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Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Ensure security and access controls.
Whether it’s a financial services firm looking to build a personalized virtual assistant or an insurance company in need of ML models capable of identifying potential fraud, artificial intelligence (AI) is primed to transform nearly every industry. Another challenge here stems from the existing architecture within these organizations.
From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. For companies investing in data science, realizing the return on these investments requires embedding AI deeply into business processes.
Many clients have reported dissatisfaction with the new licenses, according to research firm Gartner, which notes that changes have forced companies to purchase bundled VMware software they dont intend to use. Its enterprise-grade. For enterprises navigating this uncertainly, the challenge isnt just finding a replacement for VMware.
In his best-selling book Patterns of Enterprise Application Architecture, Martin Fowler famously coined the first law of distributed computing—"Don’t distribute your objects"—implying that working with this style of architecture can be challenging.
As IT professionals and business decision-makers, weve routinely used the term digital transformation for well over a decade now to describe a portfolio of enterprise initiatives that somehow magically enable strategic business capabilities. Ultimately, the intent, however, is generally at odds with measurably useful outcomes.
Especially with companies like Microsoft, OpenAI, Meta, Salesforce and others in the news recently with announcements of agentic AI and agent creation tools and capabilities. A company that adopts agentic AI will gain competitive advantages in innovation, efficiency and responsiveness and may become more agile in operations.
Google Cloud describes Cloud WAN as a new fully managed, reliable, and secure enterprise backbone to transform enterprise WAN architectures, according to a blog by Muninder Singh Sambi, vice president and general manager of networking for Google Cloud.
Noting that companies pursued bold experiments in 2024 driven by generative AI and other emerging technologies, the research and advisory firm predicts a pivot to realizing value. Their top predictions include: Most enterprises fixated on AI ROI will scale back their efforts prematurely.
Accenture reports that the top three sources of technical debt are enterprise applications, AI, and enterprisearchitecture. Using the companys data in LLMs, AI agents, or other generative AI models creates more risk.
For starters, generative AI capabilities will improve how enterprise IT teams deploy and manage their SD-WAN architecture. SD-WAN which stands for software-defined wide area network has been around for a decade, pitched to enterprises as a way to cut costs and improve WAN flexibility.
The Defense Advanced Research Projects Agency has selected 15 quantum computing companies for its Quantum Benchmarking Initiative , to see if utility-scale quantum computers can be built by 2033. Nord Quantique plans to use the money to expand its team, says Julien Camirand Lemyre, the companys president, CTO and co-founder.
The news comes amidst reports that the company also plans to close its infrastructure as a service (IaaS) division Metal in 2026, and in the wake of the appointment of new CEO Adaire Fox-Martin and a shakeup in its C-suite that saw the departures of CIO Milind Wagle and CISO Michael Montoya.
IBM has broadened its support of Nvidia technology and added new features that are aimed at helping enterprises increase their AI production and storage capabilities. The IBM AI Integration service already supports a number of third-party systems, including Oracle, Salesforce, SAP and ServiceNow environments.
Red Hat Enterprise Linux 9.5 Red Hat Enterprise Linux 9.x x first debuted back in 2022, with the company providing incremental updates every six months with additional features. Red Hat Enterprise Linux 9.x with several strategic improvements to the platform’s security architecture. Key updates in RHEL 9.5
The most focused and aggressive of the large CSPs Nvidias architecture is highly sought after, but expensive and difficult to come by. It has been the most focused and aggressive of the large CSPs in chasing the enterprise AI market with its own silicon. It is inserting itself into the AI conversation.
The company was spun out of DNS platform provider NS1 in 2023. NetBox Labs provides commercially supported services for NetBox including cloud and enterprise offerings. Beevers noted that NetBoxDiscovery uses an agent-based architecture, which has advantages over discovery solutions that are monolithic.
The future of leadership is architecturally driven As the demands of technology continue to reshape the business landscape, organizations must rethink their approach to leadership. The future of leadership is agile, adaptable and architecturally driven.
Zero-trust security is essential to enterprises that are converging operational technology (OT) with IT infrastructure. New research from Enterprise Management Associates (EMA) identified how this convergence influences zero-trust strategy and implementation. Companies often need new security solutions to protect OT.
According to inside sources, Chinese companies including ByteDance, Alibaba Group, and Tencent Holdings have ordered at least $16 billion worth of Nvidias H20 server chips for running AI workloads in just the first three months of this year, The Information reported Wednesday. Will it lead to shortages?
CEO Jensen Huang announced two new generations of GPU architecture stretching into 2028. While there are questions on how long the growth will continue, Im convinced we are looking at long term growth driven by enterprise AI and edge AI, he said. The company also announced GPUs would now power the latest storage systems.
