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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. Optimize data flows for agility.
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.
Accenture reports that the top three sources of technical debt are enterprise applications, AI, and enterprise architecture. Using the companys data in LLMs, AI agents, or other generative AI models creates more risk. Types of data debt include dark data, duplicate records, and data that hasnt been integrated with master data sources.
CIOs often have a love-hate relationship with enterprise architecture. In the State of Enterprise Architecture 2023 , only 26% of respondents fully agreed that their enterprise architecture practice delivered strategic benefits, including improved agility, innovation opportunities, improved customer experiences, and faster time to market.
Speed and agility bring in the top transformation prize. Go all-in with agile Another way to ensure IT can quickly deliver transformative results is to go all-in with modern approaches, starting with a full embrace of agile development. The 2024 State of Agile report from Digital.ai
Decisions made in isolation lead to inefficiencies, slower responses to market changes, and a lack of agility that stifles innovation. Architects help organizations remain agile, innovative, and aligned by bridging gaps between strategy and technology. The future of leadership is agile, adaptable and architecturally driven.
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. Instead, Horvath and other experts recommend that enterprises pursue quantum agility.
Too often, companies adopt innovative technologies based on market hype without fully understanding how they contribute to their business. Adopting agile methodologies for flexibility and adaptation The Greek philosopher Heraclitus famously stated, “Change is the only constant.”
Less than 10% of the FTSE 500 companies that existed fifty years ago are still around today and less than half of the companies founded since 2000 are still operating. Company executives are well aware that their businesses need to adapt to keep up with the rapid transformation now taking place.
The latter option had emerged as a compelling solution, offering the promise of enhanced agility, reduced operational costs, and seamless scalability. Financial services unique challenges However, it is important to understand that serverless architecture is not a silver bullet. Architecture complexity. Legacy infrastructure.
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?,
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. The company says it can achieve PhD-level performance in challenging benchmark tests in physics, chemistry, and biology.
Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Another main priority with EA is agility and ensuring that your EA strategy has a strong focus on agility and agile adoption.
At a time when technology innovation cycles are getting shorter, we will struggle to keep pace if we have to navigate around legacy systems that act as barriers to speed and agility. Over time the speed and agility barriers associated with the ERP spread to other systems as they, in turn, formed an expanding wave of technical debt.
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.
Here, agility is essential, and smart IT leaders are doubling down on efforts to streamline IT, whether that involves reprioritizing projects and realigning the IT portfolio, rationalizing applications and pursuing cloud-native approaches, increasing automation through DevOps or AIOps adoption, or overhauling the structure of IT operations.
Pre-COVID, agility became an aspiration and rallying cry for organizations seeking to embrace emerging technologies and pursue technology-enabled innovation, often to stave off digital disruption in their industries. This goes beyond implementing agile methodology. Balance control with agility. Think a step ahead.
More organizations than ever have adopted some sort of enterprise architecture 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.
In todays fast-paced digital landscape, the cloud has emerged as a cornerstone of modern business infrastructure, offering unparalleled scalability, agility, and cost-efficiency. Technology modernization strategy : Evaluate the overall IT landscape through the lens of enterprise architecture and assess IT applications through a 7R framework.
Here, agility is essential, and smart IT leaders are doubling down on efforts to streamline IT, whether that involves reprioritizing projects and realigning the IT portfolio, rationalizing applications and pursuing cloud-native approaches, increasing automation through DevOps or AIOps adoption, or overhauling the structure of IT operations.
For all its advances, enterprise architecture remains a new world filled with tasks and responsibilities no one has completely figured out. Some companies have tried setting data retention policies to destroy everything as soon as regulations allow. But trusting the key parts of an enterprise to an outside company has plenty of risks.
To keep up, IT must be able to rapidly design and deliver application architectures that not only meet the business needs of the company but also meet data recovery and compliance mandates. It’s a tall order, because as technologies, business needs, and applications change, so must the environments where they are deployed.
This change affects the entire IT architectural stack and impacts everything youre currently doing from business transformation to digital transformation and more. Partner with the business Another recent BCG study found that in 86% of AI future-built companies, IT is leading or co-leading AI with the business. The data is clear.
The Open Group Architecture Framework (TOGAF) is an enterprise architecture methodology that offers a high-level framework for enterprise software development. The Open Group developed TOGAF in 1995, and by 2016, 80% of Global 50 companies and 60% of Fortune 500 companies used the framework. TOGAF definition.
SAP R/1 was designed as standard software that could be offered to other companies. In 2008, SAP developed the SAP HANA architecture in collaboration with the Hasso Plattner Institute and Stanford University with the goal of analyzing large amounts of data in real-time. In 1979, the successor product, SAP R/2 , was launched.
