THE HARD PATH FOR THE TECHNOLOGICAL TRANSFORMATION
Syllabus
Updated A.Y. 2025-2026
- Digital Transformation Management
- Business Process Management
- Event: SAP Signavio
- Comprehensive IT infrastructure (Cloud, Mobile)
- Approach to Generative Artificial Intelligence and business case
Updated A.Y. 2025-2026
- Digital Transformation Management
- Business Process Management
- Event: SAP Signavio
- Comprehensive IT infrastructure (Cloud, Mobile)
- Approach to Generative Artificial Intelligence and business case
Obiettivi Formativi
CONOSCENZA E CAPACITÀ DI COMPRENSIONE: Abilitá nella comprensione ed analisi degli argomenti rilevanti
CAPACITÀ DI APPLICARE CONOSCENZA E COMPRENSIONE: Abilitá nel raccogliere le informazioni degli argomenti trattati per riconoscere il fenomeno in oggetto fuori dal contesto didattico.
AUTONOMIA DI GIUDIZIO: Abilitá nella raccolta ed analisi critica degli argomenti rilevanti rispetto al contesto attuale
ABILITÀ COMUNICATIVE: Abilitá di trattare gli argomenti in oggetto con un pubblico non specialista.
CAPACITÀ DI APPRENDIMENTO: Abilitá nel partire dagli argomenti trattati per ulteriori approfondimenti
Learning Objectives
KNOWLEDGE AND UNDERSTANDING: Understanding and analysis regarding the relevant topics
APPLYING KNOWLEDGE AND UNDERSTANDING: Collecting relevant information about the topics in object to recognize the same one out of the learning environment.
MAKING JUDGEMENTS: Critical understanding about the relevant topics in nowadays context
COMMUNICATION SKILLS: Communications capabilities about the topics in objects to be shared with a no professional audience.
LEARNING SKILLS: Using the relevant topics as a baseline for further insights
Prerequisiti
Prerequisites
Programma
What is Digital Transformation? (2h)
Cloud Computing (2h)
Big Data and Analytics (2h)
Internet of Things (IoT) (2h)
Artificial Intelligence (AI) and Machine Learning (2h)
Agile Methods (1h)
DevOps (1h)
Blockchain and Distributed Ledger Technology (DLT) (1h)
Robotic Process Automation (RPA) (1h)
Digital Workforce and Remote Collaboration (1h)
5G and Edge Computing (2h)
Digital Twin (1h)
Program
What is Digital Transformation? (2h)
Cloud Computing (2h)
Big Data and Analytics (2h)
Internet of Things (IoT) (2h)
Artificial Intelligence (AI) and Machine Learning (2h)
Agile Methods (1h)
DevOps (1h)
Blockchain and Distributed Ledger Technology (DLT) (1h)
Robotic Process Automation (RPA) (1h)
Digital Workforce and Remote Collaboration (1h)
5G and Edge Computing (2h)
Digital Twin (1h)
Testi Adottati
Books
Bibliografia
Bibliography
Modalità di svolgimento
Le lezione saranno frontali ed interattive, con contributi media e video.
Teaching methods
They will be lectures and interactive, with media and video contents.
Regolamento Esame
valuteranno l'apprendimento tra:
- Conoscenza generale;
- Campi di applicazione;
- Prospettive future.
Criteri di valutazione:
1-17: non idoneo
18-30: idoneo
Exam Rules
- General understanding;
- Application fields;
- Future prospectives.
Evaluation criterias:
1-17: non suitable
18-30: suitable
Modalità di frequenza
Attendance Rules
Obiettivi Formativi
CONOSCENZA E CAPACITÀ DI COMPRENSIONE: Abilitá nella comprensione ed analisi degli argomenti rilevanti
CAPACITÀ DI APPLICARE CONOSCENZA E COMPRENSIONE: Abilitá nel raccogliere le informazioni degli argomenti trattati per riconoscere il fenomeno in oggetto fuori dal contesto didattico.
AUTONOMIA DI GIUDIZIO: Abilitá nella raccolta ed analisi critica degli argomenti rilevanti rispetto al contesto attuale
ABILITÀ COMUNICATIVE: Abilitá di trattare gli argomenti in oggetto con un pubblico non specialista.
CAPACITÀ DI APPRENDIMENTO: Abilitá nel partire dagli argomenti trattati per ulteriori approfondimenti
Learning Objectives
KNOWLEDGE AND UNDERSTANDING: Understanding and analysis regarding the relevant topics
APPLYING KNOWLEDGE AND UNDERSTANDING: Collecting relevant information about the topics in object to recognize the same one out of the learning environment.
