Introduction Enterprises often face challenges when it comes to managing their warehouses and ensuring the smooth transfer of products. With an enterprise growing big, the challenges of managing inventory also rise. This results in enterprises spending a large amount on managing the inventory leading to large expenses. However, […]
Impact of AI and ML on video streaming devices for the better TV experience
Background Artificial intelligence (AI), with machine learning (ML) and deep learning (DL) technologies, promises to transform every aspect of businesses, devices, and their usage. In some cases, it enhances the current process, and in some cases replaces them. As video streaming devices (including TV &[…]
Quantization of Neural Network Model for AI Hardware
Background In recent years, deep learning-based Artificial Intelligence (AI) and Machine Learning (ML) models are moving from cloud to the edge devices for various factors such as bandwidth as in Figure-1. Power consumption, latency, hardware size are important aspects for inference at the edge. Moreover, The Models developed in the cloud[…]
Smart Retail – Digital Transformation of Retail Business
Background Retail is going through a massive transformation in multiple fronts. Online Stores are racing ahead with several advantages compared to Offline stores. The data collected by the online stores about the buyers is becoming a huge advantage to target products and to come up with merchandise that is likely to address[…]
Customizing a Propensity To Buy Model
Background This blog outlines the steps involved and things to care about for transfer learning a propensity model. Sales team members could be inundated with several prospects. The best use of their time is by lead scoring and focusing on the prospects that have best chance to close. A Propensity-To-Buy model helps[…]
Data Discipline in large Organizations
Background Data is the new Oil. Companies should treasure data. The new class of powerful Machine Learning (ML) and Artificial Intelligence (AI) algorithms are data hungry and are as good as the data provided to them. Several useful (profitable) insights can be derived from data across the organization benefiting different[…]