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Martin Vesper CEO digitalSTROM AG [email protected]

Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

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Page 1: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

Martin VesperCEO digitalSTROM AG

[email protected]

Page 2: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

It‘s a house, not a car.

Page 3: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

Very individual. Very different.

Page 4: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

In Style ...,

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Page 5: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

... in size ...

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Page 6: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

... and age ...

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Page 7: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

... and everybody is in the driverseat.

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Page 8: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

Thats why today ...

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Page 9: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

... everyboday has only automated parts that can be

standardiesed...

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Page 10: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

... and / or has a butler.

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Page 11: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

So to further automate we have to adjust to the

individual.

Page 12: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

The digital transformation of your home.

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Page 13: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house
Page 14: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

So how things work together is based on

software and data.

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Page 15: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

Towards a unique user experience with real

benefits.1. Provide a great enjoyable, comfortable user experience

2. Effortless and timesaving fulfilling of all duties

3. Provide an healthier environment

4. Reduce injury, death toll and material damage close to 0

5. Give the customer tools and automation so that he is most

competent in all relevant fields

6. Adjust over time to the lifestyle, especially the digital

lifestyle

7. Can be operated and expanded (plug in) by the mass

8. Be so energy efficient that everybody on earth can live up

to that standard

9. Best possible price

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Page 16: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

Example:

eliminate inconvinience you are used to

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✗ ✔

Page 17: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

16Project Nexu – Confidential

feel watch/detect

listen understand

The digitalSTROM smart home becomes

an invisible butler

Page 18: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

17Project Nexu – Confidential

Improving with time and the knowledge and

services available.

UPDATE

Page 19: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

18Project Nexu – Confidential

Now we would like to further automate

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Page 20: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

19Project Nexu – Confidential

MECHANICAL

FLEXIBEL

Two areas of competence of a robot:

19

AUTONOMOUS,

LEARNING FROM

ALL,

CONSIDERING

COMPLEX

ENVIRONMENT

Page 21: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

20Project Nexu – Confidential

Fresh Air in a Room: Robot Solution ?

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Page 22: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

21Project Nexu – Confidential

Electromechanical solution with connectivity ...

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Page 23: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

22Project Nexu – Confidential

...combined with a bot.

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Page 24: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

23Project Nexu – Confidential

Giving every device access to the smartest

systems

Page 25: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

We can provide every device a bot ...

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Page 26: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

... that gives them the ability to learn and adapt

and access cognitiv services.

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Page 27: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

It might learn from the community ...

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Page 28: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

... consider complex situations ...

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Page 29: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

... adapt to the individual making the best

personal experience possible.

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Page 30: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

Giving every device access to the smartest systems…

dS device bots

.....

Page 31: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

Kontext is key in a home.

• room names (kitchen, living room, bathroom)

• device names (ceiling light, wall light)

• scene names (breakfast, reading a book, getting

up)

• day of time

• weather

• ....

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Page 32: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

But consider: In a private home the line

between „helpful“ and „annoying“ is small.

95% 99%

right right

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Page 33: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

Ability to give feedback improves customer

experience.

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Page 34: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

Process of „mass market feasable setup“

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setup

• naming

• first manual adjustment

usage

• Learn the „needs adjustmenst“

• Find the „would be helpful“

autoadaption

• Learn from data

• Learn from feedback

Page 35: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

The avaibility of ML, cognitve services, cloud services allows this today.

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Page 36: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

Conclusion:

• digital transformation of a home with a reliable

infrastructure is needed

• context is key for a great user experience

• the ability to adapt automaticly brings „annoyance“

to acceptance

• the ability to adapt brings real benefits

• combination of local and cloud infrastructure

allows access to the best services

• machine learning algorithm are key for adaption

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Page 37: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

In a house we will see new devices that make

(more) sense in a connected and smart

environment.

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Page 38: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

We have seen this effect already with electricity.

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Page 39: Martin Vesper - Internet of Things Eventiotevent.eu/.../2016/...mashine_learning_user_experience_2016_09_21… · •machine learning algorithm are key for adaption 35. In a house

38Project Nexu – Confidential

Thank you for your attention.

digitalSTROM AG

www.digitalstrom.com

facebook.com/digitalSTROM

twitter.com/digitalSTROM