Industrialised & Responsible AI

Driving future business performance 

In today's rapidly evolving business landscape, Sopra Steria is convinced that the widespread adoption of Artificial Intelligence is no longer just a strategic advantage — it's a necessity. It is the lynchpin of future business performance. 

Managing the effective use of AI throughout a large corporation poses significant challenges, which is why we seek to support companies throughout every step of their AI deployment, from initial idea, through proof of concept up to fully-fledged deployment at scale. 

Industrialised rollout of AI across the enterprise business lines necessitates extensive technological and regulatory compliance and therefore companies must commit to responsible and ethical AI principles. 

That is why Sopra Steria is a key investor in Confiance.ai, a unique French community dedicated to the design and industrialisation of trustworthy critical systems based on artificial intelligence. 

Alongside Confiance.ai, we aim to establish a clear and transparent methodology allowing business to qualify the trustworthiness of data-based intelligent systems that companies can integrate into industrial products and services, safe in the knowledge of their reliability. 

This covers aspects such as explainability, robustness, monitoring, uncertainty quantification, synthetic data generation, and trustworthy learning. 

Combining the technological expertise derived from Confiance.ai with our expertise in AI governance, we help our customers assess, validate and deploy responsible AI at scale while also ensuring they comply with all necessary regulatory requirements.

What is Responsible AI? 

As AI systems become increasingly autonomous and capable of making decisions that impact individuals and societies, it becomes imperative to ensure that their deployment is guided by principles that prioritise fairness, transparency, accountability, and human well-being. 
 
Responsible AI promotes equitable treatment, explains algorithmic decisions, and establishes mechanisms for oversight and accountability. By prioritising ethical considerations, it aims to mitigate biases and ensure trustworthiness in AI systems. 

Whitepaper

Responsible artificial intelligence

As organisations race to seize AI’s benefits, prioritising responsibility is key. Embracing responsible AI practices is not just about staying ahead but building a sustainable competitive advantage. 

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Why industrialise responsible AI deployment? 

  • Scalability: Industrialising AI rollout allows companies to scale up implementations across various business units and processes, ensuring widespread adoption and maximising the benefits of AI technologies.
  • Efficiency: Standardising AI implementations streamlines processes and reduces duplication of efforts, leading to increased operational efficiency and cost savings.
  • Competitive Advantage: Rapid industrialisation of AI enables companies to stay ahead of competitors by leveraging advanced technologies to improve decision-making, optimise workflows, and deliver superior products and services.
  • Innovation acceleration: Industrialised AI facilitates rapid experimentation and iteration, fostering a culture of innovation within organisations and enabling the development of cutting-edge solutions to complex business challenges.
  • Regulatory compliance: New legislation, such as the European Union's AI Act, oblige companies to adapt their AI governance to mitigate risks associated with bias, privacy, and security. Companies must be fully compliant within three years.

AI industrialisation challenges

Data Quality & Accessibility

Challenge: Inconsistent or poor-quality data across different departments or sources can hinder AI deployment.

Solution: Establish data governance to ensure data quality, accessibility, and consistency. Invest in data cleaning and preprocessing to enhance dataset reliability.

Talent & Skills Gap

Challenge: Shortage of skilled professionals with expertise in AI development, deployment, and management.

Solution: Invest in training programs to upskill existing employees and attract top AI talent. Foster collaboration between data scientists, engineers, and domain experts.

Infrastructure & Integration Complexity

Challenge: Integrating AI systems into existing infrastructure can be complex and time-consuming.

Solution: Invest in flexible and scalable infrastructure solutions such as cloud computing. Prioritise interoperability when selecting AI tools and platforms.

What is the AI Act? 

The European Union’s AI Act is the world’s first comprehensive global regulatory framework governing AI development, deployment, and use within the bloc. It categorises AI systems by risk level and imposes corresponding obligations. High-risk systems face stringent regulations, while transparency requirements apply to lower-risk systems. 

Compliance is vital, enabling companies to demonstrate their ethical added value and to reassure end users, not to mention that failing to comply can lead to substantial penalties. These can range from €10 million to €40 million or 2% to 7% of global annual turnover. Proactive assessment and measures enable companies to ensure compliance while upholding ethical standards and user safety. 

