This document summarizes the key findings from a survey conducted by PwC on consumer attitudes towards artificial intelligence. Some of the main points include:
- Most consumers are optimistic about AI's potential benefits and see opportunities for AI to help solve societal issues like healthcare, education, and cybersecurity.
- Consumers believe AI will be able to replace humans in some roles like tutors and travel agents within the next 5 years but are less comfortable with roles like doctors.
- Digital assistants are gaining widespread acceptance and consumers see the potential for AI to serve as advisers, teachers, and even friends over time.
- Both consumers and businesses see opportunities for AI to automate tasks and free up time
Gamifying Strategy - Enterprise AI use cases on agent-based simulation and re...AnandSRao1962
This talk was presented at the 2018 O'Reilly AI conference in New York. It highlights how advances in AI gaming technology can be used to solve strategic problems in business. It combines agent-based modeling with reinforcement learning to solve strategic problems in financial services and mobility as a service sectors.
Digital, Data & Analytics, Disruption in DealsAnand Rao
Presentation at the PwC Midwest Deals Summit by Dr. Anand Rao, John Sviokla and Andrea Fishman.
The presentation looks at impact of digitization, data and analytics and the disruption they cause in retail, healthcare, agribusiness, and financial services. We look at how this is leading to more deals across the spectrum from large M&A's to private equity to venture capital
Gamifying Strategy - Enterprise AI use cases on agent-based simulation and re...AnandSRao1962
This talk was presented at the 2018 O'Reilly AI conference in New York. It highlights how advances in AI gaming technology can be used to solve strategic problems in business. It combines agent-based modeling with reinforcement learning to solve strategic problems in financial services and mobility as a service sectors.
Digital, Data & Analytics, Disruption in DealsAnand Rao
Presentation at the PwC Midwest Deals Summit by Dr. Anand Rao, John Sviokla and Andrea Fishman.
The presentation looks at impact of digitization, data and analytics and the disruption they cause in retail, healthcare, agribusiness, and financial services. We look at how this is leading to more deals across the spectrum from large M&A's to private equity to venture capital
This presentation was given at the OECD Network of AI Specialists (ONE) held in Paris on February 26 and 27. It was presented at the joint session of ONE and the Digital Council. It covers some of the key trends and developments in AI including operationalizing AI, responsible AI and National AI Strategies
Functionalities in AI Applications and Use Cases (OECD)AnandSRao1962
This presentation was given at the OECD Network of AI Specialists (ONE) held in Paris on February 26 and 27. It covers the methodology for assessing AI use cases by technology, value chain, use, business impact, business value, and effort required.
Talk presented at the Analytics Frontiers Conference in Charlotte on March 21. The presentation evaluates opportunities and risks of AI and how consumers, businesses, society and governments can mitigate some of the risks.
Listen to an experienced, global panel of insurance professionals present, discuss and answer your questions on the theme of “AI & Machine Learning”.
Brought to you by The Digital Insurer and sponsored by KPMG.
Data has always played a central role in the insurance industry, and today, insurance carriers have access to more of it than ever before. We have created more data in the past two years than the human race has ever created. Insurers—like organisations in most industries—are overwhelmed by the explosion in data from a host of sources, including telematics, online and social media activity, voice analytics, connected sensors and wearable devices. They need machines to process this information and unearth analytical insights. But most insurers are struggling to maximise the benefits of machine learning.
Ai in insurance how to automate insurance claim processing with machine lear...Skyl.ai
Explore more at https://skyl.ai/form?p=start-trial
About the webinar
Insurance companies are looking at technology to solve complexity created by the presence of cumbersome processes and the presence of multiple entities like actuaries, support team and customers in the claim processing cycle.
Today, a lot of insurance companies are opting for Machine Learning to simplify and automate the processes to reduce fraudulent claims, predict underwriting risks, improve customer relationship management. This automated insurance claim process can remove excessive human intervention or manual errors and can report the claim, capture damage, update the system and communicate with the customers by itself. This leads to an effortless process enabling clients to file their claims without much hassle.
In this webinar, we will discuss how insurers are increasingly relying on machine learning to improve claim processing efficiency and increase ROI.
Insurers expect artificial intelligence to completely transform the way they run their businesses.
