It is a sure thing! Generative AI will alter the nature of how we interact with software and has the potential to completely revolutionize the way businesses work. What is exactly a generative AI? It is a type of artificial intelligence technology that can produce different types of content including image, text, audio, and synthetic…
It is well known that the power of AI is rapidly transforming every industry, and custom software development is no exception. As we move towards 2025, AI is expected to revolutionize the way software is built, deployed, and even maintained. Can you believe this? In this blog, we will discuss the world of AI-powered software…
Introduction: The Role of GenAI in Modern Software Development Generative AI is shifting software development into a new era where ideas move from concept to creation with unmatched speed. Global reports show that more than 80 percent of engineering teams now explore GenAI-driven workflows, while only a smaller portion have been able to scale them…
Executive Snapshot (TL;DR) Quality Engineering (QE) is undergoing its most significant shift in decades. Generative AI (GenAI) is no longer a productivity add-on for testing teams—it is reshaping how quality is designed, validated, governed, and scaled across the software lifecycle. In 2026, leading enterprises are using GenAI to accelerate test design, generate privacy-safe synthetic data,…
What if Generative AI isn’t failing your business—but your organization isn’t ready to use it the right way? That’s a question many CEOs and CTOs are quietly asking in 2025. Most enterprises have already experimented with Generative AI. Some built internal copilots. Others tested content automation, customer support bots, or code generation tools. Yet very…
Your cloud migration just hit month 18 of a planned 6-month timeline. Dependencies you didn’t know existed keep breaking production. Manual data mapping consumes 60% of your engineering team. Your CFO wants to know why cloud costs are running 3x over budget. Here’s what changed in 2026: Companies using AI based cloud migration finish projects…
Across industries, organizations are experimenting with GenAI at unprecedented speed. Proofs of concept are launched, tools are tested, and pilots show early promise. Yet many of these initiatives fail to scale or deliver sustained impact. The reason is rarely the technology itself. More often, it is the absence of readiness, integration, and adoption. At SMI…
Introduction: The Rise of GenAI in Global Companies  In 2025, more than 78% of companies worldwide had used some form of Generative AI, and 46% of them saw their productivity grow by double digits within a year. From will-do maintenance in factories to smart chatbots in banks, Generative AI (GenAI) have gone from experimental…
AI in Cybersecurity What Is Generative AI’s Role in Cybersecurity Today?  What is Generative AI use in cybersecurity?  Generative AI gives modern cybersecurity systems some smarts and wiggle room. It can mimic attacks, see new patterns, and make response systems better all over the company. Use cases include:  Making fake phishing and…
Executive snapshot (TL;DR) Fine-tuning large language models (LLMs) is now a strategic capability: it turns general-purpose models into high-value business assets (domain experts, copilots, compliance helpers). But successful fine-tuning is technical and organizational work — you must choose the right method (full fine-tuning vs parameter-efficient approaches like LoRA/PEFT), apply robust data and privacy practices, bake…
