ArtificialIntelligence How the adoption of AI has impacted ......Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics Global Consumer Insights

Artificial Intelligence

How the adoption of AI has impacted organizations

Data & Analytics

Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics

1. Artificial Intelligence


Artificial Intelligence is a field of computer science, dealing with the simulation of intelligent behavior in computers

?What is Artificial

Intelligence?

Artificial Intelligence can be defined

as the theory and development of

computer systems that perform

tasks that normally require human

intelligence such as speech

recognition, decision making,

visual perception and others. Data

related to the task acts as the

learning material to enhance the

intelligence of the AI algorithm. AI

techniques, such as agent based

modelling can also enhance long

term decision analysis*Cognitive computing can be understood broadly as a subset of AI that is primarily concerned with question/answering systems and NLP, Sources: 1 All italicized areas are listed as “hot” areas of AI research in “Artificial Intelligence and Life in 2030: One hundred year study on Artificial Intelligence”, Stanford University, August 1, 2016, Disclaimer: The list of AI techniques is non-exhaustive and tailored to this analysis

Deep Q&A

systems

(or Cognitive

Computing*)

Natural

Language

Processing

Large Scale

Machine

Learning

Deep

Learning

Computer Vision

(Imageanalytics)

Collaborative

Systems

Sensors/

Internet

of Things

Robotics

Algorithmic

Game Theory

& Computational

Social Choice

Audio/Speech

Analytics

Neuromorphic

Computing

Soft Robotics

(Robotic Process

Automation)

Areas within AI

(non-exhaustive)

Main AI techniques Description

Machine LearningDesign of learning algorithms, as well

as scaling existing algorithms, to work

with extremely large data sets

Deep Learning

Model composed of inputs such as

image or audio and several hidden

layers of sub-models that serve as input

for the next layer and ultimately an

output or activation function

Natural Language

Processing (NLP)

Algorithms that process human

language input and convert it into

understandable representations

Collaborative

Systems

Models and algorithms to help develop

autonomous systems that can work

collaboratively with other systems and

with humans.

Computer Vision

The process of pulling relevant

information from an image or sets of

images for advanced classification and

analysis.

Soft Robotics

(Robotic Process

Automation)

Automation of repetitive tasks and

common processes such as IT, customer

servicing and sales without the need to

transform existing IT system maps

4


Artificial Intelligence is moving

from assisted intelligence to

augmented intelligence.

As humans gain trust in AI

systems, they might become

autonomous intelligence

• While AI techniques enhance

the efficiency of activities

across the business value

chain, machines do not

dynamically adapt to

changing data

• Data scientists, analysts,

and researchers continue to

work towards either

assisting machines in

generating the required

output or continue to

manually perform certain

tasks

Assisted Intelligence Augmented Intelligence Autonomous Intelligence

Degree of Advancement High

• AI techniques will be

employed by businesses

to support a wider set of

tasks involving thinking,

analysis, and planning

• Computational algorithms

will begin to adapt to

changing data; machines

will not automatically

make decisions, they will

put humans in the best

place to make decisions

• AI techniques will be

used by businesses to

automate the decision

making process with

the absence of human

intervention

• Computational

algorithms will

automatically adapt to

changing data;

machines will be

programmed to continuously learn

Low

Man-Machine Intelligence Continuum

5


AI is disrupting the entire business value chain by automating existing business processes, uncovering new value from data and augmenting human decisions and actions

2. Deals driven by new AI capabilities

1. Exploding Intelligence& Automation

3. Disruption from Innovative Business Models

38% Relied on data and analytics to make Big Decisions

817 Number of new AI start-ups in the past few years

1.1 Zetabytes per year of IP traffic by 2016

$87 B Self-driving cars market opportunity by 2030 (Lux Research)

+$650 M Amount paid by Google to acquire AI start-up DeepMind

$1 B Amount paid by Monsanto to acquire Climate Corp

$290 M in VC funding for Robo-advisors in 2014

$309 M VC funding for AI Start-ups in 2014

$286 B Annual Personalized Medicine revenues

AI The Path to Value

for Businesses?

