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Bridging the AI Readiness Gap

Bridging the AI Readiness Gap

CORE Media in association with Tata Communications curated an exclusive panel discussion on ‘Bridging the AI Readiness Gap’ on January 30, 2026, as part of ‘Accelerating the Digital Continuum’.

Anoop Mathur, Founder, CORE Media Group, facilitated the discussion with Genius Wong, Executive Vice President – Core and Next-Gen Connectivity Services and CTO; Praveen Shrikhande, CDIO, Aditya Birla Fashion and Retail; Hari Nair, CTO, Mirae Asset Capital Markets; and Sampath Manickam, CTO, National Stock Exchange of India.

Key takeaways from the Leaders:

  • Technology choices are anchored in resilience, data integrity, and regulatory compliance, with accountability built into every decision.
  • Strong infrastructure design minimizes complexity and enables enterprises to address challenges proactively.
  • The rise of real-time applications has become a primary catalyst for evolving network performance expectations.
  • Building seamlessly connected cloud and on-prem ecosystems that enable performance, security, and faster innovation.
  • Enterprises need intelligence-led data orchestration, supported by holistic planning rather than fragmented initiatives.
  • Data gravity is intensifying, with growing competition among cloud-based analytics platforms, making early planning and assessment critical for enterprises.
  • Enterprises are working to bridge the widening gap between AI ambition and underlying infrastructure readiness.
  • To address evolving market demands, each design must be evaluated against its ability to meet defined latency requirements.
  • Full-stack observability is enabling faster market connectivity, allowing seamless operations and collaboration across the ecosystem.
  • Variability in response times creates bottlenecks, and even a single delayed data point from a model can disrupt overall performance, leading to inconsistent experiences for end users.
  • APIs serving end consumers are mission‑critical for eCommerce applications; any malfunction directly impacts user experience and revenue. When a specific API malfunctions, robust DDoS protection becomes essential to ensure continuity, performance, and security.
  • For AI-driven systems, in cases where alerts are pending, it is critical to implement micro-speed monitoring, down to milliseconds for precise tracing and issue detection.
  • The direction of enterprise IT is moving toward AI-driven anomaly detection within digital systems, helping identify root causes and optimize corrective actions.
  • Within capital markets, a highly regulated sector, compliance is embedded from the outset. Regulations define essential standards, and accountability and traceability are underpinned by the DPDP Act.
  • The priority lies in addressing governance gaps by shifting from chaotic, manual audits to structured, automated systems.

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