Intelligent document processing (IDP), an emerging category of artificial intelligence (AI), is captivating industries worldwide. As the shift towards digitalization continues, IDP has become a crucial instrument for automating the processing of copious amounts of unstructured data. IDP employs technologies like machine learning, deep learning, and expert systems to meticulously analyze, categorize, and draw valuable information from unstructured documents.
Innovative advanced document understanding has risen from the IDP sector. It is equipped to comprehend and respond to a variety of prompts, including written instructions, mathematical problems, and image analysis, thanks to the capabilities of AI.
AI exhibits diverse models, such as dynamic content suggestions on social media, self-driving vehicles, and generative AI. Notably, AI is categorized into machine learning, deep learning, and expert systems. When unified, these technologies create a powerful tool – advanced document understanding.
Global spending on AI technology is anticipated to surpass $500 billion in 2023, covering a range of AI applications like generative AI, predictive analytics, natural language processing, and computer vision. The use of AI is becoming widespread, as evidenced by the increasing number of AI capabilities used by businesses.
The implementation of AI solutions should follow specific steps including defining business needs, setting short-term goals, evaluating business capabilities, preparing data, and starting small. One such solution is Lazarus AI’s RikAI platform, a next-generation IDP tool that simplifies the data extraction process from any document, proving the efficacy of advanced document understanding.