10 predictions for the future of IoT

Ahmed Banafa
Ahmed BanafaNamed No. 1 Top Voice To Follow in Tech by LinkedIn | IoT Expert | Faculty | Author | Keynote Speaker em San Jose State University
10 Predictions for
the Future of IoT
Prof. Ahmed Banafa
College of Engineering
San Jose State University
San Jose, CA USA
• In the coming years, IoT will look completely different
than it does today. IoT is a greenfield market.
• New players, with new business models, approaches,
and solutions, can appear out of nowhere and overtake
incumbents.
2
• But business is the key market. While there is talk about
wearables and connected homes, the real value and
immediate market for IoT is with businesses and
enterprises.
• The adoption of IoT will be much more similar to the
traditional IT diffusion model (from businesses to
consumers) than the consumer-led adoption of social
media and personal mobility.
3
4
The top 10 trends of IoT
5
1) Platforms. The platform is the key to success. The
“things” will get increasingly inexpensive, applications will
multiply, and connectivity will cost pennies. Keeping in
mind that IoT platforms bundle many of the infrastructure
components of an IoT system into a single product.
6
• The services provided by such platforms fall into three
main categories:
o Low-level device control and operations such as communications, device
monitoring and management, security, and firmware updates.
o IoT data acquisition, transformation and management.
o IoT application development, including event-driven logic, application
programming, visualization, analytics and adapters to connect to enterprise
systems.
7
2) Standards and Ecosystems. Gartner noted that as IoT
devices proliferate, new ecosystems will emerge, and there
will be "commercial and technical battles between these
ecosystems" that "will dominate areas such as the smart
home, the smart city and healthcare.
8
• Organizations creating products may have to develop
variants to support multiple standards or ecosystems
and be prepared to update products during their life span
as the standards evolve and new standards and related
APIs emerge," according to Gartner.
9
• There will be a battle for IoT application mindshare. With
billions of devices projected to be spewing out petabytes
of data, application developers will have a field day
launching thousands, or even millions, of new and cool
apps. But, similar to the smartphone world, all of these
apps will be fighting for mindshare, and only a few will
rise to the top to be valued by businesses and
consumers.
10
11
3) Event Stream Processing. According to Gartner:
"Some IoT applications will generate extremely high data
rates that must be analyzed in real time. Systems creating
tens of thousands of events per second are common, and
millions of events per second can occur in some telecom
and telemetry situations.
12
• To address such requirements, distributed stream
computing platforms (DSCPs) have emerged. They
typically use parallel architectures to process very high-
rate data streams to perform tasks such as real-time
analytics and pattern identification."
13
4) Operating Systems. There's a wide range of systems
out there that have been designed for specific purposes.
14
5) Processors and Architecture. Designing devices with
an understanding of those devices' needs will require "deep
technical skills."
15
6) Low-Power, Wide-Area Networks. Current solutions
are proprietary, but standards will come to dominate.
According to Gartner: "Traditional cellular networks don't
deliver a good combination of technical features and
operational cost for those IoT applications that need wide-
area coverage combined with relatively low bandwidth,
good battery life, low hardware and operating cost, and
high connection density.
16
• The long-term goal of a wide-area IoT network is to
deliver data rates from hundreds of bits per second (bps)
to tens of kilobits per second (Kbps) with nationwide
coverage, a battery life of up to 10 years, an endpoint
hardware cost of around $5, and support for hundreds of
thousands of devices connected to a base station or its
equivalent.
17
• The first low-power wide-area networks (LPWANs) were
based on proprietary technologies, but in the long term
emerging standards such as Narrowband IoT (NB-IoT)
will likely dominate this space."
18
7) Low-Power, Short-Range IoT Networks. Short-range
networks connecting IT devices will be convoluted. There
will not be a single common infrastructure connecting
devices.
19
8) Device (Thing) Management. IoT things that are not
ephemeral — that will be around for a while — will require
management like every other device (firmware updates,
software updates, etc.), and that introduces problems of
scale.
20
9) Analytics. According to Gartner, IoT will require a new
approach to analytics. "New analytic tools and algorithms
are needed now, but as data volumes increase through
2021, the needs of the IoT may diverge further from
traditional analytics," according to Gartner.
21
• The currency of IoT will be “data.” But, this new currency
only has value if the masses of data can be translated
into insights and information which can be converted into
concrete actions that will transform businesses, change
people’s lives, and effect social change.
22
23
10) Security. According to Gartner, threats extend well
beyond denial of sleep attacks: Those are attacks using
malicious code, propagated through the Internet of Things,
aimed at draining the batteries of your devices by keeping
them awake. According to Gartner "The IoT introduces a
wide range of new security risks and challenges to the IoT
devices themselves, their platforms and operating systems,
their communications, and even the systems to which
they're connected.
24
• Security technologies will be required to protect IoT
devices and platforms from both information attacks and
physical tampering, to encrypt their communications, and
to address new challenges such as impersonating
'things' or denial-of-sleep attacks that drain batteries. IoT
security will be complicated by the fact that many 'things'
use simple processors and operating systems that may
not support sophisticated security approaches."
25
26
What is next?
• The market is endless. It’s exciting but you need to build
great software and hardware with a sophisticated
backend with multiple security levels and to bring order
and sophistication to data and understanding that
security is an art that involves cryptography. Most
companies don’t have the talent they need to develop
secure products.
