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The early returns on gen AI for software development

CIO Business Intelligence

Generative AI is already having an impact on multiple areas of IT, most notably in software development. Still, gen AI for software development is in the nascent stages, so technology leaders and software teams can expect to encounter bumps in the road.

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Embedded software development for IoT applications

Dataconomy

Whether you are an end-user wanting access or control over products and services, or a manufacturer wishing to build better technology systems faster than before – one key component remains essential: embedded software development. For up-to-date reference on embedded software development best practices, you can go for N-ix resources.

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Are You On An Agile+DevOps Journey? Don’t Miss Out On Continuous Testing Services!

Forrester IT

The most dangerous parallel initiatives are those where, on one side, they are changing their development teams to become more Agile, but a separate initiative in the same enterprise exists where their Operations folks are running a development and operations (DevOps) transformation. Application Development.

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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. 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. acquisition of Robin.io.

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Triple Play for Tech Success: Why Dev, Prod, and QA Environments are Essential in On-Prem Software Management

KineticData

What does it take to run a reliable on prem application? When partnering with Kinetic Data for an on-premises (on-prem) installation of our platform, we advocate a strategy of “triple preparedness”: establishing Development (Dev), Production (Prod), and Quality Assurance (QA) environments. It takes practice!

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The Hidden Gem of Savings in the Software Delivery. And no, it’s not AI

CIO Business Intelligence

According to Deloitte research , AI will boost the productivity of software development processes from 50% to 1000%. It will improve project management, help with requirements creation, assist developers with coding, cover the system with auto-tests, report defects, and improve deployment.

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How to manage data integration during an acquisition

CIO Business Intelligence

The ability to store, manage, control and replicate data between the mainframe, on-premise software, and public cloud platforms in real time will allow businesses to tap into innovation, no matter how large the data set or how quickly it needs to be integrated.

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