Program on Artificial Intelligence for Executives

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Program on Artificial Intelligence for Executives

MODALITY:Online

STARTS:February

DURATION:4 weeks – 60 hours

Data is at the center of the great transformations that digital technologies are causing in today's world. That is why in the last decade we have seen the rapid rise of companies that have focused their business model on the value of data. Artificial Intelligence is one of the fastest developing technologies in the world, in part thanks to the vast proliferation of data. It is transforming society and our quality of life.

Some studies predict that AI could add around €14 trillion to the global economy by 2030, and double economic growth rates by 2035. Today's leaders need the knowledge and confidence to ensure that their organizations are prepared to capitalize on the opportunities offered by Artificial Intelligence, through the direct and indirect impact on employees, customers and the business ecosystem, successfully incorporating it into their main strategic lines.

This program is designed for company executives who want to understand the fundamental concepts of Artificial Intelligence and be able to implement machine learning technology in their business processes. Candidates will be able to acquire the knowledge and analytical skills necessary to lead an organization powered by Artificial Intelligence. Through the most recent advances in computer science and management, we will explore successful use cases, transforming complex business problems into business value and relevant information for decision making.

Objectives

Demystify the use of Artificial Intelligence.
Learn how to turn data into actionable insights through the latest advances in AI.
Learn to implement innovation processes through Artificial Intelligence in your business in a successful way.

Competences

Through this program, participants will be able to:

Know the main AI tools that leading companies use today (and in the future).
Discover the techniques and tools for effective AI design in their company and products.
Know the types of AI and how they can generate value through data.
Identify AI-based opportunities with the potential to transform the business.
Determine the data needs in their company.
Establish best practices to capitalize on opportunities and capture value through Artificial Intelligence.
Evaluate the risks (ethical, data protection...) associated with the implementation of AI projects.
Know how AI can solve complex business problems through different use cases (Banking, Energy, Healthcare, Retail, Transportation, Public Administrations and many others).
Establish the appropriate guidelines to make AI operational in their organization and products.
Identify the organizational models that favor a culture based on data and streamline development processes with the latest methodologies.
Understand the impact of AI on business, employees and products.

Presentations

Conference 1: Identifying Fraudulent Activities Using Unusual Payment Transaction Patterns and Other Data (Financial Services)
Conference 2: Identify the Next Best Offer in the Customer Journey to Drive Desired Behavior (Consumer Goods)
Conference 3: Optimization of traffic/passenger flow through visual data including videos and images (Transport)
Conference 4: Detect Defects and Quality Issues During Production Using Visual and Other Data (Industry)
Conference 5: Diagnosis of known diseases from scans, images, biopsies, audio and other data (Healthcare)

Course program

Module 1. Discovering AI: Opportunities, Challenges and Design Strategies

What is AI and what can it do for you? Discover how artificial intelligence can empower people, products and business decision making. Learn what AI can (and can't) help you solve, and how AI helps you design the best solutions for your organization.

Basic concepts of AI operation
Top leading approaches that can be achieved
Knowledge of the tools and techniques for the design of AI in your products and decision making
Learning the artificial intelligence technologies that leading companies use today and in the future
Ethics in artificial intelligence: risks and challenges

Module 2. Application of AI to real-life organizational problems

Discover how sophisticated data and artificial intelligence capabilities can be used in different areas (product, marketing, operations) to solve business and financial problems.

How can you identify business problems and challenges that AI can solve?
Knowledge of the capabilities, limitations and challenges of AI within the business
How a leader can make AI operate in product development, people management, and financial decisions?
Discovery of the main AI use cases that are transforming businesses, as an example (top 3 by sector)

Basic materials

Predict commodity price patterns based on satellite data (or similar visuals)
Predict agricultural yields from data sets including site images and IoT sensor scans
Predict the risk of animal health problems by analyzing audio patterns

Financial Services

Customer churn prediction
CIdentification of fraudulent activities using unusual payment transaction patterns and other data
CImprove life insurance by predicting lifestyle risks based on habits identified on social media
CImprove administrative productivity with robotic process automation
CConsumer goods and services sector
COffer a "digital human" conversation interface with customers in physical locations
CProposal of new store locations
CIdentify the next best offer in the customer journey to drive desired behavior
COptimize the variety of products in the store to maximize sales

Energy

Predict energy demand trends based on data sources ranging from sensors to social media
Predict problems and recommend proactive maintenance for mining, drilling and support equipment

Healthcare

Predicting the risk of developing a disease at an early stage
Improve the surgical skills of doctors with robotics
Diagnosis of known diseases from scans, images, biopsies, audio, and other data
Identify patterns of fraud, spending and abuse from clinical and operational data

Industry

Improve the quality of the construction process by detecting errors
Automate aircraft piloting
Detect defects and quality problems during production using visual and other data
Predict future demand trends and potential supply chain constraints

Telecommunications

Optimize network resource allocation based on real-time and predictive load analysis
Predict regional demand trends for telecommunications traffic
Secure communications through the deployment of cryptographic technology

Transportation

Automation of customer service interruption alerts
Traffic/passenger flow optimization through visual data, including video and images
Personalization of loyalty programs and promotional offers for individual customers

Public sector

Predict the probability of traffic accidents or queues and optimize the traffic system to reduce risk
Detect potentially fraudulent users
Optimize the allocation of public resources for urban development to improve the quality of life
Predict macroeconomic variables based on government, private and public data

Utilities

Power plant energy management and scheduling optimization based on energy prices, weather, and other real-time data
Optimization of energy prices and systems for recommending offers to customers
Smart home devices that manage consumers' energy consumption

Module 3. AI in the company: transforming your business

¿Cómo puede preparar su negocio para una transformación exitosa de inteligencia artificial? La construcción de una organización data-driven requiere de una transformación cultural y tecnológica. How can you prepare your business for a successful AI transformation? Building a data-driven organization requires a cultural and technological transformation.

Learning organizational designs that enable the development and implementation of successful AI initiatives, from data infrastructure or algorithmic fluency to driving a data-driven culture
How does AI impact workers? How are roles defined? How is talent promoted?
Discovery of best practices in project selection, team building and execution

Professors

Jesus Manuel Ruiz Data scientist Minsait by Indra
Director académico y Profesor Data scientist Minsait by Indra
Academic Director and Professor

Javier Oliver Moll CEO at Tyris Software CEO at Tyris Software

David Monzó Ferrer CTO at Tyris AI CTO at Tyris AI

Summary of the Program on Artificial Intelligence for Executives