Posts by: narwal@
Achieving 93% Consistency: How Narwal Built a Production-Ready AI Sentiment Assistant for a Global Manufacturer
Background A leading global manufacturer operating across a diverse portfolio of building and consumer products needed an AI sentiment assistant to make sense of large volumes of customer reviews across retail, distributor, and digital channels…
- Jul 08
How Narwal Used Snowflake Cortex AI to Transform Unstructured Safety Notes into Proactive Workforce Intelligence
Summary A leading American manufacturer relied on manual tracking and unstructured safety notes to monitor workplace safety, creating a 5-to-7-day lag in identifying critical behavioral trends and coaching opportunities. While traditional safety metrics captured lagging…
- Jul 02
How Narwal Built a Snowflake AI Assistant to Transform Transportation Analytics into Self-Serve Logistics Insights
Summary A global manufacturer relied on data analysts to access critical transportation data stored in Snowflake, creating a 3-to-5-day delay for operational insights. While traditional BI dashboards provided high-level, predefined KPIs, they could not support…
- Jun 29
5 Signs Your Data Engineering for AI Is Solving the Wrong Problems
Your data engineering team is doing the work. Pipelines are up and running. Tickets are getting closed. Yet data engineering for AI is a different game, and the gap is starting to show. AI initiatives…
- Jun 26
The Future of Quality Engineering: 5 Core Shifts Redefining QE for AI in 2026
Quality Engineering is no longer a downstream checkpoint. In 2026, it sits at the center of business confidence. The latest piece on NASSCOM breaks down five shifts redefining QE this year: the rise of agentic…
- Jun 22
AI Agent Orchestration: Building the Foundation for Enterprise AI Automation
Unlike standalone AI agents that perform isolated tasks, AI agent orchestration enables intelligent collaboration, context sharing, decision-making, and workflow execution across complex enterprise environments. As enterprises invest in enterprise AI automation, agentic orchestration is emerging…
- Jun 22
Enterprise Regression Testing Strategy: How to Modernize QE with AI and Risk-Based Testing
Every enterprise wants faster releases. The challenge is doing that without increasing risk. As applications become more complex and delivery cycles accelerate, regression testing is no longer just a quality checkpoint. It plays a critical…
- Jun 08
AI Maturity Assessment: The Missing Link Between AI Pilots and Enterprise Scale
Enterprises today are investing heavily in Artificial Intelligence (AI). From experimenting with generative AI to building proof-of-concept models, there is no shortage of ambition. Yet, despite this momentum, only a small fraction of organizations successfully…
- May 26
Generative AI : Enabling Intelligent Automation and Enterprise Innovation
Generative AI is rapidly transforming how enterprises innovate, automate, and deliver value. From intelligent virtual assistants to autonomous workflow orchestration, Generative AI is enabling organizations to move beyond traditional analytics and automation toward context-aware, adaptive, and scalable decision-making systems. As…
- Mar 27
Narwal Awarded AMS Data Integrity Partner of the Year by Tricentis
Narwal has once again been recognized as the Asset Management System (AMS) Data Integrity Partner of the Year by Tricentis, marking the sixth consecutive year of this achievement. The recognition reflects the strength of the long-standing partnership between Narwal and Tricentis, as well…
- Mar 18
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