More organizations than ever have adopted some sort of enterprisearchitecture framework, which provides important rules and structure that connect technology and the business. For example, one of the largest energy companies in the world has embraced TOGAF — to a point.
Network-as-a-service startup Nile has added an AI-based tool aimed at helping enterprise customers provision and operatethe vendors Campus Network-as-a-Service deployments. The new feature, Nile Nav is aimed at reducing the complexity of network provisioning to save money and time, according to the company.
In the past year, Aviz Networks has seen solid progress, with the company reporting a 400% increase in revenue compared to the previous year. The latest addition is the company’s network AI assistant, which aims to assist with operations and management.
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. The company said it has identified a need for more intelligent edge networking and computing. That’s where VeloRAIN will come in.
Enterprises are wrestling with a gamut of tools and technologies that are always changing, he says. The system integrator has the Topaz AI platform, which includes a set of services and solutions to help enterprises build and deploy AI applications. The updated product also has enhanced security features, including LLM guardrails.
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. Those are the companies most likely looking for some consistency.”
The built-in elasticity in serverless computing architecture makes it particularly appealing for unpredictable workloads and amplifies developers productivity by letting developers focus on writing code and optimizing application design industry benchmarks , providing additional justification for this hypothesis. Architecture complexity.
Other companies that have recently hit escape velocity include Microsoft , Google, and QuEra, he says. Read more: 10 quantum computing milestones of 2024 ) For some companies, quantum computing is already here. Prioritize Because of the complexity of the tasks, ISGs Saylors suggest that enterprises prioritize their efforts.
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. When asked, Do you take a zero trust approach to security in your organization?,
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.
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.
Zero Trust architecture was created to solve the limitations of legacy security architectures. It’s the opposite of a firewall and VPN architecture, where once on the corporate network everyone and everything is trusted. Companies need to meticulously evaluate several factors to ensure they adopt the most suitable strategy.
With the AI revolution underway which has kicked the wave of digital transformation into high gear it is imperative for enterprises to have their cloud infrastructure built on firm foundations that can enable them to scale AI/ML solutions effectively and efficiently.
It’s a position many CIOs find themselves in, as Guan noted that, according to an Accenture survey, fewer than 10% of enterprises have gen AI models in production. “What’s Next for GenAI in Business” panel at last week’s Big.AI@MIT It’s time for them to actually relook at their existing enterprisearchitecture for data and AI,” Guan said.
The integration nightmare : Most enterprises have dozens of disjointed tools. Under the hood, it uses a LangGraph architecture with supervised, specialized, and reflection agents working together in feedback loops. Were converting it from a monolithic architecture to leverage the Internet of Agents framework and protocols.
Enterprises are now spending about 35% of their data center CapEx budgets on accelerated servers optimized for AI, up from 15% in 2023, says DellOro analyst Baron Fung. As a result, just four companies Amazon, Google, Meta, and Microsoft will account for nearly half of global data center capex this year, he says.
HPE and Nvidia added to their joint, prepackaged service offerings that are aimed at helping enterprises support AI workloads. The new release of Data Fabric Software Fabric is the data backbone of the HPE Private Cloud AI data Lakehouse and provides an iceberg interface for PC-AI users to data hosed throughout their enterprise.
405B workload compared to the companys H200 NVL8, which is based on the Hopper architecture. In the latest round of benchmarks, the three year old architecture still managed to achieve a 60% performance boost over last year on the Llama 2 70B workload. That isnt to say that Hopper is lagging. In this case, its agentic AI.
The deal, which sees Oracle and Carlyle selling their stakes in Ampere, strengthens SoftBanks position in the growing market for AI-optimized processors as major cloud providers increasingly look beyond traditional x86 architecture.
CIOs often have a love-hate relationship with enterprisearchitecture. On the one hand, enterprise architects play a key role in selecting platforms, developing technical capabilities, and driving standards.
Generative AI has seen faster and more widespread adoption than any other technology today, with many companies already seeing ROI and scaling up use cases into wide adoption. Vendors are adding gen AI across the board to enterprise software products, and AI developers havent been idle this year either.
While CIOs understand the crushing weight of technical debt — now costing US companies $2.41 The more strategic concern isn’t just the cost— it’s that technical debt is affecting companies’ abilities to create new business, and saps the means to respond to shifting market conditions.
And we gave each silo its own system of record to optimize how each group works, but also complicates any future for connecting the enterprise. Added up, perhaps these are among the reasons that 51% of companies have not seen an increase in performance or profitability from digital investments, according to KPMG research.
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