AI in Business - Impact and Possibility

AI in Business: Impact and Possibility ~ www.firstalign.com ~ 1
Maximizing Human Potential
Transformation ~ Centers of Excellence ~ Artificial Intelligence
Areas of Impact & Possibility
Artificial Intelligence in Business
April 2018

Artificial intelligence (AI)
is rapidly moving into
business.

The result is a fundamental
shift in how we do business.

The sort of AI
we mean isn’t that
of science fiction.

It’s the sort of AI that
disrupts industry towards
the next evolution.

Freeing people to
add value by thinking productively.

Whilst accelerating
transformation and growth.

Redefining the possible
through Intelligent AI Processes.
Replicate human reasoning, draw conclusions,
with predictions, to help decision making.
~ articulate business cases
~ gain executive sponsor
~ commit process owners, and resources
~ pilot project
~ scale

Focusing on the value
that improves results.

The result is a fundamental shift
in how we do business, and what
organizations are capable of doing.
Freeing human ingenuity to focus on strategy.
~ Better able to manage repeatable process
~ Improve workflow standardization
~ Reduce multiple systems reliance
~ Frictionless “straight through” process
~ Reduce errors and operating cost
~ Increase risk management
~ Enhance customer experience
Business
Capabilities,
Processes,
etc.
Intelligent
AI & Robots
CRM, ERP,
BPM,
Transactional
Systems
Workforce,
Team
Members,
Human
Processing

Organization Technology
KPIsProcess &
Methods
Partners &
Alliances
Competency &
Performance
Governance &
Compliance
People &
Culture
Target
Operating
Model
Using AI to target how
organizations work.

❖ The term ‘artificial intelligence’ commonly
applies to devices or applications capable
of carrying out specific tasks in human
ways, by mimicking cognitive functions
such as:
o learning
o reasoning
o problem-solving
o visual perception
o language-understanding
❖ There are two main types of AI:
o Applied AI (weak or narrow AI)
 common systems designed to intelligently
carry out a single task,
e.g. moving a driverless vehicle, or trading stocks
and shares.
o Generalized AI (strong AI)
 less common systems or devices that can
theoretically handle any task, as they carry
enough intelligence to find solutions to
unfamiliar problems.
e.g. don't currently exist, as these technologies
are still in very early stages.
Most modern AI applications are enabled through a discipline known as 'machine learning'.
What is Artificial Intelligence?

Machine Learning
Natural Language
Processing (NLP)
Speech
Planning,
Scheduling
& Optimization
Robotics
Vision
Predictive Analytics
Translation
Speech to Text
Reduction
Reactive Machines
Image Recognition
Machine Vision
Limited Memory
Theory of Mind, Self-aware
Probabilistic, Temporal
Classical
Text to Speech
Information Extraction
Classification, Clustering
Deep Learning
Expert Systems
Artificial
Intelligence
(AI)
Interference Engine
Knowledgebase
Types of AI

❖ Automated Process Management
❖ Machine Learning
❖ Robotic Process Automation
o Data (Information)
o Signals and Triggers (Trends)
o Human (Behavior)
o Probability (Outcome Likelihoods) Datasets
Statistics
Pattern
Recognition
Machine
Learning
Knowledge
Discovery
Artificial
Intelligence
Neural
Computation
AML &
Automated
Process
Management
Data
Mining
Deep
Learning
Maximizing Human Potential
(Smart Technologies)

Computer
Science
Computability
Decentralised
Information Systems
Semantic Web Process
Calculus …
Artificial
Intelligence
Business Process Automation
Machine Learning
Bayesian Methods
Data Repositories
Deep Learning …
Socio-Cultural
Values Ethics
Lifestyles & Trends
Demographics
Corporate Attitudes
…
Mathematics
Game Theory
Networks
Statistics
Competitive Theory …
Psychology
Social Attitudes
Cognitive Properties
Information
Processing
Methods …
Biology
Evolutionary
dynamics
Systems biology
Plasticity …
Ecology
Structure of Ecosystems
Productivity
Populations Dynamics
Environmental Controls
Biosphere …
Sociology
Social Attitudes
Group Dynamics
Theory
Social Networks
Plume Tracing …
Technology
Protocols
Architectures
Structures & Security
Resilience
Usability …
Economics
Market Theory
Micro & Macros
Capital Types
Market Types …
Legal
Intellectual Property
Regulations
Public Engagement
Corporate Social
Responsibility …
Media
Fragmented Discourse
Moral Issues & Panics
Mobile Opinion
Formers
Smart Groups …
Sociological
DataSpiritual
Data
Political
Data
Cultural
Data
Financial
Data
Industrial
Data
Colliding
Data Science

We are going to look at
how Artificial Intelligence
can be applied to business.

