Nanonets

JULY 25, 2023

What is financial data analysis? Gartner defines financial analysis as the process that provides “insight into the financial performance of an organization.” How is financial data analysis used in business?

Financial Analysis 52

Financial Analysis Payment APIs and Integration Assessments Automation 52

Nanonets

AUGUST 21, 2024

Introduction Retrieval-augmented generation (RAG) systems are transforming AI by enabling large language models (LLMs) to access and integrate information from external vector databases without needing fine-tuning. The database returns a list of the top documents or data snippets that are semantically similar to the query.

Database 52

Database Returns Process AI 52

Nanonets

SEPTEMBER 18, 2024

Enter financial document automation, a game-changing solution revolutionizing how companies handle their paperwork, regardless of size or industry. Financial document automation Financial documents of different types Every company, regardless of its primary business focus, deals with finance-related activities.

Automation 52

Automation Audit Payment APIs and Integration Compliance 52

Nanonets

JUNE 25, 2024

Think of it as giving each expense its own 'address' in your financial records. Detailed invoice coding enables accurate budget tracking, easier reporting, faster approvals, and better financial analysis. These codes, often called General Ledger (GL) codes, categorize expenses for accounting purposes.

Automation 52

Automation Payment APIs and Integration Rules Process 52

Nanonets

APRIL 15, 2024

These may include outstanding checks, deposits in transit, bank errors, timing differences, and any other discrepancies that need to be addressed. Fraudulent activities, such as unauthorized withdrawals or forged checks, can lead to discrepancies and must be promptly addressed.  

Reconciliation 52

Reconciliation Adjustments Correspondent Checks 52

Nanonets

JUNE 27, 2023

NLP techniques are then applied to identify and extract relevant data, such as names, addresses, dates, and numbers. They can integrate with various software applications, databases, and enterprise resource planning (ERP) systems across the automotive value chain. AI-based OCRs can also integrate with multiple systems.

Payment APIs and Integration 52

Payment APIs and Integration AI Automation Process 52

Nanonets

MARCH 30, 2023

The extracted text is then processed using NLP techniques to identify and extract relevant data such as names, addresses, dates, and numbers. The final output is a structured data format that can be easily integrated into other systems, such as databases or business intelligence tools, for further analysis and reporting.

Process 52

Process Automation Compliance Volume 52