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Digital Transformation Training

Knowing, to govern digital transformation

1 | 2 | July 3, 2021

Artificial Intelligence & Machine Learning

After the success of the first edition in September 2020, the SMACT intensive program is back in attendance.

 

When : Thursday 1st, Friday 2nd, Saturday 3rd July

Where : in the spacious Portogruaro Campus , with the highest safety standards

 

Artificial Intelligence impacts many of the business activities from production to Human Resources, from the Supply Chain to business models.

 

Discover the applications for your company through laboratory, coaching and networking experiences, with excellent academics and innovative companies.

 

The icebreaking, team building and coaching activities will be carried out by Luca Di Lenna.

 

Graduated in Business Administration, he worked as a consultant in Galgano & Associati and in the Human Resources Department in companies such as Aprilia, Luxottica and Emerson. He is Director of Performando , where he deals with managerial training, organizational consultancy, experiential training and business coaching for national and multinational companies and for public administration entities.

Quando: giovedì 1 e venerdì 2 dicembre 2022

Dove: nella accogliente Casa per Ferie di Cortina, con i più alti standard di sicurezza

A chi è rivolto: Manager, imprenditori e professionisti che hanno maturato la propria esperienza in un mondo proto-digitale e che oggi sono chiamati a scoprire quali sono i contenuti che stanno dietro agli «slogan» dell'industria 4.0. L’evento è dedicato a chi desidera acquisire strumenti di analisi per compiere scelte aziendali consapevoli.

Portogruaro Campus

The program:

Thursday, 07/01/21

 

11.00 Arrival and registration

 

12.30 Buffet lunch on campus

 

13.30 Start of work and institutional greetings

 

  • Fabrizio Dughiero , President of SMACT

  • Matteo Faggin , General Manager of SMACT

  • Massimo Forliti , Portogruaro Campus Foundation

 

14.00 Icebreaking | Coaching Experience | Andrea Di Lenna

 

14.30 MODULE 1 : Introduction to AI and ML

 

  • Prof. Giuseppe Serra , UNIUD

  • Prof. Carlo Passo , UNIUD

 

16.30 Coffee Break

 

17.00 MODULE 2 : AI and HR: the future of human capital

 

  • Prof. Paolo Giubitta , UNIUD

  • HUMAN

 

20.00 networking dinner

 

21.00 Team building | Coaching Experience | Andrea Di Lenna

02:07:21 Friday

 

09.00 MODULE 3 : Artificial Intelligence at the service of business

 

  • Prof. Marco Roveri , UNITN

  • TIM

 

10.30 Coffee Break

 

11.00 MODULE 4 : AI and ML for the Supply Chain

 

  • Prof. Andrea Albarelli , UNIVE

  • PAM Group

 

12.30 Lunch on campus

 

14.00 MODULE 5 : Experience Lab | AI applied to production

 

  • Smart Mini Factory , UNIBZ

  • Smart Data Factory , UNIBZ

  • 221e

 

20.00 Dinner with a view immersed in the Venetian coastal landscape

31%

Almost a third of manufacturing cannot define the timing for a digital investment in their companies, noting that managers should be able to guide the digital transition efforts.

 

SOURCE: GARTNER TREND INSIGHT REPORT 2018

34%

In a survey proposed to SMEs, one third of the sample replied that the biggest challenge to implementing Industry 4.0 lies in finding competent staff.

 

SOURCE: SME'S MANUFACTURING IN THE NEW
INDUSTRY 4.0 WAS SURVEY

50%

Half of the companies believe that in the near future they will suffer from a lack of Artificial Intelligence (AI) skills to enable it of general value.

 

SOURCE: GARTNER TREND INSIGHT REPORT 2018

Managers, Entrepreneurs, Professionals

They have gained their experience in a proto-digital world, today they have to understand the contents behind the "slogans" of industry 4.0, acquire analysis tools to inform company choices by learning from the experiences already gained.


Digital transformation training condenses the skills and experiences of excellent academics and established entrepreneurs on a vertical theme into short training modules, offering participants elements of understanding and analysis, as well as practical application cases.

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Knowing to govern the digital transition
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