❖ Over the years, AI research has enabled many technological advances, including:
o virtual agents and chatbots
o suggestive web searches
o targeted advertising
o pattern recognition
o predictive analytics
o voice and speech recognition
o face recognition
o machine translation
o autonomous driving
o automatic scheduling
How has it BEEN used in Business?
Many of these are now commonplace
and provide solutions to a great
number of business challenges and
complex, real-world problems.

Types of Impact.
❖ Automated/ Robotic process
o Automated assistants
o Automated process management
o Automated assistants
❖ Machine learning
o Search - indexing and feedback
o Personalization and recommendations
o Predictions and analytics
o Individual journal
o Research and service options
o Learning systems
o Machine learning TOMs
o Speech, text, language processing
o Value and risk profiling
o Probability modeling
o Customer DNA and data integration

For example, ML applications can:
o read text and decide if the author is making a
complaint or a purchase order
o listen to a piece of music and find other tunes to
match the mood
o recognize images and classify them according to the
elements they contain
o translate large volumes of text in real time
o accurately recognize faces, speech and objects
In the most basic terms, ML enables computers to
learn without being explicitly programmed.
What is Machine Learning?
Machine Learning.
❖ Machine Learning or “ML” through data
can learn using quantitative techniques.
❖ AI ML algorithm solutions continue to
self-improve as more data is accessed,
thereby reducing errors.
❖ Machine learning (ML) is a core part of
AI.
o it is based around the idea that machines
can detect patterns in data and adjust
their program actions accordingly

Where can AI be applied.
❖ Strategy and Organization
❖ Brand Management
❖ Finance Office
❖ Human Capital
❖ Business and Competitor Intelligence
❖ Data and Reporting
❖ Governance
❖ Risk Management
❖ Business Process and Change
❖ Operational Support
❖ Business Support
❖ Sales and Marketing
❖ Manufacturing and Delivery
❖ Legal
❖ Skills and Competency
❖ Business Continuity
❖ Consolidation, Sourcing, Vendor
Optimization

How is it BEING used?
❖ You can use AI technologies to:
o Improve customer services and experience
o Automate workloads, improve workflow
o Optimize logistics and repeatable process
o Increase output and efficiency
o Prevent outages
o Predict performance
o Predict behavior
o Manage and analyze data
o Improve your marketing and advertising
o Better decision making
o Reduce risk and fraud
❖ Depending on the type of AI, smart
programs can perform:
o Specific individual tasks, such as medical
diagnosis, electronic trading, robot control, etc.
o Complex, cognitive tasks based on their
understanding of how certain things (e.g. a
language or a behavior) work.
Artificial intelligence (AI) is steadily passing into
everyday business use, solving both business
problems and creating opportunities

Why is it relevant?

Impact of AI.
AI better captures dynamic complexities in a timely fashion.
AI more effectively automates planning processes,
increasing speed, flexibility and agility.
AI is better able to streamline managerial tasks.
AI increases prediction accuracy and reduces errors.
AI using ML algorithms self-improve over time.

Freeing human ingenuity
to focus on strategy.
Many businesses take up AI technology to reduce operational
costs, increase efficiency, grow revenue and improve customer
experience.
For greatest benefits, the full range of smart technologies should
be applied into processes and products.

❖ Save time and cost by automating routine processes
❖ Increase productivity and operational efficiencies
❖ Make faster business decisions
❖ Avoid mistakes and 'human error’
❖ Use insight to predict customer preferences
❖ Offer customers a better, personalized experience
❖ Mine vast amount of data to generate quality leads
❖ Grow your customer base
❖ Achieve overall cost savings
❖ Optimize your business, workforce or products
❖ Increase revenue by maximizing sales opportunities
❖ Grow expertise by enabling analysis
❖ Offer intelligent advice and support
❖ Solve business, operational or technical problems
❖ Impact customer demand
❖ Provide an offshoot of another project
By deploying the right AI technology, your business may gain ability to:
To improve business.

FirstAlign Solutions
o. 227 W 4th Street, Charlotte, NC 28202
p. 646-233-2488
e. contact@firstalign.com
www.firstalign.com
NOT JUST KNOWLEDGE, KNOW HOW
“Maximizing Human Potential”

AI in Business - Impact and Possibility

AI in Business - Impact and Possibility

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