Rajashree Goswami
Rajashree Goswami is a professional technology writer with 13+ years of experience covering AI, cybersecurity, cloud computing, SaaS, fintech, regtech, healthtech, sustainable technology, digital transformation, and enterprise innovation. She also specializes in software and app analysis, emerging technologies, and enterprise technology trends. Her work is grounded in research and in-depth conversations with industry leaders, subject matter experts, and technology practitioners, with a focus on the business impact of technology on innovation, operational efficiency, growth, and ROI.
Articles by Rajashree Goswami
Tech Policy Conferences 2026: Where Leaders Stay Ahead of Regulation
Technology strategy no longer begins and ends with engineering roadmaps. Increasingly, it is shaped by policy decisions around artificial intelligence, cybersecurity, digital sovereignty, cloud infrastructure, and cross-border data governance. As governments introduce new AI legislation, strengthen cyber resilience requirements, and…
AI Inference vs Training Is Rewriting 2026 AI Budgets
A few years ago, most conversations about AI budgets focused on training. How many GPUs would it take? How long would the training run last? Could the organization afford to build its own model? Those questions still matter, but they…
Is China Tech Decoupling Splitting the Digital World?
For nearly twenty years, technology leaders believed the world was becoming more connected. Cloud platforms expanded across the globe. Software vendors entered every major market. Hardware supply chains stretched over continents. The main idea was to build once and deploy…
Is Cloud Data Sovereignty the End of the Borderless Cloud?
A few years ago, most discussions about the cloud focused on speed, scalability, and cost. Now, the first question many CTOs get is much simpler: Where exactly does the data live? This change highlights the current situation. Cloud data sovereignty…
Are AI Governance Platforms Worth the Investment for CTOs?
Three years ago, compliance was mostly a calendar exercise. Security teams prepared for audits, legal teams reviewed policies, and executives paid attention only when a certification deadline was approaching. Compliance was important, but it rarely shaped day-to-day technology decisions. That…
Are Small Language Models the Future of Enterprise AI?
The rise of artificial intelligence has come with some unexpected costs. For the past three years, many companies have focused on building bigger language models, thinking that more parameters would lead to better results. In reality, Small Language Models (SLMs)…
Is Enterprise AI Governance Ready for Global Rules?
For years, most discussions about artificial intelligence centered on its capabilities. Companies rushed to use generative AI, automate tasks, enhance customer experiences, and find new ways to be efficient. Governance was usually seen as a lower priority, left for legal…
Why Continuous Security Validation Is Becoming a Security Imperative
From Strategy to Execution: Technology strategies often look strong on paper but produce uneven results in practice. This series focuses on the gap between intent and execution, examining how organizations operationalize technology plans, manage dependencies, and adapt when initiatives do…
Explainable AI Is Turning LLM Observability Into a Strategic Priority
Enterprise AI leaders spent the past two years proving that generative AI works. The next challenge is proving that it can be trusted. As GenAI moves from experimentation into customer-facing applications, business-critical workflows, and regulated environments, explainability is becoming a…
AI in Retail: What Walmart and Amazon Reveal About Scale
A few years ago, most retailers talked about AI carefully. Companies spoke carefully about AI. They tested recommendation engines, ran small warehouse automation pilots, and waited to see if the technology would truly improve their operations. That hesitation is disappearing fast. Now, the…
Building AI Infrastructure for Real-Time Financial Crime Prevention
From Strategy to Execution: Turning Sprints into Results Technology strategies often look strong on paper but produce uneven results in practice. This series focuses on the gap between intent and execution, examining how organizations operationalize technology plans, manage dependencies, and…
AI in Manufacturing: Why Manufacturers Are Betting Future on AI
Today, AI in manufacturing is moving beyond pilot programs and becoming part of everyday industrial operations. Manufacturers are using AI to improve production planning, monitor equipment health, detect defects, optimize inventory, reduce energy consumption, and coordinate increasingly complex supply chains.…