Industry Insights
May 30, 2026•10 min read
The Listening Business: AI in Voice-of-Customer Intelligence
AI can synthesize calls, tickets, surveys, reviews, and chats into customer intelligence that product and operations teams can actually use.
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Insights, tutorials, and updates from the ZharfAI team
Industry Insights
Trends and analysis in AI and technology
Industry Insights
May 29, 2026•9 min read
The Process Mirror: AI in Process Mining and Operations Discovery
AI-enhanced process mining turns event logs, tickets, messages, and system traces into a practical map of how work actually moves.
Industry Insights
May 28, 2026•10 min read
The Truth Pipeline: AI in Data Quality and Observability
AI can help teams detect schema drift, metric anomalies, missing context, and broken pipelines before bad data reaches decision makers.
Industry Insights
May 27, 2026•10 min read
The Secure Reviewer: AI in DevSecOps and Code Assurance
AI-assisted security review can shorten feedback loops when it is grounded in threat models, dependency context, and reproducible evidence.
Industry Insights
May 26, 2026•10 min read
The Autonomous Pull Request: AI in Software Engineering Agents
Software agents are moving from autocomplete into repository-level work: reproducing bugs, editing code, running tests, and preparing reviewable pull requests.
Industry Insights
May 25, 2026•9 min read
The Digital Operator: AI in Computer-Use Automation
Computer-use agents can operate existing software interfaces, but production value depends on guardrails, screen state checks, and recoverable workflows.
Industry Insights
May 24, 2026•10 min read
The Reading Machine: AI in Multimodal Document Intelligence
Modern document AI reads layout, handwriting, images, stamps, tables, and language together, making automation more useful for messy business records.
Industry Insights
May 23, 2026•10 min read
The Private Assistant: On-Device AI and Data Minimization
On-device AI gives teams a path to personalization without sending every signal, document, or user action to a centralized service.
Industry Insights
May 22, 2026•11 min read
The Smaller Brain: Edge AI and Small Language Models
Small language models are changing AI deployment by moving useful reasoning closer to devices, private networks, and latency-sensitive workflows.
Industry Insights
May 21, 2026•10 min read
The Synthetic Testbed: AI Evaluation Data and Simulation
Synthetic data is becoming a practical way to test rare cases, edge workflows, and privacy-sensitive scenarios before AI systems reach users.
Industry Insights
May 20, 2026•12 min read
The Retrieval Discipline: AI Search with Trusted Knowledge
Retrieval-augmented generation succeeds when teams treat documents, metadata, freshness, and citation quality as a product system.
Industry Insights
May 19, 2026•10 min read
What Is MCP? Model Context Protocol Architecture for AI Tools
Model Context Protocol is turning tool integration into a reusable architecture pattern for AI apps that need data, actions, and workflows.