to build applications that help users to make predictions about the future for different scenarios. Below is a quick introduction of this functionality. Let’s start with a definition of Predictive Analytics from Wikipedia. Predictive analytics encompasses a variety of statistical techniques from predictive modeling, machine learning, and data mining that analyze current and historical facts to
How to build Facebook Chatbots with IBM Watson
Thu, May 12th 2016 4:23a   Niklas Heidloff
I’ve open sourced a simple sample of a chatbot for Facebook that leverages IBM Watson Dialog and IBM Watson Natural Language Classifier for conversations with users. Get the code from GitHub. The GitHub project contains a sample of a Facebook bot built on the Facebook Messenger Platform which is currently available as beta. The sample bot is pretty simple but might people give some ideas how to use cognitive Watson services and how to host the bot on Bluemix. The sample bot shows recent tw
Check out the High Quality Bluemix Webinars
Tue, May 10th 2016 4:11a   Niklas Heidloff
In order to learn new technologies I often watch webinars and videos. For Bluemix there pretty good technical webinars with great speakers, mostly from the development teams. Unfortunately they are not that easy to find. So here is a quick overview. IBM Bluemix Dev Webinars Upcoming webinars Registration on event.on24.com (17 fields) Replays are available after registration IBM developerWorks Open Tech Talks Upcoming webinars Registration on ibm.6connex.com (9 fields) Replays are available a
How to invoke OpenWhisk Actions for certain IoT Device Events
Mon, May 9th 2016 3:26a   Niklas Heidloff
Serverless Computing is often useful in event-driven Internet of Things (IoT) scenarios. For example when IoT sensors exceed a certain temperature actions are invoked to fix the issue. OpenWhisk is IBM’s serverless computing offering in Bluemix. In order to implement a use case like above with the experimental OpenWhisk service, at this point you need to deploy a non-serverless application which receives MQTT events from IoT devices and invokes the appropriate OpenWhisk actions. While such
How to use Spring Boot for Serverless Computing
Wed, May 4th 2016 5:49a   Niklas Heidloff
Serverless Computing is a relative new technology which allows developers to build event driven code which scales and for which you only pay the time it’s running. OpenWhisk is IBM’s serverless computing offering hosted on Bluemix. With OpenWhisk developers can implement actions via JavaScript, Swift and Docker. Via Docker other programming languages like Java can be used. This article describes how you can use Spring Boot to develop an action, how to build a Docker image and how to
Useful MQTT Tools for the IBM Watson IoT Platform
Tue, May 3rd 2016 4:00a   Niklas Heidloff
For the development of Internet of Things applications it’s often useful to simulate devices. Below are two options which are easy to use. The instructions describe how to connect to the IBM Watson IoT Platform on Bluemix. In all cases you need to create your own Internet of Things Platform service and create your own device type and device. MQTT Helper With the MQTT Helper application on Bluemix you can connect to a MQTT broker and subscribe and publish to MQTT topics. The trick is to kno
Creating Docker Actions with OpenWhisk
Mon, May 2nd 2016 8:32a   Niklas Heidloff
OpenWhisk is an event-driven compute platform that executes code in response to events or direct invocations. The advantage is that you only have to pay for actual usage, not for peaked projections. Developers can implement actions via JavaScript, Swift and, as described below, via Docker. Via Docker other programming languages than JavaScript and Swift can be used. Plus with Docker you can write JavaScript actions that require more Node modules than currently supported by OpenWhisk JavaScript a
How to use API Connect to manage LoopBack APIs
Tue, Apr 26th 2016 6:11a   Niklas Heidloff
LoopBack is a great Node.js framework for building APIs. In the easiest case business objects can be defined declaratively and LoopBack generates REST APIs, the documentation of the APIs, the persistence as well as a client side JavaScript APIs automatically. To take it one step further I used the new Bluemix service API Connect to manage these APIs. As an example I used a simple sample application ‘Approval Requests’ built on the CLEAN stack. The sample is available as open source a
Developing OpenWhisk Actions via the new Web Editor
Mon, Apr 25th 2016 6:02a   Niklas Heidloff
In addition to Cloud Foundry, Docker and Virtual Maschines Bluemix provides a fourth compute option OpenWhisk. OpenWhisk is an event-driven compute platform that executes code in response to events or direct invocations without having to maintain servers. The advantage is that you only have to pay for actual usage, not for peaked projections. As I blogged about earlier you can write OpenWhisk actions in JavaScript and Swift. The actions can be deployed via CLI (command line interface) and now al
Pictures from Bluemix at JAX 2016
Fri, Apr 22nd 2016 4:04a   Niklas Heidloff
This week my colleagues David Barnes, Ryan Baxter, James Thomas, Thomas Bück, Timo Roeseler and I attended JAX in Mainz/Germany which was attended by 2000 people, mostly Java developers. There was a lot of interest in Bluemix and we enjoyed the discussions with developers. Below are some pictures from our booth, our sessions and prize draws. The team from left to right: Ryan, James, David, Thomas, Niklas David Barnes in his keynote about the next generation of software developers and drones:
How to get started with Machine Learning on Bluemix
Fri, Apr 15th 2016 10:22a   Niklas Heidloff
There is a lot of talk about artificial intelligence (AI) these days, especially since Google’s AlphaGo beat a Go world champion. Companies like IBM are using this technology already in a number of products. For example on Bluemix developers can easily consume cognitive Watson services like speech or image recognition that use machine and deep learning under the cover. While these Watson services are very easy to use for developers, sometimes you want to use machine learning for other scen
Driving Cars autonomously with IBM Bluemix
Mon, Apr 11th 2016 5:27a   Niklas Heidloff
At JavaLand we presented how to steer Anki Overdrive cars with IBM Bluemix via speech and gesture recognition. Since the cars send their position data to the cloud we could also demonstrate a simple version of collision prevention. The demo is available as open source and I documented it in a series of blog entries (see below). My colleague David Barnes interviewed me and created the video Driving Cars autonomously with IBM Bluemix. Thanks a lot, David! Here is the high level architecture with
Measuring Heart Rate with Wireless Earphones and Bluemix
Thu, Apr 7th 2016 10:06a   Niklas Heidloff
The Dash from Bragi are wireless smart earphones with a lot of sensors in them. Below is a quick example how to get data from the heart rate sensor and send it to IBM Bluemix. This functionality could be used, for example, to track health of factory workers or patients in hospitals. I open sourced the code on GitHub. At this point the controller is running on a MacBook (when the device will expose more sensor data, I’d like to provide a sample mobile app). The controller talks to The Dash
Meet Bluemix at JAX 2016
Wed, Apr 6th 2016 4:33a   Niklas Heidloff
From April 19th until 21st my colleagues David Barnes, Ryan Baxter, James Thomas and I will attend JAX in Mainz/Germany to present IBM Bluemix and to talk with developers. JAX is a developer conference with around 2000 attendees with a focus on Java, architecture and software innovation. I attended JAX and W-JAX last year and based on my positive experience I’m sure it will be a great conference again. David, Ryan, Thomas and I will give sessions related to the cloud, IoT and Docker. The
My Thoughts on the Next Generation of IBM Domino App Dev
Tue, Apr 5th 2016 6:26a   Niklas Heidloff
Before I started to work on Bluemix I had worked 15 years in the IBM Collaboration Solutions space, especially on application development. Below are my personal thoughts on how app dev in IBM Domino could evolve, both on-premises and in the cloud. App Dev Models in Domino Since Domino has been around for a long time the app dev capabilities have grown. At this point there are developers who build rich client applications via forms and views, there are developers who use Domino pass through HTML,

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