7 dynamic ways
companies are
using Internet of
Things technology
The world is undergoing unprecedented change. The growing
affordability and effectiveness of sensor technologies—and the
savings and insights generated by connected systems—are crumbling
barriers around market share, industries, distance, and data. The
companies in the vanguard of this transformation are realizing
incredible financial growth and unprecedented ROI by extending the
visibility and accessibility of the Internet to their assets, products,
services, and internal processes.
2
The technologies driving this shift are a wave of smart, connected
objects that use sensors to collect data for business intelligence (BI),
called the Internet of Things (IoT).
3
4
“Organizations that mature in their journey
with digital transformation generate an
average of $100 million more in additional
operating income each year than those who
lag behind.”
—Keystone Strategy interviews, March 2016
Building self-driving cars and smart wearable devices may seem out
of reach if you’re still shaping your IT infrastructure. But the IoT is
based on technology you likely already use. If you connect existing
devices to the cloud and perform real-time analysis and BI, you’re
running an IoT solution.
5
For inspiration, here are seven creative ways organizations are
capturing new data and insights to streamline operations, enter new
markets, and improve customer and employee experiences.
6
7
Weka Health Care’s Smart Fridges help
save lives by monitoring and regulating
how vaccines are stored and distributed.
The Smart Fridges are small enough to
travel by van and can run on solar power
if the electricity goes out.
Fridges without borders1
8
BI powers proactive alerts
on inventory shortages or
changes in temperature
Weka estimates that a medical practice that dispenses about 400
vaccines per month could cut human-resource costs by more than
$1,000 a month with the Smart Fridge monitoring system.
Remote monitoring of
fridge sensors helps ensures
vaccines are stored at the
right temperature
Fridges without borders1
9
Technicians at thyssenkrupp Elevator are
using IoT-connected sensors and hands-free
Microsoft HoloLens headsets to perform
predictive maintenance. Using HoloLens,
they can speak with a control room for
guidance on replacing the right
components.
Visionary maintenance2
10
Advanced analytics
predict maintenance
requirements
Initial field trials by thyssenkrupp show that service maintenance
interventions can be done up to four times faster than before by
using HoloLens.
Remote monitoring
tracks elevator
performance and
problems
Visionary maintenance2
HoloLens enables technicians
to speak with a control room,
which guides them to replace
the right components
11
Technical experts can’t be everywhere at
once. So tooling and manufacturing
company Sandvik Coromant digitized its
experts’ knowledge and combined it with
machine learning, to provide personalized
service faster to more customers.
Digitizing adds extra hands3
12
The solution’s predictive maintenance capabilities cut idle time for
customers by 50 percent and save the company millions of dollars
with manufacturing efficiency while improving tech support.
Digitizing adds extra hands3
Machine learning
optimizes equipment
performance and
schedules predictive
maintenance
Remote monitoring
shares real-time
machine data to
improve uptime and
customer service
CRM integration
enables informed
support, process, and
business-decision
recommendations
13
Fathym’s IoT-enabled WeatherCloud
solution provides more accurate
forecasting and hyperlocal road condition
data to help cities keep drivers safer while
also protecting city budgets by supporting
more informed decisions.
One for the roads4
14
Communities are reducing delays and accidents caused by
inclement weather and saving tens of thousands of dollars
with more accurate weather forecasting and real-time fleet
rerouting capabilities.
One for the roads4
Advanced analytics provide
forecasts that help cities
make better decisions about
asset deployment
Remote monitoring
collects real-time,
hyperlocal weather and
road conditions
15
Mondelez International’s diji-touch vending
machine has an interactive 3D touch-screen
display that lets customers view products
and nutrition information, and receive alerts
about promotions and games.
Dispensing personalized retail experiences5
16
The solution uses customer interactions to tailor each machine’s
product mix, based on demographics and purchasing preferences.
A dashboard tracks inventory levels and displays machine error
notifications to technicians through a Windows 10 universal app.
Dispensing personalized retail experiences5
Advanced analytics track
inventory levels and
generate error notifications
Machine learning helps
create interactive,
personalized customer
interactions
17
The Satalyst Tracker app uses sensor
data from cyclists and their bikes to
provide coaches, athletes, and
spectators with data ranging from heart
rate and energy output to bike speed.
Closing the distance between audience and activity6
18
A mobile app enables
fans to follow the race
from anywhere and see
rider performance data
Anyone around the world can track the cyclists on a web map,
and fans on-site can see when they need to get to the next
vantage point to take photos. Cyclists, coaches, and
commentators get insights about rider performance and key
moments in the race.
Remote monitoring
captures each rider’s speed,
location, heart rate, and
energy output in watts
Closing the distance between audience and activity6
19
Seer Insights started as a study in using
drones in agriculture. Its first solution,
GrapeBrain, employs satellite images and
machine learning to calculate grape yields
more accurately via a web component
and a mobile app.
Grape expectations7
20
GrapeBrain will help vineyards increase the accuracy of their yield
estimates, which can be off by as much as 30 percent when based
on visual inspections and pencil-and-paper calculations.
Grape expectations7
A mobile app helps
growers speed their data
capture and analysis
Remote monitoring
improves yield and
harvest-time forecast
accuracy
Satellite imagery
pinpoints the amount and
density of fruit to help
manage crops and soil
For more inspiration on getting started
with IoT solutions, visit:
www.internetofyourthings.com
21

7 ways companies are using the Internet of Things technology

  • 1.
