Tags

Artificial Intelligence, Data, Digital transformation

Date

31 October 2024

Author

Lila Haesebrouck

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Mick Levy

In this edition of the Managerial Excellence Masterclasses, we welcomed Mick Levy, an expert in digital transformation strategy and author of the book Get Your Data Out of the Fridge. Mick, currently Director of Strategy and Innovation at Orange Business, shared his vision of data as a strategic lever for companies, illustrating how organizations can leverage their data to maximize their potential, particularly through artificial intelligence (AI) technologies.

Data: An Untapped Potential

Mick begins by explaining the comparison between data and crude oil: like oil, unprocessed data has little value. He emphasizes that since 2020, humanity has generated as much data as it has produced since its beginnings. But instead of overwhelming us, this data offers new opportunities for value creation, provided we know how to exploit it.

Mapping and valorizing data are therefore key steps. He encourages companies to analyze their information sources, whether from customers, products, processes, or even employees, to find opportunities for innovation and development. Mick reminds us that each company possesses unique data, often much more precise than that of giants like Google, and must learn to leverage it.

Data Intimacy and Ethics

Mick introduces the concept of the “virtuous circle of data”, describing how devices capture data about our intimacy: our behaviors, internal processes, or even machine operations. This information, transformed into knowledge through AI, allows for the development of personalized services, but also raises ethical questions.

Indeed, the increasing use of personal and behavioral data can be concerning, but Mick emphasizes that when used ethically and responsibly, this data can significantly improve quality of life and business operations.

Generative AI: A Revolution for Data

The advent of generative AI profoundly changes how data is exploited. Thanks to these algorithms, companies can generate synthetic data to train complex models, such as simulating customer behaviors or diseases to better model them. Mick gives examples of projects in the food industry, where AI helps optimize champagne production or monitor animal health on farms.

Using Data for Operational Efficiency

There are numerous concrete use cases for data, such as “process mining” which analyzes business process data to derive the optimal path to follow. This approach allows for detecting inefficiencies and improving productivity by automating certain steps. For Mick, the key lies in optimizing processes via AI and data to gain operational excellence and agility.

The Crucial Role of Cultural Transformation

An effective data transformation also relies on a cultural change. Mick reminds us that 66% of transformation programs fail to achieve their objectives, according to Gartner, partly due to poor integration within teams. He recommends a progressive acculturation to data and raising employee awareness of AI benefits, starting by identifying relevant use cases and promoting a collaborative approach between departments.

Digital Sovereignty and European Challenges

Another crucial topic for Mick is that of European digital sovereignty. Faced with dominant American and Asian solutions, he calls for supporting European companies that develop competitive data and AI technologies to ensure technological independence.

Leveraging Data, a Collective Responsibility

In his book, Get Your Data Out of the Fridge, Mick Levy encourages companies to transform their data into strategic assets. He urges both large corporations and SMEs to tackle these challenges by integrating data into their processes and using regional funding mechanisms for their innovative projects. According to Mick, data is a major lever for the future, enabling the combination of economic growth and positive impact on society, provided it is used ethically and responsibly.

Don’t miss the next Masterclass!

Tags

Artificial Intelligence, Data, Digital transformation

Date

31 October 2024

Author

Lila Haesebrouck

Table of Contents
Share