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AI and MeReimagine the business through
human and AI collaboration
Technology Vision 2020 | We, the Post-Digital People
#TECHVISION2020
#TECHVISION2020
Technology Vision 2020 | accenture.com/technologyvision 2
Can your enterprise survive the “tech-clash”?
We, the Post-Digital People
AI and Me
Reimagine the
business through
human and AI
collaboration
The Dilemma of
Smart Things
Overcome the
“beta burden”
Robots in
the Wild
Growing the
enterprise’s reach –
and responsibility
The I in
Experience
Helping people
choose their own
adventure
Innovation
DNA
Create an engine for
continuous innovation
#TECHVISION2020
Technology Vision 2020 | accenture.com/technologyvision
AI and ME
3
Leaders are using AI to
transform not just how
businesses do work, but
what work they actually do.
The true potential of AI doesn’t come from automation alone,
but from how it can become a symbiotic part of the workflow,
enhancing—not replacing—the output of people.
#TECHVISION2020
Technology Vision 2020 | accenture.com/technologyvision
AI and ME
4
Businesses focusing
on automation alone
are limiting the potential
of their AI applications.
of executives believe
collaboration between humans
and machines will be critical
to innovation in the future.
#TECHVISION2020
Technology Vision 2020 | accenture.com/technologyvision
AI and ME
5
Human and AI systems work better by
reimagining what’s possible together.
Volkswagen (VW) and Autodesk reimagined the
VW Microbus with generative design.
VW decided to reconceptualize their
Microbus, andpartnered with Autodesk to
experiment with generative design tools.
These tools enabled a collaborative
partnership between human and
machine. The humans set cleaner and
greener design requirements, and the
machine generated ideas that fit those
constraints. From there, the parties
continued to iterate, with the machine
generating ideas and human co-
workers curating and refining them.
With this approach, VW created
lighter parts and reduced the time
from development to manufacturing
from 1.5 years to just months.
The designers credited generative
design and their AI collaboration
with creating structures they could
never have created on their own.
#TECHVISION2020
Technology Vision 2020 | accenture.com/technologyvision
AI and ME
6
To start
reinventing the
organization,
enterprises need
to facilitate and
enable true
human-AI
collaboration.
#TECHVISION2020
#TECHVISION2020
Technology Vision 2020 | accenture.com/technologyvision
AI and ME
7
Fostering human-machine
collaboration requires
contextual comprehension
between people and machines.
8
For humans to understand machines,
they need explanations that can be
understood and trusted.
TD Bank is using AI to help approve or deny
loans, and introduced a tool that explains
the reasoning behind their AI's decisions.
As algorithms assume more responsibility,
this kind of explainability will help
employees trust new AI systems as their
decision-making partners. This will
also help them establish trust with
customers and demonstrate ethical-
decision-making processes to regulators.
And machines need to comprehend
what they are sensing in a more
human way to extend collaboration.
Technology advances are allowing AI systems
to better understand natural language in
context, similar to the way humans learn
reading comprehension in school. And this
growing comprehension isn’t limited to
language. Microsoft’s HoloLens 2 mixed reality
headset uses image recognition and machine
learning to identify objects and understand
what they are: for instance, that a couch is not
just a series of pixels, but something that can
be sat on and belongs in a living room.
#TECHVISION2020
Technology Vision 2020 | accenture.com/technologyvision
AI and ME
#TECHVISION2020
Technology Vision 2020 | accenture.com/technologyvision
AI and ME
9
Leaders are beginningto
recognizethe tremendous
potentialof enablinghumansand
machinesto inspireone another.
#TECHVISION2020
Technology Vision 2020 | accenture.com/technologyvision
AI and ME
10
Adobe is completely transforming its
suite of products with Adobe Sensei,
an artificial intelligence layer infused
across the company’s various cloud
tools. Using backend machine
learning models, data streaming
pipelines, microservices and more,
Adobe’s entire architecture is
designed to allow Sensei to provide
rich, intelligent collaborations as
people use Adobe’s products.
Adobe is using
collaborative
machinesto inspire
humansacross its
suite of creativetools.
#TECHVISION2020
Technology Vision 2020 | accenture.com/technologyvision
AI and ME
11
AI shouldn’t be seen as a
solution for one challenge,
but a transformative factor
for the entire organization.
