Since I have begun working in banking industry, I will start a new learning project. I will rewrite my previous currency collector to use the OpenExchangeRate API for real-time data for a given set of currencies like Bitcoin, ethereum, USD, NOK and EUR. The OER API supports the following currencies. At the current time, the developer plan only cost 12$/month with 10K calls to the API – a good deal, if you as me.
My new employer komplettbank.no offers consumer loans and credit cards at the moment. But in my learning project, I will expand this to involve currency loans and maybe blockchain with bitcoins and ethereum.
I will create entities for customer, account, loan and currency, in addition to supporting entities for calculating risk and corralation. My goal will also include to add some machine learning into this for a starter. In addition, i will create a BOT for asking for currency rates and currency conversions.
My goals will be to use Azure SQL, Web Apps and Azure Functions and/or Azure App Fabric for a Microservice application architecture.
Happy coding and designing…
There have been a lot of blog articles about chat bots and robots that will invade our daily life. Don’t worry, they are already here. Microsoft Azure
has a lot of services that can be used to create Bots of different kinds.
Azure has some powerful cognitive services
that enable chat bot to accept user input categorized as utterance – either as voice or written text. Azure has Speech APIs
and Translation APIs
to convert back and forward between speech to text, in addition to translate between different languages.
The past years, Microsoft Azure has released a lot of services around analytics and data management. Many of them is centered around what is called Cortana Intelligence Suite
(CIS) shown in the picture below:
This suite connect many services together and shows the way how Microsoft is defining Analytics for the future. On the right bottom side the chat bots are resides with mobile and web applications. In short, CIS collect on-premise and cloud data from a different of sources like IoT devices, external apps, APIs and similar. These data can be stored in Data Lake Store
or SQL DW that is the basis for analytical services as Azure Machine Learning
, Data Lake Analytics
and Stream Analytics
. The data from the storage or result of analytics tools can be visualized with PowerBI, and queried with web/web/bot applications.
But this will be the topic of future blog posts – over and out!
In mid-February, I was discussing with some colleagues in EVRY to hold a hackathon soon. Immediately, I started to think of what I wanted to create independently of the Hackathon discussions. After a while I was fascinated by the idea of creating a coffee machine bot using Microsoft technologies to its full extent. The plan is to use this project to learn new things, and put everything together around the “Coffee Machine Bot” idea.
I have multiple inspirational sources for this Project
- The fact that software developers consume huge amount of coffee all day (and nights)
- The great GitHub project “hacker-scripts” (separate commands in the bot)
- Homer’s fantastic kitchen machines
- Using cognitive APIs for voice and face recognition to identify persons
- Bot should understand multiple languages, such as English, Norwegian and Swedish
- Using advanced machine learning, analytics and cognitive services to suggest the drink based on drinking habits, time of day, weather, humour and emotion.
- Rate drink
- As usual
- Add to favourites
- Recommend New
- Automatically order new ingredients based on consumption, number of forthcoming workdays.
- Schedule planned and predictive maintenance
- Using HR, IFS, SM9 systems to look scheduled overtime and evening/night/weekend. Make sure participating employees had their drinks covered
This weekend I will do some research for the Face API and Emotion API available in Microsoft Azure.
After we found out that SOTI Enterprise Mobility Management system didn’t fully support Windows 10 Store Apps in “Kiosk Mode”, we had to rewrite out latest app using WPF technologi instead.
In this process. I wanted a kind of watermark in my TextBox Controls. After some googling, I found a pretty nice library called “Extended WPF Toolkit” on codeplex (and Nuget).
How to create a watermark input textbox
- Add “Extended.Wpf.Toolkit” via Nuget
- Add XML Namespace at the top of the XAML file
- Add “xctk:WatermarkTextBox” instead of “TextBox” Control With the Watermark attribute set to the help text
<xctk:WatermarkTextBox x:Name="txtSearch" Watermark="type search pattern" />
Microsoft have released three Azure Specialist exams for the last few months. I have been watching a lot of videos on Microsoft Virtual Academy, Channel9 and Pluralsight the last few years, and very intensivly since December 2014.
70-532 Developing Microsoft Azure Solutions. This is a developer exam for people who wants to be able to designing, programming, implementing, automating, and monitoring Microsoft Azure solutions.
70-533 Implementing Microsoft Azure Infrastructure Solutions. This is an exam for IT-pros and solution architects who wants to implementing an infrastructure solution in Microsoft Azure. Candidates have experience implementing and monitoring cloud and hybrid solutions as well as supporting application lifecycle management.
70-534 Architecting Microsoft Azure Solutions. This is an exam for Solution Arcitects should know the features and capabilities of Azure services to be able to identify tradeoffs and make decisions for designing public and hybrid cloud solutions. Candidates who take this exam are expected to be able to define the appropriate infrastructure and platform solutions to meet the required functional, operational, and deployment requirements through the solution lifecycle.
I’m having just some hours left of the first part of my KiPi 2015 Challenge for “Cloud Development“, and the next course path is “Mobile Development”. This path will contain video sessions on C#, XAML, Universal app development and how Xamarin and Visual Studio can be used for cross-plattform development. These courses are about 32 hours in total watching.
As I wrote in the previous post, I’m participating in the KiPi 2015 Challange at Microsoft Virtual Academy (MVA). I have decided to focus on 100% on Microsoft Azure (cloud paths) during this challange – cloud development, mobile develogment, hybrid could.
The first path “Cloud Development” that consist of four different courses:
Currently, I have just compled “Part 2”, and looking forward to the next 2 parts.