Andon is a methodology originally designed by Toyota in the 80’s to allow responding faster and more efficiently to issues on manufacturing lines.

Skoda is modernizing the methodology to allow operators to respond more quickly to production problems, as well as automatically notify supervisors, leveraging Azure IoT Hub and Office 365.

Stepan Bechynsky joins us on the IoT Show to show how the solution implemented at Skoda works using the “hello world” of IoT demos: a simple button that operators can press to signal problems on a piece of equipment and that integrates into business applications such as Microsoft Teams.

You can learn more about Andon at https://aka.ms/iotshow/andon

Check out how Stora Enso makes RFID tags green

Enabling automated item level processes and bringing business and environmental benefits to the industries the RFID (Radio Frequency Identification) based solutions are getting their lost interest back step by step.

In retail for example apparel industry and retailers are implementing RFID and driving related development. Material and manufacturing point of view Stora Enso has introduced most sustainable tags to the market – providing scalability and performance.

Businesses can now run cloud intelligence directly on IoT devices at the edge managed by Azure IoT Central (https://aka.ms/iotshow/iotedgeiniotcentral).

This new feature helps businesses connect and manage Edge devices, deploy edge software modules, publish insights, and take actions at-scale – all from within IoT Central.

In this episode of the IoT Show, Ranga Vadlamudi, Principal PM in the Azure IoT team joins Olivier to demo how the integration works.

To learn more about IoT Edge devices support in Azure IoT Central, visit https://aka.ms/iotshow/iotedgeiniotcentral

In this episode of the Azure Government video series, Steve Michelotti talks with Chris Pendleton, Principal PM Manager on the Azure Maps team, about Azure Maps in Azure Government.

Learn what makes Azure Maps different from other mapping solutions available and how Azure Maps provides a truly unified experience for a mapping solution including route efficiency, traffic management, and geofencing.

For government customers, Azure Maps provides compliance with Azure Security, Azure Active Directory Tenancy, The General Data Protection Regulation (GDPR), accessibility, and globalization just to name a few.

You’ll also see several demos running in Azure Government (http://azuremapscodesamples.azurewebsites.us/) including heat maps and weather data, all of which show off the stunning visuals that are unmatched by any other mapping solution available today! 

Azure Maps Mobility Services make the life of an IoT developer easier and they contribute towards a great end user experience.

Watch this episode to see Outi Nyman, Senior Program Manager, Azure Maps, step through the APIs for these services.

Designed to support developers creating smart city applications that move people and things from one place to another, they help create applications that decrease traffic congestion and increase air quality.

The Mobility Service APIs for Azure Maps are brought to life in partnership with Moovit, Inc. Moovit combines information from public transit operators and authorities with live information from its user community to offer a real-time picture of public transit services, including stops, route information, and travel time estimations.

edureka! has posted this amazing eight hour tutorial for Azure to help beginners.

See the time index below the video to jump to a particular topic.

