See how apply the user-centric method of Design Thinking when designing IoT solutions. The presentation provides an introduction on on how you can shape the most viable idea, reduce the risks of failure. It covers 3 main questions:
Do customers need my IoT solution?
Can you build it?
Will it be profitable?
This report describes how things get connected via internet.It also describes how actually iot architecture looks like.The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.In short, the Internet of Things refers to the rapidly growing network of connected objects that are able to collect and exchange data using embedded sensors. Thermostats, cars, lights, refrigerators, and more appliances can all be connected to the IoT.
The Future Of Work & The Work Of The FutureArturo Pelayo
What Happens When Robots And Machines Learn On Their Own?
This slide deck is an introduction to exponential technologies for an audience of designers and developers of workforce training materials.
The Blended Learning And Technologies Forum (BLAT Forum) is a quarterly event in Auckland, New Zealand that welcomes practitioners, designers and developers of blended learning instructional deliverables across different industries of the New Zealand economy.
This slide is "How To Chat Gpt Works?". Here you will learn more things about chat Gpt. Here I discussed what is chat gpt, history of chat gpt, Algorithms & , chat gpt uses technology, advantage & disadvantage of chat gpt, limitations of chat gpt & most important point future works of chat gpt. And all reference link is here. Open & visit the link and learn more about chat Gpt. So , This slide will help for your learning .
N.B: If any information wrong then contact with us and please let me know, I will update the slide.
So Please download the slide and put here your review.
How do you get high school students involved in coding and technology? We host a #Hackathon!! Check out this presentation by Computer Science Program Chair Dr Chunbo Chu.
For this plenary talk at the Charlotte AI Institute for Smarter Learning, Dr. Cori Faklaris introduces her fellow college educators to the exciting world of generative AI tools. She gives a high-level overview of the generative AI landscape and how these tools use machine learning algorithms to generate creative content such as music, art, and text. She then shares some examples of generative AI tools and demonstrate how she has used some of these tools to enhance teaching and learning in the classroom and to boost her productivity in other areas of academic life.
This report describes how things get connected via internet.It also describes how actually iot architecture looks like.The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.In short, the Internet of Things refers to the rapidly growing network of connected objects that are able to collect and exchange data using embedded sensors. Thermostats, cars, lights, refrigerators, and more appliances can all be connected to the IoT.
The Future Of Work & The Work Of The FutureArturo Pelayo
What Happens When Robots And Machines Learn On Their Own?
This slide deck is an introduction to exponential technologies for an audience of designers and developers of workforce training materials.
The Blended Learning And Technologies Forum (BLAT Forum) is a quarterly event in Auckland, New Zealand that welcomes practitioners, designers and developers of blended learning instructional deliverables across different industries of the New Zealand economy.
This slide is "How To Chat Gpt Works?". Here you will learn more things about chat Gpt. Here I discussed what is chat gpt, history of chat gpt, Algorithms & , chat gpt uses technology, advantage & disadvantage of chat gpt, limitations of chat gpt & most important point future works of chat gpt. And all reference link is here. Open & visit the link and learn more about chat Gpt. So , This slide will help for your learning .
N.B: If any information wrong then contact with us and please let me know, I will update the slide.
So Please download the slide and put here your review.
How do you get high school students involved in coding and technology? We host a #Hackathon!! Check out this presentation by Computer Science Program Chair Dr Chunbo Chu.
For this plenary talk at the Charlotte AI Institute for Smarter Learning, Dr. Cori Faklaris introduces her fellow college educators to the exciting world of generative AI tools. She gives a high-level overview of the generative AI landscape and how these tools use machine learning algorithms to generate creative content such as music, art, and text. She then shares some examples of generative AI tools and demonstrate how she has used some of these tools to enhance teaching and learning in the classroom and to boost her productivity in other areas of academic life.
ChatGPT is a highly advanced language model developed by OpenAI. Its ability to understand and respond to natural language input can be a valuable tool for mobile application developers looking to streamline their workflow and improve their app development process.
Results from the annual IoT Developer Survey. Includes trends on IoT programming languages, cloud platforms, IoT operating systems, messaging protocols (MQTT, HTTP), IoT hardware architectures and more.
Fight for Yourself: How to Sell Your Ideas and Crush PresentationsDigital Surgeons
Don't let your blood, sweat, and pixels be overlooked, great creative doesn't sell itself.
Every presentation is a story, an opportunity to sell not just your work, but what people actually buy — YOU.
This presentation will walk viewers through three core aspects of winning at any presentation, Confidence, Comprehension, and Conviction.
These concepts, central to your work as a creative professional, are backed by science and bolstered by thoughts from some of the world’s leading creative professionals.
Do you ever wish there was a formula you could use to improve your audiovisual design for the people who use it? Well, there is!
In this talk I’ll introduce you to Human-centered Design, a framework for identifying and designing solutions for the people who use your products. You’ll learn how this approach can be leveraged to create solutions that resonate with your users, drive engagement and adoption, and ultimately deliver more meaningful experiences.
Human-centered Design is a design process that puts the user experience at the center of your design decisions. This framework includes tools to help you understand your users’ needs, generate ideas on how to solve them, test out prototypes of your solution with the people you’re designing for, and eventually get your innovative product out into the world.
In this presentation, we walk through some of the tips and tricks of using ChatGPT to better one's prompts interacting with ChatGPT. Hope you find it useful :-)
Explore how different industries are embracing the utility of AI to create and deliver new value for their customers and organisation
* Discuss the state of maturity of AI across industries
* Get an appreciation of business posture to AI projects
We also review the utility of AI across several industries including:
* Healthcare
* Newsroom & Journalism
* Travel
* Finance
* Supply Chain / eCommerce / Retail
* Streaming & Gaming
* Transportation
* Logistics
* Manufacturing
* Agriculture
* Defense & Cybersecurity
Part of the What Matters in AI series as published on www.andremuscat.com
IBM Watson IoT - New Possibilities in a Connected WorldCasey Lucas
Cognitive IoT enables us to learn from, and infuse intelligence into, the physical world to transform business and enhance the human experience.
Find out how you can transform with Watson IoT: http://ibm.com/IoT
ChatGPT is a highly advanced language model developed by OpenAI. Its ability to understand and respond to natural language input can be a valuable tool for mobile application developers looking to streamline their workflow and improve their app development process.
Results from the annual IoT Developer Survey. Includes trends on IoT programming languages, cloud platforms, IoT operating systems, messaging protocols (MQTT, HTTP), IoT hardware architectures and more.
Fight for Yourself: How to Sell Your Ideas and Crush PresentationsDigital Surgeons
Don't let your blood, sweat, and pixels be overlooked, great creative doesn't sell itself.
Every presentation is a story, an opportunity to sell not just your work, but what people actually buy — YOU.
