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Palantir and Lumen Forge Multi-Year AI Partnership

Palantir and Lumen Forge Multi-Year AI Partnership
Palantir announced a multi-year, multi-million-dollar strategic partnership with Lumen Technologies. The deal pairs Palantir's Foundry and Artificial Intelligence Platform (AIP) with Lumen's edge computing and broadband infrastructure, enabling Lumen to accelerate its transformation from a traditional telecom provider to a modern tech infrastructure player. Lumen reports that using Palantir's technology contributed to significant cost reductions and informs its broader enterprise AI service offering. The collaboration marks one of many partnerships Palantir has formed across diverse sectors this year. Read more →

Alloy Brings Data Management Solutions to the Robotics Industry

Alloy Brings Data Management Solutions to the Robotics Industry
Sydney‑based startup Alloy is creating a data‑infrastructure platform tailored for robotics companies. The system encodes, labels and makes robot‑generated multimodal data searchable with natural language, while allowing users to set rule‑based alerts for anomalies. Founder and CEO Joe Harris, a former Atlassian and telehealth employee, launched Alloy in February 2025 after identifying data‑handling as a common pain point among robotics founders. Since then, Alloy has signed four Australian robotics firms as design partners, raised over AUD $4.5 million in a pre‑seed round led by Blackbird Ventures, and is preparing to expand into the U.S. market. Read more →

AI Race Highlights Need for Robust Data Infrastructure

AI Race Highlights Need for Robust Data Infrastructure
Companies worldwide are accelerating AI adoption, but many leaders underestimate the data infrastructure required for success. While a majority of organizations are piloting or scaling AI, fewer report meaningful improvements. The gap stems from siloed, low‑quality data and misaligned leadership and IT strategies. Experts stress that clean, organized, and secure data, along with resilient cyber‑security and compliance measures, are essential facts for sustainable AI deployment. Read more →

AI Race Highlights Need for Robust Data Infrastructure

AI Race Highlights Need for Robust Data Infrastructure
Companies worldwide are accelerating AI adoption, but many leaders underestimate the data infrastructure required for success. While a majority of organizations are piloting or scaling AI, fewer report meaningful improvements. The gap stems from siloed, low‑quality data and misaligned leadership and IT strategies. Experts stress that clean, organized, and secure data, along with resilient cyber‑security and compliance measures, are essential facts for sustainable AI deployment. Read more →

AI Race Highlights Need for Robust Data Infrastructure

AI Race Highlights Need for Robust Data Infrastructure
Companies worldwide are accelerating AI adoption, but many leaders underestimate the data infrastructure required for success. While a majority of organizations are piloting or scaling AI, fewer report meaningful improvements. The gap stems from siloed, low‑quality data and misaligned leadership and IT strategies. Experts stress that clean, organized, and secure data, along with resilient cyber‑security and compliance measures, are essential facts for sustainable AI deployment. Read more →

AI Race Highlights Need for Robust Data Infrastructure

AI Race Highlights Need for Robust Data Infrastructure
Companies worldwide are accelerating AI adoption, but many leaders underestimate the data infrastructure required for success. While a majority of organizations are piloting or scaling AI, fewer report meaningful improvements. The gap stems from siloed, low‑quality data and misaligned leadership and IT strategies. Experts stress that clean, organized, and secure data, along with resilient cyber‑security and compliance measures, are essential facts for sustainable AI deployment. Read more →

AI Race Highlights Need for Robust Data Infrastructure

AI Race Highlights Need for Robust Data Infrastructure
Companies worldwide are accelerating AI adoption, but many leaders underestimate the data infrastructure required for success. While a majority of organizations are piloting or scaling AI, fewer report meaningful improvements. The gap stems from siloed, low‑quality data and misaligned leadership and IT strategies. Experts stress that clean, organized, and secure data, along with resilient cyber‑security and compliance measures, are essential facts for sustainable AI deployment. Read more →