Operations | Monitoring | ITSM | DevOps | Cloud

AI for nuclear safety: Predicting component remaining useful life

As industrial systems become more complex in 2026, the reliability of critical infrastructure depends on shifting from reactive to predictive strategies. In this session from Civo Navigate India, Muthukumar Ganesan, a scientist at the Indira Gandhi Centre for Atomic Research (IGCAR), explores the application of AI and machine learning in securing the future of nuclear energy.

How to Remove Watermark from AI Generated Images (Midjourney, DALL·E & Canva)

AI image tools have made it ridiculously easy to create artwork, mockups, social media visuals, and even product photography. But many platforms add watermarks - especially on free plans or previews. If you've downloaded an image and realized there's a logo, text overlay, or semi-transparent branding across it, you're not alone. Let's go through what actually works when it comes to removing watermarks from AI-generated images - and what usually makes things worse.

Boosting IT Productivity with AI-Driven Spreadsheet Automation

Modern IT teams operate under constant pressure. They are expected to deliver faster, reduce errors, maintain uptime, and extract meaningful insights from ever-growing volumes of operational data. Spreadsheets remain one of the most widely used tools in IT operations, even in organizations that rely heavily on cloud platforms, monitoring systems, and DevOps pipelines. However, manual spreadsheet work often becomes a productivity bottleneck.

How To Design AI-Native SaaS Architecture That Scales Without Killing Your Margins

AI-native SaaS products aren’t failing because the models are bad. They’re failing because the architecture can’t keep up with how AI actually behaves in production. What looks affordable in staging can erode your margins once real customers, workflows, and automation come into play. Designing AI-native SaaS architecture is now as much a margin decision as it is a technical one.

Rovo Dev Code Review in Bitbucket and GitHub | Bitbucket Blitz | Atlassian

The demo portion of a recent webinar I did shows how to setup, configure, and use Rovo Dev code review in both Bitbucket and GitHub. Learn how to add custom coding standards to your repositories and see Rovo Dev check for the specific things you care about during code reviews. Learn how to add acceptance criteria to your Jira work items and see Rovo Dev verify them during code reviews.

Context Management for Agentic RAG | Johan Jern, Co-founder & CTO at Realm

Some queries are hard to solve with "basic" RAG. When questions require multi-step reasoning, full-document understanding (not just chunks), or aggregating many results that match specific criteria, simple retrieve-and-generate pipelines break down, we need agentic RAG. But this added capability comes at a cost: as agents plan, search, read, and iterate, they quickly use up a lot of context, which both degrades answer quality and increases costs and latency.

#053 - The Road to Distributed AI and Kubernetes Infrastructure with Matt Butcher (Fermyon) & Ari...

They share their professional origins, highlighting how Kubernetes transitioned from a complex tool for experts to a foundational technology for global enterprises.. Part of the conversation focuses on the history of Helm, explaining its growth from a simple hackathon project into a standard package manager. Another part takes on the future of distributed computing, specifically how Akamai is integrating infrastructure as a service to support modern workloads.

The 10 Best AI Tools for Productivity in 2026

Since the launch of ChatGPT in November 2022, the world has seen a huge shift in our personal, business, and creative lives. Although we often use AI daily, its addition to our lives has not been without problems. It has caused writer strikes and worries about how AI handles our data and what it means for privacy, and many people are worried about AI taking over their jobs.

AI Is Everywhere, So Why Isn't It Delivering Business Value?

Enterprises have never had more access to artificial intelligence and less certainty about what it is delivering. Generative AI tools now sit inside everyday workflows, embedded across productivity software and operational systems employees rely on for critical work. They generate insight at scale, reveal patterns more clearly than before, and offer earlier visibility into potential risk.