This presentation will walk viewers through three core aspects of winning at any presentation, Confidence, Comprehension, and Conviction.
These concepts, central to your work as a creative professional, are backed by science and bolstered by thoughts from some of the world’s leading creative professionals.
Do you ever wish there was a formula you could use to improve your audiovisual design for the people who use it? Well, there is!
In this talk I’ll introduce you to Human-centered Design, a framework for identifying and designing solutions for the people who use your products. You’ll learn how this approach can be leveraged to create solutions that resonate with your users, drive engagement and adoption, and ultimately deliver more meaningful experiences.
Human-centered Design is a design process that puts the user experience at the center of your design decisions. This framework includes tools to help you understand your users’ needs, generate ideas on how to solve them, test out prototypes of your solution with the people you’re designing for, and eventually get your innovative product out into the world.
In this presentation, we walk through some of the tips and tricks of using ChatGPT to better one's prompts interacting with ChatGPT. Hope you find it useful :-)
Explore how different industries are embracing the utility of AI to create and deliver new value for their customers and organisation
* Discuss the state of maturity of AI across industries
* Get an appreciation of business posture to AI projects
We also review the utility of AI across several industries including:
* Healthcare
* Newsroom & Journalism
* Travel
* Finance
* Supply Chain / eCommerce / Retail
* Streaming & Gaming
* Transportation
* Logistics
* Manufacturing
* Agriculture
* Defense & Cybersecurity
Part of the What Matters in AI series as published on www.andremuscat.com
IBM Watson IoT - New Possibilities in a Connected WorldCasey Lucas
Cognitive IoT enables us to learn from, and infuse intelligence into, the physical world to transform business and enhance the human experience.
Find out how you can transform with Watson IoT: http://ibm.com/IoT
Internet of Things is at the top of the Gartner Hype Cyle and scores of entrepreneurs are out building IoT products and solutions. A key question that requires discussion and clarity is – Who will pay for IoT and why? This talk demystifies the novelty of IoT and explains the roles played by various actors in the IoT ecosystem.
The Internet of Us: Why Human Experience Is Vital to Building Useful IoT Appl...Cognizant
Successful industrial IoT solutions incorporate insights into human behavior before building things, thereby reducing adoption risk, improving productivity, compressing development cycles and more quickly realizing looked-for ROI.
The internet of things, your next crucial challenge - ProductizeThe Reference
Discover how the world is transforming into a global nervous system allowing agile companies to perform high resolution management and enter new markets with hybrid product-services following new business models. This session will give you a broad view on the Internet of Things, and guide you through the necessary steps to successfully capture the new values resulting from this revolution.
Who will pay for IoT and why? - Atanu Roy Chowdhury, Senior Product Manager a...Lounge47
“WHO WILL PAY FOR IoT AND WHY? " was a thought-provoking session. Here are the Lounge47 key takeaways: 1.IoT is a self-organizing system of Internet connected peripheral systems providing new and improved converged services 2.The value of the digitally charged thing in IoT comes from an extension of the local function with new digital services. Thing(s) + IT=Local function + measurements (historical, instantaneous) leading to new services and supercharged functions 3.The IoT hype is about the opportunity to monetize services from 50b connected devices by 2020 4.IoT devices can be classified by human desires - to know (omniscence), for human connection (telepathy), to protect & be protected (safekeeping), to be healthy & vital ( immortality), to move effortlessly (teleportation), to create, make and play (expression) 5.The IoT difference: Edgeware driving value, the “ecosystem of devices” paradigm and the possibilities for entrepreneurship 6.PC to Mobile industry to IoT is transitioning the traditional “top down” to a more collaborative approach 7.Value to the customer: a.high resolution real-time information b.M2M silos interconnected for greater visibility c.Interoperated and leveraged common infrastructure d.low cost solution solving specific consumer pain points e.improved traceability, resource utilization, health and safety 8.Value to developer: a.can handle multiple business models b.can handle multiple deployment models c.can create new products and services to diversify revenues d. Services in addition to devices can be created by developers 8. The actors in the IoT ecosystem – those that, discover new services, deliver supercharged services, create supercharged services, create Smart Things 9.Technical best practices: a.cost of data acquisition is not homogeneous b.diversity in sensors, devices and vendors is endemic c.business requirements can exceed technology reach d.device failures will happen, plan to handle them e. ensure that products are certified f.security is not an afterthought 10.Business best practices: a.device costs are a function of volumes, functionality and robustness b.there is a creepiness factor to IoT solutions c.new services require training d.market potential is hard to guesstimate e.Know your competition f.understand local regulations and tax regimes g.Process changes will be resisted h.Disgruntled customers seldom return 11. Different Business Models should be considered.
In summary, IoT offers significant opportunities, but the successful players will be those that emphasize and deliver value relative to existing services rather than just offer new functionality with undeterminable value.
How to Use AI in Product by Intel Product ManagerProduct School
This presentation covers what it's like to use AI in Product for a company and the different ways they can be implemented within an organization and we'll also touch on some of the misconceptions that come with using AI in Product.
Main takeaways:
- Multidisciplinary Product Manager
- Managing a product with invisible software, vague requirements in AI/IoT,
- Customer vs Industry
- Difference between technology and product; When to productize?
- AI as a feature vs AI as a product
- Product Management for the Internet of Things
Our integration expert, Siva Subrahmanyam Chavali, explains why a majority of IoT projects are biting the dust and how you can enable a foolproof IoT ecosystem for your business.
Industry 4.0 and Internet of Things (IoT)- The Emerging Marketing TrendsSuyati Technologies
Internet technology is often counted as the third industrial revolution that has ushered in epic changes to the world of business. And today, we are welcoming what is named as the fourth industrial revolution – the convergence of physical things with the world of the internet- named as the Internet of Things. INDUSTRIAL INTERNET OF THINGS (IIoT) is renowned as the PRIMARY way to improve operational efficiency in manufacturing domain. By 2030, $15 trillion of global GDP will come from Industrial IoT, and in another 15 years, IIoT will add $14.2 trillion to global economy. Industry 4.0 promises new business models that disrupt existing ecosystems.
View our infographic to understand the emerging marketing trends created by Industry 4.0 and IoT: http://suyati.com/industry-4-0-and-iot/
ThingsCon Amsterdam 2015 - Koen van Niekerk ThingsConAMS
Dutch case presentation by Koen van Nieuwkerk of VanBerlo on the learnings of doing Internet of Things product design.
ThingsCon Amsterdam 2015 was held at Volkshotel December 4, 2015.
The Factory of the Future isn’t some futuristic fantasy. It’s quickly becoming the new reality. And tech-savvy manufacturers are either on board or preparing for change.
