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PII Video Anonymization

Video Anonymization: Protect Privacy and Monetize Data

Introduction The global video surveillance market is likely to gain momentum from the increasing usage of deep learning technology in Smart City, Healthcare, Retail, and Autonomous vehicles. The recently published report by Fortune Business Insights™, titled, Forecast, 2021-2026 mentions that the video surveillance market size…

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video Resolution

Reduce cost and Monetize Video Streaming with AI/ML

Background Video streaming is predicted to account for a staggering 82 percent of the total internet traffic by 2022. From basic android mobile to 4K premium tv – viewers are watching content on devices with varied resolutions, compute & capability. The massive amount of data…

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Living Room with Flat TV Screen on Wall Near Sofa Set

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 &[…]

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Laptop on table representing Quantization of Neural Network Model for AI Hardware

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[…]

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smart retail

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[…]

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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[…]

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data discipline in large organization

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[…]

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Compute-near-Storage-Cloud

Compute near Storage in Cloud for FPGA acceleration

Background This blog outlines the advantages of compute attached to storage and reference architecture to implement it in cloud with FPGAs. Almost all the deep learning algorithms are very memory intensive and it takes more energy (power) to get data into and out of the CPU/GPU than the compute itself. Optimal sche[…]

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