RunTime: 63 minutes
A panel discussion will teach you how you can be validating and iterating your project just in weeks.

It's been reported that 75% of IoT projects will fail, so it's no surprise that rapid prototyping is critical for delivering proof of concept. The faster you can get your solution into the hands of users to test in the real world and generate data with actionable insights, the faster you can work through the complexity, identify problems, iterate, and move forward with a competitive solution that provides value. Very's cross-disciplinary team of engineers is known for its rapid delivery of prototypes. Attend this webinar to learn key success criteria we've developed for rapid prototyping of IoT solutions.

Topics in this webinar will include:

• Driving rapidly toward business value
• Choosing the right project methodology
• Leveraging the most effective tools
• Working with top dev boards and kits - or making your own
• Real-life results of these practices in action

With early working prototypes, you'll be testing and iterating in a matter of weeks. Register today to reserve your spot and learn how.

Speakers:
Bill Flaherty, Director, Hardware Engineering, Very
Adam Drewery, Manager of Hardware Engineering, Very
Jake Washam, Senior Mechanical Engineer, Very
Daniel Fudge, Director of ML and Data Engineering, Very

Every IoT deployment has unique challenges and requirements according to the InfoBrief by IDC “Tailoring Use Case Based Solutions to Ensure Success with Managed IoT Connectivity.” Their InfoBrief examines enterprises’ key challenges in IoT Deployments in high growth segments including payment & vending, asset monitoring, video monitoring and smart cities. They look at what is required to tailor your solution to your use case.
 
Attend this webinar to learn about:
- Factors driving IoT cellular connectivity growth
- The challenges IoT project managers face around cellular connectivity
- How tailored solutions are the key to IoT success
- Use cases in high growth segments, including payment and vending, asset monitoring, video monitoring and smart cities
- Selecting the right managed IoT connectivity partner

Speakers:
Rupa Datta, Senior Director, Product, Managed Connectivity Services at Sierra Wireless
Sandra Wendelken, Senior Research Analyst, Mobile and IoT Services at IDC

Moderator:
Erik Linask, Group Editorial Director, IoT Evolution Expo

In this IoT Central webinar, you will learn how to ensure that your IoT and edge products are delivered to your customers on time. In addition to timely delivery, customers expect your devices to function perfectly without any issues. It is imperative to provide regular updates to enhance device features and meet growing customer demands. To accomplish this, your product and engineering teams must work efficiently to meet deadlines and exceed customer expectations. This webinar will explain how to accomplish all of this.

During this webinar, François Baldassari, CEO of Memfault, will discuss utilizing device reliability engineering techniques to minimize risks during product launches and ensure timely shipment. He will share anecdotes from his tenure at Oculus and Pebble and provide guidance on:

● Reducing the NPI (New Product Introduction) timeline.
● Separating software and hardware timelines, utilizing test-driven development, Day-0 updates, and more.
● Incorporating performance metrics, debugging features, and reliable OTA into IoT devices.

Speaker: François Baldassari, CEO of Memfault

In this IoT Central Webinar, you will learn about proven methods to ensure connected products and devices thrive over their lifetime. Significant resources are invested to design and launch IoT products and devices. It is important to protect your investment and create a process that will avoid complexities and capitalize on opportunities through proper ongoing management, feedback, and improvements.

Attend this webinar and learn how to:
- architect IoT products that minimize recurring maintenance and ongoing costs
- apply agile methodologies to IoT devices that are based on hardware
- utilize machine learning to support predictive maintenance
- create an effective IoT product roadmap that evolves with your users

Register today to learn these valuable skills and insights that will save you time, money and help you avoid the pitfalls of maintaining IoT products after launch.

Speaker: Jonathan Rand, Product Owner at SpinDance

Run Time: 25 minutes

In this IoT Central MicroSession with Edge Impulse, learn how to collect data from custom sensors and store the readings in CSV files for analysis and uploading to Edge Impulse. For seamless efficiency, the Edge Impulse Data Forwarder tool can be used to automatically send data to the Edge Impulse Studio using an internet connection with your embedded system tethered to your computer via USB. By storing data to CSV files, you can then collect samples in the field without an internet connection.

