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.
To fully benefit from AI, organizations must take bold steps to accelerate the time to value for these applications. Adopting Operational AI Organizations looking to adopt Operational AI must consider three core implementation pillars: people, process, and technology. To succeed, Operational AI requires a modern data architecture.
Most innovators don’t have a technical background, so it’s hard to evaluate the truth of the situation. And unless they have a tech background, they can’t look under the hood themselves. The answer is to engage a trusted outside source for a TechnicalReview – a deep-dive assessment that provides a C-suite perspective.
From obscurity to ubiquity, the rise of large language models (LLMs) is a testament to rapid technological advancement. Just a few short years ago, models like GPT-1 (2018) and GPT-2 (2019) barely registered a blip on anyone’s tech radar. Microsoft is describing AI agents as the new applications for an AI-powered world.
Identifying high-potential talent in tech hiring is one of the most critical challenges organizations face today. With rapid advancements in technology, the demand for skilled, adaptable professionals has never been greater. Adaptability In the fast-changing tech landscape, the ability to learn and adapt is invaluable.
Traditional security approaches have become unsustainable for technology leaders navigating todays complex threat landscape. In todays digital economy, business objectives like becoming a trusted financial partner or protecting customer data while driving innovation require more than technical controls and documentation.
A new area of digital transformation is under way in IT, say IT executives charged with unifying their tech strategy in 2025. Adopting emerging technology to deliver business value is a top priority for CIOs, according to a recent report from Deloitte. But that will change. “As
Many CEOs want to keep up with the market, including making the most of major IT advancements , while many CIOs may be focused on “keeping the lights on” by ensuring the organization’s existing technology is available and secure, says Edward Kipp, CIO at SDI Presence, an IT consulting and managed services provider.
To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. The solution incorporates the following key features: Using a Retrieval Augmented Generation (RAG) architecture, the system generates a context-aware detailed assessment.
Our digital transformation has coincided with the strengthening of the B2C online sales activity and, from an architectural point of view, with a strong migration to the cloud,” says Vibram global DTC director Alessandro Pacetti. It’s a change fundamentally based on digital capabilities.
Traditionally, building frontend and backend applications has required knowledge of web development frameworks and infrastructure management, which can be daunting for those with expertise primarily in data science and machine learning.
Sovereign AI refers to a national or regional effort to develop and control artificial intelligence (AI) systems, independent of the large non-EU foreign private tech platforms that currently dominate the field. It is also a way to protect from extra-jurisdictional application of foreign laws.
Increasingly, however, CIOs are reviewing and rationalizing those investments. By moving applications back on premises, or using on-premises or hosted private cloud services, CIOs can avoid multi-tenancy while ensuring data privacy. Are they truly enhancing productivity and reducing costs? Judes Perry.
In the competitive world of hiring, particularly in tech, recruitment is no longer just about finding candidates with the right technical expertise. For tech teams tasked with solving complex problems, interpersonal skills ensure smoother collaboration, innovation, and productivity. Why interpersonal skills matter in tech hiring ?
Technical debt is a growing problem that businesses can’t ignore. Also known as code debt, it’s the accumulation of legacy systems and applications that are difficult to maintain and support, as well as poorly written or hastily implemented code that increases risk over time.
And even engineers are hyping this up with stories around vibe coding with AI: they jump on their keyboards with a prompt and accept every suggestion that is there and then run the application to figure out if their initial problem was solved or not. Use what works for your application.
We really liked [NetSuite’s] architecture and that it’s in the cloud, and it hit the vast majority of our business requirements,” Shannon notes. Allegis plugged the gaps by integrating 12 third-party technologies and building custom solutions to give the company the ability to perform tasks such as replenishment and demand planning.
With the core architectural backbone of the airlines gen AI roadmap in place, including United Data Hub and an AI and ML platform dubbed Mars, Birnbaum has released a handful of models into production use for employees and customers alike. CIO Jason Birnbaum has ambitious plans for generative AI at United Airlines.
As an infrastructure and security practitioner with nearly 30 years of experience, I’ve witnessed periods of rapid change in the technology landscape. Proven methodologies developed years ago allowed us to reliably connect users, applications, and smart devices that propelled our organizations forward. And it worked.
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).
By Ram Velaga, Senior Vice President and General Manager, Core Switching Group This article is a continuation of Broadcom’s blog series: 2023 Tech Trends That Transform IT. Stay tuned for future blogs that dive into the technology behind these trends from more of Broadcom’s industry-leading experts. But how good can it be?
The advent of new technologies has accelerated the rate of innovation and disrupted the business landscape as we know it. As the pace of innovation speeds up, tomorrow’s front runners are those who readily embrace disruptive technologies to spearhead new business models and capture new avenues of growth.
