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Episode 25: The dark side of GenAI: deepfakes, data and the future of trust ft. Malini Christina Raj
Generative AI is changing the way we work, create, and even trust what we see online. In this episode of Server Room, we sit down with Malini Christina Raj, Head of LATAM AI Research at Zoho Corp, to unpack the realities behind GenAI. From building models and the math that powers them, to data curation, privacy, AI agents, reinforcement learning, and the growing threat of deepfakes, we cover it all. Whether you’re an engineer, policymaker, or just AI-curious, this conversation will help you understand where AI is today and where it’s headed next.
The Next Evolution of AI: Forget Smarter Models - It's All About the Data
It’s been a noisy summer in the AI world. Headlines have been filled with doom and gloom: For example, OpenAI’s ChatGPT-5 landing with a thud, and an MIT report claiming 95% of AI pilots are failing. For the sceptics, this is “proof” that AI is just hype. I don’t buy it. The MIT study looked at just 50 projects, a sample size so small you’d fail a basic stats exam for using it. And as someone who uses AI every single day, I can tell you the benefits are real.
The Critical Role of Networks in AI Data Centers
The fastest GPU is only as fast as the slowest packet. In this post, we examine how the network is the primary bottleneck in AI data centers and offer a practical playbook for network operators to optimize job completion time (JCT).
MusicCreator AI Review: Redefining Creativity with AI-Driven Music
What sets MusicCreator AI apart is its philosophy: music creation should be democratized. Instead of limiting access to professionals with years of training, it puts tools into the hands of hobbyists, content creators, and indie producers. The result is a powerful solution that bridges technology and artistry.
Top Use Cases of Generative AI Services for Modern Businesses
Budgets are tight. Timelines are shorter. Customers expect speed and personalization. That is why leaders keep asking for clear, proven generative AI use cases that translate into revenue lift and cost savings. The aim is simple: move from ideas to outcomes without wasting cycles. Many teams begin with pilots, templates, or generative AI services that bundle models, data access, and publishing paths. This lowers setup time and shows impact early.
How AI Is Revolutionizing the Way We Share Written Content
Think about the time and resources you expend when writing content-maybe a blog, newsletter, or landing page. Now, imagine being able to automate how you generate ideas, create drafts, optimize content for SEO, and other demanding aspects of sharing written content. That's precisely what AI is doing in the marketing landscape today.
The New Physics of IT: Service-Centric Observability, AI-Driven Operations, and Intelligent Automation
Why the traditional model of monitoring and manual operations is collapsing–and what enterprises must do to survive The digital universe is expanding at a pace no enterprise can keep up with through traditional methods. Dependencies pull at each other in ways even experts can’t predict. What once could be managed with dashboards and siloed monitoring tools has become too vast, too interdependent, and too fast-moving, a new operating model is needed to master such complexity.
OpenAI Pricing: The Models, Features, And Costs To Know
If your SaaS organization is experimenting with OpenAI, your cloud bill just got a new line item. And unless you know exactly what drives it, that line item can go from manageable to margin-killer, fast. It’s also worth clarifying that OpenAI is not the same as ChatGPT. ChatGPT is the familiar end-user app with a flat monthly subscription. OpenAI, meanwhile, is the platform behind it — a mix of models, features, and usage-based pricing that shifts depending on what you build.
CloudZero Is The First Cloud Cost Platform To Integrate With Anthropic
The most challenging question in AI today isn’t how to build with it. It’s whether you can prove it’s worth what you’re spending on it. Every week, I hear the same thing from engineering and finance leaders: “We know the AI bills are big.