inteligência artificial mitos e receios, Ética e oportunidades · inteligência artificial mitos...

Paula Panarra Diretora Geral

Microsoft Portugal

Inteligência Artificial

Mitos e Receios, Ética e Oportunidades

10 Outubro

artificial intelligence

Huge Computational PowerVast Amounts of Data Powerful Algorithms

Project InnerEye

Machine learning techniques for the

automatic delineation of tumors

as well as healthy anatomy in 3D

radiological images. This enables:

▪ Extraction of targeted radiomics

measurements for quantitative

radiology

▪ Fast radiotherapy planning

▪ Precise surgery planning and

navigation

Today’s debate

acknowledge the complexity and gravity

opportunities

Audience perceptions

1

Transparency,

privacy and control

2

No clear leader in

Responsible AI.

4

Lack of

accountability for

responsible AI.

3

There is no one

owner but a shared

responsibility.

5

Terminology matters

Trusted AI

Ethical AI

Responsible AI

Design AI

to Earn

Trust

84%AI provides

competitive

advantage

14%

AI will create

new business

75%

23%

Source Gartner, 2019

Source BCG, 2017

Single use case solutions

only scratch the surface

of AI’s full potential

Defining an AI strategyEnables transformation throughout

the organization

Field service

Fraud prevention

Supply chain management

Patient care

Incubation

Cost centers

Revenue streams

Every application

Every process

Every employee

Every

application

Every

process

Every

employee

Build the next generation of smart

applications

Chatbot

Content creation

Predictive analytics

Recommendation engine

Marketing Customer ServiceSales Finance & Operations

Enable brand monitoring

via user feedback

tracking

Improve seller efficiency

with priority lead

generation

Generate comprehensive

customer profiles across

social media platforms

Reduce costs

and optimize operations

with data-driven decisions

Every

application

Every

process

Every

employee

Inventory and

pricing optimization

Product discovery

and selection

Personalized

experience

Unified

shopping journey

1 Source: McKinsey Global Institute, 2018

Every

application

Every

process

Every

employee

Turn disparate data into

accessible knowledge

Democratize AI experiences

Drive innovation with

self-service AI

Every

application

Every

process

Every

employee

https://aischool.microsoft.com

Paula Panarra Diretora Geral

Microsoft Portugal

THANK YOU