27
References
• http://www.dbta.com/BigDataQuarterly/Articles/10-
Predictions-for-the-Future-of-IoT-109996.aspx
• https://campustechnology.com/articles/2016/02/25/securi
ty-tops-list-of-trends-that-will-impact-the-internet-of-
things.aspx
28
Thank you!
29
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10 predictions for the future of IoT

  • 1. 10 Predictions for the Future of IoT Prof. Ahmed Banafa College of Engineering San Jose State University San Jose, CA USA
  • 2. • In the coming years, IoT will look completely different than it does today. IoT is a greenfield market. • New players, with new business models, approaches, and solutions, can appear out of nowhere and overtake incumbents. 2
  • 3. • But business is the key market. While there is talk about wearables and connected homes, the real value and immediate market for IoT is with businesses and enterprises. • The adoption of IoT will be much more similar to the traditional IT diffusion model (from businesses to consumers) than the consumer-led adoption of social media and personal mobility. 3
  • 4. 4
  • 5. The top 10 trends of IoT 5
  • 6. 1) Platforms. The platform is the key to success. The “things” will get increasingly inexpensive, applications will multiply, and connectivity will cost pennies. Keeping in mind that IoT platforms bundle many of the infrastructure components of an IoT system into a single product. 6
  • 7. • The services provided by such platforms fall into three main categories: o Low-level device control and operations such as communications, device monitoring and management, security, and firmware updates. o IoT data acquisition, transformation and management. o IoT application development, including event-driven logic, application programming, visualization, analytics and adapters to connect to enterprise systems. 7
  • 8. 2) Standards and Ecosystems. Gartner noted that as IoT devices proliferate, new ecosystems will emerge, and there will be "commercial and technical battles between these ecosystems" that "will dominate areas such as the smart home, the smart city and healthcare. 8
  • 9. • Organizations creating products may have to develop variants to support multiple standards or ecosystems and be prepared to update products during their life span as the standards evolve and new standards and related APIs emerge," according to Gartner. 9
  • 10. • There will be a battle for IoT application mindshare. With billions of devices projected to be spewing out petabytes of data, application developers will have a field day launching thousands, or even millions, of new and cool apps. But, similar to the smartphone world, all of these apps will be fighting for mindshare, and only a few will rise to the top to be valued by businesses and consumers. 10
  • 11. 11
  • 12. 3) Event Stream Processing. According to Gartner: "Some IoT applications will generate extremely high data rates that must be analyzed in real time. Systems creating tens of thousands of events per second are common, and millions of events per second can occur in some telecom and telemetry situations. 12
  • 13. • To address such requirements, distributed stream computing platforms (DSCPs) have emerged. They typically use parallel architectures to process very high- rate data streams to perform tasks such as real-time analytics and pattern identification." 13
  • 14. 4) Operating Systems. There's a wide range of systems out there that have been designed for specific purposes. 14
  • 15. 5) Processors and Architecture. Designing devices with an understanding of those devices' needs will require "deep technical skills." 15
  • 16. 6) Low-Power, Wide-Area Networks. Current solutions are proprietary, but standards will come to dominate. According to Gartner: "Traditional cellular networks don't deliver a good combination of technical features and operational cost for those IoT applications that need wide- area coverage combined with relatively low bandwidth, good battery life, low hardware and operating cost, and high connection density. 16
  • 17. • The long-term goal of a wide-area IoT network is to deliver data rates from hundreds of bits per second (bps) to tens of kilobits per second (Kbps) with nationwide coverage, a battery life of up to 10 years, an endpoint hardware cost of around $5, and support for hundreds of thousands of devices connected to a base station or its equivalent. 17
  • 18. • The first low-power wide-area networks (LPWANs) were based on proprietary technologies, but in the long term emerging standards such as Narrowband IoT (NB-IoT) will likely dominate this space." 18
  • 19. 7) Low-Power, Short-Range IoT Networks. Short-range networks connecting IT devices will be convoluted. There will not be a single common infrastructure connecting devices. 19
  • 20. 8) Device (Thing) Management. IoT things that are not ephemeral — that will be around for a while — will require management like every other device (firmware updates, software updates, etc.), and that introduces problems of scale. 20
  • 21. 9) Analytics. According to Gartner, IoT will require a new approach to analytics. "New analytic tools and algorithms are needed now, but as data volumes increase through 2021, the needs of the IoT may diverge further from traditional analytics," according to Gartner. 21
  • 22. • The currency of IoT will be “data.” But, this new currency only has value if the masses of data can be translated into insights and information which can be converted into concrete actions that will transform businesses, change people’s lives, and effect social change. 22
  • 23. 23
  • 24. 10) Security. According to Gartner, threats extend well beyond denial of sleep attacks: Those are attacks using malicious code, propagated through the Internet of Things, aimed at draining the batteries of your devices by keeping them awake. According to Gartner "The IoT introduces a wide range of new security risks and challenges to the IoT devices themselves, their platforms and operating systems, their communications, and even the systems to which they're connected. 24
  • 25. • Security technologies will be required to protect IoT devices and platforms from both information attacks and physical tampering, to encrypt their communications, and to address new challenges such as impersonating 'things' or denial-of-sleep attacks that drain batteries. IoT security will be complicated by the fact that many 'things' use simple processors and operating systems that may not support sophisticated security approaches." 25
  • 26. 26
  • 27. What is next? • The market is endless. It’s exciting but you need to build great software and hardware with a sophisticated backend with multiple security levels and to bring order and sophistication to data and understanding that security is an art that involves cryptography. Most companies don’t have the talent they need to develop secure products. 27