Data

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The AI-Ready Enterprise: Preparing Data for the Age of AI

A practical framework for building data systems that AI can find, understand, trust, and use.Conversations around enterprise AI are moving rapidly from models to applications. Foundational models are becoming increasingly capable, and organisations are experimenting with retrieval augmented generation (RAG), tool calling, AI agents and multi-agent systems to bring intelligence into their business processes. Yet, as these systems move closer to production, a familiar constraint emerges: the data they need was rarely designed for AI consumption. Enterprise data has traditionally been...

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Practical Testing Strategies for Databricks: A Software Engineer's Journey into Data Engineering

Ioseb Laghidze, a Solution Consultant at Sahaj Software, shared practical strategies for implementing disciplined and reliable testing practices in Databricks-based data engineering projects.Drawing from proven software engineering techniques, he demonstrated how data engineers can validate their pipelines more effectively by designing for testability from the ground up.The talk covered modularizing PySpark transformations for effective unit testing, setting up containerized local environments using PySpark, Delta, and Kafka, designing integration tests that simulate real-world data flows, incorporating testing strategies into CI/CD pipelines,...

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Data-Driven Customer Insights: A New Altitude for Airline Revenue Management and Retail Pricing

The aviation industry, with its dynamic pricing and complex service delivery, presents a fertile ground for AI driven data insights to revolutionize customer experience and revenue management. Understanding customer behavior through meticulous data mining is not just a competitive advantage; it’s a strategic imperative that is increasingly separating the successful airlines from those struggling to achieve profitability. The crux of the matter lies in mining and interpreting the vast array of customer data at each touchpoint — from booking a...

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The impact of the evolution of data on business

At the turn of the century, the internet made remote learning a reality. Propelled by the advent of cloud computing and AI coupled with burgeoning global internet penetration, the e-learning market grew at an exponential rate and became a $200 billion behemoth in two decades. The coronavirus pandemic further created an unprecedented demand for e-learning among students, corporates, and healthcare professionals. In the next five years, the industry is expected to nearly triple in size. At Sahaj, we believe it...

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