Dear colleagues
We invite you to submit the paper to “Analytics and AI for industry-specific applications” minitrack

http://hicss.hawaii.edu/tracks-52/decision-analytics-mobile-services-and-service-science/#analytics-and-ai-for-industry-specific-applications-minitrack
HICSS conference http://hicss.hawaii.edu/ will be held on January 8-11 at Maui island, Hawaii. The deadline for submitting papers is June 15
The purpose of this minitrack is to invite case studies of applications of data analytics and artificial intelligence based smart services and digital solutions across industries. We are looking for reports that improve our understanding of how analytics and AI are currently used across industries influencing digital transformation of economies. We are interested in getting answers to the question “Where can AI be applied in an industry specific manner (a task with open access data and code) to benchmark and to improve industry standard performance, and grow more opportunities for value creation?” We are also interested in open tech AI applications for Healthcare and Manufacturing as well as other industry specific applications of AI. We will emphasize research on the design, analysis, implementation, adoption, and evaluation of real-life cases that provide opportunities to design, develop, and deploy these capabilities as micro-services that solve customer needs, especially those with startup potential.
We also invite case studies on how to teach these technologies in the classroom and reports of creative ways of integrating industry into these efforts. We also welcome reports on optimal cloud computing environment to support these research and education activities.
We encourage papers that report on lessons learned, on topics which include, but are not limited to, the following:
Data Analytics & AI: How to improve corporate data literacy
Data to Insight and Wisdom: Do universities make the grade?
The emergence of the Chief Analytics Officer and marketplace for specialists
ROI of these information systems (Analytics, AI, Smart Services)
“Big science” and “citizen science” applications of BI, Analytics, Cognitive and Smart Services
Next generation of analytics and AI applications in business & education
Addressing grand challenges with intelligence, analytics, smart services, and cognitive assistants and mediators
Digital transformation with smart services and cognitive assistants
Integration of cloud computing in support of Big Data, Analytics and AI research and teaching, solving storage and networking challenges associated with Big Data, including edge cloud applications and locality of data challenges.
Innovative approaches in data collection and network transportation, especially those incorporating new technologies including IoT, blockchain, etc.

Minitrack Co-Chairs:
Sergey Belov (Primary Contact)
IBM East Europe/Asia
Sergey_Belov@ru.ibm.com
James Spohrer
IBM Almaden Research Center
spohrer@us.ibm.com
Andy Rindos
IBM Emerging Technology Institute
rindos@us.ibm.com