SLIDE 1 The Collaboration Era
How to thrive in an exponential world
CFA Montreal 2019 February 7 Mark van Rijmenam
SLIDE 2 Mark van Rijmenam Founder Datafloq & Imagjn Strategic advisor Blockchain startups
PhD Candidate Disruptive Innovation Expert Author Think Bigger and co-author Blockchain: Transforming Your Business and Our World
2018 2014
SLIDE 3
We live in exponential times
SLIDE 4 New technologies are changing the game
Image: Gartner
SLIDE 5 World’s 2nd most valuable retailer has no inventory World’s largest taxi company has no taxis World’s largest movie house has no cinemas Largest phone company has no telecom infra
Common Denominator: Data
SLIDE 6
To innovate in today’s world requires a different mindset
SLIDE 7
When technologies converge, a gestalt shift occurs
SLIDE 9
Rethink all processes and customer touchpoints
SLIDE 10 Put the data to work: embed smartness in your
SLIDE 11
BLOCKCHAIN ANALYTICS A.I.
SLIDE 12 Understanding the context to sense & seize
- pportunities and transform organisations
SLIDE 13
Yesterday: intuition and experience were used to make decisions
SLIDE 14
There is a flood of data coming our way
SLIDE 15
Trillions of sophisticated sensors collecting exabytes of data at the edges
SLIDE 16
2035: interacting with connected device every 18 seconds
SLIDE 17
SLIDE 18
Time to remove your silos and mix data: combining internal + external data
SLIDE 19
to use various types of analytics to empower your customers and employees
SLIDE 20
to move from content to context
SLIDE 21
Kaeser Compressors: selling Air-as-a-Service
SLIDE 22
When you take care of your customers, your customers take care of your shareholders
SLIDE 23 Big data is the new normal. It is a catalyst for
- ther technologies such as blockchain and AI
SLIDE 24
Blockchain: peer-to-peer collaboration among industry partners and customers
SLIDE 25
Blockchain: Immutable, Verifiable & Traceable
SLIDE 26 A computerized protocol that executes the terms of a contract, automatically without discretion If This Then That Statements, albeit a lot more complicated 3 distinctive characteristics: Autonomous, self-sufficient & decentralised
Smart contracts: changing governance and
SLIDE 27 Traditional Decentralised Organisations New Decentralised Autonomous Organisations Trust Experience and relationships Cryptography Decision- making Expertise and seniority Automatically using smart contracts Governance Established by board of directors Embedded in the code
SLIDE 28
Tokenomics: why and how tokens fuel the decentralised economy – currency tokens, utility tokens, and security tokens
SLIDE 29
Bitcoin will fail: it is slow, expensive, centralised and environmentally unfriendly
SLIDE 30
Convergence big data & blockchain: disrupting the business of data analytics
SLIDE 31
Changing how we deal with data
SLIDE 32
Data security: greater security via integrity, confidentiality & availability
SLIDE 33 Confidentiality: preserving authorized restrictions
- n information access and disclosure
SLIDE 34
Availability: ensuring timely & reliable access to and use of information, preventing DDoS attacks
SLIDE 35 Integrity: guarding against improper information modification
SLIDE 36
Integrity: education of consumers in how to deal with private keys is needed
SLIDE 37
Data governance: blockchain does not magically transform low-quality data into high-quality data in terms of consistency and correctness
SLIDE 38
Data privacy: changing the identity system to ensure your privacy
SLIDE 39
Making identity personal, private, persistent, portable and protected
SLIDE 40 Data ownership: consumers will have full control
SLIDE 41 Data sharing: Moving information across
- rganisations and beyond to integrate all
partners in the supply chain
SLIDE 42
Fujitsu Data Exchange Network: share data safely & rapidly across companies
SLIDE 43
Collaborating with IoT devices: IOTA enabling nano payments among machines
SLIDE 44
Changing how we deal with data
SLIDE 45
AI: Collaborating with the artificial and increasingly intelligent machines
SLIDE 46
Intuitive Artificial Intelligence: AlphaGo Zero beats AlphaGo within 72 hours
SLIDE 47 AI will become
copywriter, assistant, driver and customer service
SLIDE 48
Associated Press uses algorithms instead of analysts to write financial reports
SLIDE 49
Deep Knowledge Ventures gave an algorithm a seat in the board of directors
SLIDE 50
Lapetus uses facial recognition to discover how healthy you are using a selfie
SLIDE 51
Rise of the burger- flipping machines: Robots churning out 400 burgers an hour
SLIDE 52
AI is like Lego
SLIDE 53
Human-Machine Interactions, what does that mean?
SLIDE 54
https://youtu.be/7Pq-S557XQU
SLIDE 55
Conversational AI: making human-machine collaboration tangible
SLIDE 56
The rise of the Chatbots!
SLIDE 57
Chat bots assisting human staff who manage relationships to improve customer service
SLIDE 58
Chat bots for IT requests; handling 1.7 million requests per year, doing the work of 140 people
SLIDE 59
However, we have to be careful with H2M and M2M
SLIDE 60
The ethical and legal implications of the algorithmic business are huge!
SLIDE 61
SLIDE 62
SLIDE 63
We need Responsible AI: explainable AI, safety engineering and machine ethics
SLIDE 64
BLOCKCHAIN ANALYTICS A.I.
SLIDE 65 H2H H2M M2M
AI data
Start creating H2H, H2M & M2M interactions with data as the enabler
SLIDE 66 Takeaways:
1. Rethink all processes and customer touchpoints: achieve a ‘Gestalt shift’ within your organisation. 2. Big data will bring insights, blockchain will enable P2P collaboration and AI will bring automation. 3. A data-centric approach will create new customer experiences by taking the context into account.
SLIDE 67 E: mark@datafloq.com T: @VanRijmenam
Images: Shutterstock