Tag: NeuralStreamAutomations
-
LLaMa and GPT: A Comparative Analysis for Chatbot Development
In the rapidly evolving field of artificial intelligence, Large Language Models (LLMs) have become pivotal in developing sophisticated chatbots. Two prominent models, LLaMa (Large Language Model Meta AI) and GPT (Generative Pre-trained Transformer), have gained significant attention. This article explores both models from the perspective of AI Chatbot development, highlighting their strengths and limitations. LLaMa:…
-
Mastering RPA Implementation: Best Practices for Success with NeuralStream Automations
NeuralStream Automations, where we believe that successful RPA implementation is not just about using cutting-edge technology but also about following best practices. In this article, we’ll dive deep into the key strategies and considerations for implementing RPA effectively using our suite of products: NeuralFlow, NeuralFlow Agents, Control Panel, and NeuralXtractor (Intelligent Data Extraction). 1. Define…
-
Automating Invoice Data Extraction and ERP Integration with NeuralFlow (RPA) and NeuralXtractor (IDE)
Automating Invoice Data Extraction and ERP Integration with NeuralFlow and NeuralXtractor. Improving the accuracy to 100%, Cost Saving by 70% & 20x Faster!
-
The Strategic Advantage of a Single Vendor Approach in RPA and Intelligent Data Extraction
In the dynamic landscape of Robotic Process Automation (RPA) and Intelligent Data Extraction, businesses often face the crucial decision of selecting vendors for their automation needs. While some may opt for a piecemeal approach, leveraging different vendors for RPA and Intelligent Data Extraction solutions, a strategic advantage lies in embracing a single vendor for both…
-
Unveiling the Power of Attended and Unattended Agent Bots in Robotic Process Automation
In the dynamic world of Robotic Process Automation (RPA), where being efficient and using automation are very important, choosing between Attended and Unattended Agent Bots is a crucial decision for businesses that want to make their operations smoother and get more work done. Having worked directly with RPA and accumulated 28 years in the IT…
-
The Future of Robotic Process Automation (RPA) is with Generative AI
Current RPA Situation: Robotic Process Automation (RPA) has garnered significant attention in recent years, with organizations across various industries adopting this technology to streamline their operations and improve efficiency. According to a report by Grand View Research, the global RPA market size was valued at USD 1.57 billion in 2020 and is expected to reach…
-
Unlocking the Potential of Robotic Process Automation: A Strategic Approach
In today’s rapidly evolving business landscape, Robotic Process Automation (RPA) stands as a transformative force, promising increased efficiency, reduced costs, and enhanced productivity. Yet, for many small to medium enterprises, navigating the realm of RPA implementation can be daunting. The key challenge lies in identifying the right processes for automation — a critical step that…
-
20 Reasons Why RPA (Robotic Process Automation) Projects Fail and How to Overcome Them
Robotic Process Automation (RPA) has revolutionized Small, Medium and Large businesses by automating mundane and repetitive tasks, improving efficiency, accuracy, and reducing costs. However, despite its numerous benefits, many RPA projects fail to deliver the expected results. In this blog, we’ll explore 20 common reasons why RPA projects fail and provide actionable solutions to overcome…