This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
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.
Enterprisearchitecture (EA) has evolved beyond governance and documentation. A centralized EA repository enables enterprise-wide visibility into systems, dependencies, and risks. At this stage, EA plays a key role in digital transformation initiatives, enabling business agility, cost optimization and faster time-to-market.
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. The sponsor’s primary responsibility is to secure funding and justify the business value of the investment.
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.
Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri
Data teams in large enterprise organizations are facing greater demand for data to satisfy a wide range of analytic use cases. How Agile Lab and Enel Group used Dremio to connect their disparate organizations across geographies and business units.
AI is reinvigorating the mainframe and causing enterprises to rethink their plans for mainframe modernization. Hybrid by design The mainframe’s ability to be integrated with and modernized by cloud computing architectures is an integral part of its future role.
A company that adopts agentic AI will gain competitive advantages in innovation, efficiency and responsiveness and may become more agile in operations. There are many reasons to build your own. Investments in AI agent projects are expected to yield orders of magnitude in ROI and business value if companies select high-impact use cases.
Accenture reports that the top three sources of technical debt are enterprise applications, AI, and enterprisearchitecture. What CIOs can do: Avoid and reduce data debt by incorporating data governance and analytics responsibilities in agile data teams , implementing data observability , and developing data quality metrics.
Enterprisearchitecture definition Enterprisearchitecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies.
More organizations than ever have adopted some sort of enterprisearchitecture framework, which provides important rules and structure that connect technology and the business. The results of this company’s enterprisearchitecture journey are detailed in IDC PeerScape: Practices for EnterpriseArchitecture Frameworks (September 2024).
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.
The business pressures prompting the need for such a service are many, including: M&A/Business Expansion : Enterprises are constantly changing, whether through sudden mergers and acquisition, digital transformation efforts, or growth into new markets. The service also enables enterprises to migrate their SD-WAN fabrics to the cloud.
Bank, and finalists Rockwell Automation and Takeda Pharmaceuticals have used outcome-driven enterprisearchitecture for business success. Learn how our winner, U.S.
To ensure every IT initiative directly contributes to measurable business outcomes, CIOs must move from operational managers to strategic partners, collaborating with business leaders to align IT decisions with enterprise goals.
Keeping the enterprise running has never been an easy task. To the casual end-user, manager, or C-suite exec, an enterprise architect’s job is magical. For all its advances, enterprisearchitecture remains a new world filled with tasks and responsibilities no one has completely figured out. No one knows anything.
In the Forrester/InfoWorld EnterpriseArchitecture Awards competition, we look for the most dramatic stories of EA’s strategic leadership and concrete business impact.
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.
In a global economy where innovators increasingly win big, too many enterprises are stymied by legacy application systems. 2] The myriad potential of GenAI enables enterprises to simplify coding and facilitate more intelligent and automated system operations.
The Open Group Architecture Framework (TOGAF) is an enterprisearchitecture methodology that offers a high-level framework for enterprise software development. TOGAF 10 brings a stronger focus to organizations using the agile methodology, making it easier to apply the framework to an organization’s specific needs.
AI, once viewed as a novel innovation, is now mainstream, impacting just about facet of the enterprise. 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. Are they still fit for purpose?
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 Are we right with resource allocation?
EnterpriseArchitecture Management Suites Are An Architect’s Ally Enterprisearchitecture management suites (EAMSes) are fundamental to running a successful architecture practice. AI use cases are flourishing in this market, freeing up architects’ […]
As enterprises across Southeast Asia and Hong Kong undergo rapid digitalisation, democratisation of artificial intelligence (AI) and evolving cloud strategies are reshaping how they operate. AI-powered automation will streamline repetitive tasks, reduce human error, and enhance operational efficiency by 30-40 %.
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.
Whether youre in an SMB or a large enterprise, as a CIO youve likely been inundated with AI apps, tools, agents, platforms, and frameworks from all angles. This change affects the entire IT architectural stack and impacts everything youre currently doing from business transformation to digital transformation and more.
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 enterprisearchitecture do you need to support this, and what part of your IT is creating tech debt and limiting your action on these ambitions?
According to ITICs 2024 Hourly Cost of Downtime Survey , 90% of mid-size and large enterprises face costs exceeding $300,000 for each hour of system downtime. Modern security architectures deliver multiple layers of protection. Its common for an enterprise to have over 400 different sources.
The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data. The challenges of integrating data with AI workflows When I speak with our customers, the challenges they talk about involve integrating their data and their enterprise AI workflows.
Driven by the development community’s desire for more capabilities and controls when deploying applications, DevOps gained momentum in 2011 in the enterprise with a positive outlook from Gartner and in 2015 when the Scaled Agile Framework (SAFe) incorporated DevOps.
The public cloud turns 23 this year, and enterprise migration of on-premises workloads isnt just continuing its speeding up. According to the Foundry Cloud Computing Study 2024 , 63% of enterprise CIOs were accelerating their cloud migrations, up from 57% in 2023. Cost savings are far from the only advantage of modernization, however.
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.
Yet this acceleration can aggravate business management and create fundamental business risk, especially for established enterprises. In 2019, 80% of enterprise executives said innovation was a top priority but only 30% said they were good at it.
Aerospike, provider of next-generation, real-time NoSQL data solutions, has released the Aerospike Kubernetes Operator and advancements in Aerospike Cloud Managed Service to help enterprises unlock cloud productivity and agility with scale-out cloud data. To […].
Although organizations have embraced microservices-based applications, IT leaders continue to grapple with the need to unify and gain efficiencies in their infrastructure and operations across both traditional and modern application architectures. VMware Cloud Foundation (VCF) is one such solution. Much of what VCF offers is well established.
When I joined RGA, there was already a recognition that we could grow the business by building an enterprise data strategy. We were already talking about data as a product with some early building blocks of an enterprise data product program. Enterprise gen AI is where the true value is. Thats a critical piece.
Scaled Agile Framework (SAFe) certifications are becoming valuable in larger organizations looking for efficient project delivery, reduced time-to-market, and ways to provide better stakeholder value. Scaled Agile: Scaled Agile is a key provider of agile training, courses, and certification, including SAFe.
Finalist: LiveAction LiveNX LiveActions enterprise network management software platform, LiveNX, allows companies to manage large and complex networks by unifying and simplifying the collection, correlation, and presentation of application and network datamaking it actionable for network management teams.
With this in mind, we embarked on a digital transformation that enables us to better meet customer needs now and in the future by adopting a lightweight, microservices architecture. We found that being architecturally led elevates the customer and their needs so we can design the right solution for the right problem.
Theyre exploding across locations with little thought for enterprise-grade security. The Cafe-like Branch architecture enables you to classify and isolate devices automatically, securing environments without requiring costly hardware upgrades or downtime. The bottom line: these technologies didnt anticipate the modern way we work.
Over the past 14 years, we’ve recognized 66 EA Award winners, showcasing how accountable, agile, continuous, influential, pragmatic, and valuable EA practices drive organizational adaptivity, creativity, and resilience.
In the waters of enterprise software, ships like IBM, Microsoft, and SAP are well-known names. Singer and pianist Little Richard once said: “It’s not the size of the ship; it’s the size of the Waves”. Their size, breadth of coverage, brand recognition, and market influence reflect their success. As does their revenue.
Simultaneously, the monolithic IT organization was deconstructed into subgroups providing PC, cloud, infrastructure, security, and data services to the larger enterprise with associated solution leaders closely aligned to core business functions. They see a product from beginning to end and it’s pretty rewarding.”
We organize all of the trending information in your field so you don't have to. Join 83,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content