What opportunities does artificial intelligence offer for your organization?
How to get value from your data within your organization effortlessly
- Take advantage of available but unused data to add value: identify trends, correlations, study internal and external data, combine historical data in real time.
- Types of data analysis:
Description
Diagnosis
Prediction
Prescription
- Structured data vs. unstructured data.
What are the advantages of unstructured data
- Accuracy of analysis
Improved customer experience and satisfaction
Increased efficiency and revenue
What is the first step in a digital transformation... before AI
- Analyze software infrastructure, database, processes...
- Identify the pre-requisites to embark on AI (data, company culture, projects with fast ROI...
What is machine learning and deeep learning
- Definitions
- Machine Learning
Supervised learning
Unsupervised learning
Reinforcement learning
- Deep Learning
Deep Neural Network
- Which approach to choose according to the context
What are the pitfalls to avoid and the steps to follow to implement an AI strategy
- Data analysis and identification of the problem to be solved
- Additional requirements and connection to other databases
- Labeling strategy
- Application on the data and adjustments
- Supervision strategy: from sandbox to production, monitoring and adjustments
How to identify a first AI project
- Identify data sources and their status
- Determine where to make the first gains, based on a maximizing gains and minimizing risks approach
- Establish next steps.