Next-Gen Infrastructure: Cloud, AI, Sustainability

A first part that focuses on sovereignty, how companies manage infrastructure transformations in a context where data security and governance is a top priority.

Cloud computing trends: advantages of multi-cloud and hybrid cloud

What are the advantages and disadvantages of multi-cloud and hybrid cloud and how to determine the best strategy for a given company? How to ensure their interoperability and the best level of automation?

What are the key criteria to consider when choosing a cloud service provider, and how to assess their ability to meet the specific needs of the company?

What level of trust in cloud solutions and how to maintain control? What are the contributions of the sovereign cloud and what are the implications in terms of data governance and regulatory compliance?

Current challenges related to digital infrastructure: evolution towards edge computing, IoT flow management, mobility issues

How does the evolution towards Edge Computing change the way you design and manage your infrastructure? What is the articulation between cloud and Edge Computing? How to optimize Edge architectures and set up native edge deployments?

How do you manage IoT and OT flows within your digital infrastructure? What are the specific challenges related to this management? Interoperability, scalability and security?

How to structure a "Mobile First" strategy: Next-generation WiFi networks, 5G mobile private network

Network and data security: security strategies, governance and compliance.

What are the best practices in network security to ensure the protection of sensitive data in a constantly changing environment?

How do you approach data governance and compliance within your organization? What are the main current challenges? How to address them?

Share examples of successful security measures implemented in your digital infrastructure and how these measures have helped improve the overall security of the business?

A second part that keeps in mind the question of sovereignty: in what ways do organizations maintain their independence and decision-making capacity in a context where the integration and use of AI is becoming ubiquitous? Furthermore, AI can be an asset to ensure data protection and compliance, but in what way?

Successful adoption of AI: Exploring best practices for the successful adoption of AI, including resource requirements and implementation strategies.

What are the main resource requirements to deploy and maintain effective AI solutions within your digital infrastructure?

What are the most common challenges you have encountered when adopting AI, and how did you overcome them?

Can you share examples of successful use cases of AI within your organization, highlighting the benefits obtained?

Observability and IT Operations Management: Discussing the importance of observability and IT operations management to ensure the performance and reliability of digital infrastructures.

Why is observability important to ensure the performance and reliability of digital infrastructures, especially in the context of AI?

What tools and practices do you use to effectively monitor and manage IT operations, taking into account the specific requirements of AI?

How do you integrate observability into your operational processes to ensure proactive incident response and continuous performance optimization?

Cloud Cost Optimization Examining the challenges of cloud cost optimization and strategies to maximize efficiency while minimizing expenses.

What are the main challenges you have encountered in cloud cost optimization, and what strategies have you adopted to overcome them?

How do you assess the efficiency of the cloud resources you use, and what steps do you take to minimize unnecessary expenses?

Can you share any practical tips for maximizing efficiency while minimizing costs when using cloud services to support AI workloads?

In this last part, let’s keep in mind that sovereignty can be approached from a social and environmental responsibility perspective by emphasizing the importance of ownership and control of premises to address environmental concerns. How can we minimize our footprints while ensuring that data sovereignty is maintained?

CSR Initiatives and Practices: Presentation of initiatives and practices to promote a more socially and environmentally responsible digital infrastructure.

Can you share examples of CSR initiatives implemented within your organization to promote a more socially and environmentally responsible digital infrastructure?

What are the main challenges you have encountered in implementing these initiatives, and how have you overcome them?

How do you measure the social and environmental impact of your digital infrastructures, and what measures are taken to continuously improve this impact?

Balancing technological innovation and sustainability: Discussion on the balance between technological innovation and sustainability, with a focus on reducing emissions, managing resources and contributing to broader CSR goals.

How do you balance technological innovation and sustainability in the development and management of your digital infrastructure?

What efforts are being made to reduce emissions, manage resources efficiently and contribute to broader CSR goals?

What are the best practices for integrating sustainability into business strategy and ensuring responsible decision-making?

Measuring and optimizing environmental impact: Analysis of tools and strategies to measure and optimize the environmental impact of digital infrastructure, as well as to ensure compliance with standards and regulations.

What tools and strategies do you use to measure and optimize the environmental impact of your digital infrastructure?

How do you ensure compliance with environmental standards and regulations while maintaining a high level of operational performance?

Can you share any success stories where optimizing environmental impact has led to significant improvements in your operations?