# idc Published articles for idc. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Seagate and WD AI Storage Research Finds Enterprises Rank Storage Above Compute as the AI Bottleneck DevFeed: [Seagate and WD AI Storage Research Finds Enterprises Rank Storage Above Compute as the AI Bottleneck]() Original publisher: [Read original article]() Author: Lyle Smith Published: 2026-09-15T17:23:54Z Content type: news Language: en Sources: [StorageReview.com]() Topics: [Data Infrastructure](), [AI Infrastructure](), [idc](), [Inference](), [Retrieval-Augmented Generation](), [synthetic-data]() Tags: [ai](), [compute](), [data-infrastructure](), [datasets](), [enterprise](), [genai](), [hdd](), [idc](), [inference](), [reports](), [research](), [retrieval](), [storage](), [synthetic-data]() ### AI overview Seagate and WD published separate studies indicating that AI is increasing enterprise storage requirements and extending data retention. Although their headline percentages differ because they asked different questions, both reports point to storage becoming a larger part of AI infrastructure planning alongside growing archive and retrieval needs. ### Source excerpt Seagate and WD published separate AI storage studies within days of each other; the headline numbers: Seagate says 99% of enterprises expect AI to increase their storage requirements over the next three years, while WD's IDC research puts the comparable figure at 74%. Read the fine print, and both reports land in the same directional The post Seagate and WD AI Storage Research Finds Enterprises Rank Storage Above Compute as the AI Bottleneck appeared first on StorageReview.com. ## Higher prices can't crimp server sales as AI drives demand DevFeed: [Higher prices can't crimp server sales as AI drives demand]() Original publisher: [Read original article]() Author: Dan Robinson Published: 2026-09-11T14:27:00Z Content type: news Language: en Sources: [www.theregister.com - Articles]() Topics: [Server]() Tags: [ai](), [ai-and-ml](), [enterprise](), [government](), [idc](), [pc](), [sales](), [server](), [systems]() ### AI overview Server shipments are rising as AI demand drives spending by hyperscalers, enterprises, and government buyers. ### Source excerpt Shipments rise with enterprise and government buyers joining the hyperscaler spending spree ## Best Servers 2026: Lab-Tested Picks by Category DevFeed: [Best Servers 2026: Lab-Tested Picks by Category]() Original publisher: [Read original article]() Author: Brian Beeler Published: 2026-09-02T01:19:39Z Content type: comparison Language: en Sources: [StorageReview.com]() Topics: [Server](), [benchmarking](), [Hardware](), [dell](), [idc](), [intel](), [systems]() Tags: [2025](), [2026](), [dell](), [hardware](), [idc](), [infrastructure](), [intel](), [review](), [scale](), [september-2026](), [servers](), [software]() ### AI overview This September 2026 comparison ranks lab-tested servers by category. It identifies the Dell PowerEdge R7725 as the best overall 2U server, the Dell PowerEdge R770 as the best Intel 2U server, and the Dell PowerEdge R7725xd as the best 2U storage server. It also discusses Lenovo and Supermicro alternatives and provides market context from IDC data, including strong growth driven largely by ODM hardware and AI rack systems. ### Source excerpt Published September 2026. Rankings reflect systems tested in the StorageReview lab; market context reflects IDC 1Q 2026 tracker data. The server market set an all-time record in 2025 at $444 billion and opened 2026 with first-quarter revenue up another 30 percent, and almost none of that tells you which server to buy. Half of the The post Best Servers 2026: Lab-Tested Picks by Category appeared first on StorageReview.com. ## AI consolidation: Why platforms will win and portfolios will break DevFeed: [AI consolidation: Why platforms will win and portfolios will break]() Original publisher: [Read original article]() Author: Jesse Sladek Published: 2026-08-04T00:00:00Z Content type: article Language: en Sources: [Elastic Blog - Elasticsearch, Kibana, and ELK Stack]() Topics: [Artificial Intelligence](), [AI Infrastructure](), [Architecture & Design](), [data](), [idc]() Tags: [ai](), [architecture](), [complexity](), [data](), [enterprise](), [idc](), [infrastructure](), [integrations](), [metrics-platform](), [platform]() ### AI overview The article argues that enterprises deploying AI need unified data infrastructure and architecture because fragmented point solutions create integration friction, complexity, and delayed ROI. It presents Elastic's platform approach, built around a shared data layer, indexing system, query layer, and data store, as a way to help partners scale AI delivery and capture more value. ### Source