World AI summit "barriers to scale" - Deloitte

Barriers to Scale | Workshop Deloitte World AI Summit
09-10-2019

© 2019 Deloitte The Netherlands
Facilitators
Barriers to Scale | Workshop Deloitte World AI Summit 2019 1
Maurice Fransen Naser Bakhshi
Director Artificial IntelligenceDirector Analytics & Cognitive

Artificial Intelligence is experiencing a growth in sophistication across three major
horizons
The Journey for AI Adoption
Autonomous Intelligence:
AI decides and executes
autonomously
(e.g., General AI, Blockchain)
Horizon 3
Assisted Intelligence:
Requires human assistance
and interpretation
(e.g., Data Management, Data
Analytics, Robotics Process
Automation, AI Risk & Control)
Horizon 1
Horizon 2
Augmented Intelligence:
Machine Learning augments
human decisions
(e.g., Intelligent Automation, Cognitive
Insights, Cognitive Engagement, Narrow
AI)
Exponential computing
power
Explosion of data
Sophisticated
algorithms
Intelligent human-
machine interactions

Why this workshop?
4Barriers to Scale | Workshop Deloitte World AI Summit 2019

Why is it important to understand the hurdles that prevent us in leveraging value from
AI?
Barriers to Scale
Organizations struggle
to manage an
increasingly uncertain
world
Making sense of rapid
technological change
has became a top sport
Data & Artificial
Intelligence have
become important part
of our daily life
Being aware is not
enough, you need to
take action in spite of
uncertainty

Why is it important to understand the hurdles that prevent us in leveraging value from
AI?
Barriers to Scale
4%
2%
2%
4%
7%
21%
18%
20%
22%
0% 5% 10% 15% 20% 25%
N/A
Workflow reproducibility
Efficient tuning of hyperparameters
Lega concerns, risks or compiance issues
Technical infrastructur challenges
Difficulties in identifying appropriate business use cases
Lack of skilled people / difficult hiring the required roles
Lack of data or data qaulity issues
Company culture does not yet recognize needs for AI

Deloitte has developed and embedded an end-to-end AI platform
A Cognitive Information Retrieval Platform for a leading Life Science company
https://vimeo.com/338940522/ffaf8036f8

Barriers to Scale

We see 3 main categories why companies struggle to get real value out of AI
Barriers to Scale
Ethical
&
Unbiased AI
Data
&
Technology
Organization

Barriers to Scale
Data & Technology
Quality of
data
Labeled data
Legacy
landscape

Barriers to Scale
Ethical and unbiased AI
Biased data
TransparencyEthics
Legal issues

Advanced Algorithms can spiral out of control…..
Weapons of math destruction

Barriers to Scale
Organization
Talent
Way of
working
Trust

To create tangible value generated with support of AI requires not only a structure
approach but also a real team effort from multiple disciplines within and outside of the
organization
Scaling AI is “team sport”
1. WORK TOGETHER
• Business SME’s (depending on domai)
• Privacy & Security professionals for ethics and
(cyber) security
• Legal and Law professionals for contracting,
GDPR etc.
• Change Specialist with digital transformation
capabilities
• AI specialists with core DS/AI capabilities
• Data Engineers
• UX / UI designers and developers
• Enterprise Architects
• Dev/Ops leads
Responsibilities NIKE Responsibilities Deloitte
2. BENEFIT KEY STRENGTHS
TECHNICAL CAPABILITIES BUSINESS CAPABILITIES
3. ENSURE ADOPTION

Guiding principles to Scale

An AI journey can start small, with an assessment followed by building of a MVP, albeit
taking the broader strategic perspective into consideration
High level approach for the AI Journey
AI Value Assessment
Moonshot
Scale-up and Roll-out
outside the organizationMinimum Viable Product
Scale-up and Roll-out
within organization
Value
Time / Phases
Go or no-go
Go or no-go
Go or no-go
Go or no-go
Define a desirable, feasible
and viable AI solution
Create the minimum viable
product for the AI solution
Scale the solution up with
more functionalities, data
sources and features and roll
it out to other regions and
segments
Use the expanded knowledge
base and AI capabilities, build
solutions suitable for
customers and their
consumers
Realize the moonshot derived
from the corporate strategy,
making full use of the
integrated AI solution,
knowledge base and AI
capabilities

To start the journey, AI value assessment helps to determine the value add that AI
could bring
AI Value Assessment
Users
• Defined user personas and
as-is journeys
• Determined detailed use
cases (flows)
Business value
• Determined business value
of use case
Data
• Collect and assess the
required data and data
sources on as quality,
availability
Technology
• Check technological
feasibility of desired
functionalities
• Design architecture for AI
Platform
Organization
• Assess change readiness of
the organization
Risk
• Identify threats and risks
based on data and
architecture rules (e.g. GDPR)
Strategic alignment
• Assess whether the
solution is in line with
organization strategy
Industry alignment
• Validate the solution against
the AI developments in the
Industry
Feasibility (Can we build it?)Desirability (Do we want it?)
Viability (Does it make sense?)