The EU’s AI Act: How companies turn compliance into competitive edge
Read more

How Sopra Steria helps 

With profound knowledge and experience in industrialisation of responsible AI, Sopra Steria will help you achieve your digital transformation to enable you to reach your maximum potential. 

Expertise 

Guidance implementing responsible AI practices, drawing on our vast experience across all key verticals. 

Framework development 

Construct frameworks to integrate Responsible AI principles into a company’s AI strategy. 

Ethical AI design 

Conceptualise and realise AI systems with built-in ethical considerations to mitigate biases and ensure responsible decision-making. 

Compliance 

Audit and assessment of regulatory compliance and implement measures to address any compliance gaps.

Training and education 

Development of training programs to empower employees with the skills to understand and implement responsible AI practices. 

Test and learn 

Ongoing monitoring and evaluation of AI systems to identify and address ethical issues or risks, ensuring continuous improvement. 

Our offer

Discover how AI is helping our clients

Aker BP: Nitro – a modern platform for agile development

Jul 18, 2024, 08:20 AM
Title : Aker BP: Nitro – a modern platform for agile development
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Streamlining to meet requirements

Measured in production, Aker BP is one of the largest independent listed oil companies in Europe. Aker BP is engaged in exploration, development and operation of oil and gas on the Norwegian continental shelf. They have their head office at Fornebu outside Oslo and offices in Stavanger, Trondheim, Harstad and Sandnessjøen.

Aker BP has a vision of leveraging its expertise through accessible, high-quality data. They want to use innovative technology on their way to achieving world-class results.

In a strategic partnership with Sopra Steria, Aker BP has taken the initiative to establish a dedicated platform team to accelerate internal and external product and development teams.

This platform will serve as Aker BP's foundation for developing new innovative solutions. It will eliminate the need for manual infrastructure, conserving energy, and streamlining the deployment of new code for solutions. By adopting Agile development practices, Aker BP will accelerate the development of new solutions enabling frequent changes to meet the demands of the business.

Value for the customer: A modern development platform

Aker BP now has a modern development platform that ensures fast and agile development. The platform handles the entire release process in a safe manner from idea generation and development to production. This allows for significantly faster error correction and the development of new functionality. Developers can now deliver enhanced functionality directly to end users, regardless of limited IT operations capabilities or traditional change management.

Through a good collaboration with Sopra Steria, Nitro has become an important development platform in Aker BP. More and more projects and development teams use Nitro, the developers experience great efficiency gains and we also get better control of governance and security.

Sverre Edin, VP IT & DATA EXCELLENCE, Aker BP.

The Nitro platform was first established and tested in a specific business area but has now proven that it creates value through efficiency improvements and quality improvement. As a result, Aker BP has transferred ownership of the solution to its digital device. The features of the platform are available to unlock benefits in other development initiatives and areas.

Through Nitro, Aker BP has significantly shortened the time from idea to production. This way of building software makes us faster and more innovative.

Arnfinn Grøtteinitiator of Team Nitro and Chief Transformation Engineer D&W, Aker BP.

Establishing a dedicated development platform team

Sopra Steria assisted Aker BP in establishing the development platform, Nitro, primarily on Microsoft Azure technology. The Nitro platform enables faster and agile development, utilising container services, DevSecOps tools, infrastructure-as-code and facilitating microservices architecture and self-service, among others.

The main advantage of the platform is how it makes the job easier and more efficient for the developers. The team aids in establishing an agile development process and facilitating easy onboarding for the product teams. The platform supports the business' requirements for smoother and more frequent development and delivery of functionality. The key is continuous integration and automatic application deployment through modern DevSecOps principles.

This provides flexibility, rapid scaling up and down of resources with pay-as-you-use models, reduced investment, reduced delivery time with resources available on demand, self-service with reduced management costs, reduced product team infrastructure knowledge, support for collaboration across product teams, and increased security.

The Nitro team consists of six resources from Sopra Steria with multidisciplinary expertise in DevSecOps – development, security and operations.

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