Optimize operations - reduce cost, improve service
level
Transform products - use data ez strategic asset
IoT is a network of Internet connected devices that
communicate sensor data to the cloud for centralized
processing.
Pillars of IoT
architecture
Things: Physical “things,” with embedded sensors (with
some computational power) sending telemetry data.
Insights: The results from processing and analyzing the
data.
Actions: The automated, or manual, response to the
insights.
Once data is collected analyze and gain meaningful, actionable
insights.
Insight are uncovered from telemetry data.
What is the notion
of edge computing?
Intelligent edge is the continually-expanding set of connected
systems and devices that gather and analyze information close to
the physical world where data resides.
Moving compute workloads to edge devices.
Benefits:
latency: react to local changes, avoid network latency
availability: operate in offline or intermittent mode,
increased reliability
cost: distribute workload, filter data - reduce
computation, transportation and storage costs
privacy: cleanse person related data
Business challenges:
Complexity
Cost
Security
Marketing side: what you can sell on the market
Engineering side: what you can actually do for you today
What we are witnessing today?
Hardware is getting more sophisticated at low price points…
Sense of security…
Engineering goal: Connect cloud solutions to the edge, enable
secure and reliable communication from hardware to cloud all the
way up
Technical challenges:
track and maintaing data coming from all devices
secure communication
scale
manage lifecycle
keyword: deploy, manage, and scale
70% of IoT projects don’t get past of the prototype phase
cutting corners on security
team not being on the same page: manufacturing partner in
China, separate teams developing embedded firmware,
not enough testing, no soft launch
Use cloud IoT services:
Provide security for deployments: only the right devices
can communicate with each other