West Virginia is on the brink of a potential economic transformation with the proposed data center project in Logan County. This ambitious initiative, driven by the interest of a major corporation in utilizing a mix of coal and renewable energy, promises to bring significant economic and
Artificial intelligence (AI) promises to revolutionize numerous industries, but the readiness of organizational data ecosystems for these advancements presents a significant question. Business leaders often harbor confidence that their data is well-prepared for AI deployment, believing that their
Amazon Web Services (AWS) is making significant strides in expanding its data center operations to meet the growing demands of artificial intelligence and cloud computing. Concurrently, AWS is enhancing its sustainability initiatives, which align closely with Amazon's broader commitment to
Cohesity, a recognized provider of AI-powered data security solutions, recently announced the completion of its strategic combination with Veritas' enterprise data protection business. This merger positions Cohesity as the world's largest data protection software provider by market share, enabling
Artificial Intelligence (AI) is becoming a cornerstone of modern business operations, driving innovation and efficiency. However, the path to AI integration is fraught with challenges, particularly in managing data complexity. This article explores how enterprises can achieve AI readiness through
As Artificial Intelligence (AI) becomes increasingly integral to modern businesses, understanding and managing data complexities is crucial for harnessing its full potential. The success of AI initiatives largely depends on how well organizations prepare, manage, and leverage their data. This
