Tailwind Traders have a great website and application for customers and partners. However, they are seeing an increased amount of support tickets regarding usage of these offerings. They want to store, analyze and extract insights from their text and audio data to make better product backlog decisions and reduce their support tickets.
In this session you’ll learn how Tailwind Traders took their support ticket text and audio files, convert and extract insight metadata from each ticket using Azure Cognitive Services Text Analytics and Speech-to-Text. Then aggregated their findings to inform their product backlog and implement improvements.
Key technologies included: Azure Cognitive Services, Azure Storage and Power BI, (Aspect Based Sentiment Analysis, Speech to Text, LUIS)
Learn how to develop real-world Internet of Things solutions built with Microsoft Azure services from experts from around the world.
In this single-day event, we will cover topics ranging from IoT device connectivity, IoT data communication strategies, use of artificial intelligence at the edge, data processing considerations for IoT data, and IoT solutions based on the Azure IoT reference architecture. At the end of this event, you will have the knowledge to begin your journey to become a certified Azure IoT Developer!
No matter your time zone, you can attend the event on January 19, 2021!
All Around Azure is the amazing show you may already know to learn everything about Azure services and how they can be utilized with different technologies, operating systems, and devices. Now, the show is expanding! All Around Azure: Developers Guide to IoT is the next event in our Worldwide Online Learning Days event series and will focus on topics ranging from IoT device connectivity, IoT data communication strategies, use of artificial intelligence at the edge, data processing considerations for IoT data, and IoT solutioning based on the Azure IoT reference architecture.
Join us on a guided journey into IoT Learning and certification options. We will be hosting 2.5 hours of live content and Q and A sessions in your local time zone - so you can get all your questions answered in real-time by our speakers. No matter where you are and what time zone you are streaming from, we will see you on January 19th.
We're bringing this content to you in short presentations followed by dedicated time for your questions. This is structured to give you an overview of the topic, get your questions answered, and inspire you to learn more on your own with the resources we provide. We'll have a short break between each session to recap what we've covered and inject a bit of fun.
Keep scrolling for the abstracts and further resources of each session.
This event follows along the Internet of Things Event Learning Path. A learning path is a carefully curated set of technical sessions that provide a view into a particular area of Azure; and often help you prepare for a certification. Each session in a learning path is business-scenario focused so you can see how this technology could be used in the real world. Each session is independent, however viewing them as a series builds a clearer picture of when and how to use which technology.
The Internet of Things Event Learning Path is designed for Solution Architects, Business Decision Makers, and Development teams that are interested in building IoT Solutions with Azure Services. The content is comprised of 5 video-based modules that approach topics ranging from IoT device connectivity, IoT data communication strategies, use of artificial intelligence at the edge, data processing considerations for IoT data, and IoT solutioning based on the Azure IoT reference architecture.
Each session includes a curated selection of associated modules from Microsoft Learn that can provide an interactive learning experience for the topics covered and may also contribute toward preparedness for the official AZ-220 IoT Developer Certification.
The video resources and presentation decks are open-source and can be found within the associated module's folder in this repository.
With 80% of the world's data collected in the last 2 years, it is estimated that there are currently 32 billion connected devices generating said data. Many organizations are looking to capitalize on this for the purposes of automation or estimation and require a starting point to do so.
This session will share an IoT real world adoption scenario and how the team went about incorporating IoT Azure services.
Data collection by itself does not provide business values. IoT solutions must ingest, process, make decisions, and take actions to create value. This module focuses on data acquisition, data ingestion, and the data processing aspect of IoT solutions to maximize value from data.
As a device developer, you will learn about message types, approaches to serializing messages, the value of metadata and IoT Plug and Play to streamline data processing on the edge or in the cloud.
As a solution architect, you will learn about approaches to stream processing on the edge or in the cloud with Azure Stream Analytics, selecting the right storage based on the volume and value of data to balance performance and costs, as well as an introduction to IoT reporting with PowerBI.
For many scenarios, the cloud is used as a way to process data and apply business logic with nearly limitless scale. However, processing data in the cloud is not always the optimal way to run computational workloads: either because of connectivity issues, legal concerns, or because you need to respond in near-real time with processing at the Edge.
In this session we dive into how Azure IoT Edge can help in this scenario. We will train a machine learning model in the cloud using the Azure AI Platform and deploy this model to an IoT Edge device using Azure IoT Hub.
At the end, you will understand how to develop and deploy AI and ML workloads at the Edge.
A large part of value provided from IoT deployments comes from data. However, getting this data into the existing data landscape is often overlooked. In this session, we will start by introducing what are the existing Big Data Solutions that can be part of your data landscape.
We will then look at how you can easily ingest IoT Data within traditional BI systems like Data warehouses or in Big Data stores like data lakes. When our data is ingested, we see how your data analysts can gain new insights on your existing data by augmenting your PowerBI reports with IoT Data. Looking back at historical data with a new angle is a common scenario. Finally, we'll see how to run real-time analytics on IoT Data to power real time dashboards or take actions with Azure Stream Analytics and Logic Apps. By the end of the presentation, you'll have an understanding of all the related data components of the IoT reference architecture.
In this session we will explore strategies for secure IoT device connectivity in real-world edge environments, specifically how use of the Azure IoT Edge Gateway can accommodate offline, intermittent, legacy environments by means of Gateway configuration patterns.
We will then look at implementations of Artificial Intelligence at the Edge in a variety of business verticals, by adapting a common IoT reference architecture to accommodate specific business needs. Finally, we will conclude with techniques for implementing artificial intelligence at the edge to support an Intelligent Video Analytics solution, by walking through a project which integrates Azure IoT Edge with an NVIDIA DeepStream SDK module and a custom object detection model built using CustomVision.AI to create an end-to-end solution that allows for visualization of object detection telemetry in Azure services like Time Series Insights and PowerBI.
In all of our interactions, we aspire to embody and champion the below values:
Be Friendly and Welcoming
Listen with purpose and create space for others’ communication preferences.
Ask yourself how you can make someone else’s life easier.
Be Patient
Remember that people have varying communication styles and preferences.
Recognize that not everyone is using their native language (meaning and tone can be lost in translation).
Be Thoughtful
Think about how others will interpret your words – productive, clear communication requires effort!
Remember that sometimes it is best to refrain entirely from commenting.
Be Respectful and Inclusive
Respect differences of opinion.
Seek to build bridges and understand, not condemn or criticize.
Make a conscious effort to include people who differ from you.
Be Open and Curious
Assume good intent and interpret others’ statements or questions in good faith.
Ask questions to understand, not denounce.
Focus on continuous learning - get better at the things you already know, tackle completely new things, and ask others about their expertise to deepen yours
In Summary:
Treat everyone with respect, kindness and empathy.
Use welcoming and inclusive language.
Be thoughtful in how you communicate in person and online.
Don’t be destructive or inflammatory.
Gracefully accept constructive criticism.
Listen with purpose, create space for communication preferences; honor them by shifting to accommodate.
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