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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 - How the adoption of AI has impacted organizations - Data Analytics
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 - How the adoption of AI has impacted organizations - Data Analytics
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
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
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
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
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
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
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
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
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
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
2. How AI is changing the rules of the game
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
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
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
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
https://www.youtube.com/watch?v=E8Ox6H64yu8
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
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
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
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
15
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
Aerial Image Analytics: ConstructionInbound
Operations & Development
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
Possible Extensions:
● 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
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
Smart Cooler: Unstructured Data Analysis of ImagesInbound
Operations & Development
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
Possible Extensions:
● 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
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
Speech Recognition: Improving Sales CallsInbound
Operations & Development
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
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
Predictive Maintenance: Oil WellsInbound
Operations & Development
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
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
Artificial IntelligenceInbound
Operations & Development
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
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
Connected CabinetsInbound
Operations & Development
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
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
Retail onLifeInbound
Operations & Development
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
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
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
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
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
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
3. Workforce of the Future
PwC’s Digital Services
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
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
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
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
Ruptura Digital
Equivale a50% dos trabalhos em todo o mundo
31
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
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
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
Ruptura Digital
33
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
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
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
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
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
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
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
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
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
E as habilidades que consideram mais importantes são...
Resolução de problemas
Adaptabilidade
Liderança
Colaboração
Criatividade
Inovação
38
PwC’s Digital Services
O futuro do trabalho
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
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
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
4. How to build trust and confidence in AI
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
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
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
5. Pontos chaves para a Liderança
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
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
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
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
Artificial Intelligence - How the adoption of AI has impacted organizations - Data Analytics
Obrigado