Hyve Solutions Corporation, a wholly owned subsidiary of TD SYNNEX Corporation (NYSE: SNX) and a leading provider of hyperscale digital infrastructures, today announced it has become a design partner for the NVIDIA HGX platform. This designation marks a significant milestone in Hyve’s focus on accelerating artificial intelligence (AI) in the datacenter and at the edge.
Leveraging Big Data for Enhanced Cybersecurity Solutions
May 3, 2024 by Leave a Comment
In this contributed article, Alexander Norell of VikingCloud explores how big data analytics can significantly improve cybersecurity strategies by enabling more accurate threat detection and real-time response capabilities.
Big AIs in Small Devices
May 3, 2024 by Leave a Comment
In this contributed article, Luc Andrea, Engineering Director at Multiverse Computing, discusses the challenge of integrating increasingly complex AI systems, particularly Large Language Models, into resource-limited edge devices in the IoT era. It proposes quantum-inspired algorithms and tensor networks as potential solutions for compressing these large AI models, making them suitable for edge computing without compromising performance.
In 2024, Data Quality and AI Will Open New Doors
May 1, 2024 by Leave a Comment
In this contributed article, Stephany Lapierre, Founder and CEO of Tealbook, discusses how AI can help streamline procurement processes, reduce costs and improve supplier management, while also addressing common concerns and challenges related to AI implementation like data privacy, ethical considerations and the need for human oversight.
Why Integration Data is Critical for Powering SaaS Platforms’ AI Features
April 29, 2024 by Leave a Comment
In this contributed article, Gil Feig, co-founder and CTO of Merge, discusses how integration data can support AI features and why without successful product integrations, successful AI companies would not exist.
Avoid these 8 Data-related Mistakes on Data Projects
April 29, 2024 by Leave a Comment
This article is excerpted from the book, “Winning with Data Science: A Handbook for Business Leaders,” by Howard Friedman and Akshay Swaminathan with permission from the publisher, Columbia Business School Publishing. The article covers how to avoid 8 data-related mistakes on data projects
How to Use Raw Data in Web Analytics
April 25, 2024 by Leave a Comment
In this contributed article, Mateusz Krempa, Chief Operations Officer for Piwik PRO, explores the benefits and challenges of using raw data in analytics, and discusses its potential use cases for gaining valuable insights.
Heard on the Street – 4/25/2024
April 25, 2024 by Leave a Comment
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
Artificial Intelligence Means Smaller Teams Doing More with Less Makes the Small Autonomous Teams Structure Even More Important
April 24, 2024 by Leave a Comment
In this contributed article, Brady Brim-DeForest, CEO of Formula.Monks, discusses how the more that we incorporate AI technology into white collar workflows in large organizations, the more that it becomes important to lean into the work structures that make humans function at their best.
The Solution to Data in Motion Is to Just Stop
April 22, 2024 by Leave a Comment
In this contributed article, Sida Shen, product marketing manager, CelerData, discusses how data lakehouse architectures promise the combined strengths of data lakes and data warehouses, but one question arises: why do we still find the need to transfer data from these lakehouses to proprietary data warehouses? In this article, we’ll explore how to maximize the efficiency of lakehouses, eliminate data in motion, and streamline data management processes.
