Paramita Patra

Paramita Patra is a content writer and strategist with over five years of experience in crafting articles, social media, and thought leadership content. Before content, she spent five years across BFSI and marketing agencies, giving her a blend of industry knowledge and audience-centric storytelling. When sheÔÇÖs not researching market trends , youÔÇÖll find her travelling or reading a good book with strong coffee. She believes the best insights often come from stepping out, whether thatÔÇÖs 10,000 kilometers away or between the pages of a novel.

The Future of Growth: Human-Led, AI-Enabled Organizations 

The Future of Growth: Human-Led, AI-Enabled Organizations 

Two companies introduced the same product. After six months, one has moved to new markets and generated revenue while the other is wondering why its AI investments haven’t shown tangible returns. This is due to how technology is utilized by people.  Organizations have been using AI to make their operations efficient and less costly by automating tasks. But AI on its own…

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How Humans and AI Are Reshaping Business Success 

How Humans and AI Are Reshaping Business Success 

AI Adoption has changed the way we think about it over the years. At the very beginning, the debate centered more on automation and cost. The current strategy is to focus on efficiency and work on valuable tasks.    Businesses want to understand how AI and humans should cooperate to reach their goals. Despite the ability of AI to process data,…

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EveryOps Day Mumbai 2026: Key Takeaways from India’s Summit

EveryOps Day Mumbai 2026: Key Takeaways from India’s Summit

JFrog welcomed business and technology leaders from across India’s top organizations to EveryOps Day Mumbai 2026. The summit was dedicated to the future of software delivery in the age of AI. From opening keynote to closing remarks, everybody agreed that in an agentic software world, security, governance, and speed must coexist by design.     Here…

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Turning AI Into Business Value Through Human Insight 

Turning AI Into Business Value Through Human Insight 

A company invests in AI Tools to enhance its operations. The management had the expectation of speed in making decisions and efficiency. However, it is not clear how the outputs can be used; context is lacking results, and growth potentials are overlooked. The problem is not technology. The missing piece is Human Insight.               Companies that integrate AI with their…

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Building an AI Governance Framework: Tools, Teams, and Processes  

Building an AI Governance Framework: Tools, Teams, and Processes  

A company rolls out AI tools across multiple teams. Teams are moving faster, and leadership is excited about the possibilities. However, some issues have begun to arise. For example, who will be liable for inaccuracies in AI output? Are AI outputs fair and standardized? The most important question is how you can ensure that AI deployment is done in…

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AI Risk Management: Identifying and Mitigating Model Risks  

AI Risk Management: Identifying and Mitigating Model Risks  

A multinational organization employs AI in providing customer service. At first, it appears that the performance is positive. But then, after several weeks, the business discovers that AI is delivering wrong data, thus making customers more dissatisfied. The use of AI to cut costs ends up becoming a potential business risk.      AI has become advanced and widely used thus; businesses are facing new…

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The Evolution of AI Governance: What has Changed 

The Evolution of AI Governance: What has Changed 

A few years back, most organizations saw AI through one lens: speed. What they needed was innovation, efficiency, and competitive edge in AI. But once the AI systems were introduced, yet another issue appeared on the horizon: Who will be held responsible for the bad decision made by AI?    This shift explains why AI governance is necessary. It is essential for companies to…

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AI Governance in 2026: Why It’s Now a Priority

AI Governance in 2026: Why It’s Now a Priority

An organization developed an AI-based customer interaction campaign that offered personalization in real-time. But very soon, people began wondering how their data was being used and why companies were making different recommendations. What had started as an interesting development quickly shifted to a conversation about trust.       It is important to recognize that the lack of direction in the…

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