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What CIOs can do: Avoid and reduce data debt by incorporating data governance and analytics responsibilities in agile data teams , implementing data observability , and developing data quality metrics. For this reason, organizations with significant data debt may find pursuing many gen AI opportunities more challenging and risky.
It’s no exaggeration to say that modern enterprises run on DevOps. Rapidly moving markets and constantly changing business conditions require development teams to work closely with operations and end-users in a flexible, agile manner. Continuous improvement and continuous development (CI/CD) cycles are the DevOps way of life.
(A version of this Blog originally published on Auth0 Blogs ) Apps are becoming componentized and API-based to facilitate reuse and agility; Identity management cloud services will help. "In Here's why: IAM systems have traditionally been embedded into apps and frameworks (think: React, Angular, JS, etc.).
But a string of recent disruptions and upcoming policy changes are forcing a more proactive, agile, and strategic approach from the top to signal the importance of getting these fundamentals right. Crypto-agility is all about how fast you can get back up on the other side.” It’s only a matter of time.
He’s also a big believer in the agileDevOps concept of “shifting left” when it comes to technology — performing testing and evaluation early in the development process, generally before code is written — and “shifting right” when it concerns talent, where his vision for eliminating Toyota’s service desk is an example.
Enterprises continue to shift to more agile and continuous software development and delivery. What these organizations had in common is that they sought a solution to address their current tech stack and IT landscape while easing adoption of emerging technology and agile processes for faster and more effective continuous delivery.
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