AI in IoT: Use Cases and Challenges

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AI in IoT Use Cases and Challenges Dmitry Petukhov, Machine Learning Preacher, Microsoft AI MVP && Coffee Addicted Machine Intelligence Researcher @ OpenWay #IoTComminity

Transcript of AI in IoT: Use Cases and Challenges

Page 1: AI in IoT: Use Cases and Challenges

AI in IoTUse Cases and Challenges

Dmitry Petukhov,Machine Learning Preacher, Microsoft AI MVP && Coffee Addicted

Machine Intelligence Researcher @ OpenWay

#IoTComminity

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The Internet of Things (IoT) and Artificial Intelligence (AI) are transforming how people, devices and data interact in every sphere of life.

IoT & AI Insider Labs

The Philips HealthSuite digital platform analyzes and stores 15 PB of patient data from 390 million imaging studies, medical records, and patient inputs…

How AI connect dots for IoT

Jisheng Wang. Deep learning in enterprise IoT, Artificial Intelligence Conference 2017.* With the participation of MIT, Berkeley UC, Microsoft, IBM, Google, Intel, SAP, and Andrew Ng.

Cutting Edge

They regard IoT and AI as a match made in tech heaven <…> IoT will play an important role in their AI initiatives within two years.

AI is the future of IoT

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(𝐿𝑆𝑇𝑀 ∈ 𝑅𝑁𝑁 ∈ 𝐷𝐿 ∈ 𝑀𝐿 ∈ (𝑀𝐼 ≅ 𝐴𝐼)) ∈ 𝐷𝑆

Features and LabelContinuous and categorical

Terms

Сlasses of algorithmsUnsupervised Learning

Supervised Learning

Reinforcement Learning

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AI in IoT: Use Cases

Industrial IoT

Manufacturing Predictive maintenance Process optimizations Supply chain optimization

Energy Smart Grids Predictive maintenance

Healthcare Diagnostics and early

detection Remote measuring

Retail Automated checkouts Inventory Optimization

Government Smart Lightning Traffic Management Citizens tracking

Telecommunications Network maintenance Connected vehicle/home

Consumer IoT

Connected Vehicles Remote management Real-time diagnostics

Connected Homes Home energy management Home automation Private property security

Health and Lifestyle Fitness and health tracking Wearables Real-time diagnostics

Science IoT

Experimental Physics

Robotics

Medicine

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IoT == Internet of Things Interrelated devices; To be able to transfer data over a network; Do not require computer and/or human interaction.

AIoT == Internet of Things + AIThe same features as bare IoT plus… Intelligent processing of large amount of data; Self-learning; Self-monitoring/-healing; Autonomous complex decision making.

IoT vs AIoT

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Predictive Maintenance Demo

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IoT+AI in Cloud: Design

Source: https://gallery.cortanaintelligence.com/Solution/Predictive-Maintenance-for-Aerospace-4

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Healthcare Demo

At health technology giant Philips, about sixty percent of the researchers,

developers, and software engineers today are working on innovations in

healthcare informatics…

Trends in applications for healthcare artificial intelligence focus on

imaging and diagnostics where AI can help find subtle details and

changes in images that people cannot see.

TheNextWeb.com

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Data Azure

Machine LearningConsumers

Cloud storage

Business problem Modeling Business valueDeployment

Model REST API

Manage

Local storage

REST API

Reference: Microsoft Data Amp 2017

ML StudioWeb IDE + ML runtime

ML Web ServicesML-model publication

Azure MarketplaceCortana Gallery

Data

Model

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© 2017, Dmitry Petukhov. CC BY-SA 4.0 license. Microsoft and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.

AI IoT!

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Q&A

Now or later (see contacts below)

Stay connected

Habr: @codezombie

All contacts: http://0xcode.in/@codez0mb1e

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