6


Machine Learning, Natural Language Processing and other AI technologies will lead to significant improvements in personalization and automation across all sectors

Sector Revenue

Businesses, products and services

that create new value

$ 5.3T $ 3T $ 4.2T $ 4.7T

Sector COGS

Potential reduction in costs,

automation of labor

$ 3.8T $ 1.6T $ 2.8T $ 2.4T

Sector SG&A

Operational efficiency$ 0.9T $ 0.7T $ 0.4T $ 0.7T

AI Impact @ 5%

EBITDA uplift$ 29B $ 25B $ 33B $ 37B

Likelihood of Labor Automation

% High Likelihood65% 32% 70% 55%

Investment

As a % of total AI investment 20162% 13% 4% 19%

Relative Impact (Hypothesis)

EnergyConsumer

GoodsHealthcare FSNon exhaustive

Relative impact potential H M L

Sources: CapiIQ Sector Revenue & EBITDA (LTM 6/30/2016, Global Public Companies & companies with public debt, avg. 96% coverage), US Bureau of Labor Statistics, Future of Employment (Frey & Osborne 2013), Tractica AI Report 2015

According to PwC research carried out for

this report, global GDP could be up to 14%

higher in 2030 as a result of AI – the

equivalent of an additional $15.7 trillion –

making it the biggest commercial

opportunity in today’s fast changing

economy

The greatest gains from AI are likely to be

in China (boost of up to 26% GDP in

2030) and North America (potential 14%

boost) The biggest sector gains will be in

retail; financial services and healthcare as

AI increases productivity, producer quality

and consumption.

+26%

+14%

7


Which regions will gain the most from AI?

AI to drive GDP gains of $15.7

trillion with productivity,

personalization improvements

In the near-term, the biggest

potential economic uplift from AI

is likely to come from improved

productivity.

Source: Sizing the prize

What’s the real value of AI for your business and how can

you capitalise? (PwC, 2017)

8


Global Consumer Insights Survey 2018

Artificial intelligence: Touchpoints with consumers

Asian consumers appear to be the

most receptive to adopting AI

devices for shopping. In China’s

massive consumer market, more

than one in five respondents (21%)

already own an AI device and more

than half (52%) plan to buy one. The

story is similar in Vietnam (19% own,

45% plan to), Indonesia (18% own,

49% plan to), and Thailand (15%

own, 44% plan to).

Brazil stands out as the market

having the greatest upside

potential, with 59% of respondents

looking forward to buying a device.

Ownership of AI: Top 10 countries

9


2. How AI is changing the rules of the game


Inteligência Artificial pode ser encontrada em:

Reconhecimento facial

Recomendação analisando

perfis e hábitos dos usuários

.

Assistentes inteligentes

Siri, Ok Google e outros...

Aplicado na saúde:

pesquisas médicas,

análises de mutação

e detecção câncer

11


Inteligência Artificial pode ser encontrada em:

https://www.youtube.com/watch?v=E8Ox6H64yu8

Video Meeting Sophia

Relacionamento

com o cliente

utilizando

Watson IBM

Reconhecimento

visual de objetos

em imagens e

vídeos

Revolução

automobilística

Carros Autônomos

IA & Internet das

Coisas e vestíveis

12

PwC’s Digital Services

DC1 - Informação de uso interno





Some resourcesInbound

Operations & Development

Outbound

https://cloud.google.com/natural-language/

Key Takeaways

PwC was able to analyze from contracts

terms to any other document that can be

removed information to take decision

Possible Extensions:

