Eviden End-to-End Responsible AI as a Services for Azure

Eviden’s end-to-end Responsible service offerings help businesses get started in their Responsible AI journey by ensuring regulatory compliance, adoption of the ethos of Responsible AI systems, and risk management for your Azure cloud AI applications. Our portfolio of service offerings includes business-driven consultancy, Ethical AI, Transparency & Bias, Governance, Security & Privacy, Management & Operations, and culture, way of working & adoption. Our solution approach is broadly classified into 3 phases, and each of the phases can be applied to one or more capabilities.

Below are the 3 broad phases of the approach for Responsible AI on Azure cloud:

• Discover: Create Responsible AI awareness, identify business needs, risks, skills & competencies, maturity assessment, and risk assessment.
• Define: Build a prioritized business use case roadmap, Governance model, and training plan to create a Responsible culture and design a high-level future-proofing solution.
• Deliver: Responsibly realize the business cases from the prioritized roadmap on the new technology landscape using a flexible, agile, and scalable approach.

We advise starting with business-driven consultancy to assess and analyze the as-is state of Responsible AI, explore needed capabilities, and establish a roadmap for realization.

From the insights gathered, we can either support you with implementing the entire Responsible AI journey or focus on a specific capability. The capabilities are linked and impact each other, but project scope and realization depend on your needs.

We advise starting with business-driven consultancy to assess and analyze the as-is state regarding Responsible AI on Azure cloud, to explore needed capabilities (service cards) and to establish a roadmap for realization. Based on the insights gathered and your business needs, we finalize the scope of the project and support you with the implementation of the entire Responsible AI journey for your AI applications on Azure cloud or focus on a specific capability. The culture, way of working, and adoption are inevitable elements in our approach to empowering your employees, transforming your organization, and establishing a culture around Responsible AI.

The desired outcomes of our Responsible AI portfolio of services include:

• Enhance the efficiency and performance of AI systems by improving fairness, transparency, and regulatory requirements of the systems and processes on Azure cloud.
• Cost savings by reducing the risk of legal liabilities, regulatory fines, and reputational damage associated with unethical or biased AI deployments.
• Build trust among their customers, leading to increased adoption, engagement, and retention.
• Increased sales and market expansion.