3:02 Why Cloud?
3:07 Before Cloud Computing
6:17 What is Cloud?
8:07 What is Cloud Computing?
8:42 Service Models
9:32 SaaS
10:17 PaaS
10:37 IaaS
11:17 Deployment Models
11:27 Public Cloud
11:57 Private Cloud
12:07 Hybrid Cloud
12:42 Cloud Providers
25:12 Azure Fundamentals
25:17 Getting Started with Azure
27:42 What is Microsoft Azure?
28:17 Use-case
30:02 How will we implement this?
34:02 Azure Components
34:12 App Service
34:22 Compute Domain
40:57 Blob Storage
41:22 Storage Domain
46:16 MySQL for Azure
46:49 Auto Scaling & Load Balancing
49:43 How to launch services in Azure?
1:04:53 Demo
1:23:08 Azure Pricing
1:28:33 Storage Domain
1:29:33 Why Storage?
1:33:48 Storage vs Database
1:34:58 What is Azure Storage?
1:41:38 Components of Azure Storage
2:12:35 Network Domain
2:12:40 Virtual Networks
2:13:35 What is Virtual Machine?
2:14:35 Why Virtual Networks?
2:15:35 What is Virtual Network?
2:16:50 What are Azure Subnet?
2:18:35 Network Security Groups
2:19:05 Virtual Network Architecture
2:20:00 Demo
3:08:24 Access Management
3:08:34 Azure Active Directory
3:09:14 What is Azure Active Directory?
3:12:26 Windows AD vs Azure AD
3:14:11 Service Audience
3:15:56 Azure Active Directory Editions
3:16:31 Azure Active Directory Tenants
3:36:06 Azure DevOps
3:36:26 What is DevOps?
3:42:21 Components of Azure DevOps
3:48:11 Azure Boards
4:20:16 Azure Data Factory
4:21:21 Why Data Factory?
4:23:06 What is Data Factory?
4:25:51 Data Factory Concepts
4:27:26 What is Data Lake?
4:29:01 Data Lake Concepts
4:33:31 Data Lake vs Data Warehouse
4:36:46 Demo: Move Data From SQL DB to Blog Storage
4:59:16 Important Services & Pointers
4:59:26 Azure Machine Learning
5:01:26 Machine Learning
5:06:01 Machine Learning Algorithms
5:08:36 Various Processes in ML Lifecycle
5:11:41 Microsoft Azure ML Studio
5:34:56 Azure IoT
5:35:46 What is IoT?
5:41:11 IoT on Azure
5:44:56 Azure IoT Components
5:57:31 Azure BoT Service
6:00:31 What are ChatBots?
6:04:36 Need for Chatbots
6:07:51 Demo: Creating a ChatBot for Facebook Messenger
6:41:06 AWS vs Azure vs GCP
6:51:36 Security
6:52:16 Integration
6:53:06 Analytics & ML
6:53:51 DevOps
6:54:26 Hybrid Capabilities
6:55:01 PaaS Offerings
6:55:26 Learning Curve
6:55:46 Scalability
6:56:26 Cost Efficient
6:57:11 The Final View
6:59:01 Cloud Careers
6:59:11 Azure Interview Questions
7:36:06 Cloud Engineer Jobs, Salary, Skills & Responsibilities
7:36:41 Cloud Engineer Job & Salary Trends
7:46:51 Cloud Engineer Job Skills & Description
7:51:51 Cloud Engineer Responsibilities

An Ugly Sweaters are a great tradition but how can we make them even better (https://aka.ms/IoTShow/UglySweater) is an IoT-enabled Ugly Sweater.

In this episode of the IoT Show, Olivier Bloch is joined by Jim Bennett, a Senior Cloud Advocate at Microsoft. Jim has built an Ugly Sweater using Azure IoT Central, Microsoft’s IoT app platform, and a Raspberry Pi Zero. Dive into Jim’s Python code and learn how Azure IoT Central is able to connect IoT devices to the cloud faster than any other platform. See how Jim uses IoT Central’s extensibility APIs to control his Ugly Sweater via Twitter. This code is on GitHub for you to play with and extend. Get started today!

If you have large data sets that seem too big to map, then watch this IoT show to learn how to cluster data in Azure Maps so your users can rapidly extract insights from very large data sets.

Ricky Brundritt, Principal Technical Program Manager, Azure Maps, takes you on a historical journey from grid-based clustering to radius-based clustering. You’ll learn how the power of the open source community has contributed to the supercluster library which Azure Maps leverages extensively. Watch Ricky demo and step through Azure Maps code for clustering using large data sets of shipwrecks and earthquakes. Learn how to use cluster aggregates to perform calculations based on properties of the children of each cluster. Ricky wraps up with a demo visualizing clustered map data in the form of pie charts—again, to enable your users to extract insights quickly.

Access demo source code here: https://aka.ms/AzureMapsSamples