Read more: https://www.accenture.com/in-en/insight-ai-redefines-insurance
The insurance industry – from product development to underwriting to claims – is being fundamentally transformed by AI technologies. Although some companies are investing aggressively in AI to slash costs while also enhancing the customer experience, most insurers will need to accelerate their efforts or risk discovering that it has become too late to catch up.
Ibm cognitive business_strategy_presentationdiannepatricia
IBM Cognitive Business Strategy presentation. Presented by Dianne Fodell and Jim Spohrer at the Cognitive Systems Institute Group Speaker Series call on October 8, 2015.
Augmenting human intelligence for future of work is the next disruptive innov...Steve Ardire
Steve Ardire
AI startup advisor 'force multiplier' aka 'The Merchant of Light'
https://www.forcemultipliersteveardire.com
https://www.linkedin.com/in/sardire/
#AI is About to Reshape the Workplace & Your Organization's #DataStrategySteve Ardire
#AI is About to Reshape the Workplace & Your Organization's #DataStrategy https://shar.es/1C4oQI at #CDOVision http://cdovision2016.dataversity.net/ April 19 - 20 in San Diego
This presentation was given at the OECD Network of AI Specialists (ONE) held in Paris on February 26 and 27. It was presented at the joint session of ONE and the Digital Council. It covers some of the key trends and developments in AI including operationalizing AI, responsible AI and National AI Strategies
Functionalities in AI Applications and Use Cases (OECD)AnandSRao1962
This presentation was given at the OECD Network of AI Specialists (ONE) held in Paris on February 26 and 27. It covers the methodology for assessing AI use cases by technology, value chain, use, business impact, business value, and effort required.
Talk presented at the Analytics Frontiers Conference in Charlotte on March 21. The presentation evaluates opportunities and risks of AI and how consumers, businesses, society and governments can mitigate some of the risks.
Listen to an experienced, global panel of insurance professionals present, discuss and answer your questions on the theme of “AI & Machine Learning”.
Brought to you by The Digital Insurer and sponsored by KPMG.
Data has always played a central role in the insurance industry, and today, insurance carriers have access to more of it than ever before. We have created more data in the past two years than the human race has ever created. Insurers—like organisations in most industries—are overwhelmed by the explosion in data from a host of sources, including telematics, online and social media activity, voice analytics, connected sensors and wearable devices. They need machines to process this information and unearth analytical insights. But most insurers are struggling to maximise the benefits of machine learning.
Ai in insurance how to automate insurance claim processing with machine lear...Skyl.ai
Explore more at https://skyl.ai/form?p=start-trial
About the webinar
Insurance companies are looking at technology to solve complexity created by the presence of cumbersome processes and the presence of multiple entities like actuaries, support team and customers in the claim processing cycle.
Today, a lot of insurance companies are opting for Machine Learning to simplify and automate the processes to reduce fraudulent claims, predict underwriting risks, improve customer relationship management. This automated insurance claim process can remove excessive human intervention or manual errors and can report the claim, capture damage, update the system and communicate with the customers by itself. This leads to an effortless process enabling clients to file their claims without much hassle.
In this webinar, we will discuss how insurers are increasingly relying on machine learning to improve claim processing efficiency and increase ROI.
Insurers expect artificial intelligence to completely transform the way they run their businesses.
Read more: https://www.accenture.com/in-en/insight-ai-redefines-insurance
The insurance industry – from product development to underwriting to claims – is being fundamentally transformed by AI technologies. Although some companies are investing aggressively in AI to slash costs while also enhancing the customer experience, most insurers will need to accelerate their efforts or risk discovering that it has become too late to catch up.
Ibm cognitive business_strategy_presentationdiannepatricia
IBM Cognitive Business Strategy presentation. Presented by Dianne Fodell and Jim Spohrer at the Cognitive Systems Institute Group Speaker Series call on October 8, 2015.
