ANIRUDH SHROTRIYA
MD, Shro Systems Pvt. Ltd.
At Shro Systems, we are well prepared to deliver enterprise-scale AI in 2026, but we approach it pragmatically rather than chasing hype. Our readiness rests on two fundamentals: strong infrastructure foundations—including modern data centres, hybrid cloud, and AI-ready compute through partners like HPE—and a use-case–driven approach focused on measurable business outcomes. Leveraging our ISV ecosystem, we provide industry-specific solutions with platforms and LLMs built to work seamlessly with customers’ data. The biggest challenges to AI adoption are skills, data readiness, and governance. While compute and cloud are increasingly accessible, organisations struggle with AI talent, operationalising models, and ensuring security, compliance, and responsible AI practices. Our aim is to bridge this gap—moving enterprises from pilots to production with confidence, trust, and measurable business impact.
Cloud-native and hybrid architectures are central to our AI roadmap and enterprise deployments. AI succeeds only when it runs close to data, meets latency and compliance requirements, and scales without disruption. Our hybrid-by-design approach combines cloud-native platforms for rapid innovation with on-prem and private cloud environments for performance, data sovereignty, and regulatory control. This ensures AI platforms remain flexible, portable, and secure while avoiding vendor lock-in.
Through deep partnerships across infrastructure, cloud, and cybersecurity, we help customers build AI systems that are governed, resilient, and scalable. By aligning enterprise AI execution with measurable outcomes, we ensure innovation translates into real business value while maintaining trust, compliance, and operational excellence across industries and use cases.
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