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May 17th 2015
DATA
[+] Focusing on Sector needs - securely
[-] Not Enabling Wide Interactions
IoT Applications
INTERACTION
UNDERSTANDING
CONTROL
INSIGHT
& more
DATADATA
DATA
From the single application (business purpose)
towards a context with several applications and
several datasets
• An IoT Platform is an intelligent layer that connect the things to the network and abstract applications from the things in order to enable the development of services.
• We want all this because we want to achieve at least three main objectives:
• flexibility (being able to deploy things in different contexts),
• usability (being able to make the user experience easy),
• and productivity (enabling service creation in order to improve efficiency, but also enabling new service development)
New Entrants
Acquisitions
2016
2016
2019
2019
• Different platforms offer different services and differentdorms of specialisation.• Those are indications forgrouping platforms.• Application Dev Centric• Data Analytics Centric• Device Management Centric• Connectivity ManagementCentric• Consumer IoT centric• Vertical Centric• Developers Focus
DiscoveryDeep
AssessmentRFP
Exploring the IoTplatform landscape and short-list platforms that match requirements through tools such as mapping analysis and features assessment.
Technical and business assessment of the short-list through tools such as hands-on evaluation.
Writing specific and robust RFPs for final selection.
Discovery
Deep Assessment
User Account Creation
Device Connection to Platform
Data Exchange Device Platform
Rules Creation
Data Visualisation
Device Data Reading
Settings Changing
Reporting and Analytics
Indicators
Time
Usability
Documentation Quality
Support
Tasks
Community
Deep Assessment
In collaboration:
Data Collection and Storage
Data Orchestration
Basic Analytics, Reporting, Visualizations
Predictive Analytics
Advanced Analytics (Simulations, Prescriptive Analytics, ML, AI)
Related Issues: Edge Analytics,Connectivity Analytics
Deep Assessment
Birkbeck Institute for Data Analytics (BIDA)
In collaboration with:
The Artificial Intelligence of Things Project
Objectives: • Understanding the concept of Artificial Intelligence• Assessing methods of artificial intelligence for the Internet of Things• Assessing the applications of AI in IoT contexts• Assessing the market landscape of AI offer in the IoT space• Defining a framework for applying and using AI in IoT spaces
Artificial Intelligence as an overall concept. It is more thanjust automation, but it regards the capacity of a machine to Express an appropriate behaviour in response to changes andOpportunities in the environment in which the machine operates
Cognitive ComputingMachine LearningDeep LearningUnsupervised versus supervised
Assisted Intelligence
Augmented Intelligence
Autonomous Intelligence
Autonomous Intelligence• Dynamic nature of the task• Automated Decisions• Machine learns continuously• Example: autonomous vehicle
Assisted Intelligence• Static nature of the task• Task is automated• Humans do not learn• Machine learns
Augmented Intelligence• Dynamic nature of the task• Human-machine exchange• Example: Smart clinical decision support
AI AIAI
Source: Maranda, A, Kaczmarek, D. 2015, Selected Methods of Artificial Intelligence for Internet of Things Cooperation
AI
• IBM Watson• Hitachi Lumada• IoTFy• Cumulocity• PTC• Bosch• Oracle
• Smart Sensors – that bring together IoT capabilities and AI capabilities – are using for
predictive and prescriptive activities at the edge in industrial processes. • Adaptive and autonomous systems without human intervention
such as monorail systems.• Autonomous surveillance in construction sties via drones• Several activities in the healthcare sector:
• Using EEG of infants (12 months) to predict risk of developing specific diseases;
• Determining Parkinson’s score with the aim to move the test from the doctor’s office into the patient’s hands.
• Detecting knee range of motion for surgery recovery patients.
• Beecham Research is running research in the areas of IoT platforms with the objective of helping adopters to explore the landscape and understand how they can find answers in that landscape for their requirements.
• Artificial Intelligence will move the current states of the IoT space at the next level, the level of autonomous machines and predictiveness. But, we all need to learn what AI is about, how it can be used, for what purposes, and what that means from an organisational perspective.
• Partnerships are key also at the research level.
@Saverio_Romeo