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Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.
There are many areas of research and focus sprouting from the capabilities presented through LLMs. For instance, If you want to create a system to write blog entries, you might have a researcher agent, a writer agent and a user agent. In 2024, a new trend called agentic AI emerged.
New research from IBM finds that enterprises are further along in deploying AI applications on the big iron than might be expected: 78% of IT executives surveyed said their organizations are either piloting projects or operationalizing initiatives that incorporate AI technology. “By
The discovery of the vulnerability (CVE-2025-0108) was made by researchers at Assetnote and, according to researchers at Greynoise, is already being exploited. Assetnote published research about the hole on Wednesday. The issue doesnt affect the companys Cloud NGFW or Prisma Access software.
The architecture we unveiled today uses only liquid cooling, yielding greater energy and cost efficiency advantages than the alternative hybrid cooling solutions on the market,” said Antonio Neri, president and CEO of HPE, in a statement.
For starters, generative AI capabilities will improve how enterprise IT teams deploy and manage their SD-WAN architecture. Recent research from IDC digs into how SD-WAN will evolve with the integration of AI and machine learning capabilities to provide more advanced automation, management, and security functionality.
The research, released this week, analyzes the networking challenges, IT and business priorities, architectural maturity, and investment strategies of 2,052 IT professionals across 10 global industries. Network architectures are more sophisticated, more complex, and spread across more multi-clouds and multi-vendors than ever.
In our research, we’ve found the most successful organizations dedicated the first phase of their zero-trust initiatives to working out an architecture. Zero trust touches everything: identity, applications, networks, data, and devices. The best approach is not to change everything all at once. Instead, start with the big picture.
Zero Trust is a term coined by John Kindervag while he was an analyst at Forrester Research to describe a strategic framework in which nothing on the network is trusted by default – not devices, not end users, not processes. Everything must be authenticated, authorized, verified and continuously monitored.
How a topological qubit is built Microsoft published a paper today in Nature magazine that describes how the topological qubits exotic quantum properties were created and how researchers were able to measure them. The way it works is that four controllable Majoranas are joined together into the letter H with aluminum nanowires. It tiles out.
We are on the cusp of one of the most significant changes in the x86 architecture and ecosystem in decades – with a new level of customization, compatibility and scalability required to meet current and future customer demands,” said Intel CEO Pat Gelsinger in a statement.
Like enterprises writ large, data centers face major challenges in getting the right people with the right skills into the right roles,” Gina Smith, research director of IT skills for digital business at IDC, told Network World. For instance, according to Forrester, app development is on the decline (after hitting its peak in 2021).
New research from Enterprise Management Associates (EMA) identified how this convergence influences zero-trust strategy and implementation. EMAs latest research report, Zero Trust Networking: How Network Teams Support Cybersecurity, revealed that IT/OT convergence drives 38% of enterprise zero-trust security strategies.
The data center industry is up against significant challenges due in part to the rapid expansion of large data centers, according to Andy Lawrence, executive director of research at Uptime. For instance, AI systems are already reaching power levels of 100-120kW per rack, far exceeding typical data center densities, Uptime reports.
More about the research For our primary research, we interviewed more than 2,300 executive and senior IT and business leaders from organisations in 34 countries across North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. The report identifies that most CEOs view GenAI as transformational.
For example, the open-source AI model from Chinese company DeepSeek seems to have shown that an LLM can produce very high-quality results at a very low cost with some clever architectural changes to how the models work. Other research supports these growth projections.
More about the research For our primary research, we interviewed more than 2,300 executive and senior IT and business leaders from organisations in 34 countries across North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. The report identifies that most CEOs view GenAI as transformational.
The architecture aims to optimize deployment speed, performance, resiliency, cost, energy efficiency and scalability for current- and future-generation data centers. New data centers are built for accelerated computing and generative AI with architectures that are significantly more complex than those for general-purpose computing.
As the Ocelot architecture is advanced to include more physical qubits, and multiple error-corrected logical qubits that can perform logical computations at the logical qubit level, there is an opportunity for us, even if early, to provide access to customers to this early-stage hardware, Painter said. Its an inflection point, Mueller said.
With growing concerns over advanced threats, VPN security issues, network complexity, and adversarial AI, enterprises are showing increased interest in a zero trust approach to security and moving away from firewall-and-VPN based architecture. Only 15% do not have a plan to embrace zero trust this year.
More organizations than ever have adopted some sort of enterprise architecture framework, which provides important rules and structure that connect technology and the business. The results of this company’s enterprise architecture journey are detailed in IDC PeerScape: Practices for Enterprise Architecture Frameworks (September 2024).
5 key findings on encrypted attacks The ThreatLabz research team analyzed 32.1 Why comprehensive TLS/SSL inspection matters The foundation of Zscalers defense against encrypted threats is its full TLS/SSL inspection capabilities, enabled by a scalable proxy-based architecture.
VMware Tanzu RabbitMQ: “Secure, real-time message queuing, routing, and streaming for distributed systems, supporting microservices and event-driven architectures.” Asked for his reaction to the launch, John Annand, practice lead at Info-Tech Research Group, said, “there is a fun contrast in VMware by Broadcom these days.
