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. Ensure security and access controls.
In the rapidly evolving landscape of softwaredevelopment, one month can be enough to create a trend that makes big waves. This approach to softwaredevelopment uses […]
He brings more than 30 years of experience across some of the largest enterprise customers, helping them understand and utilize AI ranging from initial concepts to specific application architectures, design, development and delivery. This article was made possible by our partnership with the IASA Chief Architect Forum.
AI assistants are only the beginning of the generative AI softwaredevelopment revolution. Find out what’s in store for softwaredevelopers in our 2025 predictions for softwaredevelopment.
Speaker: Leo Zhadanovsky, Principal Solutions Architect, Amazon Web Services
Amazon's journey to its current modern architecture and processes provides insights for all softwaredevelopment leaders. To get there, Amazon focused on decomposing for agility, making critical cultural and operational changes, and creating tools for software delivery.
Accenture reports that the top three sources of technical debt are enterprise applications, AI, and enterprise architecture. Build up: Databases that have grown in size, complexity, and usage build up the need to rearchitect the model and architecture to support that growth over time.
Thanks to TuringBots (AI and generative AI for softwaredevelopment), softwaredevelopment is on the cusp of a transformative change, one that promises to redefine the way development teams collaborate, create, and deploy applications.
As we outlined in previous research, Generative AI assistants known as TuringBots can serve as powerful tools to address some of the broader softwaredevelopment challenges. Specifically they help to automate a wide range of tasks throughout the softwaredevelopment life cycle (SDLC).
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.
The softwaredevelopment ecosystem exists in a state of dynamic equilibrium, where any new tool, framework, or technique leads to disruption and the establishment of a new equilibrium. It’s no surprise many CIOs and CTOs are struggling to adapt, in part because their architecture isn’t equipped to evolve.
Softwaredevelopment is a challenging discipline built on millions of parameters, variables, libraries, and more that all must be exactly right. Still, it’s impossible to list the endless innovations that software alone has made possible. Over the years software teams have figured out a few rules for getting the job done.
The Tech+ certification covers basic concepts from security and softwaredevelopment as well as information on emerging technologies such as artificial intelligence, robotics, and quantum computing. Softwaredevelopment: Comprehend programming language categories, interpret logic, and understand the purpose of programming concepts.
VMware Tanzu RabbitMQ: “Secure, real-time message queuing, routing, and streaming for distributed systems, supporting microservices and event-driven architectures.” VMware Tanzu for MySQL: “The classic web application backend that optimizes transactional data handling for cloud native environments.” I would have to say yes.” Not at all.”
As enterprises evolve their AI from pilot programs to an integral part of their tech strategy, the scope of AI expands from core data science teams to business, softwaredevelopment, enterprise architecture, and IT ops teams.
It seems like only yesterday when softwaredevelopers were on top of the world, and anyone with basic coding experience could get multiple job offers. This yesterday, however, was five to six years ago, and developers are no longer the kings and queens of the IT employment hill.
Understanding and tracking the right software delivery metrics is essential to inform strategic decisions that drive continuous improvement. In todays digital-first economy, enterprise architecture must also evolve from a control function to an enablement platform. The stakes have never been higher.
The fields of customer service, marketing, and customer development are going to see massive adoption, he says. He expects the same to happen in all areas of softwaredevelopment, starting with user requirements research through project management and all the way to testing and quality assurance.
Generative AI is already having an impact on multiple areas of IT, most notably in softwaredevelopment. Still, gen AI for softwaredevelopment is in the nascent stages, so technology leaders and software teams can expect to encounter bumps in the road. “It One example is with document search and summarization.
“Focusing on innovation and tech deployment helps pinpoint and eliminate obstacles that impede tech teams,” she says, adding that while measuring softwaredevelopment production is essential for IT digitalization, it also requires a careful rollout to maintain a healthy team dynamic.
Von Neumann architecture is the foundation for most modern computers, while Harvard architecture offers an alternative design for specific applications. This article provides a detailed comparison of the two most popular computer architectures.
The Open Group Architecture Framework (TOGAF) is an enterprise architecture methodology that offers a high-level framework for enterprise softwaredevelopment. TOGAF helps organizations implement software technology in a structured and organized way, with a focus on governance and meeting business objectives.
75% of firms that build aspirational agentic AI architectures on their own will fail. The challenge is that these architectures are convoluted, requiring diverse and multiple models, sophisticated retrieval-augmented generation stacks, advanced data architectures, and niche expertise,” they said. “The
A tectonic shift was moving us all from monolithic architectures to self-service models and an existential crisis for architecture and IT was upon us. How will agentic intelligence architectures facilitate business capability and value? Enterprises survive and thrive through their capacity to pivot and adapt.
