The industry is at a crossroads. Despite the fact that a majority of teams are planning to deploy generative AI,an estimated90% of projects are not out of the prototyping phase. For enterprise leaders who want to overcome these hurdles faster, rapidly assessing the right vendors is critical.
Gartner’s recently-released “Innovation Guide for Generative AI Technologies” can help simplify that process, breaking down everything from market dynamics to piloting and evaluating vendors. The report also includes handy Emerging Market Quadrants to “represent the vendors’ capabilities in a dynamic and fast-moving market” across four categories: GenAI specialized cloud infrastructure, GenAI engineering, AI knowledge management apps, and GenAI model providers.
Arize is featured as an “Emerging Leader” in the AI engineering submarket, which Gartner defines as including technologies providing “full-model life cycle management, specifically adjusted to and catering for developing, refining and deploying generative models…and other GenAI artifacts in production applications.”
As the report notes: “Since generative models respond to prompting or seed conditions in different ways, it is important to monitor the interaction between the prompt and completion, observing how the model interprets the inbound prompt and how it responds to it.”
Arize’s platform is relied on every day by enterprises to do that and more, from performing end-to-end tracing to evaluating and troubleshooting agents and AI applications.
This latest update follows several other recognitions by Gartner. Previously, Arize was listed in the Gartner Market Guide for AI Trust, Risk, and Security Management (AI TRiSM) and was also named as a Cool Vendor in Gartner’s Enterprise AI Operationalization and Engineering Report.
Gartner clients can download the full “Innovation Guide for Generative AI Technologies”here.
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