The dual-port JBOF architecture is designed for active-active clustering, ensuring high availability for scale-up storage applications as well as scale-out storage such as object storage and parallel file systems. Companies are prioritizing investment in highly configured server clusters for AI, research firm Omdia reports.
DeepSeeks advancements could lead to more accessible and affordable AI solutions, but they also require careful consideration of strategic, competitive, quality, and security factors, says Ritu Jyoti, group VP and GM, worldwide AI, automation, data, and analytics research with IDCs software market research and advisory practice.
The demand for AI skills is projected to persistently grow as these technologies become more central to network engineering and architectural roles. A deep understanding of cloud platforms and services is essential, and this includes knowledge of cloud architecture, deployment models, and management tools.
As we outlined in previous research, Generative AI assistants known as TuringBots can serve as powerful tools to address some of the broader software development challenges. Specifically they help to automate a wide range of tasks throughout the software development life cycle (SDLC).
Our research shows 52% of organizations are increasing AI investments through 2025 even though, along with enterprise applications, AI is the primary contributor to tech debt. What part of the enterprise architecture do you need to support this, and what part of your IT is creating tech debt and limiting your action on these ambitions?
VMware by Broadcom has unveiled a new networking architecture that it says will improve the performance and security of distributed artificial intelligence (AI) — using AI and machine learning (ML) to do so. Zeus Kerravala, principal analyst at ZK Research, agreed. The way that they use the network is different. They’re very bursty.
Ullal’s statements are in agreement with recent research from the Dell Oro Group. AI cluster networking speeds are expected to grow from 200/400/800 Gbps today to over 1 Tbps in the near future, according to Sameh Boujelbene, vice president for ethernet switch market research at Dell’Oro Group.
Data center operators of every type deploying AI hardware have to be mindful of where they place it, says Naveen Chhabra, senior analyst with Forrester Research. That may not be the most pragmatic architecture. You need to identify the zones in which you can put those put that power, he said.
Fresh research from PWC has found that CIOs are far less likely to say that the IT function is prepared for reinvention, compared to 2023. Forresters researchers looked specifically at Security Service Edge (SSE)the category that describes the convergence of cloud-native network and data security servicesfrom Netskope.
Since these technology solutions can’t scale without a modular, well-architected foundation of platform services, she’s set her sights on moving from a set of customized and packaged software to a more modern architecture. We need our architecture to help deliver on that intent.” My team is very proactive and customer-focused.
Which are not longer an architectural fit? In this environment it is critical that technology leaders reduce the footprint of and remove the legacy systems that are difficult to change, do not fit with future architectures, and that trend toward obsolescence. Which are obsolete? Which are a nightmare to support?
It adopted a microservices architecture to decouple legacy components, allowing for incremental updates without disrupting the entire system. Learn more about IDC’s research for technology leaders OR subscribe today to receive industry-leading research directly to your inbox. Contact us today to learn more.
Hyperion Research estimates that the global quantum computing market has reached the $1 billion mark this year and is expected to grow to $1.5 billion in 2026 though the top use case for the next couple of years will remain research and development in quantum computing. Weve jumped the qubit barrier.
Without the right cloud architecture, enterprises can be crushed under a mass of operational disruption that impedes their digital transformation. What’s getting in the way of transformation journeys for enterprises? Unfortunately, research shows otherwise.
It’s a service that delivers LAN equipment to enterprises and excludes the WAN and any cloud/storage services, Siân Morgan, research director at Dell’Oro Group, told Network World. The CNaaS technology tends to use public cloud-managed architectures.” CNaaS is for the most part a subset of public cloud-managed LAN,” Morgan said.
New data from research firm Gartner might give IT leaders pause, however, as analysts detail the long, costly, and risky road ahead for enterprise organizations considering a large-scale VMware migration.
Underutilized and/or overprovisioned resources are among the biggest contributors to high cloud costs, says Shreehari Kulkarni, principal consultant with global technology research and advisory firm ISG. The ultimate responsibility typically falls on the customer, Hensarling says.
Secure access service edge ( SASE ) is a network architecture that rolls SD-WAN and security into a single, centrally managed cloud service that promises simplified WAN deployment, improved security, and better performance. With the pandemic, adoption of SASE has been on an upward swing. To read this article in full, please click here
With the 9300 Smart Switches, we are bringing security technologies into a fabric, so customers can [have] protection baked into their architecture from the network interface card to the switch, Wollenweber said.We The research showed that 74.4% It automates policy creation, optimization, and enforcement across workloads.
That led the global company, which has locations in more than 100 countries, to become an early adopter of the network-security architecture dubbed secure access service edge ( SASE ) by research firm Gartner. Latency and reliability concerns set car rental company Sixt on a path to rearchitect its WAN. Tech Spotlight: Security.
Judes Research Hospital, the public cloud is a good way to get knowledge into the hands of researchers who arent part of their ecosystem today, says SVP and CIO Keith Perry. Judes Research Hospital St. Hidden costs of public cloud For St. Judes Perry.
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