IGT Solutions Partners With AWS To Launch TechBud.AI
IGT Solutions' newly unveiled Recruitment.AI platform
IGT Solutions Partners With AWS To Launch TechBud.AI
New Delhi: In a groundbreaking move set to revolutionise business operations, IGT Solutions on Thursday said it has partnered with Amazon Web Services (AWS) to launch TechBud.AI, a cutting-edge Generative AI platform aimed at streamlining recruitment and procurement processes.
This collaboration marks a significant step forward in harnessing the power of Generative AI to drive efficiency and innovation across industries.
IGT Solutions' newly unveiled Recruitment.AI platform, built on AWS's robust cloud infrastructure, is poised to redefine the hiring landscape.By leveraging advanced large language models and machine learning capabilities, the system automates critical aspects of the recruitment process, from resume screening to candidate assessment.
"With Recruitment.AI, we're not just accelerating hiring - we're elevating the entire candidate experience. Our platform can efficiently process over 30,000 resumes annually, ensuring we identify the best talent for our clients. We have seen over 99 per cent accuracy in resume screening and close to 81 per cent reduction in time to hire by leveraging AWS GenAI Stack (Amazon Bedrock and Amazon Sagemaker)" said Navneet Taneja, CBO at IGT Solutions.
Key features of Recruitment.AI include automated resume collection from multiple external channels; AI-driven candidate shortlisting based on qualifications and experience; enhanced candidate categorization for optimal job matching based on rating; automated Interview scheduling and candidate on boarding.
Complementing its recruitment innovation, IGT Solutions has also unveiled Procurement.AI, a sophisticated platform designed to transform contract management and vendor evaluation processes. Built on AWS's scalable cloud services, this solution bolsters security access and uncovers hidden patterns via deep analytics and addresses the challenges faced by enterprises dealing with vast numbers of complex procurement documents.