Turning AI Ambition into Real-World Advantage
Amitabh Sarkar, VP for Asia Pacific and Japan at Tata Communications, argues that the rapid adoption of AI by enterprises is creating a widening gap between corporate ambition and the underlying infrastructure readiness. He contends that effective AI integration hinges on converging networks, cloud services, security, governance, and trust, extending beyond traditional connectivity concerns.
Sarkar highlights a fundamental shift in corporate technology leadership over the past decades. Previously, the focus for CIOs was on uptime and cost control; now, the expectation is for infrastructure to support the rapid launch of new digital services across various markets. This indicates that technology is no longer merely a support function but is increasingly integral to business operations and innovation.
Tata Communications has adapted its strategy to this evolving landscape, moving from primarily offering global connectivity to positioning itself as a digital infrastructure and intelligence partner. The company's offerings now encompass platforms, AI readiness, and cybersecurity, alongside its core network fabric. This transformation reflects a broader industry trend where connectivity is a foundational element, but comprehensive digital solutions are required to meet complex enterprise needs.
The article emphasizes that the 'buying center' for technology has expanded beyond traditional IT roles to include marketing, data, and line-of-business leaders. This shift suggests that technology decisions are increasingly driven by desired business outcomes like revenue growth and customer experience, rather than solely technical specifications. The critical question for enterprises is whether their infrastructure can support their intended business models, rather than just network speed.
Sarkar identifies a core challenge: many boardrooms are pursuing AI ambitions without adequately considering the necessary infrastructure. He cautions against viewing digital transformation as a simple purchase of tools or cloud services, stressing that technology alone cannot answer the harder questions of integration and operational change. This perspective suggests that successful AI adoption requires a more holistic approach to infrastructure and organizational readiness.
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