Speech to Text

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Speech to Text

Our Speech to Text platform is an advanced tool that can help businesses build Natural Language Queries with Speech Inputs. The system translates and transcript languages. It can understand and convert spoken language into text using Natural Language Processing (NLP). One-of-a-kind features like automatic summarization, sentiment analysis, and topic modeling help you have a deeper understanding of the conversations. Plus, the multilingual translation support will make the conversation & exchange of thoughts precise and clear. Enterprises can deploy it on premises in their cloud for internal applications without having to send data to any external services. With its powerful real-time speech recognition capabilities, the engine can quickly and accurately convert speech into text, making it a valuable asset for businesses that need to communicate across language barriers.

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How to spot fake bank statements

How to Spot Fake Bank Statements

With evolving digital transactions and sophisticated fraud techniques, the need for robust fraud detection mechanisms is equally increasing. One area where this is particularly pertinent is in identifying fake bank statements, a common tool fraudsters use to manipulate financial information.    Imagine a slow and error-prone verification process trying to interpret the increasingly sophisticated tactics […]
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Top Trends in Investment Banking

Top Trends in Investment Banking

The investment banking sector is currently grappling with several challenges. These include dealing with capital charges, digital adoption, rigid cost structure, intricate and layered technological stacks, and increased regulatory demands. As a result, various investment banks shifted their emphasis from conventional underwriting services to concentrate more on alternatives such as mergers and acquisitions and fundraising […]
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AI for Fraud Detection
   

Leveraging AI for Advanced Lending Fraud Detection

Fraud has plagued the lending industry for many years. Fraudulent behavior in lending can take many forms, including identity theft, loan stacking, and money laundering. To combat these issues, lenders increasingly turn to artificial intelligence (AI) for fraud detection. AI has the potential to transform fraud detection in lending by enabling lenders to analyze vast […]
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