● Contract Management

● Payment processing

● Understanding tax and fees

● Internal controls

14


Some resourcesInbound


Outbound

https://cloud.google.com/natural-language/

Key Takeaways

PwC was able to analyze from contracts

terms to any other document that can be

removed information to take decision


● Contract Management

● Payment processing

● Understanding tax and fees

● Internal controls

15


Aerial Image Analytics: ConstructionInbound


Outbound

Key Takeaways

PwC was able to demonstrate aerial image

capabilities of its drone technology for

surveillance of construction sites

New regulations in flights taken by drones

allow for flights during night, expanding the

potential use cases of PwC’s aerial image

analytics capabilities


● Warehouse inventory tracking

● Transportation compliance

● Agriculture crop monitoring

● Insurance risk assessment and claims

management

Automated Data Collection: Aerial Imagery - By combining deep learning methods with the images collected from drone images of construction sites, PwC is able to automate the labeling of the sites and compare construction progress with the estimated timeline and ensure quality.

16

App PwC Geospatial


Smart Cooler: Unstructured Data Analysis of ImagesInbound


Outbound

Key Takeaways

PwC developed a prototype cooler

equipped with pre-packaged and custom-

built sensors. The image data from the

cooler can be used to track stock and

inventory management, allowing for real

time analysis of metrics

The refrigerator sends images to a cloud-

based API capable of processing the raw

image using deep learning models; the

system is scalable as the number of

coolers grows


● Warehouse inventory tracking

● Retail CRM

● Security● Advertising / Media

Deep Learning: Object

Recognition - The latest in

deep learning image

recognition techniques

combine object recognition

with image classification; a

task which used to take 30

seconds is now

accomplished in 100 ms

1. Identify cans 2. Detect Logos 3. Predict Brand

Demo Link: https://smartcooler.firebaseapp.com/1/image_analyticsMore info: https://drive.google.com/open?id=0B15A78kQcodoSUxrZ3JXRUJkRXM

Smart Cooler: Detecting Brand

Logos from Sensor Data

Predicitions

Coke

DrPepper

Fanta

Sprite

Coke Zero

75%

20%

2%

2%

1%

18

https://smartcooler.firebaseapp.com/1/image_analytics

https://drive.google.com/open?id=0B15A78kQcodoSUxrZ3JXRUJkRXM


Speech Recognition: Improving Sales CallsInbound


Outbound

Key Takeaways

PwC worked with a client who was

interested in answering the question:

“what makes an effective sales call?”.

Using speech-to-text APIs from

commercial providers as well as PwC

proprietary models, the team was able to

extract useful features from tens of

thousands of call transcriptions and call

metadata. This information was combined

with structured transaction data to gather

additional insights.

Several of the findings from this

analysis, including suggested

interaction frequencies, channel

patterns, and improvements to sales

scripts were incorporated into sales

training programs.

Deep Learning: Audio

recognition models -

Recent improvements in

speech-to-text modeling

capabilities make it possible

to use audio recordings as

features in traditional

modeling projects

19


Predictive Maintenance: Oil WellsInbound


Outbound

Key Takeaways

By connecting physical devices to the

digital world, IoT allows businesses to

improve their operational efficiency and

create new products/services, and in the

long term, IoT networks will usher in an

economy driven by outcomes and

market pull

While many Internet of Things

challenges are industry specific, it also

brings a set of hurdles intrinsic to sensor

data, network operations, large data

sets, and other aspects of the IoT;

challenges include: the velocity of data

(continuously streaming), and distributed

computing required by the large volumes

of data generated

More Info:

https://drive.google.com/open?id=0B15A78kQcod

oWFBTZzQ3WFVqdlk

IoT: Industrial Internet of

Things - Manufacturers are

using software to improve

operational efficiency using

data and analytics, and

achieving results such as

savings on scheduled

repairs, reduced

maintenance costs, and

fewer breakdowns1

20

https://drive.google.com/open?id=0B15A78kQcodoWFBTZzQ3WFVqdlk


Artificial IntelligenceInbound


Outbound

PwC’s Artificial Intelligence

prototype uses advanced

algorithms and APIs to detect

emotion on people’s faces to

improve marketing effectiveness.

