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Unstructured Content in Financial Services

How can you Avoid the Increasing Challenges of Unstructured Content in Financial Services?

In recent times, financial services involve extensive unstructured data sets that are constantly increasing in complexity and variety. Given this ambiguity, it becomes challenging for businesses to manage this unstructured data in a database format. Also, the complex nature of this unstructured data can remain hidden in various places. Your employees might have to spend […]
Intelligent document processing for Banks

Intelligent Document Processing – A Pre-Requisite for Organisations

Data is a component that is extremely important for organisational development and daily workflow. However, one of the never-ending challenges that many enterprises face today is to use the abundant data at their disposal in brilliant ways that are most significant to their growth, development and success.   Even for the human task force, processing […]
Automating the Auditing Procedure Using AI

How Can AI Change the Audit Procedure and Ensure Compliance?

Artificial Intelligence programmes are steadily changing our personal and professional lives. You can now apply machine learning to banks, financial services and insurance industries worldwide. The focus is on delivering AI as a service and using a self-developed machine learning platform to solve customer analytics and automation issues. Multiple AI-enabled platforms and algorithms extract deep […]
NLP Solution in Aviation

NLP in Aviation –  A Revolution

Thanks to chatbots and personal assistants, Natural Language Processing (NLP) – an AI-based technology, has become an imperative part of our daily lives. People may have just heard of the term, but few understand the complexities of NLP algorithms and how we use them every day.   You can place NLP solutions into three comprehensive […]
Intelligent Document Processing for Banks

Intelligent Document Processing for Banks

Intelligent Document Processing (IDP) is an AI-based technology that retrieves big data and uses machine learning to process and improve it with less human intervention. It is different from traditional stand-alone Optical Character Recognition (OCR) solutions, wherein it uses AI to combine robotic process automation with OCR. It can be challenging for traditional technology to […]

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