Lemonadeisexploringanewapproachtoinsurance,usinganAI-first
model. The company infused AI across their workflows from onboarding
customers, to policy changes, to internal engineering team development,
to their claims process. Their claims process utilizes an intelligent agent
and anti-fraud algorithms to immediately pay out simple claims to
customers. For claims requiring further investigation, the intelligent
agent gathers relevant contextual information and then introduces the
customer to a human specialist. But the company's approach doesn't just
offer a collaborative AI partner to their customers and employees, it also
means that each new system change could introduce a new way to
transform their business with AI.
#TECHVISION2020
Technology Vision 2020 | accenture.com/technologyvision
AI and ME
12
Reimagining how they use AI will
help enterprises continuously and
quickly adapt to change and start
reimagining their future.
#TECHVISION2020
Technology Vision 2020 | accenture.com/technologyvision
AI and ME
13
#TECHVISION2020
Technology Vision 2020 | accenture.com/technologyvision
AI and ME
14
⎮ Determine the role that AI is playing in
your business alongside your existing
workforce. Think beyond which tasks
could be replaced and imagine how you
can build a new kind of workforce with
humans and AI collaborating side by side.
⎮ Determine what tools are available internally
to introduce the AI solutions needed to move
your organization in this direction. If none are
available, evaluate if employees have the skills
to build the solutions, or engage partners
to generate the necessary capabilities.
Is your company thinking collaboratively?
Decision Points
#TECHVISION2020
Technology Vision 2020 | accenture.com/technologyvision
AI and ME
15
⎮ Evaluate where your
industry is headed.
Where are partners
or competitors finding
success in deploying AI?
⎮ To ensure transparency
and trust, gather workforce
perspectives into the design
and implementation of AI
systems. Ultimately, these
employees will be the ones
who determine the success
of your AI investments.
⎮ If you’re not already using
AI in the company, find an area
to begin piloting the technology,
such as co-designing a new
product, coaching or training
employees or reinventing
customer engagement strategies.
How will you roll out collaborative AI
initiatives acrossthe organization?
#TECHVISION2020
Technology Vision 2020 | accenture.com/technologyvision
AI and ME
16
⎮ Evaluate the scope of decision-making that AI is
being given in your organization. Identify sensitive
areas where additional oversight may be needed
and prioritize post-implementation explainability
solutions, such as counterfactual explanations,
for those systems.
⎮ For all future AI projects, plan for
explainability by design. Develop
policies and principles that will
guide the development, building and
implementation of new AI systems.
How will you address explainability?
Thank you
#TECHVISION2020
www.accenture.com/technologyvision
Copyright © 2020 Accenture. All rights reserved.

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Accenture Tech Vision 2020 - Trend 2

  • 1. AI and MeReimagine the business through human and AI collaboration Technology Vision 2020 | We, the Post-Digital People #TECHVISION2020
  • 2. #TECHVISION2020 Technology Vision 2020 | accenture.com/technologyvision 2 Can your enterprise survive the “tech-clash”? We, the Post-Digital People AI and Me Reimagine the business through human and AI collaboration The Dilemma of Smart Things Overcome the “beta burden” Robots in the Wild Growing the enterprise’s reach – and responsibility The I in Experience Helping people choose their own adventure Innovation DNA Create an engine for continuous innovation
  • 3. #TECHVISION2020 Technology Vision 2020 | accenture.com/technologyvision AI and ME 3 Leaders are using AI to transform not just how businesses do work, but what work they actually do. The true potential of AI doesn’t come from automation alone, but from how it can become a symbiotic part of the workflow, enhancing—not replacing—the output of people.
  • 4. #TECHVISION2020 Technology Vision 2020 | accenture.com/technologyvision AI and ME 4 Businesses focusing on automation alone are limiting the potential of their AI applications. of executives believe collaboration between humans and machines will be critical to innovation in the future.
  • 5. #TECHVISION2020 Technology Vision 2020 | accenture.com/technologyvision AI and ME 5 Human and AI systems work better by reimagining what’s possible together. Volkswagen (VW) and Autodesk reimagined the VW Microbus with generative design. VW decided to reconceptualize their Microbus, andpartnered with Autodesk to experiment with generative design tools. These tools enabled a collaborative partnership between human and machine. The humans set cleaner and greener design requirements, and the machine generated ideas that fit those constraints. From there, the parties continued to iterate, with the machine generating ideas and human co- workers curating and refining them. With this approach, VW created lighter parts and reduced the time from development to manufacturing from 1.5 years to just months. The designers credited generative design and their AI collaboration with creating structures they could never have created on their own.