Instructor: Shawn Hymel, Senior Developer Relations Engineer, Edge Impulse

Required Hardware: Arduino Nano 33 BLE Sense

Preparation: Free sign-up at https://studio.edgeimpulse.com/signup

Run Time: 19 Minutes

In this IoT Central MicroSession with Edge Impulse, learn how to create a real-time object detection system (FOMO) using low-power microcontrollers. You will learn how to collect a high quality object detection dataset to train and deploy a FOMO model to a microcontroller like the Himax WE-I Plus.

Instructor: Jenny Plunkett, Senior Developer Relations Engineer, Edge Impulse

Preparation: Free sign-up at https://studio.edgeimpulse.com/signup

Run Time: 23 Minutes

In this IoT Central MicroSession, learn how to create a non-human voice audio classification system to identify when a faucet is leaking. This demo can also be adapted for industrial use cases, such as identifying machine failures with grinding sounds, or even for wildlife conservation purposes, to recognize the vocalizations of various endangered species in the wild.

Instructor: Jenny Plunkett, Senior Developer Relations Engineer, Edge Impulse

Optional Hardware: Mobile Phone

Preparation: Free sign-up at https://studio.edgeimpulse.com/signup

Learn how to perform feature normalization and standardization prior to uploading data to Edge Impulse. This process involves calculating the mean and standard deviation of each channel and standardizing the data along a single axis to have a mean of 0 and a standard deviation of 1. The means and standard deviations will need to be recorded for inference during deployment. We use Google Colab to perform this analysis and transformation prior to uploading the data to Edge Impulse.

Instructor: Shawn Hymel Senior Developer Relations Engineer, Edge Impulse

Optional Hardware: None

Preparation: Free sign-up at https://studio.edgeimpulse.com/signup

Run Time: 16 Minutes

In this IoT Central MicroSession with Edge Impulse, quickly learn how to build continuous audio classification applications using Edge Impulse. First see a walkthrough of the theoretical understanding of the continuous classification methods before diving into the demo. Then follow a demo of the data collection and exploration, impulse design, and finally perform live inference on an Arduino Nano 33 BLE Sense, smartphone or anyone one of the boards listed below.

Instructor: Clinton Odour, Senior Developer Relations Engineer, Edge Impulse

Optional Hardware: Any smartphone and most boards with a microphone or an accelerometer. Examples include: ST B-L475E-IOT01A, Arduino Nano 33 BLE Sense, ESP32 FireBeetle with LIS3DHTR accelerometer, Himax WE-I Plus, Nordic Semiconductor nRF52840 DK, nRF5340 DK or nRF9160 DK, Silicon Labs Thunderboard Sense 2, Sony's Spresense, TI CC1352P LaunchPad, Raspberry Pi 4, Nvidia Jetson and more.

Preparation: Free sign-up at https://studio.edgeimpulse.com/signup

Run Time: 27 Minutes

In this IoT Central MicroSession, learn how to create a keyword spotting system to recognize spoken words. Follow along or use an Arduino board (details below) and classify words using Edge Impulse.

Instructor: Shawn Hymel, Senior DevRel Engineer, Edge Impulse

Optional Hardware: Arduino Nano 33 BLE Sense

Preperation: Free sign-up at https://studio.edgeimpulse.com/signup

Run Time: 20 Minutes

In this IoT Central MicroSession, learn how to create a keyword spotting system to recognize spoken words. Follow along or use an Arduino board (details below) and classify words using Edge Impulse.

Instructor: Shawn Hymel, Senior DevRel Engineer, Edge Impulse

Optional Hardware: Arduino Nano 33 BLE Sense

Preparation: Free sign-up at https://studio.edgeimpulse.com/signup

Run Time: 12 Minutes

In this IoT Central MicroSession with Edge Impulse, learn how to integrate object detection models with the Linux Python SDK to build fully-customizable applications. In this example, you will see how an object detection model running locally can output a live video stream with the bounding boxes in a web application.

