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

spawar@microsoft.com

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

Steam engine

Electricity

Microprocessor

Cloud

Enabling technology

What is Artificial Intelligence?

“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

CLOUD

MOBILE

Digital Natives

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.