excerpt Our partners are proof that getting this architecture right drives real success. By building on Elastic's unified platform rather than a fragmented portfolio, they bypass the friction of integrating disparate tools. ## Closing the AI gap: How next-generation knowledge access unlocks mission outcomes for government DevFeed: [Closing the AI gap: How next-generation knowledge access unlocks mission outcomes for government]() Original publisher: [Read original article]() Author: Oksana Abramovych Published: 2026-07-31T00:00:00Z Content type: article Language: en Sources: [Elastic Blog - Elasticsearch, Kibana, and ELK Stack]() Topics: [AI search]() Tags: [agentic-ai-generative-ai-knowledge-base-search](), [ai](), [ai-agents](), [government](), [idc](), [public-sector](), [retrieval](), [scale](), [search](), [security]() ### AI overview The article discusses the difficulty public-sector organizations face when scaling AI and presents governed, federated knowledge access as a foundation for responsible deployment. ### Source excerpt IDC research shows 72% of US public sector leaders struggle to scale AI. Learn how federated knowledge access unlocks mission outcomes. ## Worth Reading 071926 DevFeed: [Worth Reading 071926]() Original publisher: [Read original article]() Author: Russ Published: 2026-07-19T12:25:09Z Content type: article Language: en Sources: [rule 11 reader]() Topics: [Ethernet](), [Language models](), [data centers](), [Server](), [WebRTC](), [Streaming](), [Web](), [idc](), [Google Meet]() Tags: [data-centers](), [ethernet](), [idc](), [model](), [server](), [video](), [web](), [webrtc](), [worth-reading]() ### AI overview A developer-oriented roundup covering Ethernet switch and server-market statistics, the need to treat language-model output as untrusted, video delivery technologies including WebRTC and DASH, AI-mediated content consumption, and the potential costs and environmental effects of data centers in low Earth orbit. ### Source excerpt In fact, in Q1 2026, the Ethernet switch market grew faster than the overall server market did according to the latest statistics from IDC. We are tempted to treat a capable language model as a knowledgeable colleague whose conclusions we can accept. It is more accurate, and more useful, to treat it as an untrusted component that produces plausible output which must be checked before it is relied upon. In my view, MoQ occupies a middle ground between WebRTC (which is used for lots of video conferencing applications like Google Meet) and DASH (Dynamic Adaptive Streaming over HTTP) which powers most entertainment video streaming on the web. Content consumption is detached from the website itself, as users rely on AI-driven systems to aggregate, summarize and contextualize information without visiting the original source. Instead of researching across multiple tabs, readers ask an AI system to do the work for them. Shifting data centers from earth to space has become an alternative touted as solving concerns without generating new ones. In sun synchronous, low Earth orbit, orbiting data centers ("ODCs") may have comparatively less environmental impact and lower operating costs. ## Research, Satellite Communications, Software Security, and AI-Powered Attacks DevFeed: [Research, Satellite Communications, Software Security, and AI-Powered Attacks]() Original publisher: [Read original article]() Author: Russ Published: 2026-05-12T12:05:05Z Content type: article Language: en Sources: [rule 11 reader]() Topics: [Artificial Intelligence](), [data](), [idc](), [Software](), [Mobile]() Tags: [academic-research](), [ai](), [ai-adoption](), [attacks](), [communications](), [data](), [idc](), [software](), [worth-reading]() ### AI overview This roundup references academic research, the history of Motorola's Iridium satellite mobile telephony service, progress in software security, and the risk that rapid AI adoption may undermine that progress. It also cites IDC's projection about future data generation and warns enterprises about AI-powered attacks. ### Source excerpt The screenshot feature has cultivated a wide range of impactful academic research across computing and social scientific fields. When Motorola unveiled its Iridium global satellite-based mobile telephony service in the late 1990's everything augured well for a revolution in the satellite communications market, only it didn't happen. While the software industry has made genuine strides over the past few decades to deliver products securely, the furious pace of AI adoption is putting that progress at risk. The analytic company IDC says the U.S. economy will be generating 394 trillion zettabytes of data annually by 2028 (a zettabyte is a trillion gigabytes). Enterprise strategists