Emotion is increasingly seen as

the component of customer

experience with the largest

impact on loyalty. Our product

can gauge emotion in retail

settings as well as after a movie,

lecture or ad campaign.

AI

AngerContemptDisgustFearHappinessNeutralSadnessSurprise

0.091330.628420.201280.000010.000410.054630.023850.00008

Detection Result: JSON:

[

{

“faceRectangle”: {

“left”: 175,

“top”: 187,

“width”: 214,

“height”: 214

}

“scores”: {

“anger: 0.000001900023718,

“contempt: 0.00002812955361,

“disgust: 0.0000101891646,

“fear: 0.0002911696,

“happiness: 0.09596056,

“neutral: 0.00334733119,

“sadness: 0.00000427461237,

“surprise: 0.9003565

}

}

]

21


Connected CabinetsInbound


Outbound

PwC’s Connected Cabinets is an

IoT device that captures data on

refrigerator temperatures and

door openings which, when

combined with maintenance

reports, create accurate

predictive maintenance models.

A large multinational consumer

packaged good company used

the solution to improve

reimbursement for product losses

caused by refrigeration problems.

22


Retail onLifeInbound


Outbound

PwC’s Retail Onlife solution helps

businesses determine the best

product formulations for

customers by using analytic

models to understand variables

and preferences related to hair

and lifestyle.

Information about the customer is

captured in a mobile app that

shows the customized product.

23


As soluções atuais de RPA oferecem uma gama de funcionalidades que

podem ser utilizadas de acordo com as características de cada processo

Captura e reconhecimento

de imagens (OCR)

Funcionalidade OCR com a

capacidade de identificar campos

e palavras específicas

Entrada de dados

Entrada automática

de dados em

sistemas e aplicativos

de múltiplas

plataformas

Decisões baseadas

em regras

Pode executar ações

"if-then" com base

em regras pré-

determinadas e pode

gerar fluxo de

trabalho

Busca de informações e

extração de documentos

Obter informações de

páginas da web, sistemas

e documentos com base

em palavras-chave

Capacidades RPA

Envio e recebimento de

comunicações (e-mails)

Envio e recebimento

automático de alertas

e-mails

Captura e transferência de

dados entre aplicativos

Transferência de dados

entre aplicativos via

interface ou digitação

24


Abaixo um exemplo de automação com RPA no processo de faturamento de

apólices de transportes

Recebimento das

Averbações

Formatação dos

Dados

Importação e Emissão

de Prévia

Faturamento e

Conferência

Processo Futuro

Robô transforma as informações

para novo layout e aplica validações

Redução do ciclo de processamentoAumento de produtividade Redução de erros e melhor compliance Colaboradores focados em atividades de maior

valor agregado

Principais Benefícios

Robô acumula as planilhas recebidas por

email ou captura os dados diretamente da

ferramenta ATM

Recebimento das

Averbações

Formatação dos

Dados

Importação e Emissão

de Prévia

Faturamento e

Conferência

Processo Atual

Averbações são recebidas

por email ou via ferramenta

ATM

•Consolidação das

informações do email

•Pesquisa de cada cliente

na ferramenta ATM e cópia

das informações para

template

Transformação da informação

para o Layout do Sistema CIT

•Reorganização das

informações em outro

layout

•Validações básicas

(data, CPF, etc.)

Importação dos dados no

CIT e geração da prévia

de faturamento

•Importação dos dados e

tratamento de exceções

•Complementação de

informações de outros

sistemas

•Envio de prévia a

corretores

Digitação dos dados para

faturamento no Sistema

correspondente

ErrosTrabalho

ManualErros

Trabalho

ManualErros de

Validação

Trabalho

Manual

Minutos

Segundos

Minutos

Segundos

Minutos

Minutos

Robô importa os dados no CIT, complementa

informações necessárias e envia prévia aos

corretores. Também repassa ao analista as

exceções para tratamento

•Digitação dos dados no sistema

de faturamento com base nas

informações do PDF gerado na

prévia

ErrosTrabalho

Manual

Minutos

Segundos

RPA Engine

Robô importa dados no TronWeb com base

no PDF gerado na prévia

25

P P P P


3. Workforce of the Future


No início do século, Ray Kurzweil,

Futurista e Chefe Engenheiro no Google,

previu que 20 mil anos de progresso

seriam alcançados nos próximos 100.

