Understanding the Difference: Staffing vs. Recruitment
Introduction Hiring, staffing, recruitment, and a quick overview of staffing and recruitment. Hiring the right talent is crucial for businesses seeking growth and success. When it comes to finding the best candidates, understanding the differences between staffing and recruitment becomes vital. Workforce management is a critical facet of organizational success, and both staffing and recruitment […]
Data Mining And Analytics: The Best Way To Revolutionize Growth
In today’s digital age, information is power. But with so much data available everywhere, how can you decide what is useful and what isn’t? Moreover, even with useful data in hand, how will you be able to figure out how to use it correctly? AIT Global’s data mining and analytics solutions provide a seamless way […]
Unlocking the Power of Data: Transforming Business Operations and Efficiency
Objective: The hospitality industry was facing difficulties in generating meaningful reports from MongoDB, which contained mixed data including transactional data. The unstructured nature of the data made it challenging to convert it into useful information, resulting in a significant amount of manual work. Solution: Extracted raw data and performed data cleansing and filtering to structure […]
Streamlining SAP Invoice Processes
Objective: The manual invoice processing system at a leading manufacturing company was inefficient and time-consuming. The process involved manually entering data from invoices into the SAP system, which was error-prone and resulted in delays in payment to vendors. The company was looking for a solution that would streamline the invoice processing system, reduce errors, and […]
Optimizing Loan Processing at Financial Services
Objective: The Financial Services Organisation wanted to optimize their loan processing activities by implementing RPA. The manual process involved a large team of 1200 people who checked scanned documents and verified them against entries in systems – a time-consuming and error-prone process. The RPA solution needed to handle unstructured data, including PDFs, images, and handwritten […]
Streamlining Legacy Processes with Digitalization
Objective: The Legacy process was completely manual, with clients relying on Excel sheets to manage data. The complexity of managing a tracker with different master data made the process highly complicated. There was no high-level dashboard for quick access to data, and reporting was missing, leading to data loss. Additionally, there was no approval process, […]
The AI-Powered Resume Screening Solution
Objective: In the fast-paced world of business, organizations often face the daunting task of sifting through thousands of resumes for a single job position. The conventional method of manually reviewing each application is not just time-consuming but also susceptible to human errors and bias. To address this challenge, we need an efficient and equitable system […]
Introducing AI-Powered Analysis for Early Detection
Objective: In the mental health domain, professionals struggle to process and interpret voluminous patient data, including clinical notes, self-reports, and social media posts. The complexity arises because signs of mental distress are often hidden in language nuances. Manual analysis is time-consuming and may miss important cues, causing delay in intervention. Solution: Utilized a modern AI […]
Transforming FinTech with AI-Powered Automation
Objective: In the financial technology (FinTech) sector, companies deal with huge amounts of data daily, which includes processing transactions, evaluating credit risk, detecting fraudulent activities, and providing personalized customer services. Manual processing is slow, error-prone, and cannot effectively leverage the large-scale data for insights or predictions. Solution: To address this, we propose an AI-powered tool […]
Upgrading FinTech Flash-Built Tools for Enhanced Accessibility and Improved User Experience
Objective: In the mental health domain, professionals struggle to process and interpret voluminous patient data, including clinical notes, self-reports, and social media posts. The complexity arises because signs of mental distress are often hidden in language nuances. Manual analysis is time-consuming and may miss important cues, causing a delay in intervention. Solution: Designed AI tool […]
