Posts by: narwal@
Narwal.ai Got Featured in Tricentis Partner Spotlight Series
Narwal.ai has been featured in the Tricentis Partner Spotlight Series, highlighting how the company’s award-winning, seven-year partnership with Tricentis is transforming enterprise quality engineering. A six-time Tricentis Partner Award winner, most recently named 2026 AMS…
- Jul 22
Why Multi-Modal AI is Becoming Critical for Enterprise Decision-Making
Most enterprise AI deployments still work one data type at a time: text, or images, or sensor data, rarely all three together, and almost never in a way that drives a decision rather than a…
- Jul 15
Scaling Enterprise AI: From Gen AI Pilots to Measurable Business Outcomes
Enterprise AI has entered its third phase: past experimentation, past the Gen AI pilot rush, and now facing the hardest part, scaling AI to deliver measurable business outcomes. Most organizations already have access to sophisticated…
- Jul 14
How Narwal Built a Snowflake AI Agent to Transform Product Reviews into Instant, Governed Insights
Background Product reviews tell a story, but for a global manufacturer managing 50+ product lines across multiple retail channels, that story was trapped; until an AI agent built natively on Snowflake made it accessible. Business…
- Jul 08
How Narwal Helped a Global Manufacturer Turn AI-Powered Product Sentiment into Enterprise-Wide Decision Intelligence
Summary A leading global manufacturer had already deployed a Snowflake-native AI product sentiment assistant to analyze product reviews and surface actionable insights, but access remained limited to technical teams. Product and business functions had no…
- Jul 08
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
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