3. IoT – Nature of Data processing
• Sensors everywhere
• Ability to process data in real time
• Storing the data for long term analytics
https://tech.lalitbhatt.net
4. Characteristic of Data
• Nature of Data:
• Volume
• Variety
• Velocity
• Veracity
• Technical challenges are manifold
• Need to process it and make sense of it.
• React quickly
• In Technical jargon
• Latency
• Throughput
• Fault tolerance
https://tech.lalitbhatt.net
5. IoT – Standard Architecture
Things Edge Cloud
Configuration
Application
and
Storage
Controller
Sense Act
May or may
not be
present.
Acts as a
Gateway.
May provide
local controls
also
User Management
Device
Management
APIEndpoints
Analytics
Machine Learning
Remember Security
Storage
Apps
https://tech.lalitbhatt.net
6. IoT – Major Vendors
• Microsoft Azure IoT
• IBM Watson IoT
• Amazon AWS IoT
• GE Predix
• PTC ThingWorx
https://tech.lalitbhatt.net
7. AWS IoT
Thing
Lambda
S3
RDS
Amazon DynamoDB
Amazon SQS
Amazon SNS
Message
Broker
Rules
Engine
There are more
services that can be
hooked like AWS
ElasticSearch
Scalability for most use cases is not an issue.
Cost implications.
https://tech.lalitbhatt.net
9. AI dilemma
Learning vs Self Learning
Can machine self learn or is it still learning extrapolated? What will happen when
machine will really start self learning
https://tech.lalitbhatt.net
10. Roger Penrose: Shadows of Mind
• Penrose hypothesizes that:
• Human consciousness is non-algorithmic, and thus is not capable of being
modelled by a conventional Turing machine type of digital computer.
Source : https://en.wikipedia.org/wiki/Shadows_of_the_Mind
https://tech.lalitbhatt.net
11. AI – Artificial intelligence
• There are known knowns; there are things we know that we
know. There are known unknowns; that is to say, there are
things that we now know we don't know. But there are also
unknown unknowns -- there are things we do not know we
don't know.
• Donald Rumsfield
https://tech.lalitbhatt.net