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
AI Governance Models: The New Risk Surface Every CTO Must Manage
As companies expand their use of generative and agent-based AI, the focus of AI governance is changing. It’s not just about policies or compliance checklists anymore. The main challenge now is how organizations design their AI governance models to oversee,…
How Gabe Kopley and Felicia Curcuru are making AI work for people
AI and Tech Leadership: This interview series is grounded in lived experience. It explores how technology leaders move AI from experimentation into day-to-day operations—where decisions carry real consequences for teams, customers, and the business. Through conversations with practitioners who have…
Why Data Governance Frameworks Are No Longer Optional: Ananya Sundar on What’s Changed
AI and Tech Leadership: This interview series is grounded in lived experience. It explores how technology leaders move AI from experimentation into day-to-day operations—where decisions carry real consequences for teams, customers, and the business. Through conversations with practitioners who have…
What AI Leadership Gets Right, and What It Often Gets Wrong
AI and Tech Leadership: This interview series is grounded in lived experience. It explores how technology leaders move AI from experimentation into day-to-day operations—where decisions carry real consequences for teams, customers, and the business. Through conversations with practitioners who have…
AI Operating Model: How Agentic AI Reshapes Teams, Workflows, and Accountability
The modern enterprise operating model is under pressure. Not because leaders lack ambition, but because traditional structures were never designed for intelligence that can act, decide, and learn at scale. The agentic AI operating model represents a fundamental shift in how work gets…
AI Control Systems: Who’s in Control Governing Agentic Systems?
Enterprise leaders are reaching a quiet inflection point. As organizations deploy AI control systems to automate workflows, optimize operations, and guide decisions, those systems are no longer just executing instructions; they are increasingly deciding. Incident prioritization, change-risk scoring, policy enforcement, workflow routing, and forecasting are now…
AI Governance and Growth in Fintech — Lessons from FIS’s CTO
AI and Tech Leadership: TThis interview series is grounded in lived experience. It explores how technology leaders move AI from experimentation into day-to-day operations—where decisions carry real consequences for teams, customers, and the business. Through conversations with practitioners who have…
The Agentic Orchestration Layer: The Missing Piece in Enterprise AI Stacks
Technical skills once meant knowing how to ship software reliably, scale cloud infrastructure, and secure enterprise systems. Today, those expectations have shifted again. For CTOs navigating Artificial Intelligence deployments, the challenge is no longer access to large language models or…
AI-Native Architecture: What CTOs Get Wrong (and How to Fix It)
In recent years, the term AI-powered has become prevalent in enterprise technology discourse. By 2026, it is clear that most systems are not truly AI-native. Instead, they are legacy architectures with added AI features, a distinction with important strategic implications.…
From Copilots to Autonomous AI Agents: Enterprise AI Changes in 2026
Enterprise AI is evolving from passive tools that await instructions to proactive systems that act with intent. This transition is subtly transforming organizational workflows in 2026. For most of the past decade, artificial intelligence in the enterprise has arrived politely.…
Internal Mobility 2.0: The Talent Shift Tech Leaders Can’t Ignore in 2026
In 2026, organizations are rewriting the rules of workforce strategy. After a decade defined by hyper-competition for external talent, rising hiring costs, and persistent skills shortages, leaders are realizing that the next wave of growth won’t come from buying talent, but from…
The 2026 Cybersecurity Conference Playbook for Security Leaders
Cybersecurity conference 2026 arrives at a moment when security leadership is being reshaped by forces that are no longer theoretical. AI-enabled attacks, identity-based breaches, and automated threat campaigns are changing how organizations assess risk, allocate budgets, and design defenses. For…