Rajashree Goswami
Rajashree Goswami is a professional writer with extensive experience in the B2B SaaS industry. Over the years, she has honed her expertise in technical writing and research, blending precision with insightful analysis. With over a decade of hands-on experience, she brings knowledge of the SaaS ecosystem, including cloud infrastructure, cybersecurity, AI and ML integrations, and enterprise software. Her work is often enriched by in-depth interviews with technology leaders and subject matter experts.
Leadership in Tech: A Half-Year Recap
In the first six months of 2025, leadership in the tech world quietly evolved. Not in splashy headlines or empty mission statements, but in hiring policies rewritten over team coffee breaks, in feedback systems, rebuilt by hand. Global brands are retreating from ad spending, not because they wanted to, but because they had to. From…
Decision Making Models in AI Leadership: Are You Building Accountability on the Loop?
In 1979, an IBM training manual mentioned, “A computer can never be held accountable; therefore, a computer must never make a management decision.” Fast forward more than four decades, and artificial intelligence has not only entered the boardroom but is increasingly influencing management decisions that shape entire industries and societies. AI is reshaping decision-making models…
Data Mesh Architecture and Distributed Data for Nomadic DevOps and Data Teams
Today’s digital operations aren’t rooted in a single server rack or centralized cloud account—they are borderless, fluid, and increasingly autonomous. As data becomes both decentralized and mission-critical, CTOs are navigating the rise of a new architectural imperative: the distributed data layer. This evolution isn’t just technical, it’s cultural, strategic, and, for many modern enterprises, existential. …
The Future of IT Infrastructure: Architecting for a Team That’s Everywhere
The very definition of IT infrastructure is undergoing a fundamental shift. The rise of hybrid work, the decentralization of data and compute, and the growing dominance of multi-cloud architectures are forcing IT leaders to leave behind the centralized, legacy tech stacks of the past. Modern CTOs aren’t just responsible for uptime anymore. They’re reimagining…
Asynchronous Communication for CTOs: Collaboration That Scales
As distributed teams become the norm rather than the exception, the question CTOs must grapple with is no longer if asynchronous communication matters—it’s how to embed it strategically to unlock productivity, scale collaboration, and preserve cognitive flow in their organizations. For years, the rhythms of tech teams were defined by the cadence of meetings. From…
The Great AI Vendor Lock-In: How CTOs Can Avoid Getting Trapped by Big Tech
In the age of platform dependency, one strategic misstep can lock your business into a closed system and potentially jeopardize its future. The recent collapse of Builder.ai, once a $1.3B-valued AI app builder backed by industry giants like Microsoft, has exposed a harsh reality: Many companies do not fully control the software and data their…
[Opinion] AI vs Human Workforce: Is Automation Worth It?
The clash between AI vs the human workforce is no longer hypothetical—it’s operational. Automation reshapes roles, expectations, and business models from call centers to coding teams in real time. But as companies race to invest, a sobering question persists: Is this revolution delivering the ROI leaders were promised? Companies are pouring billions into AI, but…
The Real ROI of AI CRM Software: Top Enterprise Picks That Work
In the fast-evolving world of business technology, AI CRM software has become the centerpiece of digital transformation strategies. Promising smarter sales processes, predictive forecasting, and streamlined customer interaction, these platforms are designed to revolutionize how enterprises grow. And yet, many implementations still fall flat. Studies reveal up to 65% of customer relationship management (CRM) projects…
The Rise of the AI Czar: Should Your Org Have a Chief AI Officer?
A new power center is emerging in the enterprise tech hierarchy: the AI Czar. Formerly known as the Chief Artificial Intelligence Officer (CAIO), this role is gaining traction in boardrooms and public agencies not as a trend but as a strategic necessity. Unlike the Chief Metaverse Officer, whose hype burned fast and fizzled, the AI…
Open-Source AI and Enterprise Tech’s Evolution: A Conversation with Praveen Akkiraju
AI in the Industry This exclusive interview series explores real-world applications of AI in niche verticals to illustrate just how deeply the tendrils of digital transformation can go to redefine industries and work life. We’re in the midst of one of the most profound technology upheavals since the dawn of the internet — and artificial…