CIO Business Intelligence
SEPTEMBER 10, 2024
The traditional software development life cycle (SDLC) is fraught with challenges, particularly requirement gathering, contributing to 40-50% of project failures. These challenges persist because companies still rely on traditional SDLC management methods, which can result in slow, error-prone processes. Result: 70% more efficient.
CIO Business Intelligence
MARCH 25, 2025
Just as no one wants to run mission-critical systems on decade-old hardware, modern SDLC and DevOps practices must treat software dependencies the same way keep them updated, streamlined, and secure. The average app contains 180 components , and failing to update them leads to bloated code, security gaps, and mounting technical debt.
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CIO Business Intelligence
SEPTEMBER 6, 2024
Drive AI into IT delivery by accelerating adoption within your function to boost productivity and champion change.
CIO Business Intelligence
NOVEMBER 2, 2023
Enterprise software companies and large corporations usually have some level of security built into their software development lifecycle; but on mobile the entire SDLC could be a day or a week between the initial idea and deployment. The future is no brighter Nowadays, everyone is talking about artificial intelligence (AI).
Cloud Musings
DECEMBER 19, 2016
In fact, the widespread adoption of cognitive systems and artificial intelligence (AI) across various industries is expected to drive worldwide revenues from nearly US$8.0 The most likely candidates have moved beyond descriptive and diagnostic, predictive and routine industry-specific capabilities.
SecureWorld News
AUGUST 7, 2023
Why should AI get a pass on S (Secure) SDLC methodologies? Despite the active contributions of SDLC methodologies over the past 20 years—such as Waterfall, Agile, V-shaped, Spiral, Big Bang, and others—there remains a lack of security-by-design for integration into AI developments such as ChatGPT, DALL-E, and Google's Bard.
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