Author
Software Engineer
An AI/ML Engineer with 3 years of experience, Preeti specializes in NLP, Computer Vision, and Generative AI. With extensive expertise in Large Language Models (LLMs), she builds intelligent, real-world applications. She is also experienced in designing and deploying scalable machine learning solutions across cloud platforms like AWS, GCP, and Azure.
May 19, 2026
Most Enterprises Have a GenAI Pilot. Only a Few Have a GenAI System. That gap is where millions of dollars quietly disappear. According to McKinsey’s 2025 State of AI survey, 88% of respondents say their organizations now use AI in at least one business function, while many are still experimenting with or piloting AI agents.
Software Engineer
April 21, 2026
AI agents on AWS are becoming a practical way for businesses to improve customer support, automate repetitive work, speed up internal processes, and get faster answers from business data. In 2026, the real value is not in adding AI just to keep up. It is in using agents that support real workflows, connect with existing systems, and deliver measurable business results.
Software Engineer
April 13, 2026
Small language models are AI models designed for specific business tasks, such as classification, summarization, search, extraction, and routing. In 2026, they matter more because businesses are evaluating AI based on production value rather than just model power. For many mid-market brands, SLMs are often a better fit than LLMs when the goal is to support clear, repeatable workflows with lower cost, faster response times, and better deployment control.
Software Engineer
April 1, 2026
AI potential is easy to discuss. Turning it into business value is the real challenge. For many enterprises, the gap lies between ambition and execution. They want AI outcomes without the complexity, operational overhead, and governance challenges of assembling and managing model infrastructure on t
Software Engineer
March 23, 2026
AI is no longer the question. Execution is. Most business leaders in 2026 are not asking whether AI matters. They are asking why it is not delivering more. Pilots were launched, tools were deployed, and budgets were approved. Yet when leadership looks for measurable impact on revenue, cost efficiency, or competitive advantage, the answers are often still unclear.
Software Engineer
March 17, 2026
Choosing the right AI development company is not just about checking technical skills. It is about finding a partner that can build AI solutions your business can actually use, scale, and trust. For business leaders, that means looking beyond AI expertise such as Machine Learning, Natural Language P
Software Engineer
March 12, 2026
Choosing between freelance AI developers and a dedicated AI development team can make a big difference in how fast your AI project moves, how much it costs, and how much risk your business takes on. Freelancers are flexible and quick to start, making them ideal for short-term tasks, prototypes, or e
Software Engineer
February 12, 2026
For years, enterprise leaders have chased the promise cloud platforms will bring to their business. However, even after leveraging cloud platforms, many CXOs and enterprises are unable to realize the benefits of the cloud fully—the reason is an unclear cloud transformation roadmap. Without a structured strategy, organizations risk scattered projects, rising costs, and
Software Engineer
September 18, 2025
Artificial Intelligence (AI) has moved from science fiction to an integral part of our daily lives in just a few short years. From recommendation systems that personalize our online shopping to advanced medical diagnostics that save lives, AI is transforming industries at a breathtaking pace. Busine
Software Engineer
