This conference focuses on advancing from descriptive and predictive analytics to prescriptive analytics, empowering organizations to optimize operational resilience. It explores how prescriptive models leverage real-time data, algorithms, and scenario simulations to recommend actionable decisions that mitigate risks, enhance agility, and improve resource allocation. Key sectors include supply chain, manufacturing, finance, and customer engagement, showcasing how prescriptive analytics drives proactive, data-driven operations.
Structure and Sessions (Who Does What):
Organizing Committee: Designs the agenda, manages speaker invitations, and coordinates virtual event logistics.
Keynote Speakers: Industry experts and academics delivering forward-looking insights on prescriptive analytics applications.
Presenters: Practitioners, data scientists, and researchers share case studies, frameworks, and toolkits.
Participants: Engage actively in workshops, panels, and networking opportunities.
Technical Review Committee: Reviews submitted abstracts and papers for quality and relevance.
Participate and Contribute (Who Benefits):
Data Analysts and Data Scientists: Gain practical knowledge on implementing prescriptive analytics solutions.
Operations and Supply Chain Managers: Learn to apply prescriptive models for resilience and efficiency.
Business Strategists and Risk Managers: Understand how to leverage analytics for proactive decision-making.
Academics and Researchers: Present and publish cutting-edge research in prescriptive analytics.
Technology Developers and Consultants: Showcase tools and discuss implementation challenges.
Benefits:
Certificate of Participation awarded upon event feedback submission.
Commemorative momento recognizing active contributions.
Abstracts and selected papers published in indexed journals such as Scopus, CrossRef, Web of Science (WoS), Elsevier, and SCI.
Abstract Topics / Call for Papers (CFP) Tracks:
Prescriptive Analytics in Supply Chain Optimization
Scenario Planning and Stress Testing for Operational Resilience
Real-Time Decision-Making Models and Algorithms
Inventory and Resource Allocation Optimization
Risk Mitigation through Prescriptive Analytics
Case Studies across Manufacturing, Finance, and Retail
AI and Machine Learning in Prescriptive Analytics
Measuring Impact and ROI of Prescriptive Solutions
Tools and Platforms for Scalable Prescriptive Analytics
Future Trends and Innovations in Operational Analytics
Registration:
Online registration open to analysts, managers, researchers, and technologists.
Submission guidelines and deadlines provided for abstracts and papers.
Access to live sessions, recordings, conference materials, certification, and publication options.
Detailed Program Grid (2 Half Days, 9 AM to 1 PM)
Time
Day 1
Day 2
09:00 – 09:15
Opening Ceremony & Welcome Address
Recap of Day 1 & Opening Keynote
09:15 – 10:00
Keynote Session I: Introduction to Prescriptive Analytics
Keynote Session III: Prescriptive Models in Practice
10:00 – 10:45
Technical Session I: Supply Chain and Operational Use Cases
Technical Session III: Risk Management and Scenario Planning
10:45 – 11:00
Q&A and Networking Break
Q&A and Networking Break
11:00 – 11:45
Technical Session II: Data-Driven Decision Support
Panel Discussion: Evaluating ROI and Impact of Prescriptive Analytics
11:45 – 12:30
Abstract Presentations and Case Studies
Technical Session IV: Technology Trends and Future Directions
12:30 – 13:00
Participant Feedback and Closing Remarks
Closing Ceremony & Certificate Distribution
This conference offers actionable insights and pioneering research on prescriptive analytics to enhance operational resilience, complemented by certification and academic publishing opportunities.
