An exclusive virtual event consisting of top-level content and thought leadership discussions exploring the digital transformation ecosystem.
Industry, Data and Continuous Improvement: how to be efficient in a low investment environment
Philippe Mege
Head of Digital Application at Axens
Philippe Mege, the Head of Digital Application at Axens. With over three decades of experience in the oil and gas industry, he’s a pioneer in leveraging digital solutions for efficiency. In this blog, we’ll explore his insights on industry, data, and continuous improvement in a low investment environment.
Philippe Mege had emphasized the significance of efficiency in the industry when resources were limited. He had highlighted four pivotal strategies to excel in such a challenging environment. Firstly, he had stressed the importance of having reliable and accurate data, as good decision-making relied on high-quality data. Secondly, he had recommended the adoption of Digital Twin technology to create virtual replicas of real-world systems, thereby improving their operation and maintenance. Thirdly, he had advocated for the use of Machine Learning to analyze data and enhance efficiency through intelligent decision-making. Lastly, he had suggested considering Connect’In®, a tool that fostered trust and collaboration among partners by facilitating real-time data sharing. These strategies, as shared by Mege, allowed industries to thrive and optimize processes, even in the face of limited investment opportunities, ultimately making their operations smarter and more efficient.
Philippe Mege had emphasized the significance of efficiency in the industry when resources were limited. He had highlighted four pivotal strategies to excel in such a challenging environment. Firstly, he had stressed the importance of having reliable and accurate data, as good decision-making relied on high-quality data. Secondly, he had recommended the adoption of Digital Twin technology to create virtual replicas of real-world systems, thereby improving their operation and maintenance. Thirdly, he had advocated for the use of Machine Learning to analyze data and enhance efficiency through intelligent decision-making. Lastly, he had suggested considering Connect’In®, a tool that fostered trust and collaboration among partners by facilitating real-time data sharing. These strategies, as shared by Mege, allowed industries to thrive and optimize processes, even in the face of limited investment opportunities, ultimately making their operations smarter and more efficient.
- Data quality: Key factor for data-driven business decision
- Digital Twin: Process improvement and equipment integrity
- Machine Learning: an ideal tool to build hydrid model
- Connect’In® : Reinforcement of client-licensor confidence with SaaS
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