Mahesh Chand's contributions

Learn how Gemini Enterprise protects business data with encryption, compliance controls, audit logging, access management, DLP, and governance features.

Learn how Google Gemini Enterprise integrates with Workspace, Microsoft 365, Salesforce, and other enterprise systems. Discover API options, connectors, data-governance layers, and automation workflows that make AI adoption seamless across your organization.

Discover how large Google Gemini Enterprise’s context window really is. Learn how its 1 million-token memory compares with ChatGPT Enterprise, Claude 3 Opus, and Copilot, and what that means for enterprise-scale reasoning and document analysis.

Understand how Google Gemini Enterprise handles your company data. Learn whether prompts, chats, or Workspace content are used for model training, and how Google ensures enterprise-grade privacy and compliance.

Discover the 2025 pricing and licensing structure of Google Gemini Enterprise—including per-user costs, plan tiers, and how it compares with Gemini Business and other enterprise AI tools like GPT-4 and Claude.

Google’s Gemini Enterprise AI brings advanced generative AI and custom AI agents to enterprises. Learn how it helps businesses automate, innovate, and scale securely.

Learn how to build, deploy, and launch your own ChatGPT app inside ChatGPT using the latest SDK and tools. Complete step-by-step guide for developers, creators, and startups.

Discover the most powerful use cases for ChatGPT-hosted apps — from productivity to healthcare to finance — and learn when to build inside ChatGPT versus creating a standalone app.

Learn how to secure your ChatGPT apps and protect user data. This guide covers authentication, permission scopes, sandboxing, data handling, GDPR compliance, and best practices for developers building apps inside ChatGPT.

A practical guide to monetizing ChatGPT apps in 2025: subscriptions, usage-based pricing, in-app purchases, enterprise licensing, B2B lead gen, regional pricing (U.S., EU, India), taxes, refunds, compliance, analytics, and go-to-market tactics for developers.

Learn how to build and deploy apps inside ChatGPT using OpenAI’s new Apps SDK. This step-by-step guide covers setup, architecture, permissions, and publishing for developers entering the ChatGPT App Economy.

OpenAI has transformed ChatGPT into a full AI platform that can now host and run apps directly inside its interface. Learn how this shift is redefining software, creating the AI App Economy, and what it means for developers and innovators.

Discover how tokenization is revolutionizing online communities by turning engagement into ownership. Learn how Sharp Economy is pioneering this movement with its community-driven token model.

Discover what AggLayer is in crypto, how it unifies liquidity across blockchains, why it matters for DeFi, and how Polygon is implementing AggLayer to power the next phase of Web3 interoperability.

Want to ace coding interviews? Here’s a list of the most frequently asked DSA problems in placements and interviews at companies like TCS, Infosys, Wipro, Amazon, Microsoft, and Google.

Struggling to manage DSA preparation with college studies or a full-time job? Learn practical tips, schedules, and strategies to balance DSA with academics or work and stay consistent.

Preparing for placements? Discover the most frequently asked DSA topics in coding interviews for TCS, Infosys, Wipro, Amazon, Google, and Microsoft with examples.

Confused about where to start with Data Structures and Algorithms? Here’s a beginner-friendly roadmap to learning DSA for coding interviews, placements, and competitive programming in India.

Confused about the best programming language for learning DSA? Discover whether C++, Java, or Python is better for Data Structures and Algorithms, placements, and coding interviews in India.

Learn what Data Structures and Algorithms (DSA) are, why they are essential for coding interviews, placements, and tech careers in India, and how mastering DSA can boost your problem-solving and job prospects.

Discover the difference between data structures and algorithms with clear definitions, detailed examples, comparison tables, and real-world use cases. Learn why both are essential for coding, interviews, and software development in the US, UK, and India.

RWA-backed stablecoins are digital currencies pegged to fiat but backed by real-world assets like gold, real estate, or U.S. Treasuries. Learn how they work, their benefits, risks, and why they’re shaping the future of stablecoins and DeFi.