This rapid adoption, while driving innovation, has also led to overloaded IT architectures that are fast and automated but often fragile and complex. As Robert Blumofe, chief technology officer at Akamai Technologies, told The Wall Street Journal recently, “The goal is not to solve the business problem. The goal is to adopt AI.”
Most companies have transitioned to become more software-centric, and with this transformation, application programming interfaces (APIs) have proliferated. If companies want to input, leverage, and embed these digital brains into their business, they’ll need an API to connect the LLM to various business applications,” he says.
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.
Verisk (Nasdaq: VRSK) is a leading strategic data analytics and technology partner to the global insurance industry, empowering clients to strengthen operating efficiency, improve underwriting and claims outcomes, combat fraud, and make informed decisions about global risks. The following diagram illustrates the solution architecture.
Enterprise applications have become an integral part of modern businesses, helping them simplify operations, manage data, and streamline communication. However, as more organizations rely on these applications, the need for enterprise application security and compliance measures is becoming increasingly important.
These concepts have technical implications but are as much business logic decisions as architectural ones. Being aligned on these concepts will drive product roadmap, core technicalarchitecture, pricing strategy and product marketing. A founding team should have a shared perspective on these six issues.
Agentic AI systems require more sophisticated monitoring, security, and governance mechanisms due to their autonomous nature and complex decision-making processes. Durvasula also notes that the real-time workloads of agentic AI might also suffer from delays due to cloud network latency.
Protecting Patients and Trust Through Training and Education Defending against these evolving threats requires more than just technology it demands well-trained personnel at all levels. Importantly, robust cybersecurity isnt just about technical preventionits also about preserving patient trust. million per incident.
Geifman proposes neural architecture search (NAS) as a solution. “Deci ’s proprietary technology [can generate] new image classification models that … deliver more than 2x improvement in runtime, coupled with improved accuracy, as compared to the most powerful models publicly available,” Geifman told TechCrunch in an email.
At Discover® Financial Services, our customers and their trust are key drivers of our technological decisions. 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.
In addition, CrowdStrike hired two independent software security vendors to review the Falcon sensor code, its quality control, and release processes, and also changed how its updates are released: more gradually, to increasing rings of deployment, says Adam Meyers, CrowdStrikes SVP for counter adversary operations. Trust, but verify.
For all its advances, enterprise architecture remains a new world filled with tasks and responsibilities no one has completely figured out. Some of this is due to the highly technical and complex nature of the job. But some of it is because of the following sins we enterprise architects keep committing. No one knows anything.
NTT DATA’s landmark Global GenAI Report underscores how the technology is gaining momentum. Furthermore, nearly two-thirds of C-suite respondents, specifically, expect GenAI to be a game changer over the next two years and plan to invest significantly in the technology. There is no going back.
Reevaluating cloud dependencies “When an issue of such magnitude happens and causes such a big disruption, it is important and necessary to revisit your existing beliefs, decisions, and tradeoffs that went into arriving at the current architecture,” said Abhishek Gupta, CIO at DishTV, one of India’s largest cable TV provider.
In the world of modern web development, creating scalable, efficient, and maintainable applications is a top priority for developers. and Redux have emerged as a powerful duo, transforming how developers approach building user interfaces and managing application state. Among the many tools and frameworks available, React.js
Imagine navigating a rapidly changing landscape, where technology seems to evolve at the speed of light and the pressure to keep up is relentless — this is the reality for today’s CIO. Future proofing technology investments has become a critical imperative for organizations seeking to maintain their competitive edge.
NTT DATAs landmark Global GenAI Report underscores how the technology is gaining momentum. Furthermore, nearly two-thirds of C-suite respondents, specifically, expect GenAI to be a game changer over the next two years and plan to invest significantly in the technology. There is no going back.
In this post, we explore how Amazon Q Business plugins enable seamless integration with enterprise applications through both built-in and custom plugins. This provides a more straightforward and quicker experience for users, who no longer need to use multiple applications to complete tasks. Choose Add plugin.
Amazon Bedrock offers a serverless experience so you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications using AWS tools without having to manage infrastructure. The following diagram provides a detailed view of the architecture to enhance email support using generative AI.
However, Cloud Center of Excellence (CCoE) teams often can be perceived as bottlenecks to organizational transformation due to limited resources and overwhelming demand for their support. Manually reviewing each request across multiple business units wasn’t sustainable.
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.”
Developers at startups thought they could maintain multiple application code bases that work independently with each cloud provider. Deploying cloud infrastructure also involves analyzing tools and software solutions, like application monitoring and activity logging, leading many developers to suffer from analysis paralysis.
We organize all of the trending information in your field so you don't have to. Join 49,000+ 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