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Market Intelligence: Linked Data-driven Entity Resolution for Customer and Competitor Analysis [chapter]

Ulli Waltinger, Dan Tecuci, Florin Picioroaga, Cosmin Grigoras, Sean Sullivan
2013 Lecture Notes in Computer Science  
In this paper, we present a linked data-driven method for named entity recognition and disambiguation which is applied within an industry customer and competitor analysis application.  ...  The contributions of this paper are three fold: First, we want to give an overview of Market Intelligence, a customer and competitor analysis application developed for Siemens Energy, which allows users  ...  Conclusion In this paper, we gave an overview of the customer and competitor analysis application Market Intelligence for Siemens Energy.  ... 
doi:10.1007/978-3-642-39200-9_39 fatcat:gi6hjjooyzdzhmudmxbbvvb52q

Deriving marketing intelligence from online discussion

Natalie Glance, Matthew Hurst, Kamal Nigam, Matthew Siegler, Robert Stockton, Takashi Tomokiyo
2005 Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining - KDD '05  
This paper argues that applications for mining large volumes of textual data for marketing intelligence should provide two key elements: a suite of powerful mining and visualization technologies and an  ...  Marketing intelligence is derived through an interactive analysis framework uniquely configured to leverage the connectivity and content of annotated online discussion.  ...  This paper describes an end-to-end commercial system that is used to support a number of marketing intelligence and business intelligence applications.  ... 
doi:10.1145/1081870.1081919 dblp:conf/kdd/GlanceHNSST05 fatcat:3l3obqej4remtoxmbicba5txfa

Artificial intelligence: scope, players, markets and geography

Jean Paul Simon
2019 Digital Policy Regulation and Governance  
Finally, some of the main issues and challenges for policymakers are addressed. Over the past sixty years, AI has had both ups, or AI summers, and downs, or "AI winters".  ...  Paper type Research paper O ver the past few years, artificial intelligence (AI) has come to the fore and is now expected to be one of the most pervasive disruptive technologies.  ...  and behavioural data and provide customized health and medical advice.  ... 
doi:10.1108/dprg-08-2018-0039 fatcat:v2w2hslurbchbeh6he52en2dju

Towards Intelligent Risk-based Customer Segmentation in Banking [article]

Shahabodin Khadivi Zand
2020 arXiv   pre-print
For example, customer segmentation, i.e., the process of grouping related customers based on common activities and behaviors, could be a data-driven and knowledge-intensive process.  ...  In this paper, we present an intelligent data-driven pipeline composed of a set of processing elements to move customers' data from one system to another, transforming the data into the contextualized  ...  ACKNOWLEDGEMENTS -I acknowledge the AI-enabled Processes (AIP 2 ) Research Centre and Prospa 3 for funding this project.  ... 
arXiv:2009.13929v1 fatcat:v52ryj3xzrhrfdktn3tti7mwd4

Agent-based simulation of electricity markets: a survey of tools

Zhi Zhou, Wai Kin (Victor) Chan, Joe H. Chow
2007 Artificial Intelligence Review  
Based on the study, we describe an agentbased simulation framework for electricity markets to facilitate the development of future models for electricity markets.  ...  Next, we review four popular agent-based simulation packages developed for electricity markets and several agent-based simulation models reported in the literature.  ...  Second, AnyLogic provides statistical tools and data analysis objects for analyzing simulation results and visualizing dynamically changing data during the execution of a simulation.  ... 
doi:10.1007/s10462-009-9105-x fatcat:f2owewjaqjb73p3nedmsretxxi

The Intelligent Manufacturing Paradigm in Knowledge Society [chapter]

Ioan Dumitrache, Simona Iuliana
2010 Knowledge Management  
On the other hand, due to the socio-economical continuous progress, more and more producers entered the market, competing for customers by highly customized products, lower process and shorter delivery  ...  In order to properly use data for analysis and www.intechopen.com Evolution of Knowledge Management in manufacturing The Intelligent Manufacturing Paradigm in Knowledge Society 47 optimization, they  ...  This chapter is distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike-3.0 License, which permits use, distribution and reproduction for non-commercial purposes, provided  ... 
doi:10.5772/9533 fatcat:unzykc4xp5dpvba4rhr2wevltq

Artificial Intelligence and Data Science in the Automotive Industry [article]

Martin Hofmann, Florian Neukart, Thomas Bäck
2017 arXiv   pre-print
, sales and after-sales, connected customer).  ...  This article defines the terms "data science" (also referred to as "data analytics") and "machine learning" and how they are related.  ...  vehicle, and data concerning competitors, their models, and prices.  ... 
arXiv:1709.01989v1 fatcat:ddxespcumrb5rjmvlujg2nysw4

