Transforming Businesses Intelligently @ Red Hat Sydney Australia

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https://transforms.me/make/2018/9/20/transforming-businesses-intelligently Strategically, we all constantly want to improve our businesses and their performances in so many ways. But do we really know the key drivers behind successful business transformations? Are we aware of the role of human behaviour and attitude in determining the chances of achieving permanent change for good? This thought-provoking talk will expand on beliefs about ways of how emerging technologies can transform businesses and societies today. This talk blends science and practice to help gain a richer understanding of how transformation works, what its essential components are, how to design and apply influential strategies, what novel technologies - artificial intelligence, augmented reality, and advanced sensing - are effective at facilitating change processes, and what to do first thing each morning. This knowledge is applicable in multiple domains, including but not limited to business, governance, health, sustainability, education, safety, security, equality, economy.

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SELF-
CONTAINED
SELF-
DRIVEN
JANUARY
1st
TRANSFORMING
CHANGE CARE SOCIOTECH DESIGN
SMART
CLASSIFY UNDERSTAND AI / BIG DATA
SENSING
READ FEEL SENSORS
MEDIATED
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POSITIVENEGATIVE
INTENDED
UNINTENDED
MAJOR MINOR
HIGH
LOW
BACKFIRING
TARGET
SURPRISE
DARK GREY
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PEOPLE METRIC
BEHAVIOR TODAY
TRANSFORMATION FUTURE

TRANSFORMING
CHANGE CARE SOCIOTECH DESIGN
SMART
CLASSIFY UNDERSTAND AI / BIG DATA
SENSING
READ FEEL SENSORS

CT
COMPETITION
SL
LEARNING
SC
COMPARISON
CR
COOPERATION
NI
NORMATIVE
SF
FACILITATION
RE
RECOGNITION
INVOLVEMENT
ENGAGEMENT
PARTICIPATION

MEDIATED
ALGORITHMIC
MODERATED
USER
BEHAVIOR
USER
CONTENT
DYNAMIC
DESIGN
DYNAMIC
CONTENT
PERSUASIVE
DESIGN

POSITIVENEGATIVE
INTENDED
UNINTENDED
MAJOR MINOR
HIGH
LOW
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TARGET
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DARK GREY
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Transforming Businesses Intelligently @ Red Hat Sydney Australia

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Insurance IoT is a social good! Because: 🔵 Expected losses can be reduced structured programs with both real-time mitigation actions to solve a specific situation, and behavioral change mechanisms to promote safer behaviors (both in personal and commercial lines) 🔵 Rate can be matched to risks better: - Smaller and more accurate pricing clusters allow a large part of profiles to receive a lower rate - Even with the ability to price the individual probability of loss (cluster of one) the insurance foundation isn’t canceled (The risk of each policy will contribute to the expected losses of the portfolio; The premiums paid by many lucky policyholders will be used to pay the claims of the few unlucky policyholders who had an accident in a period of coverage) 🔵 IoT data can be used to increase the effectiveness and efficiency of the claim process, so improving the combined ratio ceteris paribus ⏩ Large part of the policyholders will pay less (and portfolios currently difficult to insure will become more insurable) Insurance IoT (and telematics) is not about providing a discount Insurance IoT (and telematics) is about creating economic value using the data and sharing part of this value with policyholders (and agents & brokers) An integrated holistic adoption of the IoT paradigm is a game changer for your insurance business and a social good: ◾ it allows to improve the availability and affordability of insurance coverages ◾while allowing the sector to write a profitable business Below you can enjoy a selection of best practices in both personal and commercial lines - written with some of the IoT Insurance Observatory members - that have already started to obtain results from their IoT business transformation journeys

