Blogs
Blogs that go beyond the test case
A stream of fresh perspectives, technical deep dives, and expert commentary from the digital world
Featured blog
- Blog
- 9 min read
A CIO’s Guide to Regulatory Requirements for Data Quality Indices
Learn how CIOs can navigate evolving regulatory requirements for data quality indices. This guide covers key compliance mandates, governance best practices, and strategies to ensure accurate, reliable, and audit-ready enterprise data.
- Sushil Tanna
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Industries
- Blog
- 6 min read
Solving Post-Merger Data Quality Headaches: Part 2
This blog explores advanced approaches to solving post‑merger data quality challenges, helping organizations ensure accurate integration, strong governance, and reliable reporting across systems.
- Sushil Tanna
- Blog
- 6 min read
Solving Post-Merger Data Quality Headaches: Part 1
Learn how organizations can address post‑merger data quality challenges, ensuring accurate data integration, consistency, and reliable reporting across systems in BFSI environments.
- Sushil Tanna
- Blog
- 8 min read
From Hours to Seconds: How NL to SQL Agents Transform Legal and Finance Data Analysis
Learn how NL‑to‑SQL AI agents convert natural language queries into instant insights, transforming legal and finance data analysis from hours to seconds.
- QK Thought Leadership
- Blog
- 8 min read
How Enterprises Are Automating High-Volume Inbox Management with AI Email Agents
Learn how AI email agents help enterprises automate high‑volume inbox management, reduce manual effort, and improve response speed and accuracy.
- QK Thought Leadership
- Blog
- 6 min read
Release Engineering for Business Resilience: What Zero Downtime Really Means
Zero downtime isn’t just a goal, it’s a release engineering discipline. Learn how resilient teams use SRE, observability, and automated quality practices to ship faster without compromising reliability.
- Tarak Layek
- Blog
- 6 min read
Real-World SRE Tactics for Managing Release Speed and Reliability
In most enterprise AI environments, dashboards detect performance drops, but they rarely explain why or what to do next. While traditional model monitoring captures metrics like accuracy, latency, or drift, the investigation remains a manual bottleneck:
- Tarak Layek
- Blog
- 4 min read
Why Agentic AI Breaks in Production (And How to Fix It)
Learn why agentic AI often fails in production and how enterprises can fix reliability, orchestration, and governance issues to scale AI systems safely.
- QK Thought Leadership
- Blog
- 8 min read
The AI-Driven Evolution of DevSecOps
AI’s role in DevSecOps has been shaped by a multi‑year evolution, shifting from fragmented, reactive security practices to today’s intelligent, predictive systems deeply embedded in the CI/CD pipeline.
- QK Thought Leadership
- Blog
- 6 min read
The Trust Gap: Why AI Evals are the New “Stress Test”
Enterprise AI has evolved beyond chatbots. Multi-agent AI systems are entering production, but our ability to validate them has not kept pace. Unlike traditional software, AI agents fail softly. They execute trades, approve loans, and trigger workflows with reasoning that appears sound but drifts from established guardrails.
- Gauraav Thakar
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