CIO Business Intelligence

DECEMBER 30, 2024

He expects the same to happen in all areas of software development, starting with user requirements research through project management and all the way to testing and quality assurance. Agents can be more loosely coupled than services, making these architectures more flexible, resilient and smart.

CTO Hire 354

CTO Hire Software Development Software Software 354

CIO Business Intelligence

APRIL 8, 2025

We also examine how centralized, hybrid and decentralized data architectures support scalable, trustworthy ecosystems. As data-centric AI, automated metadata management and privacy-aware data sharing mature, the opportunity to embed data quality into the enterprises core has never been more significant.

Architecture 255

Architecture Government Data Strategy 255

CIO Business Intelligence

JUNE 19, 2024

They may also ensure consistency in terms of processes, architecture, security, and technical governance. The core roles in a platform engineering team range from infrastructure engineers, software developers, and DevOps tool engineers, to database administrators, quality assurance, API and security engineers, and product architects.

Engineering 347

Engineering Software Development Development Software 347

CIO Business Intelligence

MARCH 8, 2023

Artificial intelligence (AI) projects are another useful example. Some legacy applications have been architected in a way that doesn’t allow pieces of functionality and data to be migrated to cloud easily; in other cases, making a wholesale migration is out of the question, for reasons related to cost and complexity.

Cloud 257

Cloud Applications Quality Assurance Data Center 257

CIO Business Intelligence

AUGUST 5, 2022

Artificial intelligence (AI) projects are another useful example. Some legacy applications have been architected in a way that doesn’t allow pieces of functionality and data to be migrated to cloud easily; in other cases, making a wholesale migration is out of the question, for reasons related to cost and complexity.

Cloud 246

Cloud Applications Quality Assurance Data Center 246

TM Forum

APRIL 13, 2022

Dirk Reinert, Lead, 5G-Enabled Campus Edge Solutions, T-Systems, gives the example of computer vision, which is a field of artificial intelligence that enables systems to extract useful information from images and video that manufacturers can use in quality assurance. Nokia MX Industrial Edge.

Applications 130

Applications Network Enterprise Enterprise 130

Dataconomy

MARCH 5, 2025

Generative models are transforming the landscape of artificial intelligence by enabling machines to create new content that mimics existing data. Quality assurance: Generative models can produce inaccuracies if not sufficiently trained on comprehensive datasets. What is deep generative modeling?

Training 36

Training Quality Assurance Applications Network 36