Articles about "data infrastructure"

As AI workloads scale, organizations face inefficiencies in managing file and object storage systems separately. Emerging unified architectures aim to remove duplication and streamline data pipelines, supporting both scalability and operational simplicity.

As organizations race to implement artificial intelligence, many are hampered by fragmented and inadequate data infrastructures. Industry leaders at Databricks and Infosys stress that unified, well-governed data is central to deriving real business value from AI systems. Without foundational data readiness, enterprises risk poor AI performance and missed opportunities for innovation.

A robust data fabric is becoming a crucial requirement for enterprises seeking to leverage AI effectively. As organizations embed AI into core workflows, data quality and contextual understanding are emerging as the key challenges rather than model performance or computing power.

Forbes' latest AI 50 list reveals a market shift from building advanced AI models to prioritizing data infrastructure, deployment, and independence from major AI platforms. Startups increasingly focus on solving real-world challenges through innovative use of existing models rather than developing new ones from scratch.

Despite advances in enterprise data infrastructure, decision-making within organisations remains slow. Improvements in data pipelines have not translated into faster actionable insights due to a persistent human bottleneck and semantic challenges. The article argues that businesses must rethink their approach to decision infrastructure and measurement.

UK startup WholeSum has secured an additional $335,000 in pre-seed funding, raising its total to $1.3 million. The company focuses on providing reliable, auditable AI-driven text analytics for enterprise sectors where traditional generative AI solutions often fall short.

Qumulo has launched a new European software R&D hub in Cork, Ireland, creating 50 skilled positions over the next three years. The centre will focus on developing advanced data management and cloud infrastructure to support AI-scale workloads for global businesses. The initiative receives backing from the Irish government and highlights Ireland’s depth of technical talent.

Zurich-based Rivia has secured $15 million in Series A funding to improve the fragmented data infrastructure of clinical trials. The company is developing a unified data engine and embedded AI agents aimed at streamlining trial workflows, reducing costs, and accelerating medical innovation. The funding comes at a time when regulatory pressures and declining industry returns are prompting a need for more efficient trial operations.

United Manufacturing Hub has expanded its open-source data infrastructure platform to over 150 global manufacturing sites, aiming to address core challenges in factory digitalisation. By focusing on interoperability and providing a unified namespace for real-time machine data, the company enables scalable use of AI and automation in industrial environments.

Businesses are adopting data supply chains, a new framework that treats information as a dynamic asset flowing from creation to consumption. This approach aims to improve reliability and support real-time analytics and AI initiatives by addressing data silos, quality, and organizational alignment. The shift is expected to drive innovation and operational efficiency across industries.