Artificial Intelligence

The evolution of AI is advancing at a rapid pace, progressing from Generative AI to AI agents, and from AI agents to Agentic AI.Many companies are developing their own AI tools, training The LLM specifically to enhance images, audio, video, and text communications with a human-like touch. However, the data used in these tools is […]

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 — […]

Introduction Insured domestic financial institutions operating in the United States with total consolidated assets between $10 billion and $100 billion face a complex and multi-layered regulatory reporting landscape. These mid-sized banking organizations occupy a critical position in the financial system—large enough to pose potential systemic risks yet distinct from the very largest global systemically important […]

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, […]

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 […]

We’re excited to announce that Perficient has officially attained SS&C Blue Prism Implementation Partner Certification at the Silver level. As we begin 2026, this achievement reflects our commitment to delivering world-class intelligent automation solutions and driving measurable value for our clients.  What This Certification Means  The SS&C Blue Prism Silver Implementation Partner Certification is a hallmark of quality, expertise, […]

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 […]

The conversation around artificial intelligence (AI) in professional sectors, whether in law, finance, healthcare, or government, has reached a fever pitch. AI promises to boost productivity, reduce administrative burdens, and unlock new value across knowledge-based industries. Yet, for many organizations, the reality lags behind the rhetoric. Despite high levels of awareness and pilot projects aplenty, […]

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 […]