Jean Atelsek is a senior research analyst working across the Cloud & Managed Services Transformation channel and digital economics unit of 451 Research, a technology research group within S&P Global Market Intelligence. She covers vendors and technologies that manage or optimize public and private cloud total cost of operations, performance or consumption. This includes FinOps products, platforms and providers that help organizations forecast, analyze and optimize cloud spending based on data collected from the IT environment. In the cloud-native universe, Jean focuses on container-native software and platforms, serverless architectures, service mesh, and the converging worlds of observability, runtime policy enforcement and application networking. She also covers technology accelerators for application modernization, including the application of natural language processing and generative AI to effect code translation. As a maintainer of the quarterly Cloud Price Index, Jean tracks benchmark pricing for a selection of infrastructure and managed services around the world. With data collected from millions of hyperscaler SKUs, she looks at trends in pricing, service additions and regional expansion plans for the major public cloud providers. Prior to joining S&P Global Market Intelligence, Jean worked at Omdia in the telecom, networks and consumer technology sectors. She holds a BA from Oberlin College.
As organizations work to leverage the power of AI in interacting with LLMs, they have invested in prompt engineering to generate better results. But agents shift the need to manage the full context of not only the prompt, but also the data being presented. Analysts Jean Atelsek and Alex Johnston join
The cloud sector continues to transform as hyperscalers, managed service providers, global systems integrators, hardware vendors and independent software vendors advance overlapping visions for IT infrastructure and application modernization enabled by automation and powered by the disruptive promise of generative AI. Developer services, integration, automation and business processes take on new importance as modern enterprise IT environments mature and we transition from the "era of cloud" to the "era of AI."
The company's software bridges the gap between cloud cost visibility and operational action via integrations with cloud services, LLMs, FinOps tools and collaboration/ticketing platforms. Actions can run on a schedule or in response to user-defined triggers, with human approval as an option.
Kubernetes has been essential for training popular large language models, and its versatility is proving valuable as the market shifts focus to inferencing and agentic workflows. Providers have signed on to a new program certifying that their Kubernetes AI stacks conform to shared requirements.
The stand-alone service consolidates the hyperscaler's IP for modernizing applications. It is delivered via a web-based platform that lives outside the AWS console. Initially targeting mainframe, Windows .NET and VMware applications, AWS Transform uses AI and coding agents to accelerate painstaking phases of the migration/modernization process.
The Big Three cloud providers are infusing agents into their own services and expect customers to do the same, leading to a frenzy of deals with AI model purveyors and record capital outlays. Meanwhile, Oracle is pressing its advantage as a first-party software provider in multiple clouds as infrastructure sales ramp up.
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