Saurabh Jha | Tech Mahindra

Author Profile

Saurabh Jha

SVP and Global Head – Data and Analytics, Tech Mahindra

Saurabh Jha

With over 24 years of global experience, Saurabh has worked across India, Europe, the UK, and the US. He leads Tech Mahindra’s Data and Analytics (D&A) practice, which helps enterprises strategize, design, implement, and deliver data and analytics, cloud-based data, and AI-related transformation initiatives. He has a wide experience ranging from setting up new teams and practices, planning and executing go-to-market strategies, leading global alliances, and advising customers on effective alignment between their business goals and the latest digital technologies. Previously, he held strategic roles at Oracle, KPMG, and Mphasis, where he advised clients across industries and spearheaded regional expansions.

Insights

Views

Every organization is rushing to deploy AI agents. Yet most of their time and attention is spent fixating on models, platforms, and tools, with minimal effort devoted to understanding why agentic workflows fail to scale as intended. The question of the hour is not how organizations build agents; it is whether these agents genuinely understand the business in which they operate.

Views

In an era marked by rapid digital transformation, businesses face the dual challenge of meeting increasingly high customer expectations while maintaining operational efficiency. Conversational AI, powered by advancements in artificial intelligence and integrated communication platforms, offers a practical solution to these challenges. This blog examines the fundamental principles and operational advantages of conversational AI, highlighting how it enables enterprises to scale their operations, drive efficiency, and deliver enhanced customer experiences.

Views

We're living through one of the most transformative periods in business. Every day brings new AI breakthroughs, from autonomous systems reshaping industries to generative AI creating unprecedented opportunities for innovation. The vision is compelling: hyper-personalized customer experiences, radical operational efficiency, and new revenue streams emerging from intelligent automation. The recent advent of agentic AI fuels this excitement further, promising a hands-off, human-free future, whether in data engineering workflows or complex business processes.