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Devkota Sadak, Baneshwor, Kathmandu
Enterprise AI investment is accelerating in 2026. Budgets are expanding. Expectations are rising. Boards are asking sharper questions. But one question now sits at the center of every AI discussion: What measurable business value is this delivering? For many organizations, the AI journey
We explore how AI in real estate helps organizations manage high-volume deal pipelines, improve decision focus, and maintain consistency across growing workloads.
Seasonal volatility reveals critical signals about demand, pricing, inventory, and customer behavior. We explore how retailers can turn those seasonal insights into year-round retail intelligence that improves decision-making beyond peak periods.
NRF 2026 marked a turning point for retail. We breaks down the key signals from Retail’s Big Show and what they mean for retail leaders planning for 2026.
NRF 2026 brings the global retail community to New York to focus on execution, technology, and leadership. Here is what to expect from this year’s sessions, Expo, and conversations shaping retail in 2026.
We explore how businesses can build readiness across teams, governance, and infrastructure to scale AI agents responsibly in 2026.
2025 marked a turning point for enterprise AI. This reflection highlights the milestones that defined the year and what they mean for 2026.
Explore practical ways leaders can implement governance, reduce risk and maintain trust while still moving fast and delivering meaningful AI outcomes in 2026.
Learn the critical factors that help enterprise leaders reduce AI friction, strengthen data foundations, and improve AI adoption.
Discover how to translate predictive insights into effective strategies across inventory, promotions, supply chain planning, pricing, and omnichannel execution.
AI forecasting is changing how retailers plan for the holidays. Learn how smarter demand prediction drives accuracy, agility, and growth.
Retail AI Disruption is reshaping operations, competition, and customer experience. Discover actionable strategies for executives to deploy AI, optimize operations, and scale solutions that deliver measurable results in weeks, not months.
Many AI projects fail because they start with the wrong use cases. This blog provides a framework for executives to identify high-value opportunities, avoid common pitfalls, and build a roadmap that delivers.
Mid-market enterprises often face the challenge of turning AI hype into measurable results. We explore why AI adoption stalls, highlights proof points where it works, and outlines a roadmap to move from promise to payoff, helping leaders achieve real efficiency, ROI, and competitive
Most businesses start AI with pilots but struggle to scale. The AI maturity curve offers leaders a clear framework to measure readiness and advance confidently.
For decades, C-suite roles evolved at a measured pace, shaped by market cycles, mergers, and the occasional disruptive innovation. That pace has now accelerated. Artificial intelligence is transforming the business landscape, compressing transformation timelines that once took years into months and reshaping the