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From research to industry, case studies and insights into the practical use of Explainable AI for product development and supply engineering
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Improve food development with AI
As we talked about how AI can be used to revolutionize cosmetic company in https://intellico.ai/blog/is-ai-a-game-changer-for-cosmetics-companies/, the food industry is no exception. By maximizing the amount...
Cut time-to-market: a case study on tender management in the manufacturing sector
Lead times make a difference, but compressing them is not easy In the context of contract manufacturing (Make-to-Order)...
GNN and Product Development: Intellico and the UniMI Department of Computer Science to the ECML PKDD 2024 Machine Learning Conference!
The event, that will be held in Vilnius (Lithuania) from September 9th to 13th 2024, is one of the most renowned European conferences dedicated to...
Power Prediction for Renewable Energy Plants: How AI Optimizes Energy Production
In today's context of increasing focus on environmental sustainability, the production of renewable energy has become a fundamental element. However, one of the main challenges....
Data Governance for Generative AI: the time is now
In the era of digital transformation, data has emerged as the lifeblood of businesses, fueling innovation, driving decision-making, and shaping strategies for growth. With the advent of Generative AI...
Graph Neural Networks and Explainable AI: what’s the value
In the realm of machine learning, one fascinating concept gaining traction is Graph Neural Networks (GNN). These techniques are attracting attention because of their ability to model and analyze relationships between data which makes them...
Why is Explainable AI important for companies?
In an era of unprecedented acceleration in the field of Artificial Intelligence, companies in every industry are discovering the transformative potential of AI. However, with the adoption of these advanced technologies, a fundamental challenge emerges: the need for transparency and understandability of algorithmic decisions. Explainable AI takes center stage in this discussion...
Faster and better: AI use cases for ETO/MTO companies
A recent analysis by the Observatory on Artificial Intelligence highlighted how the ageing of population will result in an unbalance between working and retired population in ten years. These figures suggest that an increase in productivity is not just a matter of competition, but also of survival for many companies. This is more relevant for companies delivering very specialized components, leveraging on high vertical skills of their technical teams built with years of experience on designs...
Transforming Customer Care with Generative AI
In today's competitive business environment, leveraging innovative technologies to enhance customer care is not just an option—it's a necessity. Generative AI stands at the forefront of this transformation, offering significant benefits, diverse applications, and strategic advantages, albeit with certain risks.
According to research by Osservatori Artificial Intelligence...
Embracing the Future: An Introduction to AI for Today’s Business
In recent years, the Artificial Intelligence (AI) market has shown exponential growth. According to a report by Precedence Research the global artificial intelligence (AI) market size was valued at USD 454.12 billion in 2022 and is expected to hit around USD 2,575.16 billion by 2032, progressing with a compound annual growth rate (CAGR) of 19% from 2023 to 2032...
Graph Neural Networks Applied to Similarity Search of Extrusion Die – a technical overview
The identification of patterns in similarities is a common challenge in several businesses. In marketing...
What role can AI have in ESG monitoring from a sustainability perspective?
As of today, more than 90 percent of the companies listed in the S&P 500 release reports, with varying degrees of detail, in the ESG sphere. In several jurisdictions, the reporting of ESG monitoring parameters…
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