Objectives of the training
Understand concepts related to artificial intelligence in order to be able to seize opportunities that AI provides for your business.Targeted audience
Managers, project heads, accountants, engineers and stakeholders.Prerequisite
None.Trainers
Course architecture
- 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
- Analyze software infrastructure, database, processes...
- Identify the pre-requisites to embark on AI (data, company culture, projects with fast ROI...
- Definitions
- Machine Learning
Supervised learning
Unsupervised learning
Reinforcement learning
- Deep Learning
Deep Neural Network
- Which approach to choose according to the context
- 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.
Training Notes
The training sessions last from 1:00 PM to 4:00 PM.
Private or personalized training
If you have more than 8 people to sign up for a particular course, it can be delivered as a private session right at your offices. Contact us for more details.
Request a quotePrivate or personalized training
If you have more than 8 people to sign up for a particular course, it can be delivered as a private session right at your offices. Contact us for more details.
Request a quote