As AI evolves from prediction to autonomy, enterprise systems must adapt—meeting new demands in data retrieval, caching, freshness and orchestration.

Efficiency in AI development, paired with open source sharing in the industry, can help empower startups and enterprise ML ...

The rush to implement generative AI is creating ‘agent sprawl’ and data problems. Snowflake’s chief data analytics officer, ...

Social media has birthed an entire lexicon replicated by millions online — even if these words don’t actually mean skibidi. On today’s show, we talk to author Adam Aleksic about how TikTok and ...

In an interview with Harvard Law Today, Noah Giansiracusa explains how companies deploy what some call "dynamic" or “surveillance pricing,” using individual customers' data as a primary algorithmic ...

Many assume that LLMs will always be provided by big tech companies through the cloud, but is that true? (LLMs and power ...

Algorithmic trading provides a more systematic approach to active trading than one based on intuition or instinct. Learn how hedge funds use computer programs to trade.

The study is to explore the effects of development interventions on Rangeland and implications case study of Burder landscape, by assessing the LULC form 1986-2022. The findings are used to examine ...

By Kingsley Webora TANKEHAmid ethical concerns around the use of artificial intelligence (AI) and potential loss, organiser of the upcoming Pan-African AI Summit Mr. Felix Donkor has revealed that the ...