Instructor: Louis Moreau, Senior Developer Relations Engineer, Edge Impulse

Optional Hardware: Linux x86 or MacOS

Preparation: Free sign-up at https://studio.edgeimpulse.com/signup

Run Time: 15 Minutes

In this IoT Central MicroSession with Edge Impulse, quickly learn how to build an object detection model using Transfer Learning. You will also learn how to run the live inference using Edge Impulse Linux CLI or MacOS-based hardware. This is the first ion a two part series (coming soon).

Instructor: Louis Moreau, Senior Developer Relations Engineer, Edge Impulse

Optional Hardware: Linux-based or MacOS-based hardware

Preparation: Free sign-up at https://studio.edgeimpulse.com/signup

Run Time: 22 Minutes

In this IoT Central MicroSession, learn about use cases for sensor fusion and how it can be accomplished using neural networks. You will walk through how a machine learning model performing sensor fusion can be trained in Edge Impulse and tested on a microcontroller.

Instructor: Shawn Hymel, Senior Developer Relations Engineer, Edge Impulse

Optional Hardware: Arduino Nano 33 BLE Sense

Preparation: Free sign-up at https://studio.edgeimpulse.com/signup

Run Time: 18 Minutes

In this IoT Central MicroSession with Edge Impulse, learn the process of performing data augmentation on an image dataset, which includes flipping, translating, zooming, rotating, and adding noise. This process generates modified copies of the original data. See how to train a convolutional neural network (CNN) on Edge Impulse with the augmented dataset and demonstrate how it is more accurate than a model trained on the original data.

Instructor: Shawn Hymel, Senior Developer Relations Engineer, Edge Impulse

Required Hardware: None

Preparation:
Free sign-up at https://studio.edgeimpulse.com/signup
Code and dataset: https://github.com/ShawnHymel/computer-vision-with-embedded-machine-learning

Additional Resources:
A non-augmented version of the project used in the video: studio.edgeimpulse.com/public/36514/latest
An example of the project with augmented data: studio.edgeimpulse.com/public/36800/latest

Run Time: 29 Minutes

In this IoT Central MicroSession with Edge Impulse, see how to use the Edge Impulse C++ SDK library to perform inference on any platform. You will learn how to build a C++ application that includes the necessary library functions to predict class probabilities from a static set of raw features, as well as construct a Makefile to link the libraries together.

Instructor: Shawn Hymel, Senior Developer Relations Engineer, Edge Impulse

Optional Hardware: Lunix computer, (i.e Raspberry Pi)

Preparation: Free sign-up at https://studio.edgeimpulse.com/signup

Does your enterprise need to create an industrial IoT (IIoT) solution? Did you know you can create one in half an hour?

In this On-Demand IoT Central Workshop you will learn how Telit deviceWISE® enables your devices and applications to communicate with one another. It empowers you to connect your enterprise and IoT applications — without writing custom code. Telit deviceWISE automatically connects devices and applications, so you can start configuring quickly with drag-and-drop logic.

This IIoT platform makes it possible for you to:

· Collect and visualize real-time machine data
· Build IIoT around existing and legacy equipment
· Reduce time to market
· Scale from pilot project to complete enterprise solution with ease

Join Telit for a workshop to learn the critical steps to design your IIoT solution. Telit will outline the process and the dependencies and concurrencies. We will show you how to collect data from industrial machines and elaborate your edge logic functions with Telit deviceWISE.

In addition, you will learn:

· How to integrate your IIoT solution to external databases
· How to create your front-end solution
· The top five pitfalls to avoid

Instructors:
Ricardo Buranello, SVP, IoT Platforms Business Unit, Telit
Matthew Keever, FAE Solutions Engineer, Telit