The document discusses AI and IoT, highlighting several use cases and challenges. It notes that AI and IoT are transforming how people, devices, and data interact across many domains. Specifically, it provides examples of how Philips analyzes 15PB of patient data and how AI can connect disparate IoT data. Additionally, it outlines several common use cases for applying AI to IoT in various industries like manufacturing, energy, healthcare, and more. Finally, it contrasts bare IoT with AIoT, noting that AIoT involves intelligent data processing, self-learning, autonomous decision making that enhances IoT.

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

2. 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

3. (𝐿𝑆𝑇𝑀 ∈ 𝑅𝑁𝑁 ∈ 𝐷𝐿 ∈ 𝑀𝐿 ∈ (𝑀𝐼 ≅ 𝐴𝐼)) ∈ 𝐷𝑆
Features and Label
Continuous and categorical
Terms
Сlasses of algorithms
Unsupervised Learning
Supervised Learning
Reinforcement Learning

4. 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

5. 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 + AI
The 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

6. Predictive Maintenance Demo

7. IoT+AI in Cloud: Design
Source: https://gallery.cortanaintelligence.com/Solution/Predictive-Maintenance-for-Aerospace-4

8. 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

9. Data
Azure
Machine Learning
Consumers
Cloud storage
Business problem Modeling Business valueDeployment
Model REST API
Manage
Local storage
REST API
Reference: Microsoft Data Amp 2017
ML Studio
Web IDE + ML runtime
ML Web Services
ML-model publication
Azure Marketplace
Cortana Gallery
Data
Model

10. © 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!

11. Q&A
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