Financial operations, known as FinOps, are undergoing a quiet shift — from managing cloud costs to shaping business decisions based on AI-driven insights.
The practice is now an essential tool for managing AI spend and complexity; at the same time, AI is increasingly being embedded into the FinOps workflow. The result is that financial operations and AI have become inextricable from one another, with 74.3% of respondents in theCUBE Research’s recent survey identifying AI and machine learning as a top spending priority in the next 12 months.
The FinOps X event in San Diego will feature experts and leaders in financial operations and AI infrastructure, with exclusive coverage from theCUBE, SiliconANGLE’s livestreaming studio, June 8-10. Tune in to learn more about the future of FinOps, including its impact on cloud-native infrastructure and role in executive decision-making. (* Disclosure below.)
FinOps is no longer just about managing the cloud, but rather “total technology value,” according to theCUBE Research. Among organizations spending $100M+ annually, around 68% are already employing data formatted with FOCUS (FinOps Open Cost and Usage Specification), a framework that reduces complexity for FinOps practitioners.
“A defining theme expected at FinOps X is the pressure AI workloads are placing on cloud budgets,” said Sam Weston, industry analyst at theCUBE Research. “We find that AI-driven cost volatility is forcing organizations to treat economic efficiency as a first-class engineering concern, accelerating the convergence of DevOps, CloudOps and FinOps.”
TheCUBE Research notes that FinOps is shifting left — introducing financial context earlier in the development pipeline — and up, which translates to FinOps playing a bigger role in executive decision-making. Together, these trends mark a structural shift in the software delivery lifecycle.
In the future, FinOps could evolve into the operating model for technology value in the AI era. The earlier organizations implement cost awareness into the app development process, the better prepared they will be to meet the demands of AI workloads.
“Organizations implementing FinOps within platform engineering and CI/CD pipelines are seeing up to 30% improvement in cloud resource efficiency while accelerating AI application delivery,” Nashawaty said. “The future of AppDev depends on balancing innovation speed with operational and financial accountability.”
Don’t miss theCUBE’s coverage of FinOps X from June 8-10. Plus, you can watch theCUBE’s exclusive content on-demand after the event.
We offer you various ways to watch theCUBE’s coverage of FinOps X, including theCUBE’s dedicated website and YouTube channel. You can also get all the coverage from this year’s event on SiliconANGLE.
SiliconANGLE’s “theCUBE Pod” is available on Apple Podcasts, Spotify and YouTube, which you can enjoy while on the go. During each podcast, SiliconANGLE’s John Furrier and Dave Vellante unpack the biggest trends in enterprise tech — from AI and cloud to regulation and workplace culture — with exclusive context and analysis.
SiliconANGLE also produces our weekly “Breaking Analysis” program, where Dave Vellante examines the top stories in enterprise tech, combining insights from theCUBE with spending data from Enterprise Technology Research, available on Apple Podcasts, Spotify and YouTube.
During theCUBE’s coverage of FinOps X, company executives and industry experts will share insights on how FinOps is evolving as AI reshapes cloud economics, infrastructure strategy and technology decision-making. TheCUBE will interview leaders from the FinOps Foundation, AMD, Microsoft, Google Cloud, Chevron, Datadog and more.
(* Disclosure: TheCUBE is a paid media partner for the FinOps X event. Neither the FinOps Foundation, the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
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