Platforms and Technology

A federated architecture for self-improving skills — from every employee’s laptop to the company brain. Every enterprise has the same problem hiding in plain sight. Somewhere between the onboarding wiki that nobody reads, the Slack threads that disappear after a week, and the senior engineer who carries half the team’s knowledge in their head — […]

In the rapidly evolving world of artificial intelligence, the shift from cloud-based processing to on-device AI is transforming how we interact with technology. Google is at the forefront of this revolution with Google AI Edge, a comprehensive suite of tools designed to help developers deploy high-performance AI directly on mobile, web, and embedded devices. This […]

In an era where artificial intelligence shapes every facet of our digital lives, a quiet revolution is unfolding in home labs and enterprise data centers alike. The AI Cluster paradigm represents a fundamental shift in how we approach machine intelligence—moving from centralized cloud dependency to distributed, on-premises deep thinking systems that respect privacy, reduce costs, […]

If you’re in the world of Oracle Cloud, you are most likely busy planning your big switch to Redwood. While it’s easy to get excited about a new look and a plethora of AI features, I want to take some time to talk about a tool that’s new (at least to me) that comes along […]

Learn how to combine Firebase’s hybrid inference with dynamic “AI Skills” to build smarter, private, and faster applications. The landscape of Artificial Intelligence is shifting rapidly from purely cloud-based monoliths to hybrid architectures. Developers today face a critical choice: run models in the cloud for maximum power, or on-device for privacy and speed? With the […]

Large Language Models have fundamentally transformed how we work on desktop computers. From simple ChatGPT conversations to sophisticated coding assistants like Claude and Cursor, from image generation to CLI-based workflows—LLMs have become indispensable productivity tools. On desktop, LLMs integrate seamlessly into multi-window workflows. On iPhone? Not so much. On my Mac, invoking Claude is a […]

Healthcare organizations are managing many challenges at once: consumers expect digital experiences that feel as personalized as other industries, fragmented data in silos slows strategic decision-making, and AI and advanced technologies must integrate seamlessly into existing care models.  Meeting these demands requires more than incremental change—it calls for digital solutions that unify access to care, trusted data, and advanced technologies […]

Subtitle: Side-by-side implementation of Secure AI on Android (Kotlin) and iOS (Swift). In Part 1, we discussed why we need to move away from slow, cloud-dependent chatbots. Now, let’s look at how to build instant, on-device intelligence. While native code is powerful, managing two separate AI stacks can be overwhelming. Before we jump into platform-specific […]

Subtitle: From Critical Medical Hardware to the Apple Ecosystem, the future of mobile intelligence is local, instant, and unified. We are standing at a hardware tipping point. For the last decade, “AI” on mobile effectively meant one thing: sending data to the cloud and waiting for an answer. Especially for those chatbots, adding AI to […]

This blog explains the process of building a custom search vertical in SharePoint Online that targets a specific list using a dedicated content type. It covers indexing important columns, and mapping them to managed properties for search. Afterward, a result type is configured with Adaptive Cards JSON to display metadata like title, category, author, and […]

In one of my recent Flutter projects, I had to implement a session token mechanism that behaved very differently from standard JWT-based authentication systems. The backend issued a 15-minute session token, but with strict constraints: No expiry timestamp was provided The server extended the session only when the app made an API call Long-running user […]

What is MCP? Model Context Protocol (MCP) is an open-source standard for integrating AI applications to external systems. With AI use cases getting traction more and more, it becomes evident that AI applications tend to connect to multiple data sources to provide intelligent and relevant responses. Earlier AI systems interacted with users through Large language […]