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TECHNOLOGY AND ITS USE IN FINANCE - Coggle Diagram
TECHNOLOGY AND ITS
USE IN FINANCE
PART A: AUTOMATION
3.1 THE BASICS OF AUTOMATION
KEY AUTOMATION TECHNOLOGIES
Data in Automation
Automation Technologies
Robotic Process Automation
Artificial Intelligence
Machine Learning
COMBINING TECHNOLOGIES
3.2 THE VALUE OF AUTOMATION
USING INTELLIGENT AUTOMATION FOR VISUAL, LINGUISTIC
AND PREDICTION TASKS
Visual Tasks
Facial Recognition
Item Recognition
Traffic Flow
Data Visualisation
Data Visualisation
Linguistic Tasks
Content Categorisation
Contextual Extraction
Document Summarisation
Speech-to-Text and Text-to-Speech Conversion
Chatbots and Voice-Based Assistants
Machine Translation
Machine Translation
Emotion Analytics
Prediction Tasks
Recommendation Engines
Behaviour Prediction
Intelligent Predictive Analytics
USING A BALANCED SCORECARD TO EVALUATE
AUTOMATION AND COMMUNICATE ITS BENEFITS
How to Use the Balanced Scorecard
six categories of organisational resources and objectives
customer advocacy
productivity
people
flexibility
scalability
controls.
3.3 PLANNING FOR SUCCESS
BUILDING AN EFFECTIVE AUTOMATION STRATEGY
five common areas that every organisation needs to consider when developing an automation
strategy.
data of sufficient quality
automation technologies such as RPA or various types of AI, and appropriate algorithms to perform the work
infrastructure to support the data and automation technologies
commitment, cooperation and coordination across the organisation to improve processes
skills to plan and implement automation, and to work differently in the transformed organisation.
factors are worth keeping in mind
Analysis of root causes
Plan for the journey
Standardisation
Optimisation
Prepare the environment
Prepare the data
Use tools that are fit for purpose
Implementation
Obtain the expertise
Post-implementation review
PART B: ROBOTIC PROCESS AUTOMATION
3.4 THE BASICS OF RPA
HOW DOES RPA WORK?
UNATTENDED, ATTENDED AND HYBRID RPA
BUSINESS PROCESS MANAGEMENT
WHERE DOES RPA FIT?
3.5 BENEFITS OF RPA
CREATING A BUSINESS CASE FOR RPA
RPA IN THE FINANCE FUNCTION
RPA IN BUSINESS
3.6 RISKS AND CHALLENGES FOR USING RPA
DATA SECURITY
TECHNICAL ISSUES
SYSTEM CHANGE
PROCESS SELECTION
EMPLOYEE MORALE
3.7 BUILDING AN EFFECTIVE RPA STRATEGY
RPA SUCCESS FACTORS
DEVELOPING AN RPA SOLUTION
EXPERIMENTING WITH RPA
IMPLEMENTATION AND BUILDING TO RPA MATURITY
PART C: ARTIFICIAL INTELLIGENCE
3.8 THE BASICS OF AI
HOW DOES AI WORK?
A BRIEF HISTORY OF AI
AI ENABLERS
TYPES OF AI
3.9 BENEFITS OF AI
AI IN FINANCE AND BUSINESS
3.10 RISKS AND CHALLENGES FOR USING AI
AI RISKS
DATA CHALLENGES
MANAGING RISKS AND CHALLENGES WHEN
IMPLEMENTING AI
3.11 BUILDING AN EFFECTIVE AI STRATEGY
ALIGNING AI STRATEGY AND BUSINESS STRATEGY
PART D: MACHINE LEARNING
3.12 THE BASICS OF ML
HOW DOES ML WORK?
TYPES OF ML
3.13 BENEFITS OF ML
ML IN FINANCE AND BUSINESS
3.14 RISKS AND CHALLENGES FOR USING ML
3.15 BUILDING AN EFFECTIVE ML STRATEGY
INCORPORATING ML INTO THE AI STRATEGY
A STRATEGY FOR SCALABILITY
PART E: VALUE OF TECHNOLOGIES
3.16 CHOOSING THE BEST TECHNOLOGY
3.17 RESHAPING FOR AN AUTOMATED FUTURE
ELEMENTS OF A DIGITAL TRANSFORMATION STRATEGY
VALUE CREATION USING AUTOMATION
GOVERNANCE, RISK AND COMPLIANCE CHALLENGES
OF AUTOMATION
ETHICAL CONSIDERATIONS
PREPARING FOR AN AUTOMATED FUTURE
3.18 CASE STUDY