That led the global company, which has locations in more than 100 countries, to become an early adopter of the network-security architecture dubbed secure access service edge ( SASE ) by research firm Gartner. 6 security risks in softwaredevelopment — and how to address them (InfoWorld). Tech Spotlight: Security.
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. It is helping us to think out of the box, to shrink the softwaredevelopment lifecycle, and increase the pace and agility of digital transformation.
According to Forrester , for example, the approach accelerates and simplifies onboarding for new learners and developers, powers more effective digital governance, and improves the user experience. [3] The norm will shift towards real-time, concurrent, and collaborative development fast-tracking innovation and increasing operational agility.
It's not a question of if, it's a question of when and how AI and machine learning will change our programming and softwaredevelopment paradigms. A full stack developer elects to build a three-tiered web architecture using an MVC framework. An IoT application calls for an event-driven.
Service-oriented architecture is a development model that builds distributed systems that provide services across applications via a protocol. The post What Is Service-Oriented Architecture? Working, Principles, and Benefits appeared first on Spiceworks.
Not my original quote, but a cardinal sin of cloud-native data architecture is copying data from one location to another. Every SQL query, script and data movement configuration must be treated as code, adhering to modern softwaredevelopment methodologies and following DevOps and SRE best practices.
Hes seeing the need for professionals who can not only navigate the technology itself, but also manage increasing complexities around its surrounding architectures, data sets, infrastructure, applications, and overall security. If youre hiring a software engineer today, that person has to have some knowledge of AI, he says.
Similarly, AI agents will specialize and collaborate across domains, from softwaredevelopment to drug discovery to embodied agentic robotic workflows, etc. Think of it like a movie production, where specialized teams (writers, actors, cinematographers, editors) collaborate to create something greater than any individual could achieve.
Generative artificial intelligence ( genAI ) and in particular large language models ( LLMs ) are changing the way companies develop and deliver software. The chatbot wave: A short-term trend Companies are currently focusing on developing chatbots and customized GPTs for various problems. An overview.
I have to admit that I'm skeptical whether non-technical companies will successfully execute a softwaredevelopment strategy routed in microservices. There's a long history of softwaredevelopment teams seeking modular and reusable code and services.
BSH’s previous infrastructure and operations teams, which supported the European appliance manufacturer’s application development groups, simply acted as suppliers of infrastructure services for the softwaredevelopment organizations. Our gap was operational excellence,” he says. “We
CIOs often have a love-hate relationship with enterprise architecture. On the one hand, enterprise architects play a key role in selecting platforms, developing technical capabilities, and driving standards. They should be allergic to spaghetti architecture, prioritizing streamlined, efficient, and resilient systems instead.”
At a #CIOChat this weekend we were asked about warning signs for bad architecture. Here was my quick response capturing just a tweet-sized summary of architecture that "smells bad" - Too slow making biz needs. Too difficult/complex to explain to new technologists. Lack of defined integration process (closed system).
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. When reviewing implementation options, teams will question which standards apply and are key factors in making technical decisions.
Henderson is in the throes of an 18- to 20-month project to consolidate three database architectures for operational efficiencies. IT is also creating a new platform architecture to enable the firm to move off legacy technology and build cloud-based capabilities.
I cover topics for Technologists from CIOs to Developers - agile development, agile portfolio management, leadership, business intelligence, big data, startups, social networking, SaaS, content management, media, enterprise 2.0 Insuring Architecture needs fit into an Agile Development Practice. Monday, March 18, 2013.
Trust Architectures and Digital Identity – Trust architectures and digital identity have grown by nearly 50 percent, reflecting the increasing importance of security, privacy, and resilience. – Generative AI is expected to contribute up to $4.4
He noted that current solutions, like Microsoft-owned GitHub’s Copilot , focus primarily on streamlining existing workflows while Tessl aims for a more fundamental shift in softwaredevelopment. Tessl encourages developers to articulate what they want applications to do, allowing AI to interpret those directions into code.
Director of Technology Solutions Webster Mudge in an examination of an architectural exemplar and repeatable design patterns you can use to enhance your use of data. The event will include an architectural exemplar that will show you how design patterns can be applied to real world designs. Enhance security.
The vendor-neutral Open Group Architecture Forum has launched the 10th edition of its TOGAF standard this week, with the latest edition of the popular enterprise architecture framework being given a modular redesign aimed at easing adoption for practitioners.
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