Satish Srivastava

Head of Propositions Delivery & Architecture community, Sopra Steria India

Satish likes creating tech-centric solutions and capabilities that empower clients. He has extensively worked with various Fortune 100 clients in US, UK, France, Australia, Scandinavian and India regions in guiding/executing their Transformation journeys.

He has held several responsibilities for Sopra Steria India including heading Solutioning, Practices and Delivery portfolios. Currently he heads Sopra Steria India Propositions delivery as well as Architecture community, and internationally, participates in Sopra Steria’s Application Management modernization program. He actively contributes to industry forums as speaker, panel member etc.

Earlier Satish was part of Infosys’s EAI practice in its forming days and had contributed to its explosive growth from 50 odd to 3000+ strong unit with its own P&L. He worked on multitude of integration programs there in various consulting, technical and management roles.

Latest Publication

Latest Publications

AI lead Software Engineering: Sopra Steria Ecosystem Offerings

| Jérôme Perdriaud, Satish Srivastava

Apart from internally developed IP’s given in the previous edition we also have an ecosystem of mature market leading companies, start-ups as well as labs and universities to build competency in their offerings and use them to help our clients. Following are some of the offerings from the ecosystem.

AI led Software Engineering: Sopra Steria Offerings

| Jérôme Perdriaud, Satish Srivastava

Sopra Steria has been investing in AI led software engineering in order to help our clients not only reduce cost and gain efficiency but also empower their businesses by making the processes more responsive and scalable.

AI led Software Engineering Use cases: Application to Testing, Deployment & Operations

| Jérôme Perdriaud, Satish Srivastava

In the previous edition of the series, we have seen how AI transforms the software engineering lifecycle, specifically Management, Requirements, design and development phases. In this edition we will see how subsequent Testing, Deployment and Operations activities are affected by AI.

AI led Software Engineering Use Cases: Application to Development

| Jérôme Perdriaud, Satish Srivastava

In the previous edition of the series, we have seen how AI transforms the software engineering lifecycle, specifically Management, Requirements gathering, Design phases. In this edition we will see how software development activities are affected by AI.

AI led Software Engineering Use Cases: Application to Requirements & Design

| Jérôme Perdriaud, Satish Srivastava

In the previous edition of the series, we have seen how AI transforms the software engineering lifecycle, specifically Management phases. In this edition we will see how Requirement engineering is affected by AI.

AI led Software Engineering Use Cases: Application to Project Management activities

| Jérôme Perdriaud, Satish Srivastava

Using various AI techniques such as machine learning, deep learning, natural language processing (NLP), information visualization etc it is possible to guide the software engineering professionals with AI enabled decision making and automations. 

AI led Software Engineering

| Jérôme Perdriaud, Satish Srivastava

CIOs are expected to partner business, and at times leads, the delivery of digital transformation. The existing IT landscape of a company needs to be rationalized and modernized to be able to achieve the expected business velocity.