27

PwC’s Digital Services28

O mundo está mudando


Megatendências

Deslocamento do poder econômico globalMudança de poder entre países desenvolvidos e em desenvolvimento

Mudanças climáticas e escassez de recursosCombustíveis fósseis empobrecidos, clima extremo, aumento do nível do mar e

escassez de água

Urbanização aceleradaAumento significativo da população mundial que se desloca para viver

nas cidades

Avanços tecnológicos Avanços rápidos em inovação tecnológica

Mudanças DemográficasA mudança de tamanho, distribuição e perfil etário da população mundial

29

Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics 30

2 bilhões de trabalhos

que existem hoje

desaparecerão até 2030

A computação cognitiva está substituindo o

conhecimento no trabalho


Ruptura Digital

Equivale a50% dos trabalhos em todo o mundo

31


Ruptura Digital

56%

acham que os governos devem tomar "qualquer ação necessária para proteger os postos de trabalho da automação"

PwC survey of 10,029 members of the general population based in China, Germany,

India, the UK and the US

37%

estão preocupados com a automação colocando postos de trabalho em risco

32


Ruptura Digital

33


Onde precisamos de seres humanos em um mundo de inteligência artificial (IA)?

Fazendo a IA

trabalhar

• Desenvolvendo

• Treinando e testando

• Assegurando e explicando

• Sustentando

• Identificando novos usos

para IA

Aumentando IA

• Face humana da tecnologia

• Fornecendo liderança

• Persuadindo

• Criando e inovando

• Usando a empatia

Indo onde IA não

está

• Nichos não econômicos

para automatizar

• Artistas e artesãos

• Tarefas manuais

imprevisíveis

• Onde o serviço humano já

foi escolhido no lugar da

tecnologia

Ex. Uma organização de

serviços financeiros lançando

novo robô-conselheiro

Ex. Experiência de alto contato

com o cliente - tornando a

tecnologia humana

Ex. Personal Trainer e

cuidadores de idosos

34


Where industries will put practical AI to work

Ranking of AI impact by its

potential to free up time,

enhance quality, and

enhance personalization

35


Exemplos por indústria

Saúde

Timing

Pronto para ir: seguro médico e

agendamento inteligente (por

exemplo, compromissos e

operações).

Potencial a médio prazo: diagnóstico por dados e

desenvolvimento de medicamentos

virtuais.

Potencial a longo prazo: médicos robóticos que realizam

diagnóstico e tratamento.

Automotivo

FinanceiroTiming

Pronto para ir: sistemas

automatizados de assistência ao

condutor (por exemplo, assistência de

estacionamento, centralização de

pistas, controle de cruzeiro

adaptativo, etc.).

Potencial a médio prazo: fabricação e manutenção de peças

sob demanda.

Potencial a longo prazo: monitoramento do motor e

manutenção preditiva e autônoma.

Timing

Pronto para ir: conselho de Robo,

subscrição automatizada de seguros e

automação de processos robotizados

em áreas como finanças e

conformidade.

Potencial a médio prazo: design

de produto otimizado baseado no

sentimento e preferências do

consumidor.

Potencial a longo prazo: Deslocando - antecipando o que

acontecerá em áreas como perda

segurável (análise preditiva) para

moldar proativamente o resultado

(análise prescritiva) em áreas como

redução de taxas de acidentes ou

resultados melhorados do consumidor.

36


Habilidades novas e diferentes serão necessárias, novos trabalhos vão surgir...

