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Enhancing Application Resiliency with Large Language Models
Enhancing Application Resiliency with Large Language Models

By Kunal Khanvilkar

Editors Pick

In today’s digital economy, application resiliency and robust disaster recovery (DR) planning are paramount. Outages and data loss can halt business operations and inflict severe financial and reputational damage. High-profile failures underscore the stakes: for example, Delta Air Lines suffered a massive IT outage triggered by an antivirus update glitch, resulting in thousands of flight cancellations and hundreds of millions in losses. Such incidents highlight how inadequate DR strategies leave ...

Published 11th Apr, 2025

Enhancing Transparency in Generative AI: Strategies for Ethical and Accountable Deployment
Enhancing Transparency in Generative AI: Strategies for Ethical and Accountable Deployment

By Srinivas Reddy Bandarapu

Generative AI (GenAI) has swiftly moved from research labs into mainstream industry applications, powering everything from automated content creation to decision support systems. A 2023 global survey by McKinsey found that one-third of companies were already using GenAI in at least one business function [1], and the market for generative AI software and services surged to over $25 billion by 2024 [2]. This rapid adoption underscores GenAI’s growing role across sectors – but it also shines a spotl...

Published 21st Mar, 2025

How Dynamic Data Governance enables instant insights for unprecedented innovation
How Dynamic Data Governance enables instant insights for unprecedented innovation

By Nishchai Jayanna Manjula

In today’s data-driven industries, decisions often need to be made on the fly using up-to-the-second information. Real-time data governance refers to managing data availability, quality, integrity, and security continuously as data is created, rather than retrospectively in batch processes [1]. This approach has become essential as data volumes and velocities explode. IDC projects that by 2025 nearly a quarter of the world’s data will be generated in real time [2], fueled by roughly 150 billion c...

Published 12th Mar, 2025

Empowering Scalable AI and Generative Innovation with Data Mesh Architecture
Empowering Scalable AI and Generative Innovation with Data Mesh Architecture

By Kiran Randhi

In today’s data-driven enterprises, data mesh architecture is emerging as a paradigm shift in how organizations manage analytical data at scale. Unlike traditional centralized data warehouses or data lakes, a data mesh decentralizes data management by aligning it with business domains and treating data as a product. This approach distributes data ownership to the teams closest to the data while maintaining overarching standards and governance. The motivation for data mesh arises from limitations ...

Published 12th Mar, 2025

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