Augmenting human intelligence for future of work is the next disruptive innov...Steve Ardire
Steve Ardire
AI startup advisor 'force multiplier' aka 'The Merchant of Light'
https://www.forcemultipliersteveardire.com
https://www.linkedin.com/in/sardire/
#AI is About to Reshape the Workplace & Your Organization's #DataStrategySteve Ardire
#AI is About to Reshape the Workplace & Your Organization's #DataStrategy https://shar.es/1C4oQI at #CDOVision http://cdovision2016.dataversity.net/ April 19 - 20 in San Diego
THE GOOD, THE BAD, THE DATA - Artificial Intelligence and Robotic Process Aut...Ken O'Connor
Ronan Fitzpatrick, Director of Digital at PWC shares insights from PWC research on AI and Robotic Process Automation. Ronan explains that insight and trust in your data is pivotal to the successful use of Artificial Intelligence and Robotics.
THE GOOD, THE BAD, THE DATA - Artificial Intelligence and Robotic Process Aut...DAMA Ireland
Ronan Fitzpatrick, Director of Digital at PWC shares insights from PWC research on AI and Robotic Process Automation. Ronan explains that insight and trust in your data is pivotal to the successful use of Artificial Intelligence and Robotics.
We are seeing an explosion of the use of Bots in the areas of sales and customer service, but what makes a Chatbot useful? During the recent rise in Chatbot popularity we have seen many bad deployments, so how can you avoid the pitfalls and ensure your Bot succeeds?
Join us to learn all about the new world of Chatbots, Artificial Intelligence, Neuro-linguistic programming, Machine Learning and best practices for deploying the technology for your business.
Presentation given at the Analytics Frontier in Charlotte on March 21. The presentation covers the opportunities and risks of AI and how consumers, businesses, society, and governments can mitigate these risks.
Netwealth educational webinar: How to enhance your business with AdviceTechnetwealthInvest
Automating processes, focusing on the customer experience and taking advantage of external expertise is saving advisers time and enabling them to enhance and broaden their business proposition.
Netwealth's general manager of marketing, Andrew Braun, explores how advisers in Australia currently use and integrate technology into their practice, and the technology they plan on investing in over the next few years. This is based on findings from the recent Netwealth AdviceTech Report which surveyed over 200 advisers.
How to use ai apps to unleash the power of your audit program Jim Kaplan CIA CFE
Artificial Intelligence (AI) is found in just about every industry today, and accounting and auditing are no exception. Auditors that aren’t already exploring the vast potential of AI-powered applications in their audit program will soon find these tools are the industry standard and will be left in the dust if they don’t adapt and adopt.
To learn how to easily use AI apps in audit today, join us as we welcome Deniz Appelbaum, Assistant Professor at Montclair State University, for this exclusive presentation. With deep experience in audit analytics, Big Data, blockchain, audit automation, and fraud detection, Appelbaum brings considerable practical experience with audit technology to the audit profession.
In this presentation, she will help guests:
● Gain a basic introductory understanding of AI in audit.
● Understand how AP applications can be used in the context of auditing.
● Learn how to use AI apps in an audit for specific, achievable, measurable results.
Do you understand the differences between pattern recognition, artificial intelligence and machine learning? And most important, what they separately bring to the table? In this week’s webinar we will tackle the terminology and discuss its recent explosion of popularity, and also look at how the Ogilvy analytics team has applied machine learning methods to effectively answer client challenges and drive value.
Leveraging Applied AI to Accelerate Digital Transformation and Maximize Busin...Apttus
Enterprise business is taking a significant leap forward in its ability to maximize business outcomes using Applied AI – conversational and cognitive technologies. Leading organizations are accelerating digital transformation through machine learning, artificial intelligence and virtual assistants designed to streamline and accelerate revenue generation processes.
In this presentation for executives and decision makers, we’ll share insights from the soon-to-be-published Harvard Business Review study on using Applied AI to accelerate B2B Quote-to-Cash processes and commerce. We’ll examine Applied AI emerging trends, best practices, and barriers to adoption.
Building for the future of AI and Machine Learning at scaleMichael Nealey
Data and Analytics Executive Summit in NYC.
What's happening with AI in the Enterprise.