need to worry about securing their environments against AI-powered attacks. ## IDC study says the global workforce engaged in software design is expanding DevFeed: [IDC study says the global workforce engaged in software design is expanding]() Original publisher: [Read original article]() Author: Figma Published: 2025-09-03T00:00:00Z Content type: article Language: en Sources: [Figma Blog]() Topics: [idc](), [User experience (UX)](), [Figma](), [Generative AI](), [software-development]() Tags: [2025](), [design](), [figma](), [genai](), [idc](), [product-development](), [software-design](), [ux](), [ux-design]() ### AI overview An IDC study forecasts that the global workforce involved in software design and development will grow by more than 30%, from 107 million workers in 2025 to 144 million in 2029. UX design is expected to grow faster than other knowledge-worker categories, while generative AI accelerates product development and raises expectations for usable, visually appealing AI features. ### Source excerpt IDC forecasts that the number of people involved in software design will increase by more than 30% from 2025 to 2029--signaling the rising importance of design as a competitive differentiator. ## IDC Research Examines Fermyon's WebAssembly PaaS and Serverless AI Announcement DevFeed: [IDC Research Examines Fermyon's WebAssembly PaaS and Serverless AI Announcement]() Original publisher: [Read original article]() Author: Tim Enwall Published: 2023-10-18T12:00:00Z Content type: news Language: en Sources: [Fermyon - Experience the next wave of cloud computing.]() Topics: [Serverless](), [WebAssembly](), [idc](), [Artificial Intelligence]() Tags: [ai](), [announcement](), [idc](), [research](), [serverless](), [webassembly]() ### AI overview The article discusses IDC Research's examination of Fermyon's WebAssembly PaaS and Serverless AI announcement. ### Source excerpt IDC Research looks at Fermyon's WebAssembly PaaS and Serverless AI announcement ## Why are Enterprises Shifting to Containers with Kubernetes in 2022? DevFeed: [Why are Enterprises Shifting to Containers with Kubernetes in 2022?]() Original publisher: [Read original article]() Author: Kirby Wadsworth Published: 2022-03-29T12:00:50Z Content type: article Language: en Sources: [ionir]() Topics: [Kubernetes](), [Containers](), [data](), [Docker Compose]() Tags: [app-performance](), [blog](), [cloud-native](), [container](), [container-native](), [containers](), [data-mobility](), [idc](), [kubernetes](), [recent-posts-featured](), [stateful](), [storage](), [survey]() ### AI overview The article explains why enterprises are moving workloads to containers with Kubernetes, focusing on resource utilization, data mobility, application performance, stability, portability, and support for stateful workloads through container-native storage. ### Source excerpt Vendor agnostic. Better resource utilization. Enhanced portability. Sounds like the making of one incredible data mobility cocktail! The key ingredient here is leveraging containers with Kubernetes (K8s). And we're not the only ones advocating to adopt containers for amplified data mobility. The post Why are Enterprises Shifting to Containers with Kubernetes in 2022? appeared first on ionir. ## Helios: hyperscale indexing for the cloud & edge - part 1 DevFeed: [Helios: hyperscale indexing for the cloud & edge - part 1]() Original publisher: [Read original article]() Author: adriancolyer Published: 2020-10-26T20:22:00Z Content type: article Language: en Sources: [Adrian Colyer]() Topics: [data-processing](), [big-data](), [Cloud](), [distributed-systems](), [data](), [Edge](), [Microsoft](), [client](), [servers]() Tags: [architecture](), [big-data](), [cloud](), [data](), [data-processing](), [datastores](), [distributed](), [distributed-computing](), [edge](), [idc](), [latency](), [microsoft](), [paper](), [real-time](), [server](), [streams](), [systems](), [uncategorized]() ### AI overview This first part of a discussion of Helios examines its role as a reference architecture for distributed big-data systems. It describes the pressures driving cloud platforms toward new approaches, including growing data volume, variable arrival rates, lower latency, reduced data-center costs, and stronger privacy considerations. ### Source excerpt Helios: hyperscale indexing for the cloud & edge, Potharaju et al., PVLDB'20 On the surface this is a paper about fast data ingestion from high-volume streams, with indexing to support efficient querying. As a production system within Microsoft capturing around a quadrillion events and indexing 16 trillion search keys per day it would be interesting in its own right, ... Continue reading Helios: hyperscale indexing for the cloud & edge - part 1