You can’t afford to ignore the Internet of Things. But, do you know how your company will need to change to get beyond prototypes and proofs-of-concepts, to deliver smart, connected products to market? How do you get the expertise needed to handle the extra complexity? How do you budget for and manage IoT projects? There is no simple roadmap for building successful IoT products; so, how do you get up to speed on what your company will need to deliver? Room 5 CEO Patrick Mahaffey explains what IoT means for your company and how to handle the disruption that it brings.
Patrick covers what Room 5 has learned from working with clients like Intel, Amazon, Samsung, Sony, and BMW on what it takes to successfully implement smart, connected devices and what you will need to create an organization that can also deliver those devices.
This webinar talks about how to successfully implement IoT to make your enterprise more connected, analytically capable, highly secure, and strongly cognitive.
Mature connections: 6 stages to IoT successSingtel
The IoT solutions marketplace is crowded and confusing, but companies with mature IoT capabilities are generating new, recurring revenue streams through efficient connected product development and delivery. Keep up with these 6 steps for IoT success.
Are you considering launching an IoT project/trial but are afraid of getting bogged down in complexities? Or, worse… Have you started an IoT pilot and failed to gain any real business value from your investment of time and money? In this webinar, our IoT expert Siva Chavali, Sr. Architect-Kellton Tech and Nigel Harley, IoT CoE Specialist-Software AG discussed how you can optimize your existing manufacturing practices and create new revenue streams by integrating IoT successfully.
What You're Going to Learn
- How These 4 Leaks Force You To Work Longer And Harder in order to grow your income… improve just one of these and the impact could be life changing.
- How to SHUT DOWN the revolving door of Income Stagnation… you know, where new sales come into your magazine while at the same time existing sponsors exit.
- How to transform your magazine business by fixing the 4 “DON’Ts”...
#1 LEADS Don’t Book
#2 PROSPECTS Don’t Show
#3 PROSPECTS Don’t Buy
#4 CLIENTS Don’t Stay
- How to identify which leak to fix first so you get the biggest bang for your income.
- Get actionable strategies you can use right away to improve your bookings, sales and retention.
Best Crypto Marketing Ideas to Lead Your Project to SuccessIntelisync
In this comprehensive slideshow presentation, we delve into the intricacies of crypto marketing, offering invaluable insights and strategies to propel your project to success in the dynamic cryptocurrency landscape. From understanding market trends to building a robust brand identity, engaging with influencers, and analyzing performance metrics, we cover all aspects essential for effective marketing in the crypto space.
Also Intelisync, our cutting-edge service designed to streamline and optimize your marketing efforts, leveraging data-driven insights and innovative strategies to drive growth and visibility for your project.
With a data-driven approach, transparent communication, and a commitment to excellence, InteliSync is your trusted partner for driving meaningful impact in the fast-paced world of Web3. Contact us today to learn more and embark on a journey to crypto marketing mastery!
Ready to elevate your Web3 project to new heights? Contact InteliSync now and unleash the full potential of your crypto venture!
When listening about building new Ventures, Marketplaces ideas are something very frequent. On this session we will discuss reasons why you should stay away from it :P , by sharing real stories and misconceptions around them. If you still insist to go for it however, you will at least get an idea of the important and critical strategies to optimize for success like Product, Business Development & Marketing, Operations :)
Reflect Festival Limassol May 2024.
Michael Economou is an Entrepreneur, with Business & Technology foundations and a passion for Innovation. He is working with his team to launch a new venture – Exyde, an AI powered booking platform for Activities & Experiences, aspiring to revolutionize the way we travel and experience the world. Michael has extensive entrepreneurial experience as the co-founder of Ideas2life, AtYourService as well as Foody, an online delivery platform and one of the most prominent ventures in Cyprus’ digital landscape, acquired by Delivery Hero group in 2019. This journey & experience marks a vast expertise in building and scaling marketplaces, enhancing everyday life through technology and making meaningful impact on local communities, which is what Michael and his team are pursuing doing once more with Exyde www.goExyde.com
Salma Karina Hayat is Conscious Digital Transformation Leader at Kudos | Empowering SMEs via CRM & Digital Automation | Award-Winning Entrepreneur & Philanthropist | Education & Homelessness Advocate
2. Contents
ONE TWO THREE FOUR
FIVE SIX SEVEN
IoT Business
Opportunities
Introduction to
Design Thinking
Unleashing
Innovation in IoT
Designing to be
desirable
Designing to be
viable
ConclusionsDesigning to be
feasible
2
3. Introduction
Embed Design Thinking into the
development of IoT services.
Test your assumptions from 3 core
factors:
Is it really needed?
Is it feasible?
Is it profitable?
You don’t need to be an expert
in IoT to develop innovative
IoT Services
3
5. Market potential of IoT
> 5
devices
per person by
2020#
11.1
Trillion euros
Market size
by 2025 in the
EU*
* Source Statista. Accessed April 2019. # Source Hoganlovells. Accessed May 2019
5
7. IoT: Paradigm shift
Traditional mindset
Internet of Things
mindset
ValueCreation
Addressing customer
needs
Reactive Predictive
Product offering Stand-alone product Product updates regularly
Role of data Used to evolve product Used to create experiences
ValueCapture
Making profit Selling next product Recurring revenue
Advantages to provide
Includes commodity
advantages
Includes personalisation
and context
Improve capabilities
Leveraging core
competences
Creating ecosystems with
partners
7
8. Introduction to
Design Thinking
“
”
If you want users to like your
solution, you should design it to
behave like a likable person
(Alan Cooper. Interaction Design)
9. What is Design Thinking
Service design helps
organizations see their
services from a customer
perspective
“
”
A user-centred process
Helps to understand the better the user
Practical methods to challenge
assumptions and status ‘quo'
Allows to create, experiment and test
ideas in an iterative way.
* Stickdorn, Marc; Hormess, Markus Edgar; Lawrence, Adam; Schneider, Jakob.
10. Design Thinking process
The Hasso-Plattner Institute of Design at Stanford (a.k.a. ‘D.school’) uses 5-stage approach3:
Empathize Define Ideate Prototype Test
Propose new
solutions
Uncover additional
latent needs
Understand better
your customer
Spark new
ideas
10
11. Start with simple experiments (e.g. Napkin sketch) and test it; Then increase the fidelity
and spending of your testing as your uncertainty decreases.
- Prototyping fidelity +
-Costinprototyping+
+ Solution uncertainty -
Iteration 1
1.Define
2.Ideate
3.Prototype
4.Test
Iteration 2
1.Define
2.Ideate…
Iteration 3
1.Define
2.Ideate…
Iteration 4
1.Define
2.Ideate…
Learn &
Evolve
Fail fast. Learn fast. Improve fast.
11
Learn &
Evolve
Learn &
Evolve
12. Applying Design Thinking to IoT
IoT technology serves only to solve human-
problems, but it also needs to be profitable
and technically viable.
