Curso de Inteligencia Artificial aplicada a la toma de decisiones de compras

Program Overview

The semi-presential format combines in-person sessions with online learning, covering topics such as AI applications in purchasing, data governance, segmentation, and AI implementation guidelines. The program aims to enhance participants' skills and knowledge to drive efficiency, effectiveness, and profitability in purchasing processes.

Program Outline

Degree Overview:

The program, "Inteligencia Artificial aplicada a la toma de decisiones de compras" (Artificial Intelligence Applied to Purchasing Decision-Making), is a one-week, semi-presential program offered by IQS Executive. It aims to equip participants with the skills and knowledge to leverage AI in purchasing processes, enhancing efficiency, effectiveness, and data-driven decision-making.

Key Objectives:

• Automate tasks: The program will teach participants how to automate repetitive and time-consuming tasks in purchasing, such as supplier search, price comparison, and contract management.
This frees up professionals to focus on strategic tasks.

Outline:

Program Structure:

• Duration: 1 week
• Format: 66% in-person, 33% online
• Hours: 12 hours
• Location: Madrid

Modules:

• Applications and Opportunities of AI in Purchasing:
• Covers topics like:
• Expense management
• Supplier management
• Capability matching
• Supplier risk management
• Efficiency monitoring and tracking
• Task automation
• Pricing and market analysis
• Analysis and predictions
• Cost modeling
• Risk analysis
• Price analysis
• Negotiation and advice on awards
• IT Architecture and Data Governance in Purchasing:
• Focuses on:
• Types of data in the purchasing area
• Business Intelligence (BI) engines
• Data loading
• Establishing data links
• Individual views
• Interactive visual dashboards
• Practical Cases of Data Grouping:
• Explores clustering/segmentation of elements (customers, products, suppliers) based on descriptive variables or criteria to identify homogeneous but distinct groups.
• Practical Cases of Prediction and Classification:
• Presents a case requiring prediction of a set of values (price, stock) based on input data.
• Covers classification of customers, products, and suppliers based on categorical variables (VIP, normal, or risky customer; mature, promising, or star products/services).
• Guidelines for Applying AI in Purchasing:
• Identifies problems and opportunities where AI can generate value.

Teaching:

• Teaching Methods:
• The program utilizes a blended learning approach, combining in-person sessions on campus with synchronous online sessions via video conferencing.
• Online sessions are interactive and recorded for those who miss them.
• The program emphasizes practical application, aiming to directly impact participants' professional lives.
• Various dynamics are employed throughout the program to foster an effective, engaging, and practical learning process.
• Faculty:
• The program is led by Jordi Civit Garcés.
• Other professors include:
• Albert Fornells Herrera, PhD (Department of Quantitative Methods)
• Enric Almiñana Serra
• Enric Grau Codina

Other:

• Program Design:
• The semi-presential format is designed for flexibility, accommodating busy schedules.
• The program is awarded with an IQS Certificate of Achievement upon completion.
• Registration:
• Payment is made via bank transfer.
• Cancellation is possible up to 15 days before the program start date, with a full refund.
• IQS reserves the right to cancel or postpone the program if the minimum number of participants is not met.
• Financial Aid:
• Participants may be eligible for financial aid, depending on their circumstances.
• IQS offers payment plans with an initial deposit.
• IQS alumni receive special pricing.
• Company Discounts:
• Companies may be eligible for discounts based on factors such as:
• Being a member of the Fundació Empreses IQS.
• Having previously trained employees at IQS Executive Education.
• Registering multiple participants for the same program and edition.
• Fundae (Tripartita) Bonification:
• The program is eligible for bonification through Fundae.