“The best science for business is “consumable science”, i.e., accessible to business decision-makers in an interactive manner."
STERLING, Va. (PRWEB) October 26, 2018
EnterWorks, a leading provider of Master Data Management (MDM) and Product Information Management (PIM), announced Professor Dr. Munther Dahleh has joined their Executive Advisory Board to advise research and development efforts of its Enable© platform in areas such as machine learning and artificial intelligence, accelerating their cloud platform’s own development and integrations to a growing cloud-based ecosystem of advanced, science-oriented web services.
The EnterWorks Agile Data FabricTM (ADF), which is offered this year as part of the company’s latest release of its multi-domain MDM platform, provides a gateway to plug-in the latest scientific tools. It leverages externally developed applications while also focusing the company’s own R&D in areas of highest value to its customers and development priorities.
“A frequent challenge for science is effective value generation, in translating theory in areas such as engineering and artificial intelligence into relevant, accessible information for decision-makers, whether in business or institutions that we serve today - such a challenge is part of our mission at the MIT Institute for data, systems, and society (IDSS),” stated Dr. Munther Dahleh, Director of IDSS. “What is interesting about the multi-domain nature of the EnterWorks platform and its B2B2C network model is that it lays a foundation for better information validation and sharing within and across companies, positioning their clients to improve offer design, i.e., the right product bundle, right customer segment, right channel, at the right time.”
The EnterWorks Content Lifecycle Management solution strategy builds on the B2B2C network approach within and across enterprises, up and down the content value chain, and extends from manufacturer to distributor to retailer or dealer. It is founded on a scientific view that embraces iterative approaches to refining offers, providing effective validation of “content in context” of multiple domains to enable greater precision in enabling offer design, delivery, and continuous improvement.
“The best science for business is “consumable science”, i.e., accessible to business decision-makers in an interactive manner. Having scientists mine Big Data repositories and data lakes for insights is very useful but we want insights to be repeatable for and by business users,” said Rick Chavie, CEO of EnterWorks. “My views on science, our own Combinatorial IntelligenceTM approach, arise directly from my prior collaboration with Dr. Dahleh in areas of artificial intelligence and offer optimization. Also, his leading ideas on a marketplace for insights have great potential for collaboration in leveraging our platform.”
About EnterWorks (http://www.enterworks.com)
EnterWorks® Master Data Management (MDM) and Product Information Management (PIM) solution enables companies to acquire, manage and transform product information into persuasive content that drives higher sales and new competitive strengths through e-commerce Wereb, mobile, print and various electronic channels. Services offered include: Master Data Management, Product Information Management, Dynamic Data Modeling, Workflow & Collaboration, Syndication & Publishing, Digital Asset Management, Geographic Localization, Portal Content Exchange, and Digital Channel Accelerators.
EnterWorks is highly ranked by research analysts, including its Leader status in the 2018 Forrester Product Information Management Wave, and is employed by industry leaders such as: Ariens, Big Rock Sports, CPO Commerce, Creative Converting, Darigold, Fender Musical Instruments, Guthy-Renker, Hearth & Home Technologies, HON Furniture, HP Hood, Interline Brands, Johnstone Supply, Mary Kay, Mercer, Orgill, Publishers Clearing House, Restoration Hardware, US Foods, and W.B. Mason.
About the MIT Institute for Data, Systems, and Society (https://idss.mit.edu/)
Spanning all five schools at MIT, IDSS embraces the collision and synthesis of ideas and methods from analytical disciplines including statistics, data science, information theory and inference, systems and control theory, optimization, economics, human and social behavior, and network science.
The mission of IDSS is to advance education and research in state-of-the-art analytical methods and to apply these methods to address complex societal challenges in a diverse set of areas such as finance, energy systems, urbanization, social networks, and health.
IDSS comprises a number of academic programs, including those offered by the Statistics and Data Science Center (SDSC), two online education programs, and the IDSS research entities Laboratory for Information and Decision Systems (LIDS) and Sociotechnical Systems Research Center (SSRC).