MAKING JUDGEMENTS: Critical understanding about the relevant topics in nowadays context
COMMUNICATION SKILLS: Communications capabilities about the topics in objects to be shared with a no professional audience.
LEARNING SKILLS: Using the relevant topics as a baseline for further insights
Prerequisiti
Prerequisites
Programma
What is Digital Transformation?
Cloud Computing
Big Data and Analytics
Internet of Things (IoT)
Artificial Intelligence (AI) and Machine Learning
Agile Methods
DevOps
Blockchain and Distributed Ledger Technology (DLT)
Robotic Process Automation (RPA)
Digital Workforce and Remote Collaboration
5G and Edge Computing
Digital Twin
Program
What is Digital Transformation?
Cloud Computing
Big Data and Analytics
Internet of Things (IoT)
Artificial Intelligence (AI) and Machine Learning
Agile Methods
DevOps
Blockchain and Distributed Ledger Technology (DLT)
Robotic Process Automation (RPA)
Digital Workforce and Remote Collaboration
5G and Edge Computing
Digital Twin
Testi Adottati
Books
Bibliografia
Bibliography
Modalità di svolgimento
Teaching methods
They will be lectures and interactive, with media and video contents.
Regolamento Esame
valuteranno l'apprendimento tra:
- Conoscenza generale;
- Campi di applicazione;
- Prospettive future.
Criteri di valutazione:
1-17: non idoneo
18-30: idoneo
Exam Rules
- General understanding;
- Application fields;
- Future prospectives.
Evaluation criterias:
1-17: non suitable
18-30: suitable
Modalità di frequenza
Attendance Rules
Updated A.Y. 2022-2023
In a world where the technology innovation runs as never saw before, having tools able to understand wich drivers, actors and processes are involved, is the right choice to lead the change and not suffer it.
The goal of this course is talking about the main topics that are characterizing the digital and technological trasformation of the companies, as the data anlysis,teh artificial intelligence and the machine learning, also understanding the business area directly involved as for example the project management and the gamification.
The speakers chosen to talk about of this topics are person who come from the companies world, more specificly from companies part of Philmark Group (click on the link if you want to know more) and they're exeperiencing in first person this in progress digital revolution.
Below the couse program divided per macro topics:
Business intelligence & Analytics
Speaker: Andrea Schiavi (Senior Business Analyst of Kalyte) - Linkedin Profile
Business Intelligence Market Overview
Architectural Framework
Data Design
Data Integration Design
Business Intelligence Design
Advanced Final Output
KPI Metricks and Dashboard
Tableau for the data visualization: an overview
Artificial Intelligence and Machine Learning for Business
Speaker: Adriana Fidanza (Data Scientiest of Kalyte)
What is Artificial Intelligence (AI)?
Introduction to Machine Learning (ML)
What AI&ML can do right now
What AI&ML will change
Workshop (how computer actually learns!)
Project Management
Speaker: Cecilia Buzzi (Project Manager of Philmark Informatica)
Project Management - Introduction, Concepts & Frameworks
Organization, People & Communication
Planning & Managing Work
Planning & Managing Time
Planning & Managing Cost
Risk Management
Change Request Management
Project Closure
Use Cases
Web applications in business environment
Speaker: Giulia Zinanni (Front-end developer of Philmark Games)
Intro / Definition of Digital Transformation
Benefits and drawbacks of DT
Change Management
KPIs
The role of Web Applications
Case study
Customer Experience Management
Future targets
Conclusions
Updated A.Y. 2022-2023
In a world where the technology innovation runs as never saw before, having tools able to understand wich drivers, actors and processes are involved, is the right choice to lead the change and not suffer it.
The goal of this course is talking about the main topics that are characterizing the digital and technological trasformation of the companies, as the data anlysis,teh artificial intelligence and the machine learning, also understanding the business area directly involved as for example the project management and the gamification.
The speakers chosen to talk about of this topics are person who come from the companies world, more specificly from companies part of Philmark Group (click on the link if you want to know more) and they're exeperiencing in first person this in progress digital revolution.
Below the couse program divided per macro topics:
Business intelligence & Analytics
Speaker: Andrea Schiavi (Senior Business Analyst of Kalyte) - Linkedin Profile
Business Intelligence Market Overview
Architectural Framework
Data Design
Data Integration Design
Business Intelligence Design
Advanced Final Output
KPI Metricks and Dashboard
Tableau for the data visualization: an overview
Artificial Intelligence and Machine Learning for Business
Speaker: Adriana Fidanza (Data Scientiest of Kalyte)
What is Artificial Intelligence (AI)?
Introduction to Machine Learning (ML)
What AI&ML can do right now
What AI&ML will change
Workshop (how computer actually learns!)
