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1. Artificial
Intelligence for
DIGITAL
TRANSFORMATION
Your Company Name
1

2. CONTENT Evolution of Artificial Intelligence (AI)
How Companies are using Artificial Intelligence
Building AI Capabilities
How can AI help organization meet digital transformation goals?
Six stages of Digital Transformation
AI best practices for Digital Transformation
Challenges of Artificial Intelligence
2

3. Evolution of Artificial Intelligence (AI)
Programmable
mechanical
calculating machine
Ada
2007
Turing test
Alan Turing
2008
Artificial Intelligence
The first conference on AI by
John McCartny, Marvin Minsky
2009
General
Problem Solver
Demonstrated by
Newell
2010
2013
MacHack
Chess-playing program by
Greenblatt at MIT
Knowledge-based
medical diagnostics
program
Jack Myers Harry Pople
2014 2012
ELIZA & The First
Expert System
Joseph Weisenbaum, E.
Geigwnbaum
Commercial expert
system
2015 2011
Industrial robot
Unimations working on
GE
Polly: Behavior-
based Robotics
Ian Horswill
2016
Recommendation
Technology
TiVo Suggestions
2017
Mobile
Recommendation
Apps: Siri, Now,
Cortana
Apple, Google, Microsoft
2018
Machine Learning,
Deep Learning
2019
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4. How Companies are using Artificial Intelligence
15%
17%
19%
44%
16%
41%
16%
34%
15%
34%
16%Using runbook automation
Gauging internal compliance in using approved technology vendors
Reducing production management work by automating it
Resolving user’s technology problems
Detecting and deterring security intrusions
Tailoring promotions (online or offline)
Monitoring social media comments to determine overall brand affinity and issues
Improving media buying
Anticipating future customer purchases and presenting offers accordingly
Financial trading (e.g., high-frequency trading enabled by AI)
Automating call distribution
Information
Technology
Marketing
Finance &
Accounting
Customer Service
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5. Building AI Capabilities
Pattern
recognition
Understand trends for customer
financial transactions and spot
deviations to identify potentially
fraudulent behavior
Prediction
Capture short- and long-term
variability in data to improve
forecasting
Cognitive
search
Offer personalized
recommendations to shoppers
by matching their interests with
other customers who purchased
similar items.
Natural language
interaction
Tell a software application to
generate a report on sales revenue
predictions without having to run
the reports yourself
Natural language
generation
Get summaries of everything
that has been analyzed from a
large document collection
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6. How can AI help organization meet digital transformation goals?
› Can help by automating
repetitive tasks or processes with
RPA
› RPA allows knowledge workers
to focus on addressing
exceptions or solving problems
› Add text here
Digital workforce › Automating invoices and
applying RPA (Robotic Process
Automation) offers more
intelligence to accounts payable.
› AI can also help staff make better
decisions with the use of
graphical dashboards
› Add text here
Accounts payable and invoice
processing
› Organizations should deploy AI
in applications where a system
can learn to understand, find,
extract, and provide insights from
unstructured documents
› Add text here
Compliance and risk
› Covers onboarding of new
employees and customers
› Once the customer is enrolled,
using machine-learning
technology can track and learn
from this customer’s behavior to
let a company offer tailored
services
› Add text here
Onboarding
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7. Six stages of Digital Transformation
Business as
usual
Firms operate with a familiar
perspective of customers,
metrics, processes &
technology considering that
this the solution to digital
relevance
Innovative &
Adaptive
Digital transformation
becomes a way of business
as the company realizes that
change is constant and
systems are established to
identify & act upon latest
market trends
Present
& Active
Organizations aim to
improve and amplify specific
touchpoints & processes
Formalized
Company experiments
becomes intentional while
executing at more promising
& capable levels
Individuals work in
collaboration realizing the
strength of cooperative work
as their research, work &
shared insights contribute to
new strategic roadmaps for
digital transformation
Strategic Converged
Dedicated digital
transformation team is setup
to guide strategy &
operations based on
business & customer centric
goals
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8. › Need to keep a balance between control
and autonomy when applying AI
technology
› For efficient collaboration between humans
and machines, the appropriate level of
automation must be carefully defined
Maintain an unwavering focus on
user experience
AI best practices for Digital Transformation
Build trust in AI
› Take a rigorous approach to data & AI
Training methodology
› AI is going to make businesses more
productive by automating repetitive
operations, releasing resources to
focus on higher-value tasks
› Enterprise-scale momentum behind AI
builds trust, skills, increases adoption,
value delivery and the sheer buzz around
AI in the organization
› Accelerate this by exploring multiple AI
projects in parallel, in an agile delivery
framework that can support rapid
reallocation of effort and mix of skills
Progress via small steps, moving
rapidly and with purpose
› The most effective AI implementation teams
are multi-disciplinary, with representatives
from IT, operations and business teams
complemented by AI and data analytics
experts
› AI specialists also understand the business
domain into which any solution is to be
deployed
Embed AI professionals within your
business units and customer teams
› AI needs Human Governance
› AI as a tool and can be easily misused if not
fully understood
› Human oversight will always be an essential
part of ensuring that an AI is delivering correct
and trustworthy results
Maintain oversight
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9. Involves not only initial software costs but also but the on-going
costs for training employees and continued training of the AI system
when business processes change
Cost
With multiple technology options, it is hard to narrow down the
potential choices and select the best implementation path
Technology Options
Inability to precisely predict ROI especially at the start of the project
will be a source of friction
Inability to predict ROI
Any changes will be viewed with suspicion by the organization.
Becomes difficult to make the organization adapt to such changes
Culture Clash
Challengesof
ArtificialIntelligence
9

10. Artificial Intelligence for Digital Transformation Icons Slide
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18. Thank you
Address
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Contact Number
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Email Address
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