Slides revision Flashcards
What is the main objective of Discover AI?
To help businesses rapidly identify, validate and prortitise opportunities for digital transformation and operational improvements.
What is PwC’s Discovery.Ai?
It is a productivity assessment platform that delivers data-led actionable insights across a business to identify bottlenecks and opportunities for efficiency and digital transformation.
How quickly does Discover AI delivery results?
It provides insights within 15 days through rapid data ingestion and analysis.
What is the key advantage of Discover Ai in terms of data usage?
It simplifies the use of client data by integrating it with industry practices to identify actionable insights. ( companies dont need to send a lot of time preparing data or figuring out how to interpret it, as Discover Ai can do that )
How does Discover.AI handle scalability?
Business can implement discovery AI across mutiple areas, such as Finance, HR with ease, allowing for a broad view of productivity across the organisation.
What types of insights does Discover AI provide?
It identifies productivity bottlenecks, highlights high cost areas, and helps align solutions with strategic business goals.
What visual tool does Discover AI use to present its findings?
A heatmap, which visually displays actionable insights and performance metrics.
Why is a tailored approach important in Discover AI implementation?
TO ensure the insights align with the organisations strategic goals and drive real business value.
What differentaties discover AI from other assessement tools?
Its time efficient, productivity focused, scalable, and leverages client data with industry best practices.
How does Discover AI support digitial transformation?
By identifying high-impact opportunities for automation, AI and operational optimisation in a short time frame.
What is the main purpose of the AI and Automation Continuum?
To guide businesses in adopting AI and automation solutions that align with their current technological maturity and complexity tolerance.
Why did PwC create this continuum?
PwC developed the continuum to help businesses navigate the complex landscape of AI and automation by offering a clear roadmap tailored to their techonological maturity and business goals.
What is the Generative AI value realisation flywheel?
This is a framework that organises the journey of adopting Generative AI into 5 stages, Value hypthoesis, Use case development, Patterns, Tooling and solutioning.
What does value hypthoesis and Use case development mean?
VH: This is where the business assess if generative AI is worth pursuing ( what problem does it solve, whats the benefits)
UCD: specific use case are developed.
What does Patterns and Tooling mean?
Patterns: Aligning patterns with what is seen with similar industries ( e.g. A retailer might use AI for both customer demand forecasting and inventory optimisations
Tooling: Developing and idenitfying the right rools to delploy your chosen AI solutions.
What is solutioning?
The actual solutions are delployed, and plug-ins are created to scale AI benefits across the organisations.
How does Discover AI fit int?
PwC’s discovery platform supports stages 2 and 3 ( Use and pattern development)
UC: uses your busienss data to identify these use cases quickly and validated which ones will have the biggest impact.
Patterns: PwC aligns your use cases with common patterns they have seen in similar industries.
What is the most important thing about Generative AI value realisation flywheel?
Discover AI helps business unlock full value of Generative AI, as the implementation can be overwhelming, hence the Generative AI value realisation flywheel will can help.
Does the Flywheel have more components?
Yes it has Adjacent scale, deploy and learn, cost and carbon evaluation and responsbile AI appraoch, which are more supporting elements.
What does slide 5 show?
Shows how PwC’s Discover AI generates critical insights from business data that help organisations make transformative changes and identify new opportunites for growth.
What does PwC offer?
PwC offers a 50 day process to help business quickly identifiy opporunties for Ai, validate the value and implement scalable solutions.
What is the 5 step process of PwC’s offer?
1) Inspire ( 2 hours ) - understanding cluent strategic prortities, and wherer AI can impat
2) Discover ( 15 days ) use Discovery AI tool to analyse data and uncover insights to protirise the most impactful use cases
3) Validate ( 5 days ) - confirm the feasbility and alignment of the priortised AI use cases with the client’s goals and capabilities.
4) Proof of Value ( 5 days) Build a working demonstration of the selected AI solution to showcase their potential value.
5) Implement ( 3-6 weeks or more ) Delploy the validated AI solutions into clients operations and scale them across the organisation.
What is the differnece between 15 and 50 days?
15 -day timeframe refers to how quickly Discover AI can generate insights.
50-day timeframe includes the entire project lifecycle.
How many steps is Discover AI streamlined into?
- Data collection
Data Extraction
Data Analysis
Heat Map visualisation
What is Data collection and Extraction?
DC: Data ingestion ( collecting, importing and preparing raw data from various sources so it can be used for analysis)
DE: Transformating the data into a structured dataset that can be analysed efficiently (ETL - extract, transform and Load )
What Case study can we use?
PwC’s discover AI helped a Japenese bank through a 15 day data led discovery phase and a 10 week implementation. The bank faced challenges such as a lack of KPI measurement, disconnected systems and compliance issues. Discover AI quickly delivered actionable insights and protieised use cases, which were redined in a workshop with senior leadership. As a result, PwC implemented an AI solution that streamlined payment investigations, saving time and reducing costs, while setting the foundation for ongoing process optimisation and innovation.
