Posts by Samriddhi Sharma
AI Integration Cost in 2026 – Complete Guide
Understanding AI integration cost is one of the most critical steps for organizations planning to adopt artificial intelligence. Entrepreneurs and business executives continuing on from the pilot stage into the production level of using AI in their organisations want to know how much it will cost them to integrate AI into their operations, what the…
Read MoreData Migration Cost in 2026: A Complete Breakdown
Data migration cost is one of the most critical considerations for organizations planning to move it from one system, platform, or environment to another. Organizations may be upgrading legacy systems to a cloud platform, combining multiple databases into one, or rolling out new enterprise software that will enhance their operational efficiency and productivity. The cost…
Read MoreHow to Automate Recruitment Process: A Step-by-Step Guide
Understanding how to automate the recruitment process has become a concern among the HR department and organizations with large volumes of hiring, shortage of skills, and growing competition of talent. Manual recruitment processes, including resumes screening, scheduling interviews and communicating with candidates, are costly, inaccurate and hard to scale. Automation in recruitment involves AI, software,…
Read MoreTop 5 Benefits of AI in Recruitment
The benefits of AI in recruitment are becoming increasingly evident as organizations face challenges in candidate sourcing, screening volumes, skill-based matching, and improving diversity and transparency in hiring. An AI-assisted hiring platform automates repetitive functions and allows for quicker processing. From scanning resumes to analyzing the emotions of interviewees, AI provides a scalable and equitable…
Read MoreAI Recruitment Case Study: How Companies Achieve Faster Hiring
The demand for AI and automation in the HR process has given rise to a new primary focus word in talent acquisition, namely AI recruitment case study. Companies across the globe are implementing AI based hiring technology as a means to decrease time to hire, eliminate unconscious bias, accurately filter candidates’ abilities, and create a…
Read MoreAI Agents in Recruitment: How They Transform Hiring Efficiency
AI agents in recruitment refer to autonomous or semi-autonomous artificial intelligence systems trained to perform repetitive and strategic hiring tasks such as candidate sourcing, resume screening, scheduling, assessments, and communication. Many companies now rely on AI agents to reduce time-to-hire, improve candidate experience, and eliminate human bias. Today, companies deal with thousands of job applications,…
Read MoreCloud Modernization Strategy in 2026: A Complete Guide
A well-defined cloud modernization strategy is no longer optional – it is a foundational requirement for organizations aiming to stay competitive, agile, and scalable. Cloud modernization is the foundation of digital transformation regardless of whether businesses are migrating their legacy systems, making their workloads more efficient, or increasing the power of artificial intelligence/automation. This paper…
Read MoreEnterprise Application Modernization in 2026
Enterprise application modernization is no longer an option – it’s a strategic necessity for organizations aiming to stay competitive in a rapidly evolving digital ecosystem. As legacy systems become bottlenecks, businesses are increasingly turning toward enterprise application modernization to improve scalability, security, integration, and long-term operational efficiency. This shift isn’t just about upgrading software; it’s…
Read MoreIT Service Desk Automation: How It’s Changing IT Support in 2026
IT service desk automation refers to routine, manual activities by IT support departments with the help of software tools (typically managed by workflows, rule-based logic, artificial intelligence, and sometimes machine learning). These activities involve creation of tickets, routing, prioritization, password resets, general troubleshooting, approvals and so on. Automation can achieve this by performing regular workflow…
Read MorePredictive Analytics in Manufacturing Industry in 2026
Predictive analytics in the manufacturing industry uses statistical algorithms, machine learning models, and real-time sensor data to identify patterns, detect anomalies, and forecast future outcomes such as equipment failures, quality issues, or production delays. It helps manufacturers prevent downtime, optimize operations, reduce costs, and improve product consistency. Why Predictive Analytics Matters for the Manufacturing Industry…
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