    7 dynamic ways companiesare using Internet of Things technology
  • 2.
    The world isundergoing unprecedented change. The growing affordability and effectiveness of sensor technologies—and the savings and insights generated by connected systems—are crumbling barriers around market share, industries, distance, and data. The companies in the vanguard of this transformation are realizing incredible financial growth and unprecedented ROI by extending the visibility and accessibility of the Internet to their assets, products, services, and internal processes. 2
  • 3.
    The technologies drivingthis shift are a wave of smart, connected objects that use sensors to collect data for business intelligence (BI), called the Internet of Things (IoT). 3
  • 4.
    4 “Organizations that maturein their journey with digital transformation generate an average of $100 million more in additional operating income each year than those who lag behind.” —Keystone Strategy interviews, March 2016
  • 5.
    Building self-driving carsand smart wearable devices may seem out of reach if you’re still shaping your IT infrastructure. But the IoT is based on technology you likely already use. If you connect existing devices to the cloud and perform real-time analysis and BI, you’re running an IoT solution. 5
  • 6.
    For inspiration, hereare seven creative ways organizations are capturing new data and insights to streamline operations, enter new markets, and improve customer and employee experiences. 6
  • 7.
    7 Weka Health Care’sSmart Fridges help save lives by monitoring and regulating how vaccines are stored and distributed. The Smart Fridges are small enough to travel by van and can run on solar power if the electricity goes out. Fridges without borders1
  • 8.
    8 BI powers proactivealerts on inventory shortages or changes in temperature Weka estimates that a medical practice that dispenses about 400 vaccines per month could cut human-resource costs by more than $1,000 a month with the Smart Fridge monitoring system. Remote monitoring of fridge sensors helps ensures vaccines are stored at the right temperature Fridges without borders1
  • 9.
    9 Technicians at thyssenkruppElevator are using IoT-connected sensors and hands-free Microsoft HoloLens headsets to perform predictive maintenance. Using HoloLens, they can speak with a control room for guidance on replacing the right components. Visionary maintenance2
  • 10.
    10 Advanced analytics predict maintenance requirements Initialfield trials by thyssenkrupp show that service maintenance interventions can be done up to four times faster than before by using HoloLens. Remote monitoring tracks elevator performance and problems Visionary maintenance2 HoloLens enables technicians to speak with a control room, which guides them to replace the right components
  • 11.
    11 Technical experts can’tbe everywhere at once. So tooling and manufacturing company Sandvik Coromant digitized its experts’ knowledge and combined it with machine learning, to provide personalized service faster to more customers. Digitizing adds extra hands3
  • 12.
    12 The solution’s predictivemaintenance capabilities cut idle time for customers by 50 percent and save the company millions of dollars with manufacturing efficiency while improving tech support. Digitizing adds extra hands3 Machine learning optimizes equipment performance and schedules predictive maintenance Remote monitoring shares real-time machine data to improve uptime and customer service CRM integration enables informed support, process, and business-decision recommendations
  • 13.
    13 Fathym’s IoT-enabled WeatherCloud solutionprovides more accurate forecasting and hyperlocal road condition data to help cities keep drivers safer while also protecting city budgets by supporting more informed decisions. One for the roads4
  • 14.
    14 Communities are reducingdelays and accidents caused by inclement weather and saving tens of thousands of dollars with more accurate weather forecasting and real-time fleet rerouting capabilities. One for the roads4 Advanced analytics provide forecasts that help cities make better decisions about asset deployment Remote monitoring collects real-time, hyperlocal weather and road conditions
  • 15.
    15 Mondelez International’s diji-touchvending machine has an interactive 3D touch-screen display that lets customers view products and nutrition information, and receive alerts about promotions and games. Dispensing personalized retail experiences5
  • 16.
    16 The solution usescustomer interactions to tailor each machine’s product mix, based on demographics and purchasing preferences. A dashboard tracks inventory levels and displays machine error notifications to technicians through a Windows 10 universal app. Dispensing personalized retail experiences5 Advanced analytics track inventory levels and generate error notifications Machine learning helps create interactive, personalized customer interactions
  • 17.
    17 The Satalyst Trackerapp uses sensor data from cyclists and their bikes to provide coaches, athletes, and spectators with data ranging from heart rate and energy output to bike speed. Closing the distance between audience and activity6
  • 18.
    18 A mobile appenables fans to follow the race from anywhere and see rider performance data Anyone around the world can track the cyclists on a web map, and fans on-site can see when they need to get to the next vantage point to take photos. Cyclists, coaches, and commentators get insights about rider performance and key moments in the race. Remote monitoring captures each rider’s speed, location, heart rate, and energy output in watts Closing the distance between audience and activity6
  • 19.
    19 Seer Insights startedas a study in using drones in agriculture. Its first solution, GrapeBrain, employs satellite images and machine learning to calculate grape yields more accurately via a web component and a mobile app. Grape expectations7
  • 20.
    20 GrapeBrain will helpvineyards increase the accuracy of their yield estimates, which can be off by as much as 30 percent when based on visual inspections and pencil-and-paper calculations. Grape expectations7 A mobile app helps growers speed their data capture and analysis Remote monitoring improves yield and harvest-time forecast accuracy Satellite imagery pinpoints the amount and density of fruit to help manage crops and soil
  • 21.
    For more inspirationon getting started with IoT solutions, visit: www.internetofyourthings.com 21