Whatever your industry, AI workflow automation will go a long way in streamlining your process to achieve optimum and meaningful results, while reducing errors and costs. Businesses can scale their operations and grow at an enhanced pace with the adaptation of AI to...
Transforming Industries with AI Excellence
DeepKnit AI Blog

AI Automation in Finance, Healthcare, and Retail: Benefits and challenges
Since prehistoric ages human have used technology to make their day-to-day tasks easier, and the evolution of technology runs parallel to the evolution of us from the stone age man to the modern or...
How AI is Driving Next-Gen Automation in Every Industry
The adoption of Artificial Intelligence (AI) is perhaps the most significant leap that humans have made in the past couple decade or so. While the basics of AI-driven automation was proposed...
When to Use AI vs RPA vs IPA
Did you know more than half of the businesses that invest in automation end up wasting time, money and resources—all because they chose the wrong technology to solve their problem? Automation...
Definitions & Use Cases for AI and Intelligent Automation
Five years ago, it was estimated that by 2025, 50% of all business process automation will be automated using either Artificial Intelligence (AI) or Intelligent Automation (IA). Currently, 48% of...
Artificial Intelligence Automation: What It Is and How It’s Changing Business as We Know It
By 2028, it is expected that around 15% of day-to-day work decisions will be handled autonomously by smart AI agents. This seismic shift raises one obvious question: How will artificial...
Case Study: Automating Medical Report Generation for a Leading Healthcare Company
Executive Summary: A leading healthcare company was facing significant operational inefficiencies due to the manual, time-consuming, and error-prone process of creating medical history reports for...
Using AI to Clean and Standardize Patient Data
Maintaining proper and structured health records plays a vital role in providing accurate and efficient healthcare to patients. Discrepancies in these records like duplicate entries, inaccuracies of...
Limitations of AI in Medical Decision-making
Artificial Intelligence (AI) has made significant strides in revolutionizing diagnostics and enhancing operational workflows, but it still hasn’t matched the nuance and contextual thinking...
The Role of AI in Clinical Decision Support
The recent technological advancements have been revolutionizing the healthcare industry and the introduction of AI in clinical decision support has significantly improved clinician’s decisions and...