Project Management
Speaker: Cecilia Buzzi (Project Manager of Philmark Informatica)
Project Management - Introduction, Concepts & Frameworks
Organization, People & Communication
Planning & Managing Work
Planning & Managing Time
Planning & Managing Cost
Risk Management
Change Request Management
Project Closure
Use Cases
Web applications in business environment
Speaker: Giulia Zinanni (Front-end developer of Philmark Games)
Intro / Definition of Digital Transformation
Benefits and drawbacks of DT
Change Management
KPIs
The role of Web Applications
Case study
Customer Experience Management
Future targets
Conclusions
Updated A.Y. 2021-2022
In un mondo in cui l'innovazione tecnologica corre a ritmi mai visti prima, avere gli strumenti per capire quali sono i drivers, gli attori
e i processi coinvolti è la mossa migliore per cavalcare il cambiamento e non subirlo.
Il corso ha come obiettivo quello di affrontare gli argomenti principali che caratterizzano la trasformazione digitale e tecnologica
delle aziende, come l'analisi dati, l'intelligenza artificiale e il machine learning e comprendere le aree di business direttamente coinvolte come
il project management e la gamification.
I relatori scelti per parlare di questi argomenti sono persone che vengono dal mondo delle aziende, più precisamente da aziende che fanno capo a Philmark Group (clicca il link se vuoi saperne di più) e che stanno vivendo in prima persona
la "rivoluzione" digitale in corso.
Di seguito il programma del seminario ripartito per argomento:
Business intelligence & Analytics
Speaker: Andrea Schiavi (Senior Business Analyst di Kalyte) - Profilo Linkedin
- Business Intelligence Market Overview
- Architectural Framework
- Data Design
- Data Integration Design
- Business Intelligence Design
- Advanced Final Output
- KPI Metricks and Dashboard
- Tableau for the data visualization: an overview
Artificial Intelligence and Machine Learning for Business
Speaker: Andrea Lionetto (Lead Data Scientiest di Kalyte) - Profilo Linkedin
- What is Artificial Intelligence (AI)?
- Introduction to Machine Learning (ML)
- What AI&ML can do right now
- What AI&ML will change
- Workshop (how computer actually learns!)
Project Management
Speaker: Paolo Cricchio (Project Manager di Philmark Informatica) - Profilo Linkedin
- Project Management - Introduction, Concepts & Frameworks
- Organization, People & Communication
- Planning & Managing Work
- Planning & Managing Time
- Planning & Managing Cost
- Risk Management
- Change Request Management
- Project Closure
- Use Cases
Gamification
Speaker: Alessandro Marinucci (Game Producer di Philmark Games) - Profilo Linkedin
- Intro
- Gamification history
- Areas of interest
- KPI and stats
- New Eden - Business case
- Applied Science
- Game Design
- Workshop
- SWOT analysis and Conclusions
Updated A.Y. 2021-2022
In a world where the technology innovation runs as never saw before, having tools able to understand wich drivers, actors and processes are involved, is the right choice to lead the change and not suffer it.
The goal of this course is talking about the main topics that are characterizing the digital and technological trasformation of the companies, as the data anlysis,teh artificial intelligence and the machine learning, also understanding the business area directly involved as for example the project management and the gamification.
The speakers chosen to talk about of this topics are person who come from the companies world, more specificly from companies part of Philmark Group (click on the link if you want to know more) and they're exeperiencing in first person this in progress digital revolution.
Below the couse program divided per macro topics:
Business intelligence & Analytics
Speaker: Andrea Schiavi (Senior Business Analyst of Kalyte) - Linkedin Profile
- Business Intelligence Market Overview
- Architectural Framework
- Data Design
- Data Integration Design
- Business Intelligence Design
- Advanced Final Output
- KPI Metricks and Dashboard
- Tableau for the data visualization: an overview
Artificial Intelligence and Machine Learning for Business
Speaker: Andrea Lionetto (Lead Data Scientiest of Kalyte) - Linkedin Profile
- What is Artificial Intelligence (AI)?
- Introduction to Machine Learning (ML)
- What AI&ML can do right now
- What AI&ML will change
- Workshop (how computer actually learns!)
Project Management
Speaker: Paolo Cricchio (Project Manager of Philmark Informatica) - Linkedin Profile
- Project Management - Introduction, Concepts & Frameworks
- Organization, People & Communication
- Planning & Managing Work
- Planning & Managing Time
- Planning & Managing Cost
- Risk Management
- Change Request Management
- Project Closure
- Use Cases
Gamification
Speaker: Alessandro Marinucci (Game Producer of Philmark Games) - Linkedin Profile
- Intro
- Gamification history
- Areas of interest
- KPI and stats
- New Eden - Business case
- Applied Science
- Game Design
- Workshop
- SWOT analysis and Conclusions