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5 dead-end IT skills — and how to avoid becoming obsolete

CIO Business Intelligence

CIOs and other executives identified familiar IT roles that will need to evolve to stay relevant, including traditional software development, network and database management, and application testing. In software development today, automated testing is already well established and accelerating.

How To 321
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The hard truth about lifecycle management

CIO Business Intelligence

Search for a definition of lifecycle management and you’ll find something along the lines of: A strategic approach to managing the life cycle of an application or platform from conception to end of life — from provisioning, through operations, to retirement. Under this definition lifecycle management doesn’t seem to do anything.

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Getting a foothold in the 5G applications ecosystem

TM Forum

Application developers have a critical role to play in generating innovative uses of 5G networks, as T-Mobile in the US made clear with its recent. Yet there has been no stampede by communications service providers (CSPs) to repeat the attempts made during the early days of 4G to create an application ecosystem.

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7 sins of software development

CIO Business Intelligence

Building an application that scales efficiently to handle millions or billions of events isn’t one of them. Outsourcing the wrong work The debate over building or buying software is a time-honored one with no definitive conclusion. The team will know their role and they’ll understand just how to code inside of it.

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Buyer’s guide: Edge data centers

Network World

Edge data centers include hardware, software, applications, data management, connectivity, gateways, security, and advanced analytics. It also provides the benefits of reduced latency for time-sensitive applications and enables data processing on-site for actionable information based on real-time analytics.

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Continuous validation and continuous integration

Dataconomy

This approach ensures that testing is performed frequently, helping to maintain high code quality. Definition Continuous Validation is the ongoing assessment of code changes using automated testing methods to ensure that new additions do not introduce errors or degrade existing functionality.

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Ground truth

Dataconomy

Models trained on high-quality datasets with sufficient samples tend to show superior performance and accuracy. On the contrary, models based on poorly constructed datasets may yield inaccurate results, leading to misguided decision-making in applications such as healthcare and finance.