After the AI Value Assessment the MVP design using the right tools and methods
ensures tangible results with both short and long term value
Minimum Viable Product
• Deloitte’s ’Asset Light’ approach - allows
the client to utilize Deloitte’s assets as long
as they need to postpone making large
investments in tooling, hardware or people
until they are certain about the solution
• Go/no-go decisions – Allow for the client
to assess if they want to continue
development
• Agile Methodology ensures for value
based, relevant prioritization of tangible
deliverables while incrementally reaching the
must haves and nice to have use cases
• MVP not only allows for a fast, tangible,
production ready solution, but also helps the
system to get smarter through
feedback/lessons learnt as users start using
the solution immediately
• Cognitive Control Tower - to ensure an aligned approach and methodology, cross leverage best
practices and learnings, bring in subject matter expertise
• Close collaboration between Deloitte and client experts / future users of the system to embed
knowledge in the organization and promote early adoption of the system
Key Design
Principles
Collaboration
& Governance
Focus on
tangible results
De-risk
investments

Once the MVP is complete, the AI platform can be scaled up by adding new features
while simultaneously rolling it out to new users or Business Units
Scale Up and Roll Out Beyond MVP
MVP
Roll-out
Scale-up
• Scale-up will consist of adding new features or new technology or languages to
the platform
• Activities consist mainly of new features development concerned with extending the
existing AI corpus
• Roll-out will consist of extending the solution to more users
either in another region or another function
• Close attention is given to (mindset) change management so
that users get the full benefit of the solution

Addressing the barriers requires a “multidisciplinary“ and structured approach. It will
be a journey through different phases that will need strong focus value generations
Guiding principles to scale (1/3)
VISION &
STRATEGY
• Focus on value creation instead of problem solving
• Educate the organization in what AI IS and what it is NOT!
• Adoption is about trust and cultural shift!
• Have a multidisciplinary team before embarking the AI journey
• Have “change champions” to embed AI
• Have “run & maintain” capacity & capability to keep AI alive
SKILLS &
TALENT
1
2

PROCESS
• Ensure end-user hands-on involvement from “Day-Zero”
• Perform business readiness assessment to focus where value is
• Agree on value measurement and “temp-check moments”
• Apply FAIR principles (Findable, Accessible, Interoperable, Reusable) to the data
• Perform feasibility assessment on quality of data
• Define and enforce a “holy bible” of privacy, ethics & security rules for your data
DATA
3
4

TECHNOLOGY
• Count on effort: AI solutions in a legacy landscape is like an “organ transplantation”
• Dare to say NO to “shiny” tools, algorithms and API’s
• Involve enterprise architects from the beginning of your AI journey
5

Where do you want to lead your organization to? A summary of Artificial Intelligence
maturity
Towards the AI fueled organization
Aware of possibilities.
However, little to no
infrastructure to collect
or use data exits, use of
AI is absent and
strategy towards it is
poorly defined
Adoption of new
technologies in parts of
the organization by
improving skills and
implement basic tooling.
Use of AI is basic and
limited
Expansion of
capabilities covering
multiple silo’s in the
organization, developing
an infrastructure to
combine insights from
more then one tool
and/or channel.
Expending AI use and
knowledge
Industrialization of
techniques on data from
a broad perspective of
resources and across all
channels.
AI use is a core
component in
generation of
meaningful and
predictive insights and
fuels new ideas
Transformation to
streamline decision
making between all the
functions in the
organization and fully
automated decision
making powered by
AI and monitored by
humans
Level 1
Raised
Awareness
Level 2
Juvenile AI
Level 3
Junior AI
Level 4
AI
Embracement
Level 5
AI-fueled
organization

Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee (“DTTL”), its network of member firms, and their related entities. DTTL and each of its member firms
are legally separate and independent entities. DTTL (also referred to as “Deloitte Global”) does not provide services to clients. Please see www.deloitte.nl/about to learn more about our global network of member
firms.
Deloitte provides audit, consulting, financial advisory, risk advisory, tax and related services to public and private clients spanning multiple industries. Deloitte serves four out of five Fortune Global 500® companies
through a globally connected network of member firms in more than 150 countries and territories bringing world-class capabilities, insights, and high-quality service to address clients’ most complex business
challenges. To learn more about how Deloitte’s approximately 245,000 professionals make an impact that matters, please connect with us on Facebook, LinkedIn, or Twitter.
This communication contains general information only, and none of Deloitte Touche Tohmatsu Limited, its member firms, or their related entities (collectively, the “Deloitte Network”) is, by means of this
communication, rendering professional advice or services. Before making any decision or taking any action that may affect your finances or your business, you should consult a qualified professional adviser. No entity
in the Deloitte Network shall be responsible for any loss whatsoever sustained by any person who relies on this communication.

World AI summit "barriers to scale" - Deloitte

Recommended

Recommended

More Related Content

What's hot

What's hot (18)

Similar to World AI summit "barriers to scale" - Deloitte

Similar to World AI summit "barriers to scale" - Deloitte (20)

Recently uploaded

Recently uploaded (20)

World AI summit "barriers to scale" - Deloitte