When it comes to infusing artificial intelligence (AI) into enterprise applications, developers, platform engineers and data scientists are facing a tremendous opportunity. However, in Tanzu, we are also hearing about their struggles to get to production, not to mention achieving positive return on investment (ROI).

The way we build and scale AI-powered applications is changing faster than anyone could have imagined. Over the last couple of years, we’ve seen dramatic shifts in how developers design experiences and solve challenges with large language models (LLMs). But as trends continue to evolve—often faster than we can adopt them—the big question becomes: How do you find an application platform that doesn’t just keep up but is truly future-proof?

Across various industries including the Department of Defense (DoD), federal service agencies, financial institutions, healthcare and other highly regulated organizations, the National Institute of Standards and Technologies (NIST) 800 53 security framework, is used to describe the security compliance. It is a standard catalog of security controls for protecting organizations’ operations, assets, and users from cyber threats. To be sure that is a broad definition that requires more nuance.

Enterprise GenAI prototypes are everywhere. GenAI in production are far fewer. Why? Management consultancies have different success numbers – we’ve heard 3% or 5% going to prod across tens of thousands of AI proof of concepts. For obvious reasons, it’s not a number LLM enthusiasts want to talk about. But we probably should.

Over the course of 2024, the VMware Tanzu CloudHealth team has been teasing a new look and feel for Tanzu CloudHealth. In June, at FinOps X in San Diego, the team debuted the Private Beta of our new CloudHealth experience while work continued. Last week, during FinOps X Barcelona, we announced the Open Beta of the new CloudHealth experience.

FinOps X Europe has finished and what a success! One of the hot topics discussed during the keynote was the concept of “Scopes”, which was driven by the expanding role of the FinOps team. Expectations of the FinOps team could range anywhere from visibility for more complete unit economics to optimization of licenses to renewal negotiations. And one of the clear questions was, when does it stop? Read on for more on that.

As announced at FinOps X in June, VMware Tanzu CloudHealth has been working on one of the most significant updates to the platform in its history – an enhanced and modernized experience for our users. Since then, we have shared more details about how this new experience is designed with FinOps practitioners in mind and can power FinOps practices through the Inform, Optimize, and Operate phases throughout the FinOps Framework.

In today’s fast-paced digital landscape, businesses are eager to stay ahead of the competition. Many organizations have adopted cloud-native architectures, containers, and Kubernetes to gain a competitive edge and deliver workloads that leverage Generative AI and more. Central to this transformation is a necessity for a strong self-service application platform that meets business needs and fosters innovation.

GenAI apps, also known as Intelligent Apps, are the latest formulation of AI-capable applications. Unlike “Traditional” AI apps that utilize pre-defined processes in a chain to deliver predictive answers, GenAI apps create new and unique interactions with end users. Due to their creative and autonomous nature, integrating generative AI models into apps is like embedding a living brain into a piece of software.

This year at VMware Explore Las Vegas, we're excited to announce VMware Tanzu Platform 10. This new release is tailored for modern enterprises, aiming to transform how organizations manage, secure, and optimize their applications with enhanced flexibility and observability. Tanzu Platform 10 allows you to choose between Cloud Foundry and Kubernetes for your platform runtime, whether in public or private cloud environments.