The artificial intelligence (AI) market is projected to reach $243.70 billion in 2025, reflecting the massive financial backing behind AI advancements. It is not surprising that major technology ...

The Decentralized Storage Alliance today welcomed six new members as the organization continues its mission to transform enterprise data storage with decentralized solutions. Founded in 2022, the DSA ...

HONG KONG, HK - March 27, 2026 - PRESSADVANTAGE - TT Chain, a Real-World Asset-focused Layer 2 blockchain network, has ...

As the demand for data storage continues to surge, driven by cloud computing, IoT, AI and big data applications, the energy consumption of centralized data centers has become a significant ...

Decentralized Data Oracles are critical components of blockchain technology that bridge the gap between on-chain and off-chain data sources. Band Protocol, a decentralized oracle network, has emerged ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Healthcare and insurance payers spend ...

Cere Network has raised $5 million for its decentralized data cloud (DDC) platform, which is launching today for developers. The company's ambition is to take on data cloud leader Snowflake. The ...

With strengthened AI, ever-growing demands are placed on ethical data access and transparency in models and security in computation. Centralized AI models dominated by a few companies stifle ...

Big Tech may seem like a monolith, but if early 2023 is teaching us anything, it’s that the size of your wallet doesn’t an accurate AI make. Even the most sophisticated AI model will lose credibility ...

Humanity is producing a staggering volume of data, but the processing power of chips cannot keep pace — decentralization is the answer. When it comes to computer data storage, it can seem like we are ...

Please provide your email address to receive an email when new articles are posted on . Use of decentralized elements in cancer clinical trials did not have long-term negative effects on data quality.