Course

What will you learn:

• Class 1 - Analytics Foundations - Alexandre Nicolau
• Class 2 - From IoT to Big Data - Gabriel Martins Dias
• Class 3 - Data Transformation, Strategy and Governance - Alexandre Del Rey
• Class 4 - Storytelling with Data - Alexandro Romeira

What will you learn:

• Cloud Computing Strategies and the evolution of computing systems (from monolithic to micro services) for cloud computing;
• Massive and Parallel Processing (MPP) and Realtime Processing;
• Big Data (concepts and approach to Value, Veracity, Variability, Speed and Volume);
• Analytics (Examples) and Models / Algorithms (churn).

What will you learn:

• What are IoT;
• Enabling technologies (5G, NFC, RFID, LoRA etc);
• Analytics Architecture: integrating IoT and Big Data;
• Data engineering: data storage, extraction, integration and cleaning;
• Security: hardware, software and data.

What will you learn:

• Synthetic and actionable strategies and information: Data, information and knowledge;
• Key business issues and sources of information;
• Business requirements x Information requirements;
• Data transformation and organizational strategy;
• Make or buy decisions;

What will you learn:

• 1) The digital Mindset: The 4th Revolution / What has changed? / Disruptors: the pillars of the new world / VUCA Leadership: Vision, Uniqueness, Clarity and Agility / Digital Transformations / The brave new world
• 2) The Digital Strategy: Uniqueness - My digital transformation strategy / What are the skills and mission of my business? / What are the new pains and needs of my segment and my customers? / The digital value chain: Visibility, Mirroring and Relationship / Clarity: What do I need to know to transform my business?
• 3) Digital assets: The digital toolbox / Artificial Intelligence Algorithms / Where to use digital assets: Machine Learning: Machine Learning / Natural Language Processing: NLP / Computer Vision / Virtual Assistants: Chatbots / Robotic Process Automation: RPA / AI Planning / Expert Systems
• 4) Digital initiatives: Technological Vision / Product Roadmaps / Project Portfolio and the Choice of Initiatives / Artificial Intelligence Projects: the CASEI method / The Algorithms supermarket / My first AI project

What will you learn:

• Psychological factors of the decision maker;
• The data telling a story (contextualization, elements and elimination of noise);
• Graphics and visualization;
• Viewers (Excel, PowerBI, Tableau, Qlik and others);
• From Powerpoint to Management Panels.

What will you learn:

• Lecture 1 - Artificial Intelligence shaping the future - Alexandre Del Rey
• Lecture 2 - Data Economics in the Era of Artificial Intelligence - Marcelo Coutinho
• Lecture 3 - How to stay competitive in a world of data and algorithms - Marco Lauria
• Lecture 4 - Practical applications of AI - Alexandro Romeira

What will you learn:

• Why Artificial Intelligence is so important in the business world;
• What are the main technologies related to Artificial Intelligence and how they work;
• Machine Learning, Deep Learning, RPA, Computer Vision, NPL, Simulation and Digital Twin;
• Get insights for your project with use cases and Artificial Intelligence applications.

What will you learn:

• Turning data into an asset;
• Value Function, Externalities and Network Effect;
• Cost Reduction, Revenue Creation, Risk Management: the value of information as a business tool;
• Price, Product, Platform;
• Information Economics and Artificial Intelligence.