TY - JOUR T1 - Data Science as an Innovation Challenge: From Big Data to Value Proposition JF - Technology Innovation Management Review Y1 - 2018 A1 - Victoria Kayser A1 - Bastian Nehrke A1 - Damir Zubovic KW - analytics KW - big data KW - digital innovation KW - idea generation KW - innovation process AB - Analyzing “big data” holds huge potential for generating business value. The ongoing advancement of tools and technology over recent years has created a new ecosystem full of opportunities for data-driven innovation. However, as the amount of available data rises to new heights, so too does complexity. Organizations are challenged to create the right contexts, by shaping interfaces and processes, and by asking the right questions to guide the data analysis. Lifting the innovation potential requires teaming and focus to efficiently assign available resources to the most promising initiatives. With reference to the innovation process, this article will concentrate on establishing a process for analytics projects from first ideas to realization (in most cases: a running application). The question we tackle is: what can the practical discourse on big data and analytics learn from innovation management? The insights presented in this article are built on our practical experiences in working with various clients. We will classify analytics projects as well as discuss common innovation barriers along this process. PB - Talent First Network CY - Ottawa VL - 8 UR - http://timreview.ca/article/1143 IS - 3 U1 - Ernst and Young Victoria Kayser is a Data Scientist in Ernst & Young’s Advisory Organization. Her research is focused on the intersection of analytics and innovation management. Her PhD examined the contribution of text mining to foresight and future planning. She has worked in the fields of innovation research and strategy development as well as in the automotive sector. She holds a Master of Science degree in Information Engineering and Management. U2 - Ernst and Young Bastian Nehrke is a Manager with Ernst and Young’s Advisory in Stuttgart. He specializes in developing organizational analytics capabilities and supports clients in setting up their own analytics hubs and CoEs as well as innovation and data thinking methods. He is a certified Project Manager, Business Analyst, and Requirements Engineer and studied International Management and Innovation and Technology Management in Frankfurt and Heilbronn. U3 - Ernst and Young Damir Zubovic leads Ernst and Young’s Data and Analytics Practices in Germany, Switzerland, and Austria as Partner. With 15 years of professional experience in leading business intelligence, analytics and big data initiatives, he is responsible for business development, specializing in analytics applications in the automotive and life sciences sectors and in consumer and retail products. His extensive experience in the field makes him an experienced mentor who also acts as coach, lecturer, and keynote speaker. ER - TY - JOUR T1 - Editorial: Insights (March 2018) JF - Technology Innovation Management Review Y1 - 2018 A1 - Chris McPhee KW - analytics KW - big data KW - business models KW - closed innovation KW - ecosystems KW - emerging economies KW - innovation KW - internationalization KW - Internet of Things KW - Open innovation KW - technology startups KW - value creation KW - value propositions PB - Talent First Network CY - Ottawa VL - 8 UR - http://timreview.ca/article/1141 IS - 3 U1 - Technology Innovation Management Review Chris McPhee is Editor-in-Chief of the Technology Innovation Management Review. Chris holds an MASc degree in Technology Innovation Management from Carleton University in Ottawa, Canada, and BScH and MSc degrees in Biology from Queen’s University in Kingston, Canada. He has nearly 20 years of management, design, and content-development experience in Canada and Scotland, primarily in the science, health, and education sectors. As an advisor and editor, he helps entrepreneurs, executives, and researchers develop and express their ideas. ER - TY - JOUR T1 - Using Artificial Intelligence and Web Media Data to Evaluate the Growth Potential of Companies in Emerging Industry Sectors JF - Technology Innovation Management Review Y1 - 2017 A1 - Andrew Droll A1 - Shahzad Khan A1 - Ehsanullah Ekhlas A1 - Stoyan Tanev KW - analytics KW - artificial intelligence KW - business intelligence KW - entrepreneurship KW - online textual data KW - precision medicine sector KW - startup growth potential AB - In this article, we describe our efforts to adapt and validate a web search and analytics tool – the Gnowit Cognitive Insight Engine – to evaluate the growth and competitive potential of new technology startups and existing firms in the newly emerging precision medicine sector. The results are based on two different search ontologies and two different samples of firms. The first sample includes established drug companies operating in the precision medicine field and was used to estimate the relationship between the firms’ innovativeness and the extent of online discussions focusing on their potential growth. The second sample includes new technology firms in the same sector. The firms in the second sample were used as test cases to determine whether their growth-related web search scores would relate to the degree of their innovativeness. The second part of the study applied the same methodology to the real-time monitoring of the firms’ competitive actions. In our findings, we see that our methodology reveals a moderate degree of correlation between the Insight Engine’s algorithmically computed relevance scores and independent measures of innovation potential. The existence of such correlations invites future work in attempting to analyze company