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Application of AI and Statistical Decision Making for the Business World (ICASBMW-2022)

December 16-17, 2022 (Friday & Saturday)

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About Event
In today’s complicated environment, strategic organisational decision-making is a dynamic process marked by a high degree of uncertainty. It is anticipated that the technological potential of artificial intelligence (AI) will provide additional support, but research in this area is still in its early stages. Nonetheless, because the technology is intended to perform functions beyond those of traditional machines, the implications for the division of work and the defining of roles established in the current human–machine relationship are being explored with more awareness. Taking this into consideration International Conference is scheduled to put more light on the research area-Application of AI and Statistical Decision Making for the Business World

Objective

  • To provide a platform for all the participants to connect and collaborate in further research initiatives.
  • To share and exchange the experience and views of leading Academicians, Corporates, Researchers and Scholars on the theme of the Conference.
  • To share the knowledge and quality research of various participants on recent applications of AI in management practices and Statistical Decision Making.
  • To collect and collate the experiences and views of different participants and derive at an optimized and beneficial outcome of the Conference.

Conference Themes

Application of AI and Statistical Decision Making in the Business World

Major topics include but are not limited to:

  • Applications of Data Science
  • Artificial Intelligence for Business 
  • Big Data
  • Decision making and Automation in Service Industry
  • Business Analytics
  • Business Intelligence
  • Cloud computing
  • Data Analytics
  • Data Visualization
  • Data Mining
  • Data Science
  • Optimization
  • Pattern Recognition
  • Quality control & Reliability
  • Risk Analysis
  • Security Analysis
  • Statistical Modelling
  • Statistics in service and manufacturing industries
  • Computational learning
  • Feature extraction and classification
  • Reinforcement learning
  • Statistical learning
  • Text and multimedia mining through machine learning
  • Machine learning for natural language processing
  • Hybrid learning algorithms
  • Inductive learning
  • Instance-based learning
  • Knowledge discovery in databases
  • Knowledge intensive learning
  • Learning through mobile data mining
  • Machine learning and information retrieval
  • Machine learning for web navigation and mining
  • Multi-strategy learning
  • Neural network learning
  • Knowledge Management and Information System
  • AI based Web systems and services
  • Recommendation Systems
  • Semantic Analysis
  • Sentiment Analysis
  • Industry 4.0 applications
  • Decision Making Theories and practices
  • Computing and Software supporting knowledge-based DM
  • People Analytics
  • AI based brand mapping

Organizing Committee

 

S.No.

Name

Affiliation

1.       

Dr. Akanksha Upadhyaya

RDIAS, Delhi, India

2.       

Ms. Disha Garg

RDIAS, Delhi, India

3.       

Mr. Shubham Gotra

RDIAS, Delhi, India

National Steering & Advisory Committee

S.No.

Name

Affiliation

1.       

Dr. Mangesh Ghonge

Sandip Foundations Sandip Institute of Technology & Research Centre, Nasik, India

2.       

Prof Arpan K Kar

IIT Delhi, India

3.       

Dr. Sailesh Iyer

Rai University, Ahemadabad, Gujarat, India

4.       

Dr. Sumit Narula

Amity University, Gwalior, MP, India

5.       

Dr. Sonali Vyas

UPES, Dehradun, India

6.       

Dr. Iti Burman

VIPS, India

7.       

Dr. Gagandeep Kaur

UPES Dehradun

8.       

Dr. Shaurya Gupta

UPES Dehradun

9.       

Dr. Sameer Saxena

Amity University, Rajasthan

10.   

Dr. Reema Ajmera

JECRC University, Jaipur, India

11.   

Dr. Dinesh

JECRC University, Jaipur, India

12.   

Prof Senthil Kumar A.V.

Hindusthan College of Arts and Science, Coimbatore, India

13.   

Dr. Rik Das

Digitalization and Technology Solutions (Computer Vision Research), Siemens Advanta, Siemens Technology and Services Pvt. Ltd.

14.   

Dr. Saradhamani P

Dr. NGP Institute of Technology, Sri Avinashilingam Deemed University, Tamil Nadu, India

15.   

Dr. Pushpendra Nath

Director Data Science, Publicis Media, Gurgaon, DelhiNCR, India

16.   

Prof. T. Lalitha

Jain Deemed to be University, Bengaluru, India

International Steering &Advisory Committee

S.No.

Name

Affiliation

1.       

Prof. Ugwu Chidiebere

University of Port Harcourt, Nigeria

2.       

Prof. Richard A. Montanaro

Career Discoverys, United States

3.       

Dr. Jennifer Isern

Catalyze Global Impact LLC, Washington, United States

4.       

Dr. Kevin McGourty

Applied Psychology Associates, Arizona, United States

5.       

Dr. Ahmed J. Obaid

Department of Computer Science, Faculty of Computer Science and Mathematiocs, University of Kufa, Najaf, Iraq

6.       

Dr. Nguyen Van Thanh

Head of Logistics and Supply Chain Management, Van Lang University, Vietnam

7.       

Dr. M V Reddy

Nouveau Monde Graphite, Montreal, QC, Canada

8.       

Dr. K M  Anwarul Islam

Department of Business Administration at TMU, Bangladesh

9.       

Dr. Bijay Kumar Kandel

Unicaf University, Peterborough, England, United Kingdom

10.   

Pof. Ezendu Ariwa

Warwick University, England

11.   

Dr. Vinod Kumar Shukla

Amity University, Dubai, UAE

12.   

Dr. Samiya Khan

University of Wolverhampton, UK

13.   

Dr. Milkal Kar

Bursa Uludag University, Turkey

14.   

Prof. Chinwe Peace Igiri

Mountain Top University, Nigeria

15.   

Prof Gurmeet Singh

School of Business and Management, University of South Pacific. Fiji

16.   

Mr. Alok Chaturvedi

ISEEK, Purdue University

17.   

Prof. Amitabh Anand

Excelia Business School, University in La Rochelle, France

18.   

Prof. Ravi Gajendran

Florida International University-College of Business, Florida, US

19.   

Prof. Jason Thatcher

Temple University, Pennsylvania, US

20.   

Prof. Yogesh K. Dwivedi

School of Management, Swansea University, Swansea, Wales, United Kingdom

21.   

Christopher Balding

Fulbright University Vietnam

22.   

Robert Goedegebuure

Swiss School of Management, Limburg, Netherlands

23.   

Prof. Kim Normann Anderson

Copenhagen Business School, University of Copehgaen, Denmark

24.   

Prof Samuel Fosso Wamba

Toulouse Business School, France

Expected Outcome

  • The notions of Artificial Intelligence, Machine Learning as business tools.
  • Role of AI and ML in Understanding and acknowledging the role of AI and ML in various domains of management and managerial decision making.
  • Shared understanding about the challenges that can be addressed and opportunities that can be leveraged for better outcomes in terms of automation in business world.

Certificate of Participation

All participants will be awarded with Certificate of Participation upon completion of the programme.

Registration Fee INR 300 Per Participant

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Rukmini Devi Institute of Advanced Studies 2A & 2B, Phase-1, Madhuban Chowk, Outer Ring Rd, Block D, Sector 14, Rohini, Delhi, 110085