LEADER 03471nam 2200517 450 001 9910820417503321 005 20211124055132.0 010 $a1-119-48409-X 010 $a1-119-48408-1 035 $a(CKB)4100000007220979 035 $a(Au-PeEL)EBL5612944 035 $a(OCoLC)1077576841 035 $a(CaSebORM)9781119484066 035 $a(MiAaPQ)EBC5612944 035 $a(EXLCZ)994100000007220979 100 $a20190103d2019 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAI for marketing and product innovation $epowerful new tools for predicting trends, connecting with customers, and closing sales /$fA. K. Pradeep, Andrew Appel, Stan Sthanunathan 205 $a1st edition 210 1$aHoboken, New Jersey :$cWiley,$d[2019] 210 4$dİ2019 215 $a1 online resource (267 pages) 300 $aIncludes index. 311 $a1-119-48406-5 330 $aGet on board the next massive marketing revolution AI for Marketing and Product Innovation offers creatives and marketing professionals a non-tech guide to artificial intelligence (AI) and machine learning (ML)?twin technologies that stand poised to revolutionize the way we sell. The future is here, and we are in the thick of it; AI and ML are already in our lives every day, whether we know it or not. The technology continues to evolve and grow, but the capabilities that make these tools world-changing for marketers are already here?whether we use them or not. This book helps you lean into the curve and take advantage of AI?s unparalleled and rapidly expanding power. More than a simple primer on the technology, this book goes beyond the ?what? to show you the ?how?: How do we use AI and ML in ways that speak to the human spirit? How to we translate cold technological innovation into creative tools that forge deep human connections? Written by a team of experts at the intersection of neuroscience, technology, and marketing, this book shows you the ins and outs of these groundbreaking technological tools. Understand AI and ML technology in layman?s terms Harness the twin technologies unparalleled power to transform marketing Learn which skills and resources you need to use AI and ML effectively Employ AI and ML in ways that resonate meaningfully with customers Learn practical examples of how to reinvest product innovation, brand building, targeted marketing and media measurement to connect with people and enhance ROI Discover the true impact of AI and ML from real-world examples, and learn the thinking, best practices, and metrics you need to capture this lightning and take the next massive leap in the evolution of customer connection. AI for Marketing and Product Innovation shows you everything you need to know to get on board. 606 $aMarketing$xTechnological innovations 606 $aArtificial intelligence 606 $aMachine learning 615 0$aMarketing$xTechnological innovations. 615 0$aArtificial intelligence. 615 0$aMachine learning. 676 $a658.80028563 700 $aPradeep$b A. K.$01678339 702 $aAppel$b Andrew$f1964- 702 $aSthanunathan$b Stan 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910820417503321 996 $aAI for marketing and product innovation$94045908 997 $aUNINA LEADER 04936nam 22006135 450 001 9910580152703321 005 20251113183844.0 010 $a981-16-9113-4 024 7 $a10.1007/978-981-16-9113-3 035 $a(MiAaPQ)EBC7026772 035 $a(Au-PeEL)EBL7026772 035 $a(CKB)24100760400041 035 $a(PPN)267815387 035 $a(OCoLC)1334891746 035 $a(DE-He213)978-981-16-9113-3 035 $a(EXLCZ)9924100760400041 100 $a20220630d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCongress on Intelligent Systems $eProceedings of CIS 2021, Volume 2 /$fedited by Mukesh Saraswat, Harish Sharma, K. Balachandran, Joong Hoon Kim, Jagdish Chand Bansal 205 $a1st ed. 2022. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2022. 215 $a1 online resource (914 pages) 225 1 $aLecture Notes on Data Engineering and Communications Technologies,$x2367-4520 ;$v111 311 08$aPrint version: Saraswat, Mukesh Congress on Intelligent Systems Singapore : Springer,c2022 9789811691126 320 $aIncludes bibliographical references and index. 327 $aA Novel Feature Descriptor: Color Texture Description with Diagonal Local Binary Patterns Using New Distance Metric for Image Retrieval -- OntoINT: A Framework for Ontology Integration based on Entity Linking from Heterogenous Knowledge Sources -- Removal of Occlusion in Face Images Using Pix2pix Technique for Face Recognition -- Age, Gender and Emotion Estimation Using Deep Learning -- Qualitative classification of wheat grains using supervised learning -- Assessment of Attribution in Cyber Deterrence: A Fuzzy Entropy Approach -- A Deep Learning Approach for Plagiarism Detection System using BERT -- Performance Analysis of Machine Learning Algorithms for Website Anti-phishing -- Analysis and performance of JADE on Interoperability issues between two platform Languages -- Classification of Covid 19 Chest CT images using Optimized Deep Convolutional Generative Adversarial Network and deep CNN -- Model order reduction of Continuous time multi input multi output system using Sine Cosine Algorithm.-Optimizing an Inventory Routing Problem Using a Modified Tabu Search -- Forecasting stock market indexes through machine learning using technical analysis indicators and DWT -- An Empirical Study of Signal Transformation Techniques on Epileptic Seizures Using EEG Data -- Real-Time Segregation of Encrypted Data Using Entropy -- Improved Telugu Scene Text Recognition with Thin plate spline transform -- Limacon inspired PSO for LSSMTWTS problem. 330 $aThis book is a collection of selected papers presented at the Second Congress on Intelligent Systems (CIS 2021), organized by Soft Computing Research Society and CHRIST (Deemed to be University), Bengaluru, India during September 4 ? 5, 2021. It includes novel and innovative work from experts, practitioners, scientists and decision-makers from academia and industry. It covers topics such as Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro fuzzy systems. 410 0$aLecture Notes on Data Engineering and Communications Technologies,$x2367-4520 ;$v111 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aRobotics 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aRobotics 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aRobotics. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aRobotics. 676 $a006.3 702 $aSaraswat$b Mukesh 712 12$aCongress on Intelligent Systems$d(2nd :$f2021 :$eOnline) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aPROCEEDING 912 $a9910580152703321 996 $aCongress on intelligent systems$92586081 997 $aUNINA