Using Design Thinking helps you increase
your chances of success.
‘Smart’ solutions & IoT technology
must have a human-centric approach
Smart
Housing
Smart
Cities
Smart
Infrastructure
Smart
Transportation
Smart
Healthcare
Human-centric
12
13. Example
Think about an smart thermostat, it’s ‘smart’ only to
optimise it, improve it and ease its use but its ultimate
purpose it’s that your house is warm when you arrive at
home without overspending.
15. Innovation principles
3 Success factors to consider
Desirability
Do customers needed it?
Feasibility
Can we build it?
Viability
Is it profitable?
Innovation
15
16. Innovation & the role of the
Business Model Canvas
Partners
Costs Revenue streams
Activities
Value
Proposition
Customer
Segments
Resources
Customer
relationship
Channels
12
3
2 1
3
Feasibility
Test several
combinations on how
to deliver you product
Desirability
Viability
For each Business model variant run a
financial models simulations
Consider different
customer segments
and how you will
interact with them
Use the Business Model Canvas model to visualize, test and iterate the 3 Innovation
principles.
16
17. Epicentres of innovation
There are 2 main epicentres of innovation A) Resource-drive, b) Offer-driven.
B A
Born from the
resources &
capabilities already
existing.
B Resource-driven Offer-drivenA
Born from
underserved needs
in order to bring value
to customer.
17
19. Desirability
Areas IoT can help:
Address needs in a predictive way
Increase customer engagement
Improve customer experience
Deliver seamless services
How to ensure customer’ desirability
19
Run
iteratively
Test your
proposition
Define
customer
Generate
ideas &
prototype
Uncover
latent
needs
20. Example when a product fails due to lack of
desirability
20
Initiative
The “Start” button was removed in Windows 8 to be
integrated with tablets.
Actual result
Customers found it tortoise when using it with PCs. It
was on of the biggest Microsoft’s failures.
Lesson learned
Microsoft shouldn’t have just assumed what people
wanted, but actually test with users before launching it.
21. Discover user needs for IoT
Focus on identifying what undeserved needs they have.
Tools and methods to uncover latent needs:
Personas. A fictional character that represents a type of user.
Customer Journey. A end-to-end experiences.
System map. A visual or physical representation of the components of the system.
5 Why’s: A chain of questions to uncover users problems’ root cause.
21
22. Example: Needs vs. latent needs of an
‘smart’ thermostat
It is easy to use
It is reliable
Prevents pipes
from freezing
Colour does not fade
over time
Latentneeds
23. Prototyping for IoT
Use prototyping to make quick and
rough concepts to explore your
ideas
Start with low fidelity prototypes,
test, iterate and refine
Napkin sketch
Paper prototyping
Technical mock-up model
Minimum Viable Product
Production-like pilots
Cost/Effort/Fidelity
Prototyping tools
Whocandoit?
Anyone
Specialists
23
24. Prototyping Examples
Napkin Sketch
Draw a rough representation on a piece of paper
on how the main components of your IoT fit
together.
Difficulty: Easy Fidelity: Low
Technical mock-up model
A physical representation on how the service would
work. You may replace IoT components by manual
actions.
Difficulty: Medium Fidelity: Medium
Napkin Sketch example of an ‘Smart’ drill in
which users are charged only when using
the drill and not for the drill itself
Example
24
26. Feasibility
How to ensure feasibility
IoT has 5 specific technical challenges
that need to be addressed correctly.
Key success factors:
Choose the right IoT platform
Define the technical resources needed
Identify your main challenges
26
Customer
expectations
27. When a product fails because it was not
feasible
Initiative
Virtual Boy was the first console game to
enter into the Virtual Reality World.
Actual Result
The console did not meet expectations due
mainly to its low resolution, games did not
look good
Lessons Learned
While the idea was received well, Nintendo
simply did not have the technology required
to build it and satisfy their Customer
expectations.
27
28. Under deliver or bad user experience can
kill a product
Customer opinions can increase or
decrease the popularity
IoT products are not meant to work on silos
Reliability and easy connection are
customer’s key points.
64%
Percentage of customers that
are likely to switch from a
brand that doesn’t anticipate
their needs*
28
Meeting customer expectations
29. Regulations can slow or boost IoT
deployment.
Many regulations affecting today's IoT
don't fit for machine-to-machine
communications
GDPR and ePrivacy Regulation affects
IoT as it data cannot be uncoupled.
29
Complying with Governmental regulations
<20 <20
31
31 vs. <20
31 separate categories of regulatory
requirements applicable to IoT in the
EU, whereas China and the United
States have fewer than 20 #
30. One of the most important technical challenges
to address.
Security breach may jeopardise the success of
a product.
Consider testing against:
security testing
brute-forcing passwords
malware and ransomware
data breaches
600%
Increase of IoT
attacks in 2018*
30
Addressing security and data privacy
concerns
Increase
31. IoT requires the development of skills
such as data science, AI, Security, UX,
engineering and programming.
« IoT manufactures don’t have the talent
they need with skills in security, cloud,
industrial communications and data
analytics technology » (Vasko 2016). of businesses are struggling
to hire talent for IoT
31
Handling skills & talent limitations
73%
32. Reliable & connectivity suitable to the
context(s)
Each connection type has its own strengths
and weaknesses
Choose carefully the right connection type
Example:
A device that requires WiFi or that consumes
a lot of power may not work properly if the
device is intended to be used in the outdoors.
32
48%
Of EU’s rural household still
don’t have access to broadband
Ensuring connectivity & interoperability
34. Successful products are also profitable
34
Viability
Revenue model
Choose the right revenue model
suitable for you and your customers
Financial analysis
Elaborate your financial analysis
based on the 2 previous
assumptions
Business Model
models. Choose carefully the 9
Keys to profitability
Explore the different business
different aspects
35. Initiative
Nespresso started a business-to-
business model in partner with machine
manufactures while keeping a sales force
Actual result
Their initial business model did fail and
lead the company near to bankruptcy
Lessons Learned
An excellent product can also fail
because of a bad business model
35
When a product fails because it was not
Viable
36. Revenue models for IoT
• Customers use
your IoT service
in exchange of a
regular fee.
Subscription
Model
• Customers use
your IoT service
for free (or at low
cost) and pay for
upgrades.
Bait & hook
• Customer pays
for the actual
desired outcome.
Outcome-
Based Model
36
37. Revenue models for IoT
• A set of
customers share
the same asset
and pay
proportionally
Asset-
sharing
• Analyse
customer data
and have
tailored-made
offers
Data-driven
• Customers pay
only for
maintenance
services
Service
Offering
37
38. 38
HP Instant Ink uses IoT to offer replacement
services plans.
