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MGX FY17Financial Services
Karen ConeGeneral Manager, WW Financial Services
• Digital Transformation with Productivity & Collaboration
Artificial IntelligenceTransforming Financial Services
Shashank Pawar
Data & AI Lead Financial Services
Microsoft Australia
First Industrial RevolutionSteam, water,
mechanical production
Second Industrial RevolutionDivision of labor, electricity,
mass production
Third Industrial RevolutionElectronics, IT,
automated production
Fourth Industrial RevolutionData analytics, mobile devices,
artificial intelligence, machine
learning, robotics, genomics
The
path
of
human
progress
“OUR GOAL IS TO DEMOCRATIZE A.I.
TO EMPOWER EVERY PERSON
AND EVERY ORGANIZATION
TO ACHIEVE MORE
”SATYA NADELLA
Microsoft’s Digital Transformation is happening….with a customer-centric, industry focus
Reinvent productivity
& business processes
Build the intelligent
cloud platform
System of Intelligence
Create more
personal computing
Engage your
customers
Empower your
employees
Optimize your
operationsTransform your
products
Hi, I’m Cortana
Your
Personal Assistant
Innovation platforms in Capital Markets
Internet of Things, Devices, Sensors
Banking as a Service
Open API Economy
Blockchain
Transformational digital ledger
AI: Conversation as a Platform /
ChatBots….. Robo AdvisoryMachine Learning
HoloLens:
Holographic Trading
Conversational apps
with >2 Billion users
Azure
Blockchain as a
Service
Next Best
Action/Offers
Churn Propensity Trading Analytics
Financial Crime
Detection
Risk Management Customer Service
This is not in the future…its happening now
Financial institution
takes advantage of
conversational
commerce with EVA
(Electronic Virtual
Assistant)
Faster servicing of mass
affluent clients in a
conversational manner –
engaging clients on their
channel of choice.
Estimated 90% saving in
transactional costs. Improved
efficiency without increasing
the number of human agents
Revitalizing traditional
lending by crunching
data better
QuarterSpot uses advanced
ensemble models that
incorporate real-time data
from various sources—
including business bank
accounts—to calculate the
probability an applicant will
default on the loan. Based on
the results, QuarterSpot
decides whether to approve
the loan and determines an
appropriate interest rate
commensurate with the risk.
Australian financial
services company is
using Microsoft cloud
and analytics
technologies to help
lenders stress-test their
mortgage portfolios.
By undertaking detailed
analysis of macroeconomic
factors such as house price
indices, gross domestic
product, unemployment
and interest rates, lenders can
predict future mortgage
performance and manage
risk.