There are wide discrepancies in data quality for hotel transactions across global regions, with the largest occurring in Asia-Pacific. Because hotels and agencies need to harness data quality to ...

This content has been created by the Finextra editorial team with inputs from subject matter experts at the funding sponsor. Joining the FinextraTV virtual studio, Andrew Colombi, Co-Founder & CTO, ...

As data estates have grown more complex, enterprises have invested in observability tools that monitor pipelines, track ...

As clinical development grows increasingly complex, the industry has recognized the critical role of centralized processes and risk‑based monitoring in ensuring high‑quality, reliable data. Regulatory ...

Sandesh Gawande, with 29+ years of experience in data and CEO of iceDQ: We engineer data reliability, because quality is never an accident. Organizations are investing heavily in AI and big data ...

Data observability firm Monte Carlo Data Inc. is turning its attention to unstructured information, introducing a new capability that will allow enterprises to monitor the enormous volumes of text, ...

Concerns about bots answering online surveys are exaggerated, but a new threat is emerging in artificial intelligence agents.

Citi has been dogged by data quality problems for years, and regulators are losing patience. The bank has put its new tech head, Tim Ryan, in charge of data efforts alongside COO Anand Selva. Another ...

SAN FRANCISCO--(BUSINESS WIRE)--Monte Carlo, the data and AI observability company, today announced a series of product enhancements and new capabilities at its annual IMPACT Data Observability Summit ...

Survey work is a series of complex processes. At the outset, there is sample and questionnaire design, as well as field training. During the data collection stage, there is monitoring and remedial ...