AVANEESH VATS,
VP (DIGITAL INFRA & INNOVATION) & CIO,
TECHNO ELECTRIC & ENGINEERING CO. LTD.
As organisations work towards scaling AI from proof-of-concepts to enterprise deployments, the biggest challenge lies in data readiness, governance and security rather than the AI model itself. While many enterprises have initiated AI pilots, only a small percentage have successfully moved them into production because inference environments introduce new complexities around data management, compliance and security. With the Digital Personal Data Protection (DPDP) framework becoming increasingly important, organisations must ensure that AI-driven outcomes remain secure, compliant and supported by appropriate governance and human oversight wherever required.
Building a successful AI ecosystem also requires a strong digital infrastructure. AI workloads can no longer rely on retrofitted legacy data centres, making purpose-built, high-performance infrastructure essential for supporting advanced analytics, AI-driven decision-making and future-ready enterprise workloads. Looking ahead, Agentic AI is expected to be among the most influential technologies over the next two years, as organisations across industries increasingly explore intelligent systems to enhance business operations, improve efficiency and drive innovation.
A strong partner ecosystem is equally critical in helping organisations navigate an increasingly diverse technology landscape. While OEMs provide the underlying technologies, partners play a vital role in identifying and bringing the right solutions to customers. Events such as INFOTECH FORUM 2026 also provide valuable opportunities to exchange insights on AI, cybersecurity and emerging solutions, enabling organisations to stay aligned with evolving technology trends and make more informed technology decisions.
