A Big-Data Perspective on AI： Newton, Mer.pdfVIP

A L e t t e r f r o m t h e e d i t o r A Big-Data Perspective on AI: Newton, Merton, and Analytics Intelligence Fei-Yue Wang, State Key Laboratory of Management and Control for Complex Systems Editor: Fei-Yue Wang, State Key Laboratory of t seems like everyone been talking about “big data” recently, speculating Management and Control Ion the future of AI and intelligent systems. Big data has been character- for Complex Systems, feiyue@ ized in many ways, from Doug Laney’s original 2001 “3Vs” model to the vari- ous recent extended “4Vs” descriptions. Laney’s three Vs are volume, velocity, and variety; the fourth V could be variability, virtual, or value, depending on whom you ask. To most, those Vs indicate “bigness”—big size, fast movement, many types, and significant impact. To me, the “bigness” of big data is derived from its “smallness,” or more precisely, for its inclusion and use of data stemming from all degrees of volume, velocity, variety, value, variability, and so on, whether virtual or real. In particular, big data implies that the long-tail effects on per- sonal living and business