AI, Machine Learning, and IoT

The intersection of AI, Machine Learning, and IoT presents new opportunities to create value for your business, capturing new insights from the vast amounts of IoT data available, which results in stronger customer relationships and new efficiencies.

In this brief article, I have included some of the interesting sessions focused at the intersection of these areas featured at the upcoming (Nov. 26-30) Amazon Web Services re:Invent. (BTW, if you want to find out about all of the IoT activities at re:Invent then download this re:Invent IoT Guide.)

Edge computing is helping usher in interesting capabilities as IoT devices not only collect and transmit data, but also perform predictive analytics and respond to local events, even without cloud connectivity. Machine Learning at the IoT Edge session demonstrate how to use AWS Greengrass to locate cloud-trained ML models, deploy them to your AWS Greengrass devices, enable access to on-device computing power, and apply the models to locally generated data without connection to the cloud.

Industry 4.0 and AI which is a workshop session helps customers learn how to connect different industrial devices using AWS Greengrass with industry protocols (e.g., OPC UA). Next, AWS IoT Analytics is used to create AI models with Amazon SageMaker. Finally, AWS Greengrass Machine Learning (ML) Inference is used to deploy and run models.

Ambient Intelligence – Bringing ML and AI to the Connected Home is a Chalk Talk session to demonstrate how AWS IoT Analytics can help you incorporate the power of ambient intelligence into your IoT workflow and extract valuable insights from your generated IoT data.

Hear from Bill Baxter CTO of Vizio on how they are using AWS IoT and Alexa to bring a voice-controlled television experience to their hundreds of thousands of customers. Alexa and AWS IoT session introduces voice as a natural interface to interact not just with the world around us, but also with physical assets and things. The session "How Fender is Automating Its Manufacturing Operations with AWS," discusses how combining IoT and AI technologies, such as computer vision, enables customers to increase the productivity of their manufacturing process.

Sarah Cooper and James Gosling will be presenting about the future of operations and product development when AI and IoT meet to make autonomous decisions faster and better.

Attending re:Invent this year and want to meet up? Drop me a note privately and I would be delighted to follow up.

About the Author: Madhu cherishes the opportunity to learn and collaborate. Note that what is expressed by Madhu here is of his own interest and is in no way reflective of his employer.