Industrial companies generate more information than ever before. Sensors, quality control systems, production systems, and maintenance indicators continuously generate data. However, simply accumulating information does not guarantee that an organization will better understand its processes or make better decisions.
This is one of the central topics of the new episode of Quality Talks, featuring Alfons Cornella, founder of the Institute of Next, and Xavier Conesa, CGO of Kapture.io. A conversation about how industrial companies can prepare for a future shaped by artificial intelligence, data overload, and the need to transform the way they work.
From Data to a Smarter Industry
Digitizing a factory doesn’t just mean collecting more data; it means turning that data into useful information to improve processes, solve problems, and anticipate deviations. When metrics and reports pile up without leading to action, information overload sets in: too much information and too little clarity.
Industrial transformation also requires unlearning. Implementing new technologies without reviewing processes can speed up inefficient tasks, but it won’t solve them. That’s why it’s necessary to eliminate unnecessary controls, stop measuring what doesn’t add value, and move toward more predictive models.
Artificial intelligence can help analyze information, detect patterns, and uncover opportunities, but it requires reliable data, industry knowledge, and human judgment. Companies must also provide training, tools, and time to experiment.
The New Role of Quality in Industry
High-quality professionals will evolve from a role focused on monitoring and analyzing incidents to a more strategic function. Through the intelligent use of data, they will be able to anticipate risks, connect information, and identify opportunities before problems turn into defects.
The future of industry will depend on companies’ ability to combine technology, knowledge, leadership, and a culture based on learning and curiosity. Organizations that integrate human talent and artificial intelligence will be better prepared to adapt to change and turn quality into a competitive advantage.
These are some of the ideas that Alfons Cornella and Xavier Conesa discuss in episode 11 of Quality Talks.
