A new report from Tangoe sheds light on FinOps implementations, artificial intelligence, and how to improve cloud costs and financial predictability. Cloud has taken every industry by storm. But the report shows that, despite the apparent benefits, “a variety of challenges still get in their way, mostly around cost control, security expertise, and a skills gap.” Furthermore, the ongoing “cloud sprawl” has not helped these issues.

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How FinOps and AI Curb Escalating Cloud Costs

Seattle-based Qumulo, which describes itself as “the simple way to manage exabyte-scale data anywhere,” recently announced a new version of its Scale Anywhere platform. The solution, which can run on commodity hardware or in the public cloud, seeks to help enterprises vexed by unstructured data. The company says that Scale Anywhere uses a unified approach to improve efficiency, security, and business agility.

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Qumulo’s New Scale Anywhere Platform Aims to Modernize Data Storage

A recent survey conducted by AWS and Morning Consult reveals a significant shift in business attitudes and plans toward responsible artificial intelligence for the upcoming year. A key finding from the survey’s many results: a remarkable 77 percent of the respondents acknowledge the importance of responsible AI, with younger leaders—aged 18 to 44—showing a higher familiarity with the concept of responsible AI compared to their older counterparts.

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AWS Study Finds Increasing Focus on Responsible AI

A busy week at AWS re:Invent started with a few key announcements from AWS, with contact center innovation being front and center. The contact center sector has largely stood still for the better part of four decades. While there has been an effort to move the systems from on-premises to the cloud, contact centers largely operate today as they did years years ago.

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AWS Aims to Reinvent Contact Centers with Gen AI