Analytic Waste.
https://pages.alteryx.com/on-demand-executive-summit-build-for-future-ai-ml-at-scale.html
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Epistemic Interaction - tuning interfaces to provide information for AI support
AI Through the Consumers Eyes
1. AI Through the Consumer’s Eyes
http:// digital.pwc.com
All Analytics Academy
Dr. Anand S. Rao
Global AI Lead, PwC Data& Analytics
2. Today’s discussion
1 2 3 4
Amplifying
Society
Amplifying
Service
Amplifying
Management
Amplifying
Value
Humans 2.0 Cyborg concierge Augmented C-suite Adaptive roadmap
PwC AI Accelerator | 2
3. We sampled 2,500 US
consumers and business
decision makers via a
nationally representative
online survey to explore
attitudes towards artificial
intelligence and its current and
future implications on society.
PwC AI Accelerator | 3
4. PwC | AI Through the Consumer’s Eyes
Amplifying society: Humans 2.0
4
Despite the
doomsday
scenarios painted
by Hollywood
and news media,
most consumers
are optimistic
about AI's
potential for
good.
PwC AI Accelerator | 4
5. Consumer enthusiasm for AIAmplifying Society
Humans 2.0
“In the next five years, I can see Al replacing humans as a …”
58%
56%
54%
52%
47% 46%
41%
39%
30%
22%
0
10
20
30
40
50
60
70
Tutor Travel agent Tax preparer Office
assistant
Home or
family
assistant
Health coach Financial
adviser
House
cleaner
Chauffeur Doctor
PwC AI Accelerator | 5
6. Potential areas of impact for AIAmplifying Society
Humans 2.0
Importance of AI being used to help solve:
Base: Gen pop – Q3 How important is it that Al be used to help solve the following societal issues?
62%
Clean energy
50%
Climate change
68%
Cybersecurity
and privacy
56%
Global health and
well-being
58%
Global education
31%
General inequality
61%
Personal financial
security and fraud
38%
Income inequality
66%
Cancer and
diseases
56%
Economic growth
$
$
PwC AI Accelerator | 6
7. Al promises access to allAmplifying Society
Humans 2.0
Al has the potential to expand opportunities and access:
believe Al will provide educational help to disadvantaged school children
believe Al will expand access to financial, medical legal, and transportation services to
those with lower incomes
This access is even more important to them than preserving
jobs of employees in certain industries:
say it’s more important to have access to more affordable legal
advice than preserve the jobs od lawyers
would rather have more affordable, convenient and reliable
transportation than preserve the jobs of taxi drivers
would rather have instant access to quality customer service
than preserve the jobs of customer service reps
71%
40%
80%
69%
64%
PwC AI Accelerator | 7
8. PwC | AI Through the Consumer’s Eyes
Amplifying Service: Cyborg Concierge
8
Society as portrayed in the movie Her
still seems like a far off vision, but
consumers have seen what could be and
they’re eager to get it.
PwC AI Accelerator | 8
9. Digital assistants are gaining acceptanceAmplifying Service
Cyborg concierge
Digital assistants are fuelling the first wave of artificial
intelligence adoption
of business execs72%
of millennials53%
Percentage already using digital assistants:
of consumers42%
34% of business execs
say that the time freed up
from using digital assistants
allows them to focus on
deep thinking and creating.
PwC AI Accelerator | 9
10. AI as Adviser, Teacher, and FriendAmplifying Service
Cyborg concierge
Relationship status: It’s complicated
This is how consumers see their relationships with digital assistants today
and in the future (% agree):
2%
8%
12%
7%
17%
5%
6%
7%
10%
14%
0 5 10 15 20
Stranger
Friend
Teacher
Acquaintance
Adviser
Today In five years
1%
3%
7%
5%
7%
1%
2%
3%
3%
4%
0 2 4 6 8
Spouse/partner
Adversary
Coworker
Confidante
Manager
Today In five years
PwC AI Accelerator | 10
11. Man+Machine better than just one of themAmplifying Service
Cyborg concierge
The human-bot premium
believe AI can reduce the time it takes to get answers while still being
highly tailored to their preferences
of millennials and 28% of business execs would pay a premium for a
hybrid service run by AI that offers direct access to humans, vs. a
human-only services
62%
43%
of consumers weren’t sure if their last customer service interaction
was with a human or a chatbot. As the line between humans and
bots becomes more blurred, consumers are looking for the best of
both worlds;
27%
PwC AI Accelerator | 11
12. Chatbots vary in functionalityAmplifying Service
Cyborg concierge
Rules-based Machine Learning
• Pre-trained language models
• Machine learning and deep learning
• Generative
• Pre-built responses
• Rule-based
• Retrieval
Platforms
Vendor Solutions
Frameworks AI Services General Agents
PwC AI Accelerator | 12
13. Four types of chatbotsAmplifying Service
Cyborg concierge
Traditional Approach (easiest)
• Typically rules-based but can be
Machine Learning
• Business rules and standardized
process clearly defined
Model
Domain
Impossible
• Developer cannot construct rules,
responses, and actions that
encompass all possible domains
Current Research (harder)
• Only Machine Learning/Deep
Learning
• Business rules are represented
in data but not explicitly defined
Artificial General Intelligence
(Hardest, Research)
• Chatbot learns to converse
naturally based on examples of
human dialogue
• Can be adapted to any domain
Have a
dialogue with
me about
anything
Book an
airline
flight for
me
Automated
customer
service agent
Retrieval-based Generative
OpenClosed
PwC AI Accelerator | 13
14. Beware of the ‘brittleness’ of chatbotsAmplifying Service
Cyborg concierge
Alexa, Where is Berlin?
