High-impact AI implementations are more likely to treat data architecture, governance, and operationalization as strategic requirements, according to TDWI's 2026 Blueprint report.

High-impact AI implementations are more likely to treat data architecture, governance, and operationalization as strategic requirements, according to the 2026 Blueprint report from TDWI.

Shift is paying cleaners to wear camera headsets inside customers’ homes, building the datasets that could shape the future ...

Car buyers spending extra on a premium badge expect better build quality, but two government datasets on opposite sides of ...

Q4 FY2026 earnings call recap: sales +17%, $170M free cash flow, dividend hike, data-center tank outlook & risks—read now.

Deploy powerful computer vision instantly. Meet CamThink NeoEyes NE503: a 20 TOPS 4K Edge AI camera featuring open-source ...

Ultrapar is a holding company where Ipiranga has once again become the center of the story. For a long time, Ultrapar seemed ...

The data infrastructure behind firms like Vanguard, Robinhood, and RBC is now available to individual developers and ...

Traditional ETL tools like dbt or Fivetran prepare data for reporting: structured analytics and dashboards with stable schemas. AI applications need something different: preparing messy, evolving ...

The paper can be found here. If you have any question about the paper/codes, you can contact me through Email(yutao666@mail.ustc.edu.cn). Please run the codes where ...

Sensory neurons must remain selective for specific features in a scene, even when many stimuli fall within their receptive fields (RFs). In natural vision, this selectivity is preserved by a process ...

During my university days (in the 90s), we studied relational databases as the gold standard of data modeling, applying normal forms from 1NF to 3NF and beyond—normalization was the ultimate goal. Yet ...