72% dos CEOs estão preocupados com a disponibilidade de

competências chavePara eles, encontrar as habilidades que

necessitam tornou-se a maior ameaça para

seus negócios

37


E as habilidades que consideram mais importantes são...

Resolução de problemas

Adaptabilidade

Liderança

Colaboração

Criatividade

Inovação

38


O futuro do trabalho


Pensamentos sobre o futuro do trabalho

estão preocupados com a automação colocando postos de trabalho em risco

acham que a tecnologia nunca substituirão a mente humana

pensam que poucas pessoas terão emprego estável e de longo prazo no futuro

estão prontos para aprender novas habilidades ou se preparando para permanecer empregável

40


4. How to build trust and confidence in AI


Our responsible AI framework is designed to provide transparency over the

viability of the AI implementation project and confidence that the controls are in

place to ensure that the business outcomes meet expectations.

42


5. Pontos chaves para a Liderança


Mensagens-chave para a liderança relacionadas a pessoas

Aja agoraNão se trata de um "futuro distante" do trabalho - a

mudança já está acontecendo e de forma rápida.

Sem arrependimentos e apostasPlaneje um futuro dinâmico e não estático. Você precisará

reconhecer cenários múltiplos e em evolução. Faça

movimentos “ sem arrependimentos" que funcionem com a

maioria dos cenários - mas você precisará fazer algumas

"apostas" também.

Faça um salto maiorNão seja limitado pelo seu ponto de partida. Você pode

precisar de uma mudança mais radical do que apenas um

pequeno passo de onde você está hoje.

Aproprie-se do debate de automaçãoAutomação e a Inteligência Artificial (IA) afetará todos os níveis do

negócio e suas pessoas. É muito importante não deixar a TI (ou

qualquer outra área) sozinha. Uma compreensão profunda e uma forte

visão de mudança do cenário tecnológico é uma obrigação.

Pessoas, não trabalhoAs organizações não podem proteger os empregos que são

redundantes pela tecnologia - mas eles têm uma responsabilidade

para com suas pessoas. Proteger pessoas e não empregos. Cultivar

agilidade, adaptabilidade e reconfiguração.

Construa uma narrativa claraUm terço dos trabalhadores está preocupado com o futuro e seu

trabalho devido à automação - uma ansiedade que mata a confiança

e a vontade de inovar. Como seus funcionários sentem que influenciam

o negócio hoje - então comece uma conversa madura sobre o futuro.

44


Mensagens-chave para a liderança relacionadas a tecnologia

Start with the end in mind …Establish a broad understanding of the art of the possible,

success stories from inside and outside your industry, and align

these opportunities to your strategic priorities. Ensure you are

asking the right questions and can answer the questions across

the value chain, BUs, and divisions.

Stay focused on value … There are a lot of opportunities for AI & advanced analytics

investment across the organization. It is important to maintain

focus on the right portfolio of initiatives to ensure the

target state is fit for purpose, focused on ROI, and supports

option creating investments, strategic enablement projects, and

improves operational efficiency.

Accelerate progress and organizational

adoption … A pilot and prove approach to define innovation pilots,

pretotypes, prototypes, and app accelerators will help Client

quickly test analytics opportunities, improve organizational

adoption, and ensure value realization.

Leverage PwC’s AI & advanced

analytics expertise and experience…PwC has played a critical role defining and executing AI &

advanced analytics strategies across pharma and other

industries. We have made significant investment in Artificial

Intelligence (e.g., deep learning, large-scale machine learning,

NLP, robotics), analytics technology (e.g., data exchange, apps,

infrastructure) and people (e.g., industry experts, data

scientists, and external advisors. This investment will help

identify Client’s opportunities and bring them to life.

Team up with partner companiesCooperate with selected partner companies to provide latest

technologies to our customers

45


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ArtificialIntelligence How the adoption of AI has impacted ......Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics Global Consumer Insights