TS&A Applied Intelligence

Business Value

100

Value of data in just the US economy

What is north of $1.5 Trillion

200

Amount of data for each human being living in 2021

What is to 9.9TB per each human being living in 2021

300

Percentage of enterprise value locked up in data across industries

What is Gartner states that 20 to 25% of all enterprise value is in the data and this spans industries

400

Three ways that data helps you derive value

What is 

• Data helps you make better decisions faster
• Data helps you solve problems:
• Data helps you understand consumers: 
• Data helps you improve or change processes: 
• Data helps drive new business or new models for your current business

500

Three challenges to deriving value from data

What is 

• Having Data vs. Understanding It
• Lack of Data Skills
• Gaps in Decision Making
• Skills and Technologies go Hand-in-Hand

Offerings

100

Accenture Position in the Gartner Magic Quadrant for Data and Analytics Service Providers

What is #1

200

Three Accenture teams that serve clients for Data and AI

What is Applied Intelligence, TS&A, and Technology

300

Two TS&A Data and AI offerings

What is Value cases, diagnostics, hackathon, Enterprise Technology Blueprints for Data

400

Sales range that we have already sold for MW TS&A Data, AI and Architecture

What is $30M

500

Three MD leads for TS&A Data and AI

What is Ashish Vimal, Steve Poniatowski, Ethan Bischoff, Mike Eliason

Technology

100

Types of machine learning

What is 

• Supervised Learning.
• Unsupervised Learning.
• Reinforcement Learning. Hybrid Learning Problems.
• Semi-Supervised Learning.
• Self-Supervised Learning.
• Multi-Instance Learning. Statistical Inference.
• Inductive Learning.
• Deductive Inference.

200

Example of a modern data platform

What is any of the MAGS platform

300

Common languages for writing machine learning code

What is Python, R, Java, Spark

400

Two key AI-ML vendors for technology tools

What is AWS, Microsoft, Google Cloud, AliBaba, Salesforce, IBM, SAP, DataBricks, etc., etc.,etc. 

500

Key Tasks in AI-ML Lifecycle

What is Data Ingestion, Data Storage, Data processing and harmonization, model design, model design and standup, model training, scoring etc.

Key Clients

100

Largest MW client for Data and AI

What is McDonald's

200

Client issues that can benefit most from data, analytics and AI and examples

What is pretty much anything e.g. better insights, self service analytics, real-time visibility, customer insights and predictions, IoT, etc.

300

Three clients that we are currently working with on Data and AI projects

What is McDonald's, ADM, DOW, Walgreens, Nike, Walmart, Southern Wine and Glacier, DOW, Johnson and Johnson

400

Example of tremendous client value from very little investment

What is McD example or ADM example

500

Another example of tremendous client value

What is examples of ML algorithms at Meijer or any others