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AI-Driven Compliance: The Key to Cloud Security
By Michael Massimi and Abhijit Chakravorty—-The growth of cloud computing continues unabated, but it has also created security challenges. The acceleration of cloud adoption has created greater complexity, with limited cloud technical expertise available in the market, an explosion in connected and Internet of Things (IoT) devices and a growing need for multi-cloud environments. When clients migrate to the […]
How to Rethink Storage for AI Workloads
By Weka—New technologies are emerging in the AI world, and if you do not embrace them, you will be left behind. Gartner research found that 85% of companies are embarking on AI projects even though AI workloads present unique challenges, things that even data storage veterans have never faced before. This means that IT infrastructure […]
Unleashing innovation via Composable Cloud: Customizing AI tech stacks for inference at the edge
By Kevin Cochrane—-Edge operations dominate the CTO agenda today, and as artificial intelligence (AI) and machine learning grow increasingly important across business operations, the CIO, CAIO, CDO, and other leaders are joining the conversation, leaning into edge operations to deliver AI at scale. However, the traditional edge operations designed to support distributed web apps can’t […]
Top 5 Enterprise Hybrid Cloud SDS NAS Solutions
By Todd Dorsey, DCIG senior storage analyst— An outcome of Data Center Intelligence Group (DCIG) research in Software Defined Storage for file storage, this report provides guidance on its Top 5 enterprise SDS NAS solutions with analysis of Ctera Enterprise File Services Platform, IBM Storage Scale, Nasuni File Data Platform, NetApp Cloud Volumes, and OSNexus […]
AI Evolution: Challenges Persist Despite Growing Optimism
By Ali Azhar —The majority of business leaders and technical analysts believe that AI is an essential tool for business sustainability. Nearly 3 in 4 decision-makers believe that not investing in AI puts their business at risk of failure, according to a report by Exasol, a high-performance analytics database provider. The Exasol report is based […]
The Future of AI Is Hybrid
By Alex Woodie—Artificial intelligence today is largely something that occurs in the cloud, where huge AI models are trained and deployed on massive racks of GPUs. But as AI makes its inevitable migration into to the applications and devices that people use every day, it will need to run on smaller compute devices deployed to […]
2024 Cloud Predictions
By Alex Woodie–For many, the cloud is already the defacto platform for storing and processing big data. In 2024, industry experts predict cloud computing will grow and evolve into something different as the data gets bigger and analytics and AI become more critical to business success. Surprise bills have cast a cloud of sorts on […]
A New Era in Clinical Trials
By Edward Triebell Current industry challenges present an opportunity for innovation and the adoption of new solutions, particularly in addressing barriers related to patient recruitment, engagement, and retention. The COVID-19 pandemic opened the door for some significant and noteworthy changes to the way our industry could accomplish clinical trials with a forced mandate to decentralize […]
How Hybrid AI Will Enable Far Greater AI Use
By Rob Enderle –Let’s talk about some of the benefits of a hybrid approach to AI implementation on the desktop and in smartphones. Lower Costs and Server Loading As we ramp up large language models (LLMs), we are discovering that they use a lot of resources that create capacity issues even though the use of […]
Key Findings on AI in the SaaS Industry
By Ali Azhar–The software-as-a-service (SaaS) industry has witnessed an AI rush in 2023, primarily as a result of the increase in the capabilities and demand for generative AI. While the surge of AI can help support innovation in the SaaS industry, there are some concerns about the quality of data being used by AI. Panintellgence, a […]
