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Cloud promised simplicity, not surprises. 90% of Indian companies are hit by unexpected costs, proving cloud unpredictability is the new crisis. The challenge: Predictable cost AND data sovereignty.

Cloud promised simplicity. Instead, Indian businesses are paying for surprises! This video reveals key findings from our Cost of Cloud 2025 research, which exposes a massive cloud cost crisis for Indian organizations: The issue isn't cloud adoption, it's a lack of clarity, predictability, and control. Civo is built for the future: simple, predictable, locally compliant cloud.

"There's a big potential kill switch sitting on his desk." This clip from our Digital Sovereignty Panel exposes a fundamental threat: how US geopolitical interests can compel cloud providers like Microsoft to suspend services, even for international organizations. Panelist Johan David Michels discusses the shocking case of the ICC prosecutor, Karim Khan, whose work email was withdrawn by Microsoft following US sanctions. This illustrates the fundamental lack of digital sovereignty over data hosted by US hyperscalers.

The healthcare industry accounts for 1% of the global carbon footprint, and a single PET CT scan can generate 60kg of CO₂! Regent Lee, Professor at the University of Oxford and moonshot engineer, reveals how Civo-powered Generative AI is transforming radiology. His team's solution eliminates pharmaceutical contrast injections, digitally displacing the pollution. This technology makes radiology safer, more efficient, and significantly greener for the environment. Sustainability in healthcare is non-negotiable.

This is the uncomfortable truth about cloud credits: Short-term savings mask crippling long-term costs. Taken from our recent webinar, Civo CCO Simon Hansford and Canopy Founder James Marks expose the primary concerns of the credit model. Credits act as a dangerous incentive for architectural laziness. When cost isn't a factor, you stop designing for efficiency, leading to bloated, inefficient infrastructure and the inevitable bill shock.

The AI workload presents the ultimate challenge, highlighting the structural limitations of the traditional hyperscaler model. In this segment from a Civo Navigate London 2025 session, Kelsey Hightower explains exactly why AI adoption forces enterprises to confront flawed architecture and rising astronomical costs. When specialized hardware is scarce and rented GPUs sit idle at a premium, it’s clear that traditional cloud providers were not built for this era. Data that didn't move is forcing organizations to move compute back to where it lives.

People worry about AI taking jobs, but what about the new roles AI is creating? James Faure, CEO of Clairo AI, breaks down the three essential non-technical jobs that have emerged in the last two years: Prompt Engineers, Context Architects, and Evaluators. Learn the crucial skills needed to be highly employable in the future of AI.

This 5-minute critique pulls back the curtain on where AI is succeeding and where the biggest challenges remain. Experts expose the gap between market hype and reality: the failure to deploy fully autonomous production agents and the missing human-machine interface for non-developers. It’s a challenge to the entire industry.

The hyperscaler model is built on bait: generous cloud credits for years, especially if you're VC-backed. But there's a serious catch. In this clip, Canopy's James Marks talk about the expected consequence of taking those "free" credits. It's not just about attracting customers; it's about deepening reliance on proprietary platform-native tools. It’s the ultimate vendor lock-in strategy, making it costly and complicated to break away later.

In this 5-minute clip from our recent webinar, Canopy's James Marks exposes the most dangerous side-effect of the cloud credit model: the migration loop. Instead of building their product, companies spend months hopping between vendors to chase new credits, falling into a cycle of constant, costly re-architecting. Simon Hansford provides clear advice for the best companies: build your architecture for portability on day one. Restrict proprietary features to maintain optionality and avoid the "entrenched phase.".