AI for Banking Chatbots: Using Amazon Lex & Generative AI
Introduction to Next-Generation Chatbots In this era of rapid technological advancement, next generation chatbots are not just a leap forward; they're a giant leap into the future of banking. Imagine conversing with…
Emotional AI Applications and its Future Trends in Enterprises
Introduction to Emotional AI Humans have traditionally claimed supremacy over machines when it comes to understanding emotions. However, this will only be the case for a while. While some may…
Responsible AI in Automotive Industry: The Challenges
Introduction to Responsible AI in Automotive From designing robots to self-driving cars, AI has transformed the automobile industry. Artificial Intelligence transforms most aspects very fast. It changes the process from…
Transforming Business Operations with Microsoft Dynamics CoPilot
In the ever-changing landscape of today's business environment, where customer expectations are continuously evolving, the role of efficient and personalized customer relationship management (CRM) cannot be overstated. Microsoft Dynamics Co-pilot…
Edge AI vs Federated Learning: Complete Overview
Federated Learning Overview Federated learning is a Machine Learning technique that involves training an algorithm through several decentralized edge devices or servers that carry local data samples without sharing them. This method…
Amazon HealthLake for Synthetic Data Generation and Medical Imaging Analysis
Overview of Amazon HealthLake Healthcare data is a treasure trove of insights, but managing it can be complex and time-consuming. Enter Amazon HealthLake, a cloud-based Amazon Web Services (AWS) service…
Top RPA Use Cases for Industry Automation
Overview of Robotic Process Automation (RPA) Humans are entering a new era of automation. Robotic Process Automation (RPA) is one transformation that automates our daily repetitive tasks. Like AI in RPA and…
RPA in Data Analytics: The Complete Guide
Robotic Process Automation (RPA) in data analytics uses automation technology to streamline data-related tasks, improving efficiency and accuracy. Key features include: Overall, RPA in data analytics empowers businesses to enhance…
Intelligent Edge Types and Use Cases: Ultimate Guide
Introduction to Intelligent Edge The intelligent edge is the processing and solution development of data on the location where it is generated. Using this approach, it technology can minimize latency,…
Business Intelligence in Healthcare Industry: Tools and Use Cases
Introduction to Business Intelligence in Healthcare Healthcare Business Intelligence (BI) collects and analyses many forms of healthcare data, such as medical history and financial information. The Covid-19 pandemic has brought…