CIO
DECEMBER 20, 2024
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.
CIO
NOVEMBER 27, 2024
To fully benefit from AI, organizations must take bold steps to accelerate the time to value for these applications. Just as DevOps has become an effective model for organizing application teams, a similar approach can be applied here through machine learning operations, or “MLOps,” which automates machine learning workflows and deployments.
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CIO
NOVEMBER 19, 2024
Microsoft is describing AI agents as the new applications for an AI-powered world. This data would be utilized for different types of application testing. The output of the system should be able to stress the end user application by producing different-sized test files.
CIO
JANUARY 15, 2025
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.
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Embedding analytics in your application doesn’t have to be a one-step undertaking. In fact, rolling out features gradually is beneficial because it allows you to progressively improve your application. Application Design: Depending on your capabilities, you can choose either a VM or a container-based approach.
AWS Machine Learning - AI
NOVEMBER 6, 2024
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.
Martin Fowler
JUNE 13, 2023
Mobile applications often deliver features rapidly at first, but slow as a codebase builds up. Matthew Foster describes an example of this from his work with clients, and how using Domain-Driven Design and Team Topologies helped create a modular architecture that substantially reduced the time needed to deliver new features.
Speaker: Prem Chandrasekaran
In his best-selling book Patterns of Enterprise Application Architecture, Martin Fowler famously coined the first law of distributed computing—"Don’t distribute your objects"—implying that working with this style of architecture can be challenging.
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Every data-driven project calls for a review of your data architecture—and that includes embedded analytics. Before you add new dashboards and reports to your application, you need to evaluate your data architecture with analytics in mind. 9 questions to ask yourself when planning your ideal architecture.
Speaker: Tolga Tarhan, Senior Vice President, GM AWS Services at Onica
Of course, the key as a senior leader is to understand what your organization needs, your application requirements, and to make choices that leverage the benefits of the right approach that fits the situation. How to make the right architectural choices given particular application patterns and risks.
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There’s no getting around it: selecting the right foundational data-layer components is crucial for long-term application success.
Speaker: Ahmad Jubran, Cloud Product Innovation Consultant
Many do this by simply replicating their current architectures in the cloud. Those previous architectures, which were optimized for transactional systems, aren't well-suited for the new age of AI. In this webinar, you will learn how to: Take advantage of serverless application architecture.
Advertiser: Datadog
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.
Speaker: Miles Robinson, Agile and Management Consultant, Motivational Speaker
Dashboards and analytics can really set your application apart, but that doesn't mean you can implement them and forget about them. You'll leave with an understanding of how to figure out the best next steps specifically for you and your application. How to determine when an information architecture refresh may be necessary.
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Multi-tenant architecture allows software vendors to realize tremendous efficiencies by maintaining a single application stack instead of separate database instances while meeting data privacy needs. When you use a data warehouse to power your multi-tenant analytics, the proper approach is vital.
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