Plans include automatic ink replacements,
shipping, and cartridge recycling.
Monthly plans are based on pages printed,
not cartridges used.
HP Instant Ink: Subscription example
39. 39
PolySync, a company that offers an IoT
platform to test autonomous vehicle systems, .
Possibility to start a free, 30-day trial, where
you can use all their functionalities
When the trial is over, you may choose a
subscription based model
PolySync: Bait & hook example
40. 40
Porsche launch Smart Driver as a
pilot program
Collects data to measure speed,
acceleration, cornering, and braking while
driving
Driving behaviour is evaluated
Drivers get monthly cash-backs, based on
their road safety performance.
Porsche: Outcome-based example
41. 41
Reused their IT infrastructure services,
reliability, scalability, cost-effective data centres.
Decided to provide infrastructure services to
third-party customers.
Amazon: Asset-sharing example
42. 42
A jewellery store chain, uses Bluetooth
sensors in their stores to
Track traffic numbers in their stores
Customers movements within the store
In order to
Better organize and display its products.
Push specialized / customized offers
Alex & Ani: Data driven example
43. 43
Predictive analytics platform to monitor
the truck's usage
the current status
Allows to
Plan maintenance better
Predict component failure
In order to lowers the diagnosis and repair
time
Volvo trucks: Service Offering example
45. Conclusion
DOs DON’Ts
Design IoT products having a user-
centric approach
Design IoT products focus on device-to-
device communication
Create innovation considering:
Desirability, Feasibility and Viability
Create innovation focused only
technology breakthrough
Consider the different epicentres of
innovation
The spark of innovation must start
always from a user need
Find user latent needs or needs which
users have difficulties to express
Focus on obvious needs or not focusing
on the underlying needs
45
46. Conclusion
DOs DON’Ts
Test your ideas cheap and fast and
evolve as you get feedback
Think you need an IoT working prototype
(e.g. MVP) to test it with your users
Consider the technical limitations that
could engender your solution
Underestimate technical limitations such
as data privacy or user-context
Explore and test different revenue
models
Based your revenue model only on a
‘one-off’ payment
Search for different revenue models
examples for inspiration
Think you don’t need inspiration from
others
46
48. Let’s get in touch
@otnielgm
Phone
+(32) 489 50 29 80
E-mail
eli.garcia@sinnova.be
Website
www.sinnova.be/eliogarciam
/eliotnielgarcia
Eli Garcia
Digital Innovation
48
49. Resources & references
References:
1 https://www.politico.eu/sponsored-content/why-a-european-policy-framework-for-the-internet-of-things-matters/amp/. Accessed April 2019
2 https://www.slideshare.net/CiscoBusinessInsights/journey-to-iot-value-76163389. Accessed April 2019
3 https://www.interaction-design.org/literature/article/5-stages-in-the-design-thinking-process. Accessed April 2019
4 https://www.politico.eu/sponsored-content/why-a-european-policy-framework-for-the-internet-of-things-matters/amp/. Accessed April 2019
Courses:
Internet of Things. Business Implications and Opportunities. Massachusetts Institute of Technology. Sloan School of Management
Innovation of products and services: MIT’s approach to design thinking. Emeritus Institute of Management.
Book references
This Is Service Design Doing: Applying Service Design Thinking in the Real World. Stickdorn, Marc; Hormess, Markus Edgar; Lawrence, Adam; Schneider,
Jakob. O'Reilly Media.
Value Proposition Design: How to Create Products and Services Customers Want. Osterwalder, Alexander; Pigneur, Yves; Bernarda, Gregory; Smith, Alan.
Wiley.
Business Model Generation: A Handbook for Visionaries, Game Changers, and Challengers. Osterwalder, Alexander; Pigneur, Yves. Wiley.
The Lean Product Playbook: How to Innovate with Minimum Viable Products and Rapid Customer Feedback. Olsen, Dan. Wiley.
49
Designing successful IoT services is focusing on people first and use technology as a tool to meet a human need. Embed design thinking into the development of IoT services to shape the most viable idea and reduce risks of failure.
Learn how to test your assumptions from 3 core factors:
Is it really needed? Uncover unmet needs, design products that solve really a problem, get quick feedback and evolve.
Is it feasible? Assess the technical capabilities needed and evaluate you can develop it.
Is it profitable? Determine your business model and the right revenue model.
Discover non-technical methods to generate new ideas, evolve your concepts, and save time and money by getting to the right solution faster.
IoT solutions have become ubiquitous in our life, even sometimes without noticing it, from fridges that order milk when you are running out, to smart lifts that know what floor you want to go before you actually press the button, from cars that communicate with red lights to synchronise speed red-lights timings to systems that detects water leakages and automatically stops supply.
A market of up to 11.1 trillion Euros by 2025
According to the European Commission1, the market value of IoT in the EU will exceed €1 trillion in 2020. While the McKinsey Global Institute believes connecting physical and digital worlds will have a potential total economic impact of as much as $11.1 trillion a year by 2025.
More than 5 devices per person
An estimate of 30 to 60 billions devices will be connected by 2020 this is, in other words, an average of more than 5 devices per person worldwide.
Creating and capturing value of IoT solutions requires a swift in mindset compare to the traditional product/service mindset, as it provides new challenges and opportunities that differ from other type of Products or services.
From the MIT Internet of Things: Business Implications and Opportunities we find the comparison between minds sets
A user-centred process
Design thinking is user-centred iterative process that aims to understand the user for whom we're designing the products or services, the objectives, the activities to accomplish and the pains.
It provides a practical methods to solve problems, challenge assumptions and status ‘quo' in an attempt to find solutions that welcomed by the users. Design thinking is extremely useful to re-frame the problem in user-centric ways. It helps to create, experiment and test ideas in an iterative way and thus reducing the risk of failure.
There are numerous approaches and phases for Design Thinking in use today, varying from three to seven phases. Despite these different approaches, all are very similar and they all follow the same principles. What is common in all approaches is that all are user-centric, their phases are not always sequential, in fact they can run in parallel and they are repeated iteratively.
For example, the Hasso-Plattner Institute of Design at Stanford (a.k.a. ‘D.school’) uses 5-stage approach3: Empathize, Define, Ideate, Prototype, Test, depicted below3.
Empathize. Empathise with the user: activities & needs
Define. Find user insights: Latent needs.
Ideate. Generate innovative ideas.
Prototype. Create potential solutions.
Test. Test solutions: Desirability, Feasibility & Viability
Test your ideas iteratively in a cheap and fast way to learn, understand better your users and redefine your ideas. Start with simple experiments (e.g. Napkin sketch) and test in in the ‘wild’, Then increase the fidelity and spending of your testing as your uncertainty decreases.
The iterative tests should test all aspects of your ideas (e.g. the value proposition, customer segments, costs, revenue streams, communication channels, etc).