Business Intelligence Information in the World Under Control

Andres Felipe Quimbayo Gomez, Jhon Alejandro Botero Gomez, Leyder Andres Cabrales Salazar, Jhojan David Reinoso Bernal, Andres Felipe Marín Rodríguez
2021 American Journal of Computer Science and Technology  
, customer profile analysis, production planning or profitability of a product.  ...  , time later arrived the Business Intelligence 2.0, Big data and so on to structure a robust methodology in which all companies worldwide would be immersed.  ...  in terms of the market work, customer need and knowledge in competition.  ... 
doi:10.11648/j.ajcst.20210403.12 fatcat:4tzr62diojfd5h3xoe4wsbonbm

Shaping the Next Generation Pharmaceutical Supply Chain Control Tower with Autonomous Intelligence

Matthew Liotine
2019 Journal of Autonomous Intelligence  
This paper summarizes the findings of an industry panel study evaluating how new Autonomous Intelligence technologies, such as artificial intelligence and machine learning, impact the system and operational  ...  We also consider some the challenges in achieving this, which include data quality and integrity, collaboration and data sharing across supply chain tiers, cross-system interoperability, decision-validation  ...  Some segments should be targeted for AI automation and others for assessing more human-driven analyses, since AI and machine learning can capture human-driven information, such as social sentiment and  ... 
doi:10.32629/jai.v2i1.34 fatcat:rzmoe4naybbxpjzbxwzolmo4eq

SERVICE MARKETING [article]

Dr Sasikumar, Dr ONYX, Dr Vinayagam, Dr Gokulakrishnan
2022 Zenodo  
Service marketing for BBA, Bcom and MBA  ...  Providing a personalized and data-driven customer experience is the key to earning trust and reaching the right customers at the right place Data & Analytics As with marketing for any industry, putting  ...  in one place that prompts enhanced data analysis.  ... 
doi:10.5281/zenodo.6295073 fatcat:7a5onfvnw5aobco3fu7q22vsuq

Developing marketing capabilities for customer value creation through Marketing–Sales integration

Paolo Guenzi, Gabriele Troilo
2006 Industrial Marketing Management  
The capacity to create superior customer value stems from the marketing capabilities a company possesses.  ...  Findings show that Marketing-Sales integration is a multi-faceted construct made up of different components that impact different marketing capabilities and highlight its antecedents and consequences.  ...  Acknowledgement This study was partially supported by the Department of Marketing and the Research Division of SDA Bocconi School of Management.  ... 
doi:10.1016/j.indmarman.2006.06.006 fatcat:mux7ww4mrfaxvjwmbxagdrd6ha

Marketing of agricultural products: case findings

Martin Hingley, Adam Lindgreen
2002 British Food Journal  
, clusters, and patterns in the research data and secondly through across-case analysis.  ...  Investigated marketing issues include the following ones: (1) nature of relationship marketing, (2) implementation of relationship marketing, and (3) monitoring and measurement of relationship marketing  ...  This procedure meant that the improvement of the resulting theory happened through cycles of data collection and data analysis that continued until theoretical saturation (Eisenhardt, 1989; Lincoln and  ... 
doi:10.1108/00070700210448908 fatcat:we5y442rszhktdjojc3drt6t24

D6.2 Market Outlook Analysis

Vassilis Spitadakis
2021 Zenodo  
By highlighting the forces and conditions in the market, ENVISION will be aware of the driving elements to consider and the differentiation features to target.  ...  It also captures major direct and indirect competition that is already positioned in the market either already active or as a potential player.  ...  found through the analysis of the market outlook data, related to legal, political, technological and market environment and facts.  ... 
doi:10.5281/zenodo.6122355 fatcat:d23edb4nsvbbrejo7l656x4egi

Marketing ecosystem: An outside-in view for sustainable advantage

Jonathan Z. Zhang, George F. Watson
2020 Industrial Marketing Management  
market-adaptable and competitive in the present and the future.  ...  To deliver sustainably compelling value to customers, firms should adopt an ecosystem mindset and cooperate with various stakeholders.  ...  available laid the foundation for the modern era of data-driven marketing.  ... 
doi:10.1016/j.indmarman.2020.04.023 fatcat:hi4lzibvmreo7dof4w22hr7zse

Stakeholder marketing: a definition and conceptual framework

G. Tomas M. Hult, Jeannette A. Mena, O. C. Ferrell, Linda Ferrell
2011 AMS Review  
Stakeholder marketing has established foundational support for redefining and broadening the marketing discipline.  ...  In an effort to focus on the stakeholder marketing field of study, we offer both a conceptual framework for understanding the pivotal role of stakeholder marketing and research questions for examining  ...  generation of market intelligence pertaining to current and future customer needs, dissemination of the intelligence across departments, and organizationwide responsiveness to it."  ... 
doi:10.1007/s13162-011-0002-5 fatcat:nzyhiqdxmbfsrc57m72zvoowne
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