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 ...

The availability of up-to-date and accurate data is a fundamental requirement for the vast majority of industry sectors. Whether it’s Facebook exploring where we like to eat or major credit ...

From AI training to gaming and healthcare: Here’s how decentralized file-sharing is solving performance, cost and latency issues across industries. The Information Age steadily turned the real world ...

Most of the data for AI-driven systems and blockchain-based dapps powering the emerging global economic order run on centralized infrastructure. But centralization has its problems. For example, dapps ...

AI and its machine learning algorithms need data to work. By now, that's a known fact. It's not that algorithms don't matter, it's just that typically, getting more data, better data, helps come up ...

It's now possible to eliminate the traditional divide between centralized business intelligence and decentralized data analysis, writes Birst's Brad Stillwell Companies today often realize they need ...

Academic institutions house some of the world’s most important data generated from years of research. Yet centralized data storage models are becoming a concern for many universities looking to keep ...

The influence of the world’s biggest internet companies grows exponentially with the amount of data they gather from users, just as the criticism they receive grows. Due to the organization of the web ...

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