Despite that IoT is manly about connecting devices to each other and making them smarter by allowing their performance to be monitored and managed remotely, these solutions ultimately serve a human-being achieve a task. Think about smart thermostat, you make it ‘smart’ only to optimise it, improve it and ease its use but its
ultimate purpose it’s that your house is warm when you arrive at home without overspending.
IoT needs to be designed with a human-centric approach, technology serves only to solve human-problems. Theses solutions need to be carefully designed to address real needs.
Designing human-centric solutions is easier said than done, besides addressing a real need, it needs to be profitable and technically viable.
This is why, using Design Thinking to develop IoT solutions will help you increase your chances of success by following a methodological approach to understand the users, its needs and de-risk solutions.
‘Smart’ solutions & IoT technology must have a human-centric approach
Despite that IoT is manly about connecting devices to each other and making them smarter by allowing their performance to be monitored and managed remotely, these solutions ultimately serve a human-being achieve a task. Think about smart thermostat, you make it ‘smart’ only to optimise it, improve it and ease its use but its
ultimate purpose it’s that your house is warm when you arrive at home without overspending.
IoT needs to be designed with a human-centric approach, technology serves only to solve human-problems. Theses solutions need to be carefully designed to address real needs.
Designing human-centric solutions is easier said than done, besides addressing a real need, it needs to be profitable and technically viable.
This is why, using Design Thinking to develop IoT solutions will help you increase your chances of success by following a methodological approach to understand the users, its needs and de-risk solutions.
‘Smart’ solutions & IoT technology must have a human-centric approach
Innovation is not limited to technical breakthrough, or even solving customers’ problem effectively, it also needs to be possible to build it in a way that you can make a profit.
There are countless of examples where new products have failed because it lacked at least one these 3 factors.
3 Success factors
Successful innovation requires to address correctly 3 core questions:
Do customers really need it?
Can we actually build it?
Will it be profitable?
The Business Model Canvas is an Strategic Management and entrepreneurial tool, which was initially proposed by Alexander Osterwalder in 2008. It allows to describe, design, challenge, invent, and pivot your business model. This model contains 9 Building Blocks: Value Proposition, Customer Segments, Customer relationship, Channels, Activities, Resources, Partners, Costs and Revenue streams. Use this model to visualize, test and iterate the 3 Innovation principles.
Desirability
The Customer relationship, Channels and Customer Segments will help you test the desirability of your product:
1) Who can be our customers,
2) How can we maintain the relationship with our customers?
3) what communication channels can we use to deliver value
Feasibility
The Activities, Resources and Partners will help you test the feasibility of your products:
What are the core activities we can do for our value proposition,
What resources do we need?
Who can be our partners?
Viability
Your Costs and Revenue Streams will help you test the viability of your product. For each Business model variant run a financial models to find out if your idea is viable
The process to create and capture innovation is not linear process nor has a specific starting point. There are 2 main epicentres of innovation A) Resource-drive, b) Offer-driven.
Offer-driven
In this scenario you identify your customer first, you find out their underserved needs in order to bring value to customer.
The needs of your customers and your value proposition will influence what activities and capabilities you need to acquire and or develop.
Resource-driven
Innovation is born from the resources, capabilities and/or partnerships already existing to provide new product offerings.
In this case, you first identify your capabilities and then you find out what underserve needs you can cover.
Do customers really need it?
IoT can provide unique ways to solve problems, create and deliver value to customers, particularly IoT can:
Help to understand better customers and address needs in a predictive way
Increase customer engagement with your product or service
Exploit customer data to improve customer experience
Merge digital & physical experiences to deliver seamless services
However, very often than not, you think you have a solution for a problem, so you start building your product assuming other people have the same problem and you are sure people need the solution your building. As already mentioned, successful products start by 1) emphasising with the customer, 2) discovering needs, 3) ideating solutions, 4) prototyping and 5) testing your ideas with cheap experiments to learn more and evolve.
Run this process iteratively to define better your customers, uncover well their needs, generate several ideas to solve the problem and test your proposition to your actual customers. In the next pages you will see how to discover user needs and prototype for IoT solutions.
Key takeaways
Define your customer well
Uncover their latent needs
Generate many ideas
Test your proposition with your customers
In 2012, Microsoft removed its iconic “Start” button in Windows 8, assuming customers would welcome how well it integrated with touch screens such as its surface tablets. However, customers found it tortoise when using it with laptops and desktops, which it account for virtually all its market share.
Eventually, it became one of Microsoft’s biggest failures. Microsoft shouldn’t have just assumed people wanted a ‘surface-friendly’ Operating System, but actually test it with users before launching Windows to the mases.
“If I had asked people what they wanted, they would have said faster horses” (Unproven Henry Ford’s quote )
Innovative products are those who address needs the users doesn’t really know they have. After you have defined your target customer/user, focus on identifying what undeserved needs they have. Finding underserved needs is particularly difficult as users usually express their needs in a fuzzy way, and very often than not, their needs tend to go unspoken.
There are many tools and methods to uncover user’s latent needs, such as:
Personas. A fictional character that represents a type of user, its motivations and its pains.
Customer Journey. A end-to-end experiences that users go through when interacting with the product.
System map. A visual or physical representation of the components of the system in which a service, is embedded.
5 Why’s: A chain of questions to uncover user motivations that are at its root cause.
Use prototyping to make quick and rough concepts to explore your ideas, find different approaches and get early feedback from users. Start with low fidelity prototypes, test, iterate and refine, as you advance, increase the fidelity of your prototypes. There are many prototyping tools you use applicable to IoT, from very quick & simple to very complex.
Napkin Sketch.
A cheap and fast way to make your idea tangible. Take a paper, draw a rough representation how the main components of your IoT fit together. This will help you as basis to tell a story.
Technical mock-up model.
A physical representation on how the service would work. You may replace IoT components (e.g. sensors) by manual actions. For instance, a movement sensor can be replaced by a human, so to simulate how the IoT should work.
This is the second question to answer. Some technical solutions require technology that is out of our reach or it’s technically challenging to use for our customers in the context they will use it. Make sure the solution is technically feasible for the resources you have and that it also works as expected for your customers in the context and environment they will use it.
Since there are usually different technical, explore the different options and choose the most feasible for you and your customers.
Meeting customer expectations.
