The impact of AI in manufacturing processes: what is the best approach?

Confindustria Vicenza promotes a free in-person event dedicated toartificial intelligence in the manufacturing sector and how the technological changes brought by AI and technologies will impact generative neural networks In the manufacturingIn the B2Band in cognitive processes Of research and development.

This is a particularly crucial topic for SMEswhich have different resources than large businesses and multinationals, because it will illustrate how artificial intelligence can increase operational efficiency and increase productivity average. Insights into practical AI applications and implementation strategies will provide these businesses with insights new instruments, with reduced out-of-pocket coststo compete in international markets, guaranteeing them a competitive advantage essential for growing in a technologically advanced market.

The event will be held Tuesday 21 May, from 4.00pm to 6.00pmat Palazzo Bonin Longare (Corso Palladio, 13, Vicenza).

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Read the detailed program of the event below.

They introduce:

Filippo MiolaVice President of Confindustria Vicenza with responsibility for digitalisation

Nicole TassottiPresident of the Small Business Committee

They will speak:

Alessandro Mininno, CEO of Gummy Industries with 10 years of digital experience.

Luca De Fino, expert in digital strategies and business transformation and growth through digital innovations.

EVENT PROGRAM

1. Demystifying AI
   Let’s start with an approach that clarifies what AI is not, to dispel common myths and correct misconceptions. We will continue with a precise definition of AI and illustrate its significant impact along the entire value chain.
2. AI in the manufacturing context
   Presenting a concise overview of the use of AI in the manufacturing sector, with a focus on recent data and emerging trends that outline the growing role of AI.
3. AI for operational excellence
   Insight into how AI transforms business operations through “data intensity”. We will examine the use of AI in five key areas of operations: procurement, production, warehousing, sorting and delivery.
4. AI support for business decisions
   Definition of methodologies to evaluate an organization’s maturity in adopting AI-based solutions. Presentation of a model for continuous improvement covering different dimensions: strategy, technology, processes, people and governance.
5. Strategic planning for AI initiatives
   Discussion of essential questions to consider before undertaking an AI project, ensuring decisions are informed and strategically sound.
6. Relevant case studies
   Analysis of a couple of selected case studies demonstrating the effective application and benefits of AI. These examples will serve to illustrate concrete successes and stimulate critical reflection on potential implementations.
7. AI and creative processes
   How machine learning can support and improve creative processes, even in the B2B sector. Analysis of the advertising creative process and example cases.
8. Advantages and limitations of GaN for image generation
   How image generation works and how it can support cognitive work
9. Limits and problems of AI systems
   What to watch out for in terms of copyright. How the concept of authenticity changes. How to prepare for a world where cultural artifacts are produced by a machine.

For information:

[email protected]

0444-232500

Photo by Austin Chan on Unsplash