Nov. 5, 2023, 6:45 a.m. | Santosh Palaskar, Vijay Ekambaram, Arindam Jati, Neelamadhav Gantayat, Avirup Saha, Seema Nagar, Nam H. Nguyen, Pankaj Dayama, Renuka Sindhgatta, Prat

cs.LG updates on arXiv.org arxiv.org

The efficiency of business processes relies on business key performance
indicators (Biz-KPIs), that can be negatively impacted by IT failures. Business
and IT Observability (BizITObs) data fuses both Biz-KPIs and IT event channels
together as multivariate time series data. Forecasting Biz-KPIs in advance can
enhance efficiency and revenue through proactive corrective measures. However,
BizITObs data generally exhibit both useful and noisy inter-channel
interactions between Biz-KPIs and IT events that need to be effectively
decoupled. This leads to suboptimal forecasting performance …

advance arxiv business business processes data efficiency event forecasting it observability key performance indicators kpis multivariate observability observability data performance processes series time series together

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

AI Engineering Manager

@ M47 Labs | Barcelona, Catalunya [Cataluña], Spain