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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.
Enterprise architecture (EA) has evolved beyond governance and documentation. Stage 2: Operational EA Delivering business optimization and agility Once the foundational structure is established, EA can shift from static documentation to active execution. Ensure architecture insights drive business strategy. The result?
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 enterprise architecture. 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.
Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri
In this webinar, learn how Enel Group worked with Agile Lab to implement Dremio as a data mesh solution for providing broad access to a unified view of their data, and how they use that architecture to enable a multitude of use cases. Leveraging Dremio for data governance and multi-cloud with Arrow Flight.
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.
To address this, a next-gen cloud data lake architecture has emerged that brings together the best attributes of the data warehouse and the data lake. This new open data architecture is built to maximize data access with minimal data movement and no data copies.
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. Most enterprises have built tech estates on hybrid cloud architecture, the researchers stated. “In
In the Forrester/InfoWorld Enterprise Architecture Awards competition, we look for the most dramatic stories of EA’s strategic leadership and concrete business impact.
Adopting agile methodologies for flexibility and adaptation The Greek philosopher Heraclitus famously stated, “Change is the only constant.” In today’s business environment, agile methodologies have become indispensable for maintaining alignment between IT and business strategies.
Particularly well-suited for microservice-oriented architectures and agile workflows, containers help organizations improve developer efficiency, feature velocity, and optimization of resources. Containers power many of the applications we use every day.
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.
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.
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.
Speaker: Leo Zhadanovsky, Principal Solutions Architect, Amazon Web Services
Amazon's journey to its current modern architecture and processes provides insights for all software development leaders. To get there, Amazon focused on decomposing for agility, making critical cultural and operational changes, and creating tools for software delivery. The "two pizza" team culture. How Amazon thinks about metrics.
In todays digital-first economy, enterprise architecture must also evolve from a control function to an enablement platform. This transformation requires a fundamental shift in how we approach technology delivery moving from project-based thinking to product-oriented architecture. The stakes have never been higher.
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.
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.
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).
Bank, and finalists Rockwell Automation and Takeda Pharmaceuticals have used outcome-driven enterprise architecture for business success. Learn how our winner, U.S.
Embrace headless architecture for agile corporate training. The post How to Future-proof Training with Headless Architecture appeared first on Spiceworks. Future-proof your learning strategy with flexibility and data-driven insights.
With digital operating models altering business processes and the IT landscape, enterprise architecture (EA) — a rigid stalwart of IT — has shown signs of evolving as well. An enterprise architecture tool is often sold as a prerequisite by consulting firms that often earn software commissions. says LeanXI’s Christ.
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. Generally speaking, a healthy application and data architecture is at the heart of successful modernisation.
Data is the foundation of innovation, agility and competitive advantage in todays digital economy. We also examine how centralized, hybrid and decentralized data architectures support scalable, trustworthy ecosystems. When customer records are duplicated or incomplete, personalization fails.
According to research from NTT DATA , 90% of organisations acknowledge that outdated infrastructure severely curtails their capacity to integrate cutting-edge technologies, including GenAI, negatively impacts their business agility, and limits their ability to innovate. [1]
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.
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. Few CIOs would have imagined how radically their infrastructures would change over the last 10 years — and the speed of change is only accelerating.
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.
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.
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?
Suboptimal integration strategies are partly to blame, and on top of this, companies often don’t have security architecture that can handle both people and AI agents working on IT systems. Most importantly, position technical debt management not as a cost center, but as an investment in business agility and competitive advantage.
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.
This change affects the entire IT architectural stack and impacts everything youre currently doing from business transformation to digital transformation and more. The goal should be centralized management, observability, and agility across the entire stack so you can switch out components as AI and data models, tools, and platforms evolve.
Now that systems are being replaced, it’s also about creating a new architecture without those types of connections. Paring down agile Another change the digital organization has gone through recently is to start backing away from a pure agile approach. But it’s extremely difficult to suddenly launch a successfully IT system.
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.
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.
Enterprise Architecture Management Suites Are An Architect’s Ally Enterprise architecture management suites (EAMSes) are fundamental to running a successful architecture practice. AI use cases are flourishing in this market, freeing up architects’ […]
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?
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