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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.
In a global economy where innovators increasingly win big, too many enterprises are stymied by legacy application systems. Modernising with GenAI Modernising the application stack is therefore critical and, increasingly, businesses see GenAI as the key to success. The solutionGenAIis also the beneficiary.
Enterprise architecture (EA) has evolved beyond governance and documentation. Establish clear roles and responsibilities for an integrated team of business, application, data and technology architects. Ensure architecture insights drive business strategy. Accelerate transformation by enabling rapid decision-making. The result?
Microsoft is describing AI agents as the new applications for an AI-powered world. A company that adopts agentic AI will gain competitive advantages in innovation, efficiency and responsiveness and may become more agile in operations. This data would be utilized for different types of application testing.
Containers power many of the applications we use every day. Particularly well-suited for microservice-oriented architectures and agile workflows, containers help organizations improve developer efficiency, feature velocity, and optimization of resources.
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.
After all, a low-risk annoyance in a key application can become a sizable boulder when the app requires modernization to support a digital transformation initiative. Accenture reports that the top three sources of technical debt are enterprise applications, AI, and enterprise architecture.
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.
Two things play an essential role in a firm’s ability to adapt successfully: its data and its applications. What companies need to do in order to cope with future challenges is adapt quickly: slim down and become more agile, be more innovative, become more cost-effective, yet be secure in IT terms.
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.
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. Vendor lock-in.
To keep up, IT must be able to rapidly design and deliver applicationarchitectures 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.
CIOs must take an active role in educating their C-suite counterparts about the strategic applications of technologies like, for example, artificial intelligence, augmented reality, blockchain, and cloud computing. Such a dynamic culture ensures that the organization remains flexible and adaptable in an ever-evolving digital landscape.
In the Forrester/InfoWorld Enterprise Architecture Awards competition, we look for the most dramatic stories of EA’s strategic leadership and concrete business impact.
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.
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 applicationarchitectures. VMware Cloud Foundation (VCF) is one such solution.
Pursue cryptographic agility Once companies have figured out which assets and communications they need to protect first, how do they actually go about switching to quantum-safe cryptography? Instead, Horvath and other experts recommend that enterprises pursue quantum agility. It seems easy to do but its actually catastrophic.
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.
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.
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.
Modern Application Development Services Defined Clients want more autonomy to better control their own innovation and development capabilities to build modern and up-to-date custom applications.
When organizations migrate applications to the cloud, they expect to see significant benefits: increased scalability, stronger security and accelerated adoption of new technologies. Certainly, no CIO would try to migrate a mainframe or a traditional monolithic application directly to the cloud. Whats the solution? Modernization.
The evolution of agile development The agile manifesto was released in 2001 and, since then, the development philosophy has steadily gained over the previous waterfall style of software development. Agents can be more loosely coupled than services, making these architectures more flexible, resilient and smart.
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. The entire architecture of S/4HANA is tightly integrated and coordinated from a software perspective. In 2010, SAP introduced the HANA database.
Two things play an essential role in a firms ability to adapt successfully: its data and its applications. What companies need to do in order to cope with future challenges is adapt quickly: slim down and become more agile, be more innovative, become more cost-effective, yet be secure in IT terms.
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).
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?
For decades, businesses have relied on MPLS and SD-WAN to connect branch offices and remote workers to critical applications. Paying a premium to backhaul traffic to a central data center made sense when that was where all applications lived. That worked when everything lived in the corporate data center. Ready to rethink your network?
The challenge is reminiscent of the 1990s when CIOs reigned in application silos by moving to ERP systems, and in the 2010s when CIOs had to contain mobile devices through BYOD policies. It has to be Five 9s capable and agile for a still defining AI world. Todays challenge is perhaps far greater.
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.
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. He advises beginning the new year by revisiting the organizations entire architecture and standards. Are they still fit for purpose?
As enterprises scale their digital transformation journeys, they face the dual challenge of managing vast, complex datasets while maintaining agility and security. These capabilities rely on distributed architectures designed to handle diverse data streams efficiently.
The Open Group Architecture Framework (TOGAF) is an enterprise architecture 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.
The imperative for APMR According to IDC’s Future Enterprise Resiliency and Spending Survey, Wave 1 (January 2024), 23% of organizations are shifting budgets toward GenAI projects, potentially overlooking the crucial role of application portfolio modernization and rationalization (APMR). Employ AI and ML to assist in processes.
A few days ago, I discussed applicationarchitecture in banking with a banking software vendor. Starting from there, we had a look at that vendor’s core banking solutions and further back-end systems such as trade finance. The vendor quickly suggested that its solutions align with Forrester’s concept of a lean core.
AppGen platforms will integrate the steps of software analysis, development, security, testing, and delivery by providing TuringBots for both low-code and high-code development spanning every step — all while incorporating the principles of agile and DevOps along the way.
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.
Against a backdrop of disruptive global events and fast-moving technology change, a cloud-first approach to enterprise applications is increasingly critical. What could be worse than to plan for an event that requires the scaling of an application’s infrastructure only to have it all fall flat on its face when the time comes?”.
These outdated systems are not only costly to maintain but also hinder the integration of new technologies, agility, and business value delivery. For instance, Capital One successfully transitioned from mainframe systems to a cloud-first strategy by gradually migrating critical applications to Amazon Web Services (AWS).
All industries and modern applications are undergoing rapid transformation powered by advances in accelerated computing, deep learning, and artificial intelligence. That’s why we’re introducing a new disaggregated architecture that will enable our customers to continue pushing the boundaries of performance and scale.
Gather a DevOps or data science team to define the architecture for a new application, data lakehouse, or AI service, and you’re likely to run into debates on technical approaches and disputes on platforms. The solution architect’s
We spoke with Siddhartha Gupta, Global Head of Application Modernization on Azure at Tata Consultancy Services (TCS) , about this trend and what financial services organizations need to do to improve their capacity for agility and innovation. To succeed, they must first build a culture of development within the organization.
Routed Optical Networking offers an architecture that unifies the wave division multiplexing (WDM), optical transport network (OTN), and packet transport layers into a single layer that’s easier to control – just as Ethernet VPN and segment routing simplify the service and traffic engineering network layers, according to Cisco.
Agile content management systems (CMSes) build on the momentum of nearly 30 years of delivering modern, digital, internet-powered experiences. With a nod to both developers and practitioners, agile CMS seeks to enable collaborative, iterative approaches to content and experiences that satisfy both sides of the house.
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