growth potential using techniques founded in web content scraping, natural language processing, and machine learning. PB - Talent First Network CY - Ottawa VL - 7 UR - http://timreview.ca/article/1082 IS - 6 U1 - Gnowit Inc. Andrew Droll is Lead Data Scientist at Gnowit in Ottawa, Canada. Andrew holds PhD and MSc degrees in pure mathematics from Queen’s University in Kingston, Canada, and he holds a BSc degree in Mathematics and Physics from Carleton University in Ottawa, Canada. His peer-reviewed publications span the fields of physics, mathematics, and computer science. Currently, Andrew works on development and management of Gnowit’s research and engineering projects. U2 - Gnowit Inc. Shahzad Khan is the CTO of Gnowit Inc. in Ottawa, Canada, that provides personalized, real-time web intelligence for individuals and corporations. The firm employs artificial intelligence to automatically gather data from fragmented web sources in near-real-time and filter the data using human-like synthetic cognitive methods to provide highly curated intelligence to their clients. He has a PhD in Computer Science from the University of Cambridge, United Kingdom, an MSc in Information Studies from Syracuse University in New York, USA, and a BSc (Hons) in Computer Science from the Lahore University of Management Science (LUMS) in Lahore, Pakistan. His research interests lie in semantic analysis on big data repositories using natural language processing and machine learning at scale. U3 - University of Southern Denmark Ehsan Ekhlas is a student and entrepreneur completing studies in Technology Entrepreneurship and Business Innovation at the University of Southern Denmark. Ehsan is also Founder & CEO of Mimac IVS, a company focused on fashion accessories for Apple products. In his research, Ehsan uses technological and big data tools to try to discover insights about how people do work in the real world. U4 - Southern Denmark University Stoyan Tanev is an Associate Professor in the Department of Technology and Innovation, Faculty of Engineering, Southern Denmark University (SDU) in Odense. Dr. Tanev is leading the Technology Entrepreneurship stream of the Master Program of Product Development and Innovation at SDU. He is also an Adjunct Research Professor in the Sprott School of Business at Carleton University in Ottawa, Canada, where he is associated with the Technology Innovation Management Program. He has a MSc and a PhD in Physics jointly from the University Pierre and Marie Curie, Paris, France, and the University of Sofia, Bulgaria, a PhD in Theology from the University of Sofia, Bulgaria, an MEng in Technology Innovation Management from Carleton University, Canada, and an MA from the University of Sherbrooke, Canada. He has multidisciplinary research interests with a focus on the fields of global technology entrepreneurship, technology innovation management, business model design, and value co-creation. Dr. Tanev is Senior IEEE member, as well as member of the editorial boards of the Technology Innovation Management Review, the International Journal of Actor-Network Theory, and Technological Innovation. ER - TY - JOUR T1 - TIM Lecture Series – The Business of Cybersecurity JF - Technology Innovation Management Review Y1 - 2014 A1 - David Grau A1 - Charles Kennedy KW - analytics KW - banking KW - cybersecurity KW - hacking KW - incident response KW - information security KW - intelligence KW - targets KW - threats PB - Talent First Network CY - Ottawa VL - 4 UR - http://timreview.ca/article/785 IS - 4 U1 - TD Bank Group David Grau is Vice President and Head of Threat Response, Intelligence, and Defensive Technologies at TD Bank Group. David has more than 20 years of professional information security experience and leads a multi-national team of information security specialists, with a global responsibility for providing TD Bank Group's Security Incident Response, Threat Intelligence, and Defensive Technologies programs. U2 - TD Bank Group Chuck Kennedy is the VP for Credit Card Technology for North American Credit Card for TD Bank Group. He is responsible for technology service delivery, project management, and technology innovation for the credit card businesses for TD. Chuck has been a member of the CIO Association of Canada and has served on the Canadian Banker’s Association’s (CBA), Canadian Financial Institution – Computer Incident Response Team (CFI-CIRT). Chuck holds the CRISC designation (Certified In Risk and Systems Control) and was educated in the United States, Europe, and Canada. He holds a BA in Political Science (Business minor) from the University of Calgary and an MSc in Information Technology (Information Assurance) from the University of Maryland – University College. His graduate work involved the study of geo-spatial intrusion detection and its integration with complex event processing. ER - TY - JOUR T1 - TIM Lecture Series – The Laboratory for Analytic Sciences: Developing the Art and Science of Analysis JF - Technology Innovation Management Review Y1 - 2014 A1 - J. David Harris KW - analysis KW - analytics KW - big data KW - collaboration KW - cybersecurity KW - framework KW - innovation KW - instrumentation KW - monitoring KW - prediction KW - strategy PB - Talent First Network CY - Ottawa VL - 4 UR - http://timreview.ca/article/813 IS - 7 U1 - Laboratory for Analytic Sciences J. David Harris is the inaugural Director of the Laboratory for Analytic Sciences in Raleigh, North Carolina, where the aim is to develop a science of analysis and analytic methodology. During nearly 25 years service with the U. S. Department of Defense, David has worked in a variety of technical and leadership positions in areas of research and development, technology transfer, and operations. ER -