2022 AI for Industry
by
and
,
Aimé Lachapelle
Aimé Lachapelle
and
,
Ugo Philippart
Ugo Philippart
and
,
Mathilde Binet
Mathilde Binet
September 14, 2022
Download

An ever-increasing digitalization of industrial activities, ever more voluminous data generated, a potential of business value still under the radar of most decision-makers,

Nothing new about AI, you’d think.

Well, think again!

Upon closer look, major projects have been undertaken by many industrial groups, which were previously perceived as lagging behind other sectors, such as retail or financial services. Thanks to the hard work of many, the fundamentals of digitalization and data governance are now much better understood. Everyone is taking action and gradually transforming their business with data and AI. This has been confirmed by our recent study, based on a series of thirty interviews with data & AI experts in industry.

Unsurprisingly, manufacturers have started off taking the Data & AI topic from the side of operational excellence, making it a lever for competitiveness. Nevertheless, their recent investments are directed towards two new subjects. The first one is the environmental footprint: use cases are being developed for biodiversity and carbon neutrality purposes. The second is knowledge and adaptation to the market. This is certainly a no-brainer in other sectors, but it tends to be more difficult to implement in industrial groups, often stuck with a B2B mindset.

Emerton Data is a specialist in data and AI for the industry sector, with a mission to support its clients in the transformation of their business, by helping them define their data & AI strategy, equipping them with custom AI solutions and incubating AI SaaS software.

This white paper is being published alongside the AI for Industry 2022 event. It will explore the major Data & AI use cases of the moment, before diving into the Data & AI Factory model.
These elements will then be illustrated in depth through a succession of interviews and opinion pieces from the current leaders in data and AI for industry.

Authors
Aimé Lachapelle
Managing Partner
Ugo Philippart
Associate Partner
Mathilde Binet
Co-Author
Related articles
AI and the future of Human Resources
by
and
,
Aimé Lachapelle
March 2024

AI is projected to enhance HR productivity by 30 to 40%, catalyzing its strategic evolution within the company's framework.