Unit 1 Flashcards
The definition of BPA
It is the use of technology to AUTOMATE REPETITIVE manual tasks and streamline business processes
What are the goals of BPA?
- Improve efficiency
- Reduce human error
- Cut costs
- Give more time to employees to focus more on strategic and creative tasks
Give 6 examples of BPA applications
- Workflow Automation
- Document Management
- Customer Service Automation
- Data entry n processing
- Financial processors
- Supply Chain Management
Give 3 key trends to BPA in Human Resource
Recruitment and onboarding
Off-boarding processes
Training and Development
Give 3 trends of BPA in Financial Sector
Loan Processing
Customer Service and support
Risk management and compliance
What other BPA applications are there other than HR and Finance?
- Legal and Compliance
- Marketing
- Healthcare services
- Manufacturing
What is cognitive automation
It is the subset of AI that combines elements of robotic process automation with cognitive technologies such as NLP (Natural Language Processing), Machine Learning, and Computer Vision
How is cognitive automation different from traditional automation?
Cognitive automation mimics human cognitive functions to perform tasks including understanding unstructured data, making judgments and learning from experience.
Whereas traditional automation focuses on ruled-based and automating repetitive tasks
What are the 3 key characteristics of cognitive automation?
- Natural Learning Processing (NLP)
- Machine Learning
- Computer vision
What are the cognitive automation applications for Finance?
Automatic fraud detection, risk assessment and investment analysis
What are the cognitive automation applications for HR?
Automate resume screening, candidate matching, employee performance analysis
How is AI different from Machine Learning?
AI is the ability of a machine to imitate intelligent human behaviour, whereas machine learning is a category of AI that uses data to continue learning without being specially programmed
What are the key characteristics shared by AI n ML?
- Automated Data Analysis
- Predictive Modeling
- NLP (Natural Learning Processing)
What are 2 applications of AI in HR and Finance sector?
- Fraud Detection and Protection
- Compliance and regulatory reporting
List 4 benefits of AI
- Automate repetitive tasks
- Improved efficiency and productivity
- Increase in accuracy & speed in decision making
- Cost savings
Define RPA
It involves using software programming in robotic applications to undertake operational, repetitive, and manual tasks
What are the benefits of RPA?
- Cost savings and efficiency gains
- Accuracy and Consistency
- Flexibility and Scalability
What are the disadvantages of RPA?
- Not capable of addressing root cause of process inefficiency
- A need to reprogram to perform new tasks
- The value of RPA decreases as AI is more dominant nowadays
List the differences between AI and RPA
AI : Have hardware and software bots
RPA: Have software computer programs only
AI: Is able to learn on their own
RPA: Unable to learn on its own, needing human intervention to reprogram new tasks
What are the 4 aspects of business operations
- Administrative
- Analytics
- Customer Service
- Data Capturing
What is involved in the digital transformation element of people?
- Developing digital skills
- Encouraging a culture of innovation
- Building strong leadership
What is involved in the digital transformation element of process?
- Streamlining processes
- Improving data management
- Enhancing collaboration
What is involved in the digital transformation element of platform?
- Selecting the right technologies
- Implementing and managing technologies
- Utilising technology to enhance capabilities
What are the 6 steps of before starting BPA?
- Identify the problem statement
- Map the AI-IS
3: Reimagining TO-BE - Design and build
- Document and Communicate
- Monitor and improve
What are the risks involved in RPA?
- Engagement of inappropriate automation vendors & AI tools
- Business failure
- Poor process and automation
What are the solutions to the risks of RPA
- Automation should never be a substitute for business knowledge
- Automation initiatives should be carefully planned and involved all stakeholders
- Automation should not be hidden (automation should be learned)