Ensure it works as promised
Deliver exceptional customer experience (UX)
Consider user’s ecosystem
Addressing security and data privacy concerns
Secure passwords
Protect against malware, ransomware & botnets
Reduce risks of data breaches
Complying with Governmental regulation
Analyse the regulations that affect the solution
Keep an eye on the evolution of regulations
Handling skills & talent limitations
Acquire the right talent & skills
Develop skills such as: security, cloud, communications & data analytics
Ensuring connectivity & interoperability
Choose the right network connection type for its intended use
Enable a seamless integration to the user’ context
IoT has 5 specific technical challenges that need to be addressed correctly:
Meet customer expectations
Address security and data privacy concerns
Comply with Governmental regulations
Handle skills & talent limitations
Ensure connectivity & interoperability
Key takeaways
Choose the right IoT platform
Define the technical resources
Identify main challenges
In 1995, Nintendo launched its Virtual Boy, being the first console game to enter into the Virtual Reality World. Despite the big expectations the console generated, the reality was that Virtual Boy was not up to what it promised.
The low resolution was one of its greatest flaws, as games did not look good and it deceived customers. While the idea was received well, Nintendo simply did not have the technology required to build it and satisfy their Customer expectations. Virtual Boy eventually became the biggest flop in Nintendo’s history, since it’s creation in 1800.
Meeting customer expectations
Customers have higher expectations than ever, a product that under delivers what it promised, it doesn’t work as expected or delivers a bad user experience can kill even the most innovative solution.
IoT products are not meant to work on silos, when a customers buys a device, the customer expects a reliable and easy connection to his own ecosystem and that it works in harmony. Dissatisfied users can complaint very easily on high-traffic cannels and increase or decrease the popularity of the device.
Statistic: 64% Percentage of customers that are likely to switch from a brand that doesn’t anticipate their needs*
Complying with Governmental regulations
With the rise of the IoT and related technologies new regulatory frameworks are deployed. These regulations can slow or boost IoT deployment.
A study shows that many regulations affecting today's IoT don't fit for machine-to-machine communications specially in the European Union4, for which the regulations are higher and far more complex than those in the United States and China.
GDPR and ePrivacy Regulation has far-reaching consequences in IoT as it data cannot be uncoupled.
Statistic: 31 separate categories of regulatory requirements applicable to IoT in the EU, whereas China and the United States have fewer than 20 #
* Source Salesforce. Accessed May 2019
Meeting customer expectations
Customers have higher expectations than ever, a product that under delivers what it promised, it doesn’t work as expected or delivers a bad user experience can kill even the most innovative solution.
IoT products are not meant to work on silos, when a customers buys a device, the customer expects a reliable and easy connection to his own ecosystem and that it works in harmony. Dissatisfied users can complaint very easily on high-traffic cannels and increase or decrease the popularity of the device.
Statistic: 64% Percentage of customers that are likely to switch from a brand that doesn’t anticipate their needs*
Complying with Governmental regulations
With the rise of the IoT and related technologies new regulatory frameworks are deployed. These regulations can slow or boost IoT deployment.
A study shows that many regulations affecting today's IoT don't fit for machine-to-machine communications specially in the European Union4, for which the regulations are higher and far more complex than those in the United States and China.
GDPR and ePrivacy Regulation has far-reaching consequences in IoT as it data cannot be uncoupled.
Statistic: 31 separate categories of regulatory requirements applicable to IoT in the EU, whereas China and the United States have fewer than 20 #
# Source Hoganlovells. Accessed May 2019
Addressing security and data privacy concerns
As devices are permanently connected over the internet and to each another, avoiding and containing data breaches and security attacks are one of the most important technical challenges to address.
A severe security breach may jeopardise the success of a product. When designing IoT, consider risks such as insufficient (security) testing, brute-forcing passwords, malware and ransomware, botnets, data breaches, small security attacks and others.
Statistic: 600% Increase of IoT attacks in 2018*
* Source Symantec. Accessed May 2019
Handling skills & talent limitations
IoT devices gather a large volume of data and in order to gain meaningful and actionable insights from the data it is crucial for a successful IoT implementation to have the right talent with the right skills. IoT requires the development of skills such as data science, engineering, programming.
As explained by Dave Vasko one of the board Members of Internet of Things Talent Consortium (IoTTC) « IoT manufactures don’t have the talent they need with skills in security, cloud, industrial communications and data analytics technology » (Vasko 2016).
Statistic: 68% of businesses are struggling to hire talent for IoT#
Addressing security and data privacy concerns
As devices are permanently connected over the internet and to each another, avoiding and containing data breaches and security attacks are one of the most important technical challenges to address.
A severe security breach may jeopardise the success of a product. When designing IoT, consider risks such as insufficient (security) testing, brute-forcing passwords, malware and ransomware, botnets, data breaches, small security attacks and others.
Statistic: 600% Increase of IoT attacks in 2018*
Handling skills & talent limitations
IoT devices gather a large volume of data and in order to gain meaningful and actionable insights from the data it is crucial for a successful IoT implementation to have the right talent with the right skills. IoT requires the development of skills such as data science, AI, Security, UX, engineering, programming.
As explained by Dave Vasko one of the board Members of Internet of Things Talent Consortium (IoTTC) « IoT manufactures don’t have the talent they need with skills in security, cloud, industrial communications and data analytics technology » (Vasko 2016).
Statistic: 68% of businesses are struggling to hire talent for IoT#
As of 2017, source Canonical. Accessed May 2019
Ensuring a connectivity & interoperability
IoT devices need to have a reliable & proper connectivity suitable to the context(s) where the device is intended to be used.
There are several connection types and each one has its own strengths and weaknesses, choosing carefully the right connection type can have an impact on the success or not of the solution.
A device that requires WiFi or that consumes a lot of power may not work properly if the device is intended to be used in the outdoors.
Statistic: 48% of EU’s rural household still don’t have access to broadband1
Will it be profitable?
Even when customers do want your product and you can build it, you need to make sure your solution will be profitable in the way you want to build it and for the customers you want to sell it.
As well as the other two success factors, there are usually different business models you can explore for the same product.
You need to choose the right revenue model that is suitable for you and your customers (e.g. Subscription, bait & hook, etc), explore the different business models by choosing carefully your core activities, resources, partners, customer relationship and channels.
You should also be able to define your costs and revenues in order to elaborate your financial analysis (e.g. via a Net present value). In the same way that the other two key success factors, this is not a one-off activity but an iteration to find the right model.
Key takeaways
Choose the right revenue model
Explore the different business models
Elaborate a financial analysis
Nespresso started a business-to-business model in a joint venture with a machine manufacturer that also maintained a sales force.
While Nespresso has not failed, their initial financial model did fail and lead the company near to bankruptcy. It was until around 2000, when Nespresso changed its business model which has now proved to be one of the best divisions at Nestlé.
Subscription Model
Instead of selling a product or a service as a one-off, offer your IoT services in exchange of a regular fee. Common examples include SaaS or PasS (Product as a Service) models. The advantages to use this model is that it allows you to have a constant flow of revenue and it also allows you to build a more intimate understanding of your customers.
