An update on the challenges and opportunities of an industrial world renewed by AI.
What makes AI projects successful? How do key players see the return on investment of AI? This collaborative paper brings together interviews and summary articles from experts, and dives deep into the future of AI for industry.
In a world shaken by the COVID-19 crisis, industries around the world have been severely tested. Production came to a standstill, global supply chains broke down, and the women and men at the heart of these industries were deeply destabilised.
Artificial intelligence is now at the heart of the transformation of our society, and of industrial professions in particular. The promise of progress and value is enormous, and this transformation is leading to a profound rethink of the role and value of humans, especially in relation to machines. Automated quality control through image processing, prediction of defects on production lines and optimisation of processes involving the most complex machines are all use cases where AI has demonstrated its potential.
However, these first examples remain isolated, and the major challenge for manufacturers is to move to AI at scale, with massive adoption across all sites, towards competitive models that are more resilient to shocks. AI can and should be at the heart of economic recovery.
Emerton Data is an AI specialist dedicated to industry. Its mission is to support clients in transforming their businesses by helping them define their data and AI strategy, equipping them with tailor-made AI solutions and incubating AI SaaS software.
Startup Inside, a unique platform and engine of AI-driven initiatives, aims to create and nurture sector clusters such as finance, health, industry, environment and retail.
Emerton Data and Startup Inside believe that AI must be at the heart of industrial processes and activities, to make their models more efficient and more resilient. We are delighted to partner in creating the AI for Industry ecosystem. Our goal is to bring this community together through events that foster interaction, something that is sorely lacking in industry today, compared with sectors more mature in AI such as finance or, more recently, health.
This white paper is published on the occasion of the first AI for Industry conference. It explores the promise and challenges of an industrial world renewed by AI, and presents the perspectives of many players in the sector through interviews and summary articles, drawn from more than 30 expert interviews conducted for the occasion.
We thank everyone who contributed to this white paper.