Technology investments, such as in generative AI, are a priority in addressing the need to meet rising expectations while also driving operational agility and resilience. Reinvention-ready companies are positioned to succeed in the long term, Tay observes. Are they still fit for purpose?
As a result, many new car companies are created and competition increases, says Tobias Altehed, who leads Volvo Cars’ digital organization and sits on the company’s extended management team. Tough system change Replacing core systems that comprise the backbone of the company is never easy. It’s more about gradual implementation.
Gilbane is one of the largest privately-held real estate development and construction companies in the US. billion company has been family owned from its inception in 1870, with sixth-generation employees currently in the business. We need our architecture to help deliver on that intent.”
Less than 10% of the FTSE 500 companies that existed fifty years ago are still around today and less than half of the companies founded since 2000 are still operating. Company executives are well aware that their businesses need to adapt to keep up with the rapid transformation now taking place.
Public SaaS companies have seen their valuations compress, with small-cap SaaS significantly underperforming broader market indices in 2024. Forward-thinking SaaS companies are already integrating AI capabilities into their offerings, enhancing their value proposition rather than becoming obsolete.
Add high bandwidth costs and painful latency into the mix, and its no surprise companies started looking for a better option. SD-WAN solved the cost issue but left companies exposed in other ways: Implicit Trust Is a Problem: SD-WAN simply extends the corporate network everywhere using site-to-site VPNs, treating all traffic as trusted.
Dun and Bradstreet has been using AI and ML for years, and that includes gen AI, says Michael Manos, the companys CTO. But not every company can say the same. Its a quickly-evolving field, he says, and the demand for professionals with experience in this space is exceedingly high.
As AWS points out on the companys blog , On-premises applications arent commonly designed to take advantage of the capabilities that the cloud offers, such as elasticity, resiliency, automation, and such. Greater business agility: The AWS cloud-hybrid platform allows Cargill to rapidly build and deploy new capabilities as user needs evolve.
In the realm of systems, this translates to leveraging architectural patterns that prioritize modularity, scalability, and adaptability. Headless, composable architectures are helping businesses select best-of-breed products and compose them into a system that aligns with business goals. What is a composable architecture?
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? Eighty-two percent of enterprise leaders believe a company will become extinct by 2030 if it fails to innovate.
To tackle that, businesses are turning their budgets toward the cloud, with two out of every three IT decision-makers planning to increase cloud budgets in 2024, and nearly a third (31%) reporting that 31% of their IT budget is earmarked for cloud computing, according to the 2023 Cloud Computing Study from CIO.com parent company Foundry.
As a long-time partner with NVIDIA, NetApp has delivered certified NVIDIA DGX SuperPOD and NetApp ® AIPod ™ architectures and has seen rapid adoption of AI workflows on first-party cloud offerings at the hyperscalers. Planned innovations: Disaggregated storage architecture. Responsible AI.
Let us take a look at some companies that have risen to the occasion and leveraged this crisis situation to rethink organizational architecture and embark upon network orchestration. . Consider for example one of the world’s leading integrated energy companies, Chevron. Powering through the world’s energy needs .
The transition from fossil fuels to electrification is shaking up a company like OKQ8 to its foundation. Its about a total company transformation, but the transition is going a little slower than we thought, with a reduced reduction obligation and fewer incentives for electric cars, says CIO Clas Artvin.
Agile project management definition Agile project management is a methodology used primarily in software development that favors flexibility and collaboration, incorporating customer feedback throughout the project life cycle.
The first is to foster a culture of agility, collaboration, and AI-driven innovation, driven in part by our new Office of AI. Were adopting best-in-class SaaS solutions, a next-generation data architecture, and AI-powered applications that improve decision-making, optimize operations, and unlock new revenue stream opportunities.
These outdated systems are not only costly to maintain but also hinder the integration of new technologies, agility, and business value delivery. It adopted a microservices architecture to decouple legacy components, allowing for incremental updates without disrupting the entire system.
There are only two types of companies in this world, those who are great at AI and everybody else. This quote sums up the need for companies to prioritize artificial intelligence (AI) initiatives and also captures the state of the AI race today. 74% of companies are struggling to achieve value and scale. Theres no avoiding it.
I am a key member of the council responsible for formulating the companys business strategy and setting goals, followed by developing 1-year, 3-year, and 5-year plans. Evaluate ROI and substantiate it with relevance, optimization and impact Utilize your tech investments to deliver financial and operational agility.
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