Insurers' journeys to build a mastery in the IoT usage

Matteo Carbone

Business Model Canvas (BMC)- A new venture concept

P&CO

Transforming Businesses Intelligently @ Red Hat Sydney Australia

1. SELF- CONTAINED SELF- DRIVEN JANUARY 1st TRANSFORMING CHANGE CARE SOCIOTECH DESIGN SMART CLASSIFY UNDERSTAND AI / BIG DATA SENSING READ FEEL SENSORS MEDIATED ALGORITHMIC MODERATED USER BEHAVIOR USER CONTENT DYNAMIC DESIGN DYNAMIC CONTENT PERSUASIVE DESIGN TRIANGLE CURVE DEFINITION CIRCLES LAYERS SOCIUM MODERATION ETHICS CT COMPETITION SL LEARNING SC COMPARISON CR COOPERATION NI NORMATIVE SF FACILITATION RE RECOGNITION INVOLVEMENT ENGAGEMENT PARTICIPATION POSITIVENEGATIVE INTENDED UNINTENDED MAJOR MINOR HIGH LOW BACKFIRING TARGET SURPRISE DARK GREY INVISIBLE VISIBLE DARK

2. https://scottbreslin.org/2016/08/transformation-vs-change/

3. 0.99365 = 0.03 1.01365 = 37.78

4. https://gizmodo.com/marvel-at-this-drivable-bugatti-chiron-built-from-a-mil-1828680513

5. https://www.piaggiofastforward.com/gita

6. ATTITUDE BEHAVIOR ENVIRONMENT

7. MIND BODY WORLD http://www.clker.com/cliparts/3/5/0/4/11949842401475480235wire_globe_01.svg.hi.pnghttps://clipartxtras.com/categories/view/7aaf918b22e18876522619169ba0faf6470137a2/someone-thinking-clipart.html

9. http://performancecritical.com/handling-inattention-barrier-effective-communication/

10.

11. http://inspiration.goreapparel.com/cycling-to-work/

12. https://echristensen42.com/2016/10/07/creating-your-own-pathways-through-the-cloud/usesidewalks/

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15. http://www.thisiscolossal.com/2014/10/lets-bike-it-bamboo-car-skeletons/

16. Matthias Wunsch

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18. 6 WEEKS 14 COMPANIES 239 EMPLOYEES 29374 MILES

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20. https://vimeo.com/287397858

21. http://levieva.blogspot.fi/2011/06/social-psychology.html

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26. SELF- CONTAINED SELF- DRIVEN JANUARY 1st SELF- DRIVEN SELF- CONTAINED JANUARY 1st

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30. transforming MASTERCLASS

31. SELF- CONTAINED SELF- DRIVEN JANUARY 1st TRANSFORMING CHANGE CARE SOCIOTECH DESIGN SMART CLASSIFY UNDERSTAND AI / BIG DATA SENSING READ FEEL SENSORS MEDIATED ALGORITHMIC MODERATED USER BEHAVIOR USER CONTENT DYNAMIC DESIGN DYNAMIC CONTENT PERSUASIVE DESIGN TRIANGLE CURVE DEFINITION CIRCLES LAYERS SOCIUM MODERATION ETHICS CT COMPETITION SL LEARNING SC COMPARISON CR COOPERATION NI NORMATIVE SF FACILITATION RE RECOGNITION INVOLVEMENT ENGAGEMENT PARTICIPATION POSITIVENEGATIVE INTENDED UNINTENDED MAJOR MINOR HIGH LOW BACKFIRING TARGET SURPRISE DARK GREY INVISIBLE VISIBLE DARK

32. ATTITUDE BEHAVIOR ENVIRONMENT

33. ATTITUDE BEHAVIOR ENVIRONMENT - + +

34. PEOPLE METRIC BEHAVIOR TODAY TRANSFORMATION FUTURE

35. SELF- CONTAINED SELF- DRIVEN JANUARY 1st SELF- DRIVEN SELF- CONTAINED JANUARY 1st

36. TRANSFORMING CHANGE CARE SOCIOTECH DESIGN SMART CLASSIFY UNDERSTAND AI / BIG DATA SENSING READ FEEL SENSORS

37. CT COMPETITION SL LEARNING SC COMPARISON CR COOPERATION NI NORMATIVE SF FACILITATION RE RECOGNITION INVOLVEMENT ENGAGEMENT PARTICIPATION

38. MEDIATED ALGORITHMIC MODERATED USER BEHAVIOR USER CONTENT DYNAMIC DESIGN DYNAMIC CONTENT PERSUASIVE DESIGN

39. POSITIVENEGATIVE INTENDED UNINTENDED MAJOR MINOR HIGH LOW BACKFIRING TARGET SURPRISE DARK GREY INVISIBLE VISIBLE DARK