  • 6. #TECHVISION2020 Technology Vision 2020 | accenture.com/technologyvision AI and ME 6 To start reinventing the organization, enterprises need to facilitate and enable true human-AI collaboration. #TECHVISION2020
  • 7. #TECHVISION2020 Technology Vision 2020 | accenture.com/technologyvision AI and ME 7 Fostering human-machine collaboration requires contextual comprehension between people and machines.
  • 8. 8 For humans to understand machines, they need explanations that can be understood and trusted. TD Bank is using AI to help approve or deny loans, and introduced a tool that explains the reasoning behind their AI's decisions. As algorithms assume more responsibility, this kind of explainability will help employees trust new AI systems as their decision-making partners. This will also help them establish trust with customers and demonstrate ethical- decision-making processes to regulators. And machines need to comprehend what they are sensing in a more human way to extend collaboration. Technology advances are allowing AI systems to better understand natural language in context, similar to the way humans learn reading comprehension in school. And this growing comprehension isn’t limited to language. Microsoft’s HoloLens 2 mixed reality headset uses image recognition and machine learning to identify objects and understand what they are: for instance, that a couch is not just a series of pixels, but something that can be sat on and belongs in a living room. #TECHVISION2020 Technology Vision 2020 | accenture.com/technologyvision AI and ME
  • 9. #TECHVISION2020 Technology Vision 2020 | accenture.com/technologyvision AI and ME 9 Leaders are beginningto recognizethe tremendous potentialof enablinghumansand machinesto inspireone another.
  • 10. #TECHVISION2020 Technology Vision 2020 | accenture.com/technologyvision AI and ME 10 Adobe is completely transforming its suite of products with Adobe Sensei, an artificial intelligence layer infused across the company’s various cloud tools. Using backend machine learning models, data streaming pipelines, microservices and more, Adobe’s entire architecture is designed to allow Sensei to provide rich, intelligent collaborations as people use Adobe’s products. Adobe is using collaborative machinesto inspire humansacross its suite of creativetools.
  • 11. #TECHVISION2020 Technology Vision 2020 | accenture.com/technologyvision AI and ME 11 AI shouldn’t be seen as a solution for one challenge, but a transformative factor for the entire organization. Lemonadeisexploringanewapproachtoinsurance,usinganAI-first model. The company infused AI across their workflows from onboarding customers, to policy changes, to internal engineering team development, to their claims process. Their claims process utilizes an intelligent agent and anti-fraud algorithms to immediately pay out simple claims to customers. For claims requiring further investigation, the intelligent agent gathers relevant contextual information and then introduces the customer to a human specialist. But the company's approach doesn't just offer a collaborative AI partner to their customers and employees, it also means that each new system change could introduce a new way to transform their business with AI.
  • 12. #TECHVISION2020 Technology Vision 2020 | accenture.com/technologyvision AI and ME 12 Reimagining how they use AI will help enterprises continuously and quickly adapt to change and start reimagining their future.
  • 13. #TECHVISION2020 Technology Vision 2020 | accenture.com/technologyvision AI and ME 13
  • 14. #TECHVISION2020 Technology Vision 2020 | accenture.com/technologyvision AI and ME 14 ⎮ Determine the role that AI is playing in your business alongside your existing workforce. Think beyond which tasks could be replaced and imagine how you can build a new kind of workforce with humans and AI collaborating side by side. ⎮ Determine what tools are available internally to introduce the AI solutions needed to move your organization in this direction. If none are available, evaluate if employees have the skills to build the solutions, or engage partners to generate the necessary capabilities. Is your company thinking collaboratively? Decision Points
  • 15. #TECHVISION2020 Technology Vision 2020 | accenture.com/technologyvision AI and ME 15 ⎮ Evaluate where your industry is headed. Where are partners or competitors finding success in deploying AI? ⎮ To ensure transparency and trust, gather workforce perspectives into the design and implementation of AI systems. Ultimately, these employees will be the ones who determine the success of your AI investments. ⎮ If you’re not already using AI in the company, find an area to begin piloting the technology, such as co-designing a new product, coaching or training employees or reinventing customer engagement strategies. How will you roll out collaborative AI initiatives acrossthe organization?
  • 16. #TECHVISION2020 Technology Vision 2020 | accenture.com/technologyvision AI and ME 16 ⎮ Evaluate the scope of decision-making that AI is being given in your organization. Identify sensitive areas where additional oversight may be needed and prioritize post-implementation explainability solutions, such as counterfactual explanations, for those systems. ⎮ For all future AI projects, plan for explainability by design. Develop policies and principles that will guide the development, building and implementation of new AI systems. How will you address explainability?