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enterprice
Kirti Sharma

A Step-by-Step Guide to Successful CRM Implementation

Introduction Customer Relationship Management (CRM) implementation has become the backbone of modern businesses aiming to improve customer satisfaction, streamline processes, and boost revenues. However, the success of CRM implementation depends

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android devlopment
Kirti Sharma

22 Best Android Libraries for 2025

Introduction Android app development is continuously evolving, with new libraries and tools that streamline coding, improve app performance, and enhance user experience. For developers aiming to create state-of-the-art Android applications

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Artificial Intelligence
Kirti Sharma

How Much Does It Cost to Build an AI Product?

Introduction Artificial Intelligence (AI) has transitioned from a futuristic concept to a critical driver of innovation across industries. From personalized customer experiences to intelligent automation and predictive analytics, AI products

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aws
Kirti Sharma

Understanding Amazon Glacier: A Comprehensive Guide

Introduction In today’s data-driven world, businesses and organizations generate vast volumes of data that must be stored securely and cost-effectively. For data that is rarely accessed but must be preserved—such

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app technology comparison
Kirti Sharma

PHP vs Python: Which Language Is Dominating the Market?

Introduction Choosing the right programming language is a pivotal decision in software development, affecting project outcomes, developer productivity, and long-term maintenance. Among the most widely used programming languages today, PHP and Python spark continuous

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React native doveploment
Kirti Sharma

Seven Reasons Why Native Development is a Better Solution

Introduction As the mobile app ecosystem continues to evolve, businesses face a critical decision when choosing app development approaches. Among the various methodologies—native, hybrid, cross-platform—native app development remains the gold standard for delivering superior performance, user experience, and long-term scalability. Native development focuses

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machine learning
Kirti Sharma

Machine Learning in Banking – Use Cases and Implementation Process

Introduction The banking industry is rapidly embracing machine learning (ML) to enhance operational efficiency, manage risk, detect fraud, and deliver personalized customer experiences. As financial institutions face increasing competition, regulatory complexities, and

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