The most read AI and analytics stories of 2025
Dec 26, 2025
In 2025, artificial intelligence moved decisively from experimentation to execution. Enterprises began deploying autonomous AI agents, integrating generative AI into core workflows, and rethinking decision-making across finance, retail, and operations, while simultaneously confronting new risks around trust, security, and regulation.
This curated list brings together the most-read stories of 2025, reflecting the topics business leaders and practitioners actively searched for, shared, and applied. These reads offer practical frameworks, real-world use cases, and forward-looking insights on agentic AI, responsible GenAI, demand forecasting, working capital optimization, and post-quantum security.
Whether you’re shaping AI strategy, driving operational efficiency, or preparing your organization for what’s next, these articles provide clarity on where the market is heading and how to stay ahead.
The necessary intersection of GenAI, responsible AI, and emotions
As GenAI becomes embedded in customer-facing decisions, trust and emotional intelligence are no longer optional. This article explains why responsible AI must go beyond compliance, and how emotionally aware systems can protect brand equity while improving adoption.
Working capital optimization via receivables management
Cash flow challenges don’t always require aggressive cost-cutting. This piece shows how data-driven receivables management can unlock trapped working capital, reduce risk, and improve liquidity, without straining customer relationships.
A practical framework for implementing agentic AI in business workflows
Agentic AI sounds powerful, but how do you actually deploy it? This article offers a clear, execution-ready framework for moving from experimentation to production, helping organizations scale autonomous decision-making responsibly.
Learn more>>NIST’s post-quantum cryptographic standards
Quantum computing is no longer a distant risk. This read breaks down what the new NIST standards mean for enterprises today, and why delaying cryptographic readiness could expose organizations to long-term security threats.
Agentic AI in finance
From forecasting to compliance, finance teams are under pressure to move faster with fewer errors. This article explores how agentic AI is reshaping financial decision-making by enabling systems that reason, adapt, and act with minimal human intervention.Thriving amid trade shifts: AI-driven strategies for retail success
Volatile trade policies and supply disruptions are the new normal. This piece shows how retailers can use AI to stay resilient, optimizing pricing, sourcing, and inventory decisions in an increasingly unpredictable global market.
The age of autonomous AI agents
We’re moving beyond copilots to fully autonomous agents. This article explains what that shift means for enterprises, how work gets done, how decisions are made, and what leaders must rethink as AI begins to act independently.
Customer-centric merchandise analytics and planning
Customer expectations are evolving faster than traditional planning cycles. This read shows how advanced analytics can align merchandising decisions with real customer demand, improving sell-through, margins, and loyalty.
GenAI for demand forecasting in fashion retail
Fashion forecasting has always been high-risk. This article reveals how GenAI models can capture trends, seasonality, and consumer signals more accurately, helping brands reduce overstock, missed demand, and margin erosion.
Recognition and achievements
