Episode 2: AI for Enterprises: Navigating the What, Why and How with Sify’s Vision
Speaker:
Ravi Magluri, Chief Technology Officer – Digital Services, Sify Technologies Limited
Series:
Infinit Loop: Sify Podcast Series
Episode Summary:
In Episode 2 of Infinit Loop: Sify Podcast Series, we speak with Ravi Magluri, CTO – Digital Services at Sify Technologies Limited, on how enterprises can move beyond AI experimentation to scalable, responsible transformation.
This episode dives deep into the operational realities of deploying AI across large organizations — from bridging knowledge gaps to making AI explainable, ethical, and sustainable. It discusses how generative, causal, and predictive models are being embedded into enterprise workflows to address long-standing challenges like IT outages, customer churn, and inventory inefficiencies.
The episode also focuses on why responsible AI needs more than just tools — it needs clean, diverse data, well-defined use cases, and a strong cultural shift within teams. From no-code platforms to advanced pipelines, Ravi Magluri breaks down what truly works when building enterprise-grade AI solutions.
Whether you’re leading digital initiatives or exploring how to future-proof your business with AI, this episode offers insights grounded in both strategy and execution.
Episode 1: Empowering India’s AI Mission
Speaker:
Raju Vegesna, Chairman & Managing Director, Sify Technologies Limited
Series:
Infinit Loop: Sify Podcast Series
Episode Summary:
In the inaugural episode of Infinit Loop: Sify Podcast Series, we speak with Raju Vegesna, Chairman and Managing Director, Sify Technologies Limited, about how India is positioning itself as a global leader in Artificial Intelligence.
The episode explores India’s growing role in the global AI Landscape and why infrastructure —spanning data centers, fiber networks, and cloud platforms —is essential for this transformation. It also highlights Sify’s contribution across all three layers, with NVIDIA certified AI-Ready data centers and liquid cooling technology, built to support scalable AI adoption in India.
The discussion also looks at how AI enterprise tools can help solve real-world problems in agriculture, healthcare, manufacturing, and why their adoption is critical for growth and sustainability.
