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From Artificial Intelligence
to Financial Inclusion
Moscow 3 april 2019
AI Is Going To Shape All Of What We Do
Conversations reveal а lack of common definitions for Al — this is
an example of the ‘AI effect'
No one can agree on what “artificial intelligence“ is or isn't
Machine
learning isn’t
AI!
Machine
learning is a
subset of AI
AI is really
about
augmented
intelligence
Cognitive is the
human aspect
of AI
What we're
talking about is
deep learning –
no one has
achieved AI
Al effect
While no one can agree on what AI is, people clearly mean
something when they use the term
А suite of technologies, enabled by adaptive predictive power and exhibiting some degree of autonomous learning, that have made
dramatic advances in our ability to use machines to automate and enhance:
Many applications of AI-driven technology use a combination of the above automations and enhancements
Al does not exist in а vacuum — its capabilities will be intertwined
with the development of all other technological innovations
Advances in any one technology will increase the capabilities of an other technologies that interact with it
Al is altering the attributes necessary to build а successful business
in financial services
And creates а new wave of transformation across the global financial services industry
Scale of assets Scale of data
Mass production
Exclusivity of relationships
High switching costs
Dependence on human ingenuity
Tailored experiences
Optimization and matching
High retention benefits
Value of augmented performance
This is placing legacy business models under pressure from those whose businesses are built around these new attributes
Al presents Banks and Fintechs with the opportunity to change
their businesses in а multitude of ways ranging from incremental
improvement to complete reinvention
Doing the same things, better Doing something radically different
Leaner, faster operations Tailored products and advice Smarter decision-making New value propositions
from relatively conservative efforts to improve existing processes to bold bets on new capabilities and business models
Augmented intelligence
(bots/agents, robo-advisors,
intelligent automation)
Micro Personalization
of Financial Experiences
Branch of the Future
(Virtual Presence, Augmented
Reality, Seamless life
integration)
Digital ledgers and blockchain
Fintech partnerships
Predictive analytics, IoT, big data
Advisory
Payments
Cards
Deposits
and lending
Non-Traditional Services
Social Networks
How will Banks Innovate and Evolve?

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CRM Micro Soft ppt.pptx

  • 1. From Artificial Intelligence to Financial Inclusion Moscow 3 april 2019
  • 2. AI Is Going To Shape All Of What We Do
  • 3. Conversations reveal а lack of common definitions for Al — this is an example of the ‘AI effect' No one can agree on what “artificial intelligence“ is or isn't Machine learning isn’t AI! Machine learning is a subset of AI AI is really about augmented intelligence Cognitive is the human aspect of AI What we're talking about is deep learning – no one has achieved AI Al effect
  • 4. While no one can agree on what AI is, people clearly mean something when they use the term А suite of technologies, enabled by adaptive predictive power and exhibiting some degree of autonomous learning, that have made dramatic advances in our ability to use machines to automate and enhance: Many applications of AI-driven technology use a combination of the above automations and enhancements
  • 5. Al does not exist in а vacuum — its capabilities will be intertwined with the development of all other technological innovations Advances in any one technology will increase the capabilities of an other technologies that interact with it
  • 6. Al is altering the attributes necessary to build а successful business in financial services And creates а new wave of transformation across the global financial services industry Scale of assets Scale of data Mass production Exclusivity of relationships High switching costs Dependence on human ingenuity Tailored experiences Optimization and matching High retention benefits Value of augmented performance This is placing legacy business models under pressure from those whose businesses are built around these new attributes
  • 7. Al presents Banks and Fintechs with the opportunity to change their businesses in а multitude of ways ranging from incremental improvement to complete reinvention Doing the same things, better Doing something radically different Leaner, faster operations Tailored products and advice Smarter decision-making New value propositions from relatively conservative efforts to improve existing processes to bold bets on new capabilities and business models
  • 8. Augmented intelligence (bots/agents, robo-advisors, intelligent automation) Micro Personalization of Financial Experiences Branch of the Future (Virtual Presence, Augmented Reality, Seamless life integration) Digital ledgers and blockchain Fintech partnerships Predictive analytics, IoT, big data Advisory Payments Cards Deposits and lending Non-Traditional Services Social Networks How will Banks Innovate and Evolve?

Editor's Notes

  1. Focus on АI alone is not sufficient to understand the myriad ways in which it could be used within financial institutions. Much like other disruptive technologies, Al is not а panacea, and must be understood within the context of an other technologies that will affect how businesses operate. The potential list of interactions is endless, and will continue to develop and grow as these technologies mature and new disruptive technologies come to fruition. Advances in any one technology will increase the capabilities of an other technologies that interact with it Emerging technologies are mutually reinforcing, and the abilities of any one new technology are influenced by its interactions with other technologies
  2. greater competition, transparency and leading edge technology in the banking market As data becomes radically easier and cheaper to acquire, store, transfer and analyze, more specialist business models become viable. Cледующей технологией, которая поднимет востребованность платежей, полагаю, будет интернет вещей (IoT) Fintechs are here to stay - We cannot put the genie back in the bottle. The future is being wrought by technology, customer expectations, and the Fintechs. Banks are in a change or die scenario and they mostly know this. Essential technologies are known - New technologies such as cloud, augmented intelligence, big data (customer insights), bots, robotic process automation, open API infrastructures, blockchain, and others are going to be central in the new infrastructure. Invest in what is known - Banks should focus immediately on creating an agile platform with these technologies as essential elements. Let quick to value be the guide - Banks should begin by deploying projects which are quick to market, deliver proven value, and leverage these essential technologies.