This document discusses Infosys' approach to innovation through living labs, design thinking, and trends sensing. It provides examples of how Infosys has helped clients in aviation, banking, life sciences, and other industries innovate through rapid experimentation, problem finding, and showcasing minimum viable products. The document also summarizes specific innovations Infosys has developed using big data and machine learning to detect fraud in real-time and using deep learning to analyze contracts and advise on risk. It positions Infosys as a partner of choice for technology innovation.

1. Soaring Through Emerging Technologies in the Big
Data Era
Prasad Joshi
Vice President, Infosys Center for Emerging
Technology Solutions (iCETS)

2. Irrevocable – Irreplaceable –
Exponential
We are in the middle of a
transformation

3. Aviation Company - Innovation
Program
Bike Manufacturer - Joint
Innovation Center
Australian Bank - Innovation
Living Lab
Life Sciences - Design
StudioPostman of the Future
Toyota’s Driver Awareness
Research-Vehicle
Infosys Confidential

4. Rapid
Experi-
mentation
Problem
Finding
Innovation
Showcase
Minimum
Viable
Product
from to
Solving problems
In-house ideation
Small R&D groups
Siloed focus
Identifying problems
Listening to the end users
Innovation at every level
Interdisciplinary learning
Approach to Innovation
Infosys Live Labs

5. Infosys Innovation Approach
Innovation
Ecosystem
Innovation
with Infosys
Design
Thinking
Living Labs
Culture of
Innovation
Trends &
Sensing
Start-ups &
Universities
Zero
Distance

6. Big Data
Historic data was ingested and a fully
non-linear, supervised machine learning
model was build and deployed. The
model detected fraud in real time.
Incoming transactions were assigned a
probability based on the likelihood they
were fraudulent. The model also provides
details on which variables were
significant in predicting fraud. The
dataflow is automatically recorded for
regulatory compliance. The model is
especially designed to deal with highly
imbalanced datasets that are typical of
BENEFITS
$50M+
annual cost
savings
Update
fraud
models
once a day
instead of
once a year
Improved
customer
satisfaction
with 10% lift
in accuracy
Insight into
reasons for
fraud, with
full audit trail

7. Knowledge and Learning
BENEFITS
Contract
Complian
ce
Improved
Staff
Productivit
y
Reduced
Costs
and
Manual
Effort
Improved
Efficiency
Nia Contracts Analysis ingested a set of
Agreements and applied Deep Learning to
train on inputs provided by the client’s legal
team to create a knowledge base powered by
Neural Network (NN) that captured key
clauses, inter-relations using semantic
modelling, contentious clauses, risk levels
and guidelines. Using this model, the end
user simply inputted a new agreement and
the solution would advise on the risk score,
contentious and non-contentious clauses.
This decreased manual effort, increased
productivity and allowed the legal team to

8. US Localization HPCC Systems CoE
• Enhance HPCC Systems Platform -
iOT, Blockchain, Analytics
• Global Delivery Model for joint
execution
• Data Testing Support
Infosys As an SI
Infosys – A Partner of Choice
Technology Hub
- Indianapolis
Technology Hub
- Raleigh
25
People
10+
HPCC
Projects
System
Integrator
HPCC/E
CL
Web
Apps
R-
Package
IoTHire: 10,000 American workers by
2019
Build: Six Innovation Hubs across US
Train: Build World class Training
Facility in Indianapolis. Collaborate
with Universities

9. “Strategy leads to Direction.
Innovation leads to
Differentiation.”
Let’s Innovate!