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Market Intelligence: Linked Data-driven Entity Resolution for Customer and Competitor Analysis
[chapter]
2013
Lecture Notes in Computer Science
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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
2005
Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining - KDD '05
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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
2019
Digital Policy Regulation and Governance
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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]
2020
arXiv
pre-print
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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
2007
Artificial Intelligence Review
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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]
2010
Knowledge Management
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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]
2017
arXiv
pre-print
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, 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
2021
American Journal of Computer Science and Technology
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, 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
2019
Journal of Autonomous Intelligence
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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]
2022
Zenodo
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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
2006
Industrial Marketing Management
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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
2002
British Food Journal
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, 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
2021
Zenodo
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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
2020
Industrial Marketing Management
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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
2011
AMS Review
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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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