Palantir Technologies Inc., a leading provider of AI software platforms, announced it had been recognized as a Leader in artificial intelligence and machine learning (AI/ML) software platforms by renowned research and advisory firm Forrester.
Palantir was among the select companies that Forrester invited to participate in “The Forrester Wave™: AI/ML Platforms, Q3 2024” report. Palantir was cited as a Leader in this research, with the highest ranking for Current Offering.
As stated in the report: “Palantir has one of the strongest offerings in the AI/ML space with a vision and roadmap to create a platform that brings together humans and machines in a joint decision-making model. Its approach is to use its data pipelining capabilities and differentiated ontology to support the basis of its AI platform (AIP) offering… Palantir is quietly becoming one of the largest players in this market, seeing a consistent sustained growth rate in the past half decade by making its platform more accessible to users, investing in customer success, and embracing the support of multirole AI teams.”
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“Palantir AIP powers the most demanding use-cases across the public and private sector, and is uniquely designed to connect AI directly into frontline operations,” said Akshay Krishnaswamy, Palantir’s Chief Architect. “We believe that being named a Leader in this Forrester Wave evaluation validates our investments across model-agnostic Generative AI infrastructure, multimodal guardrails for human-AI teaming, the decision-centric Ontology — and the full range of other capabilities needed to take enterprises from AI prototype to production.”
Palantir AIP provides the end-to-end architecture for enabling real-time, AI-driven decision-making. Together with Palantir Foundry and Palantir Apollo, AIP enables the “AI Mesh” architecture that is setting the standard for enterprises seeking to deliver composable, interoperable, and scalable value through AI. From public health to battery production, organizations depend on Palantir to safely, securely, and effectively leverage AI in their enterprises — and drive operational results.
Source: Businesswire
