LEADER 01329nam--2200421---450- 001 990003086190203316 005 20080325170147.0 010 $a3-7752-5435-8 035 $a000308619 035 $aUSA01000308619 035 $a(ALEPH)000308619USA01 035 $a000308619 100 $a20080325d1999----km-y0itay50------ba 101 $ager$alat 102 $aDE 105 $a||||||||001yy 200 1 $a<> Chronik des Saba Malaspina$fherausgegeben von Walter Koller und August Nitschke 210 $aHannover$cHahnsche Buchhandlung$d1999 215 $aX, 430 p.$d30 cm. 225 2 $aMonumenta Germaniae historica$iScriptores$v35 410 0$12001$aMonumenta Germaniae historica 454 1$12001$aLiber gestorum regum Sicilie$926854 461 1$1001-------$12001 606 0 $aRegno di Sicilia <1130-1815>$xStoria$z1194-1282$xFonti 676 $a945.804 700 1$aSABAS$0485100 702 1$aKOLLER,$bWalter 702 1$aNITSCHKE,$bAugust 801 0$aIT$bsalbc$gISBD 912 $a990003086190203316 951 $aF II a 142$b2421 DLM$cF II a 959 $aBK 969 $aDILAM 979 $aDILAM1$b90$c20080325$lUSA01$h1658 979 $aDILAM1$b90$c20080325$lUSA01$h1700 979 $aDILAM1$b90$c20080325$lUSA01$h1701 996 $aLiber gestorum regum Sicilie$926854 997 $aUNISA LEADER 01290cam a2200289 i 4500 001 991001873009707536 008 061004s2006 de b 001 0 eng d 020 $a3540346708 (hd. bd.) 024 3 $a9783540346708 035 $ab13440779-39ule_inst 040 $aDip.to Matematica$beng 084 $aAMS 46L55 100 1 $aNeshveyev, Sergey$0501502 245 10$aDynamical entropy in operator algebras /$cSergey Neshveyev, Erling Størmer 260 $aBerlin :$bSpringer,$cc2006 300 $aix, 296 p. ;$c24 cm 490 1 $aErgebnisse der Mathematik und ihrer Grenzgebiete. 3. Folge,$x0071-1136 ;$v50 =$aA series of modern surveys in mathematics,$x0071-1136 ;$v50 504 $aIncludes bibliographical references (p. [279]-289) and index 650 0$aTopological entropy 700 1 $aStørmer, Erling$eauthor$4http://id.loc.gov/vocabulary/relators/aut$0598654 830 0$aErgebnisse der Mathematik und ihrer Grenzgebiete. 3. Folge ;$v50 907 $a.b13440779$b02-04-14$c04-10-06 912 $a991001873009707536 945 $aLE013 46L NES11 (2006)$g1$i2013000203812$lle013$op$pE129.95$q-$rl$s- $t0$u0$v0$w0$x0$y.i14305811$z24-10-06 996 $aDynamical entropy in operator algebras$91028066 997 $aUNISALENTO 998 $ale013$b04-10-06$cm$da $e-$feng$gde $h0$i0 LEADER 02979nam 2200445 450 001 9910555154503321 005 20200721033056.0 010 $a1-119-59614-9 010 $a1-119-59613-0 010 $a1-119-59616-5 035 $a(CKB)4100000010870986 035 $a(MiAaPQ)EBC6166911 035 $a(CaSebORM)9781119596127 035 $a(EXLCZ)994100000010870986 100 $a20200721d2020 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAI and the future of banking /$fTony Boobier 210 1$aWest Sussex, England :$cWiley,$d[2020] 210 4$d©2020 215 $a1 online resource (xx, 283 pages) $cillustrations 225 1 $aWiley finance series 300 $aIncludes index. 311 $a1-119-59612-2 330 $a"AI and the Future of Banking is an informative guide on the applications of Cognitive Analytics/Artificial Intelligence (AI) to the banking industry. The book will equip any industry participant, including new entrants to the industry, with the essential information to understand the implications of data and analytics on their roles, responsibilities and personal career development, with focus on the use of analytics to create operational effectiveness, customer retention and finance and risk management. While a combination of theory and published case studies, it will not be a technical book (i.e. about IT architecture, platforms and algorithms) or a detailed review of a specific working area but rather an easy read for those with limited or no IT background. The book will also discuss the concept of data-driven 'Open Banking,' which is a process that uses 'APIs' to share information securely, without having to reveal passwords. IDC say that by 2020, 50% of all businesses will be using cognitive analytics, which are intelligent and self-learning systems that respond to human voices rather than needing to be 'coded'. The use of Cognitive Analytics/Artificial Intelligence (AI) Systems and data in banking is set to accelerate. The cognitive or a 'AI' computing market is estimated to exceed $12.0 Billion by 2022, with banking identified as an 'early-mover' industry. Gartner say that AI will be mainstream for banking in 5-10 years. There is already evidence that early-mover banks are beginning to investigate these new technologies. 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