LEADER 01166nam1 2200361 450 001 990002960300203316 005 20081229104746.0 035 $a000296030 035 $aUSA01000296030 035 $a(ALEPH)000296030USA01 035 $a000296030 100 $a20070725h2005----km-y0itay50------ba 101 1 $aita$ceng 102 $aIT 105 $aa---||||001yy 200 1 $a<> anima dell'impero 210 $aVerucchio$cCentro internazionale ricerche sulle strutture ambientale "Pio Manzu"$d2005 215 $a2 v.$cill.$d24 cm 454 1$12001$a<> soul of the empire$958511 463 \1$1001990002960320203316$12001 $a<> <> orizzonti inquieti del petrolio tra apocalisse e sostenibilitą 606 0 $aPetrolio 676 $a338.27 801 0$aIT$bsalbc$gISBD 912 $a990002960300203316 951 $a338.27 ORI 1/ (IRA 17)$bL.M.$cIRA 17 959 $aBK 969 $aECO 979 $aPAOLA$b90$c20070725$lUSA01$h1008 979 $aPAOLA$b90$c20070725$lUSA01$h1018 979 $aPAOLA$b90$c20070725$lUSA01$h1018 979 $aRSIAV1$b90$c20081229$lUSA01$h1047 996 $aSoul of the empire$958511 997 $aUNISA LEADER 04496nam 2200517 450 001 9910522999303321 005 20220905160532.0 010 $a1-4842-7824-0 024 7 $a10.1007/978-1-4842-7824-6 035 $a(MiAaPQ)EBC6838838 035 $a(Au-PeEL)EBL6838838 035 $a(CKB)20275197900041 035 $a(OCoLC)1291314197 035 $a(OCoLC)1290841098 035 $a(OCoLC-P)1290841098 035 $a(CaSebORM)9781484278246 035 $a(EXLCZ)9920275197900041 100 $a20220905d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aManaging AI in the enterprise $esucceeding with AI projects and MLops to build sustainable AI organizations /$fKlaus Haller 210 1$aNew York, New York :$cApress Media LLC,$d[2022] 210 4$d©2022 215 $a1 online resource (223 pages) 300 $aIncludes index. 311 08$aPrint version: Haller, Klaus Managing AI in the Enterprise Berkeley, CA : Apress L. P.,c2021 9781484278239 327 $a1. Why Organizations Invest in AI -- 2. Structuring and Delivering AI Projects -- 3. Quality Assurance in and for AI -- 4. Ethics, Regulations, and Explainability -- 5. Building an AI Delivery Organization -- 6. AI & Data Management Architectures -- 7. Securing & Protecting AI Environments -- 8. Looking Forward. 330 $aDelivering AI projects and building an AI organization are two big challenges for enterprises. They determine whether companies succeed or fail in establishing AI and integrating AI into their digital transformation. This book addresses both challenges by bringing together organizational and service design concepts, project management, and testing and quality assurance. It covers crucial, often-overlooked topics such as MLOps, IT risk, security and compliance, and AI ethics. In particular, the book shows how to shape AI projects and the capabilities of an AI line organization in an enterprise. It elaborates critical deliverables and milestones, helping you turn your vision into a corporate reality by efficiently managing and setting goals for data scientists, data engineers, and other IT specialists. For those new to AI or AI in an enterprise setting you will find this book a systematic introduction to the field. You will get the necessary know-how to collaborate with and lead AI specialists and guide them to success. Time-pressured readers will benefit from self-contained sections explaining key topics and providing illustrations for fostering discussions in their next team, project, or management meeting. Reading this book helps you to better sell the business benefits from your AI initiatives and build your skills around scoping and delivering AI projects. You will be better able to work through critical aspects such as quality assurance, security, and ethics when building AI solutions in your organization. What You Will Learn Clarify the benefits of your AI initiatives and sell them to senior managers Scope and manage AI projects in your organization Set up quality assurance and testing for AI models and their integration in complex software solutions Shape and manage an AI delivery organization, thereby mastering ML Ops Understand and formulate requirements for the underlying data management infrastructure Handle AI-related IT security, compliance, and risk topics and understand relevant AI ethics aspects Who This Book Is For Experienced IT managers managing data scientists or who want to get involved in managing AI projects, data scientists and other tech professionals who want to progress toward taking on leadership roles in their organization's AI initiatives and who aim to structure AI projects and AI organizations, any line manager and project manager involved in AI projects or in collaborating with AI teams. 606 $aBusiness$xData processing 606 $aProject management$xTechnological innovations 606 $aArtificial intelligence$xIndustrial applications 615 0$aBusiness$xData processing. 615 0$aProject management$xTechnological innovations. 615 0$aArtificial intelligence$xIndustrial applications. 676 $a658.0563 700 $aHaller$b Klaus$f1939-2011,$01039332 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910522999303321 996 $aManaging AI in the Enterprise$92590781 997 $aUNINA LEADER 02292nam 2200493Ka 450 001 9910696852903321 005 20080724135838.0 035 $a(CKB)5470000002382353 035 $a(OCoLC)235961806 035 $a(EXLCZ)995470000002382353 100 $a20080724d2003 ua 0 101 0 $aeng 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSimulation of streamflow and water quality in the Christina River subbasin and overview of simulations in other subbasins of the Christina River basin, Pennsylvania, Maryland, and Delaware, 1994-98 /$fby Lisa A. Senior and Edward H. Koerkle ; in cooperation with the Delaware River Basin Commission, Delaware Department of Natural Resources and Environmental Control, and the Pennsylvania Department of Environmental Protection 210 1$aNew Cumberland, Pa. :$cU.S. Dept. of the Interior, U.S. Geological Survey,$d2003. 215 $axii, 144 pages $cdigital, PDF file 225 1 $aWater-resources investigations report ;$v03-4193 300 $aTitle from title screen (viewed July 24, 2008). 606 $aWater quality$zPennsylvania 606 $aWater quality$zMaryland 606 $aWater quality$zDelaware 606 $aStreamflow$zPennsylvania$xComputer simulation 606 $aStreamflow$zMaryland$xComputer simulation 606 $aStreamflow$zDelaware$xComputer simulation 615 0$aWater quality 615 0$aWater quality 615 0$aWater quality 615 0$aStreamflow$xComputer simulation. 615 0$aStreamflow$xComputer simulation. 615 0$aStreamflow$xComputer simulation. 700 $aSenior$b Lisa A$01390074 701 $aKoerkle$b Edward H$01407213 712 02$aDelaware River Basin Commission. 712 02$aDelaware.$bDepartment of Natural Resources and Environmental Control. 712 02$aPennsylvania.$bDepartment of Environmental Protection. 712 02$aGeological Survey (U.S.) 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910696852903321 996 $aSimulation of streamflow and water quality in the Christina River subbasin and overview of simulations in other subbasins of the Christina River basin, Pennsylvania, Maryland, and Delaware, 1994-98$93510463 997 $aUNINA