Abstract: Advanced analytics solutions that address the privacy, latency, and efficiency issues present in traditional centralized systems are imperative due to the swift growth of IoT devices.

In the business world today companies are really focused on turning data into information that they can actually use.

Venu Gopal Avula is an Enterprise Architect in SAP, Cloud, and AI technologies and has been working on the digital tra ...

Mukund Kalmanker, Global Head of Data, Analytics & AI at Apexon, brings over two decades of experience leading large-scale enterprise transformation initiatives, with a career spanning senior ...

Nathaniel T. Bradley is founder and CEO of Datavault AI, an AI-driven data monetization company. While algorithms are ...

Emerging technologies have expanded the opportunity to collect, manage, synthesize, and visualize educational “big data”. With the goal of maximizing ...

Kenya’s healthcare landscape is a paradox because it has plenty of data, but its potential remains underutilised.

A new study published in Big Earth Data proposes an AI cube framework that integrates GeoAI models into geospatial data cube ...

Rajan Sethuraman, CEO of LatentView Analytics, is a seasoned executive whose career spans consulting, talent leadership, and enterprise transformation, with leaderships at Accenture and KPMG before ...

Abstract: During this era of exponential growth in data volume, the most onerous challenge facing healthcare today is how to harness voluminous amounts of sensitive patient information to drive ...