Berlin is the capital of
Germany.
What was the answer to my previous
question?
Sorry, I don’t know that
PwC AI Accelerator | 14
15. Evolve your chatbots over time
Information
retrieval
Question
answering
Translation/
Summarization
Open dialogue
Description Given a query,
retrieve the most
relevant response
from a set of pre-
existing responses
Given a passage
and a query
pertaining to the
passage, generate a
single response to
the query
Given a set of
sentences,
generate a
summarization or
translation of the
sentences
Given a set of
multi-agent
conversational
utterances,
generate a
response to
continue the
conversation
Use cases 1. Document
retrieval
2. Answer retrieval
3. Smart reply
1. Reading
comprehension
2. Jeopardy-style
question
answering
1. Summary and
headline/title
generation
2. Language
translation
1. Conversational
customer
service bot
? ?
-------
----
-------
----
-----
...
...
Amplifying Service
Cyborg concierge
PwC AI Accelerator | 15
16. PwC | AI Through the Consumer’s Eyes
Amplifying Management: The Augmented C-suite
16
AI has the potential to optimize
processes across organizations
from business models to 0perations
to strategic decision making.
PwC AI Accelerator | 16
17. Business enthusiasm for AIAmplifying
Management
Augmented C-suite
What AI-powered solutions do you imagine having the largest impact on
your business?
16%
18%
19%
21%
26%
26%
26%
28%
29%
31%
0 5 10 15 20 25 30 35
Machine learning
Automated data analysts
Robotics
Systems used for decision support
Predictive analytics
Automated operational and
efficiency analysts
Automated research reports and
information aggregation
Automated communications
like emails and chatbots
Automated data analysts
Virtual personal assistants
Base: Business decision makers (500) – Q23. What AI-powered solutions do you imagine having the largest impact on your business?
PwC AI Accelerator | 17
18. The augmented C-Suite
Computing competitive advantage
Business execs are optimistic that Al can boost productivity and optimize processes:
agree that AI has the potential to enable humans to concentrate on meaningful
work, as well as indulge in more leisure activities
believe AI’s potential to boost business productivity, inform strategy, and generate
growth outweighs the potential downside of employment concerns
70%
55%
agree that AI solutions they have implemented have benefited productivity
54%
Amplifying
Management
Augmented C-suite
PwC AI Accelerator | 18
19. Business enthusiasm for AI
Less repetitive tasks = more big thinking
Business execs are eager to outsource the following tasks to a digital assistant, freeing up more
time for deep thinking and creativity
82%
Paperwork
79%
Scheduling
X
78%
Timesheets
69%
Accounting
$
65%
Personal expenses
$ $ $
60%
HR functions,
like benefits
60%
Email management
49%
Proposal Writing
37%
HR management
Amplifying
Management
Augmented C-suite
PwC AI Accelerator | 19
20. Augmenting strategic decision making
How profitable is the ‘personal
mobility’ market?
How do AV, Electric Cars, Connected cars
change this market?
What business models B2C, B2B, P2P would
work best?
Which cities to enter and how to price and
compete in this market?
