I've always had a passion and curiosity for technology, which started at a young age, where I was raised in India – ultimately resulting today in a fulfilling, a quarter-century-long career in Silicon Valley. It has been an exciting ride. What drew me to Automation Anywhere is our vision to create software bots that can automate repetitive, manual business tasks, and free our minds to focus on the more creative, strategic, high-level work. Before Automation Anywhere, I held leadership roles at various companies including Ericsson, running global R&D for all digital products, and before that, at Citrix – in the cloud and enterprise groups, after co-founding a security start-up that was acquired by Citrix. My role has changed as the market and the world has changed.

I hate to break it to you, but AI is boring. For years, we've been sold the idea that artificial intelligence (AI) is a hard-to-understand, futuristic technology reserved for tech giants like Amazon and Facebook. In the beginning, cost and technological barriers meant that AI users belonged to a pretty exclusive club. Even so, the technology has fueled innovation for years and will undoubtedly fuel the next wave of innovation. We're already seeing that happen with evolutions like the metaverse and NFTs.

Obtaining Insights – While many service leaders jump to the cost savings potential of AI, one of AI's key benefits is in its ability to obtain insights and predictions. Insight generation allows organizations to move beyond cutting costs to generating value. Organizations can use these insights to guide agent and application decisions, ensuring customers receive the best service experience possible. Three examples of how AI is used to obtain insights in customer service are personalization, customer lifetime value and AI-based customer routing. Ensuring Optimal User Experiences – Another key benefit of AI is in how it creates optimal customer and agent experiences.

Organizations are devoting more resources to deploying intelligent document processing, particularly as they embark on digital transformations. As Deloitte explains, intelligent document processing automates the processing of data contained in documents -- understanding what the document is about, what information it contains, extracting that information, and sending it to the right place. According to Everest Group, the global market for intelligent document processing was worth between $700 million and $750 million in 2020. Leveraging a blend of AI, including computer vision and natural language processing, intelligent document processing can help to automate tasks like invoice processing, insurance claims, patient records, proof of delivery, and order forms. A range of startups offer these types of services, including Mindee, Zuva, Rossum, PandaDoc, and Anvil.

Botminds IDP components takes care the core cognitive need of the process automation - reading and understanding of the documents. Botminds IPA components helps you to automate the activities around it like loading documents from multiple sources, AI model supervision, AI orchestration, search within documents etc. This unlocks the power of artistically creating end-to-end automation by connecting together readily available blocks without having to worry about engineering, coding or machine learning algorithms.

According to Statista, the total enterprise data volume will double by 2022 worldwide, reaching more than 2 petabytes. And about 80% of this data will be unstructured (think: email, imaging, and other data that cannot be analyzed as is). Undeniably valuable sources of insight, the ever-growing volumes of unstructured data present a problem, though: handling it is less than rewarding for the human workforce. So, how do enterprises make the data they have drive real business value, and how do they do it without overburdening the employees? Intelligent document processing, or IDP for short, might be an answer.

Most researchers agree approximately 80% of any organization's data is hidden in multiple sources, such as emails, PDF application forms, and paper documents. This data often goes unused because of the time and resources required to get meaningful information from it. Even then, the data often needs to be manually rekeyed into multiple locations. Combined with Robotic Process Automation (RPA), IQ Bot enables banking, financial services, and insurance (BFSI) companies to take advantage of intelligent document processing (IDP) to extract valuable data and streamline operations. IQ Bot blends multiple artificial intelligence (AI) technologies, such as computer vision, machine learning, and natural language processing (NLP), to glean relevant information from any type of document, add structure to the data, and deliver the results to multiple applications.

Anyone with any doubts about the interest in AI and its use across enterprise technologies only needs to look at the example of the Intelligent Document Processing (IDP) market and the kind of verticals that are investing in it to quash those doubts. According to the Everest Group's recently published report, Intelligent Document Processing (IDP) State of the Market Report 2021 (purchase required) the market for this segment alone is estimated at $700-750 million in 2020 and expected to grow at a rate of 55-65% over the next year. Cost impact is now the key driver for intelligent document processing adoption, closely followed by improving operational efficiency and productivity. These solutions blend AI technologies to efficiently process all types of documents and feed the output into downstream applications. Optical character recognition (OCR), computer vision, machine learning (ML) and deep learning models, and natural language processing (NLP) are the key core technologies powering IDP capabilities.

If you are just about to start your IDP (Intelligent Document Processing) Project or you are seeking for the solution designed to capture data from the scanned documents (images) – it is a right time for you to look closer at image enhancement automated capability. It is better not to ignore this powerful automated feature in your IDP project if your ultimate goal is to achieve the best possible accuracy rate of the captured data. Image enhancement or sometimes we may call it document enhancement (document normalization) or image improvement is all about advanced automated techniques which help to make the original image better in terms of quality. In different integrated solutions - this feature "image enhancement" may perform different type of image improvement operations. As you may agree, the scanned documents may come to the processing in different quality and may not always be ideally scanned or photographed.

Automate data capture for intelligent document processing using Nanonets self-learning AI-based OCR. Process documents like Invoices, Receipts, Id cards and more!