Bait & hook
The bait and hook pattern (also known as “razor and blade”) works in the way that your basic IoT product is sold at a very cheap price in order to make profit by selling complementary products for a high price. For instance, you can offer monitoring sensors for free or very cheap so you can later offer other services later.
Outcome-Based Model
One of the advantages of connected devices is the possibility to collect information about its usage. You can use tis data to monitor how customer use it and let your customers pay for the desired outcome and not for the device itself. For instance, imagine a smart pump in which customers pay for the quantity of water pumped and not for the pump itself.
Asset-sharing Model
Sharing economy means “What is mine is yours, for a fee” (The Economist) and is becoming more and more popular across all kinds of assets, including connected devices. The main features of a sharing business model are that users rent the service rather than buy it and brings together owners and seekers. Think of an smart high-capacity battery where other customers can also benefit it and pay only for what they use.
Data-driven
The objective of the Data-driven model is to generate revenue from available or, specially for connected devices, real-time streamed data. The data can be combined with other sources, like geodata, weather and usage behaviour, etc. You can sell raw data, processed data or Insights. When collecting, processing and selling user data, it is important to respect data privacy and existing regulations. For instance, the data collected by the connected device can be analysed and used to provide tailored-made offers based on user’s consumption.
Service Offering
This model is not about providing a product “as a service” but to use your IoT product as a means to provide another service; In other words, you use IoT as an enabler and differentiation to gain customers to sell your real services. For Instance, You can use your IoT product to monitor machinery so it can predict maintenance, and then are able to sell a maintenance services. Have IoT devices in a smart house to measure energy consumption. So you can provide energy optimization services.
Subscription Model
Instead of selling a product or a service as a one-off, offer your IoT services in exchange of a regular fee. Common examples include SaaS or PasS (Product as a Service) models. The advantages to use this model is that it allows you to have a constant flow of revenue and it also allows you to build a more intimate understanding of your customers.
Bait & hook
The bait and hook pattern (also known as “razor and blade”) works in the way that your basic IoT product is sold at a very cheap price in order to make profit by selling complementary products for a high price. For instance, you can offer monitoring sensors for free or very cheap so you can later offer other services later.
Outcome-Based Model
One of the advantages of connected devices is the possibility to collect information about its usage. You can use tis data to monitor how customer use it and let your customers pay for the desired outcome and not for the device itself. For instance, imagine a smart pump in which customers pay for the quantity of water pumped and not for the pump itself.
Asset-sharing Model
Sharing economy means “What is mine is yours, for a fee” (The Economist) and is becoming more and more popular across all kinds of assets, including connected devices. The main features of a sharing business model are that users rent the service rather than buy it and brings together owners and seekers. Think of an smart high-capacity battery where other customers can also benefit it and pay only for what they use.
Data-driven
The objective of the Data-driven model is to generate revenue from available or, specially for connected devices, real-time streamed data. The data can be combined with other sources, like geodata, weather and usage behaviour, etc. You can sell raw data, processed data or Insights. When collecting, processing and selling user data, it is important to respect data privacy and existing regulations. For instance, the data collected by the connected device can be analysed and used to provide tailored-made offers based on user’s consumption.
Service Offering
This model is not about providing a product “as a service” but to use your IoT product as a means to provide another service; In other words, you use IoT as an enabler and differentiation to gain customers to sell your real services. For Instance, You can use your IoT product to monitor machinery so it can predict maintenance, and then are able to sell a maintenance services. Have IoT devices in a smart house to measure energy consumption. So you can provide energy optimization services.
Subscription model example
HP Instant Ink uses IoT to offer replacement services plans. Their plans include automatic ink replacements, shipping, and cartridge recycling. Monthly plans are based on pages printed, not cartridges used. HP also offers to change or cancel your plan online anytime.
Bait & hook example
PolySync, a company that offers an IoT platform to test autonomous vehicle systems, monetizes via a subscription model. Their model consist on the possibility to start a free, 30-day trial, where you can use all their functionalities, when the trial is over, you may choose a subscription based model.
Subscription model example
HP Instant Ink uses IoT to offer replacement services plans. Their plans include automatic ink replacements, shipping, and cartridge recycling. Monthly plans are based on pages printed, not cartridges used. HP also offers to change or cancel your plan online anytime.
Bait & hook example
PolySync, a company that offers an IoT platform to test autonomous vehicle systems, monetizes via a subscription model. Their model consist on the possibility to start a free, 30-day trial, where you can use all their functionalities, when the trial is over, you may choose a subscription based model.
Outcome-based example
Some insurance companies are changing their charging models to usage-based or driving behaviour discounts, where your rate is based on how safe you drive. There are two popular business models Pay as you drive (PAYD) and pay how you drive (PHYD)
On both models, driving information can be accessed online allowing customers to see & monitor their driving patterns and make needed adjustments to improve their chances for better discounts.
Asset-Sharing example
Around 2003, Amazon realized they were not only good at retail, they had also become quite good at running IT infrastructure services, they had become highly skilled at running reliable, scalable, cost-effective data centres out of need.
Eventually Amazon decided to provide infrastructure services to third-party customers, and the rest is history.
Outcome-based example
Some insurance companies are changing their charging models to usage-based or driving behaviour discounts, where your rate is based on how safe you drive. There are two popular business models Pay as you drive (PAYD) and pay how you drive (PHYD)
On both models, driving information can be accessed online allowing customers to see & monitor their driving patterns and make needed adjustments to improve their chances for better discounts.
Asset-Sharing example
Around 2003, Amazon realized they were not only good at retail, they had also become quite good at running IT infrastructure services, they had become highly skilled at running reliable, scalable, cost-effective data centres out of need.
Eventually Amazon decided to provide infrastructure services to third-party customers, and the rest is history.
Data driven example
The jewellery store chain, Alex and Ani, have rolled out Bluetooth sensors to their stores that can track traffic numbers in their stores.
It tracks customers movements within the store, similar to a heat map, allowing the company to better organize and display its products. It also pushes specialized /customized, offers to users' phones as they enter the store.
Service Offering example
Volvo trucks, who has deployed a predictive analytics platform that monitors the truck's usage and the current status of the vehicle's various key components, so to plan maintenance better and also to predict component failure while truck is on the road, lowering the diagnosis and repair time of its customers.
Data driven example
The jewellery store chain, Alex and Ani, have rolled out Bluetooth sensors to their stores that can track traffic numbers in their stores.
It tracks customers movements within the store, similar to a heat map, allowing the company to better organize and display its products. It also pushes specialized /customized, offers to users' phones as they enter the store.
Service Offering example
Volvo trucks, who has deployed a predictive analytics platform that monitors the truck's usage and the current status of the vehicle's various key components, so to plan maintenance better and also to predict component failure while truck is on the road, lowering the diagnosis and repair time of its customers.