Amplifying
Management
Augmented C-suite
PwC AI Accelerator | 20
Personal
Mobility
Service
Shared wheels
[XXX]
BATTERY
LIFE
NAVYGATION
ZERO
EMISSION
REMOTE
CONTROL
DASH
BOARDS
INFRASTRUCTURE
LOCATION
SERVICES
MAINTENANCE
21. Intelligent agents for choice modeling
Millions of consumer agents
Choices based on
preferences, habits, usage,…
Synthetic data creation
Transport
choice
Car share
characteristic
evaluation
Service 1 Service 2 Service 3
Car share Other
Commute
Errand
Weekend
1
Service Offering Types
2-Way
Free float
Peer to Peer
2
3
P(Car Sharing) P(Alternatives)
4
Amplifying
Management
Augmented C-suite
PwC AI Accelerator | 21
22. Strategic ‘cockpit’ for decision makers
Over 200,000 go-to-market scenarios
Amplifying
Management
Augmented C-suite
PwC AI Accelerator | 22
23. Roadmap to augmented strategic decisions
Pilot
Scale
Build
Strategy
PwC assists the Director
of Strategic Initiatives of
a large Global Auto
Manufacturer, in
evaluating the ride
share/car share business
model and potential
disruptors in the
personal mobility sector
Go-to-Market Model
PwC uses advanced AI
techniques (agent-based
simulation, big data
technologies) to model
over 200K go-to-market
scenarios modelling
consumer behaviour,
pricing, adoption, and
competitive response
City Selection
Client decides to set up
a separate business unit
focused on Personal
Mobility. PwC assists in
city selection model
and go-to-market
strategy for each city
Acquisitions &
Partnerships
Client leverages the personal
mobility adoption model to
make targeted acquisitions
and partner with new Auto-
tech players in different cities
AV Operational Model
PwC assists Client in
developing an operational
model for autonomous
vehicles and electric
vehicles involved in
Personal Mobility
Operational Rollout
Client is rolling out
personal mobility services
in major US cities and
aims to collect additional
operational data to feed
the personal mobility
models
EU Expansion
PwC is assisting the
Client’s European
Division to evaluate and
select cities for
expanding personal
mobility services
Amplifying
Management
Augmented C-suite
PwC AI Accelerator | 23
24. PwC | AI Through the Consumer’s Eyes
Amplifying Value: Adaptive Roadmap
24
PwC AI Accelerator | 24
AI is continuously evolving so develop an
AI strategy that can build on your core
capabilities while pivoting around new
opportunities and breakthroughs
25. Areas of focus for Enterprise AI
Artificial
Intelligence
• Robotic process automation
• Cognitive/Intelligent process
automation
• Process mining and learning
• Chatbots
• Virtual assistants
• Information retrieval
• Question & Answering systems
• Language generation
• Speech-to-text and text-to-speech
• Machine translation
• Agent-based modelling
• Social simulation
• Reinforcement learning
• Management cockpits
• Collaborative systems
• Supervised machine learning
• Unsupervised machine learning
• Convolutional neural nets, LSTM
• Generative Adversarial Networks
• Deep learning for text, voice,
images, video
Adaptive Roadmap
PwC AI Accelerator | 25
26. Getting started with Enterprise AI
Business-Aligned AI
Strategy
AI capability model
Institutionalizing AI
AI Governance & Change
Step 1
Step 2
Step 3
Step 4
Step 1: Develop an AI Strategy that is aligned with your overall
business vision and objectives.
Step 2: Develop an AI capability across the enterprise in the relevant
assisted, augmented and autonomous intelligence.
Step 3: Institutionalize the portfolio of successful AI capabilities by
embedding analytics in core processes, adopting cloud and open–
source platforms
Step 4: Ensure appropriate governance of all forms of intelligence
by educating and changing customer and employee perception of AI
Adaptive Roadmap
PwC AI Accelerator | 26
27. PwC’s Digital Services
Five key success factors to derive maximum benefits from
Artificial Intelligence, big data & analytics
Start from business
decisions
Demonstrate value through pilots
before scaling
Fail forward – test and
learn culture
Address ‘big data’ – don’t
forget ‘lean’ data
Blend intuition and data-driven
insights
PwC AI Accelerator | 27
