Explore the challenges and opportunities of IoT value proposition in this conference talk by Nauman Sheikh at BDF 2015. Delve into the complexities of autonomous decision-making driven by IoT and analytics, focusing on the need to revamp existing business ecosystems. Learn about analyzing and assessing these challenges, developing evolutionary roadmaps for mitigation, and ensuring successful IoT initiatives. Gain insights into the importance of business processes, operational accountability, and value proposition in the context of IoT adoption. Discover how to complement existing value propositions, reengineer business processes, and implement decision strategies for remote operations. Examine real-world examples and statistical approaches to monitoring activities and transaction performance in IoT environments. Understand the intersection of data science and business insights in the evolving landscape of IoT and analytics.
Challenges of IoT Value Proposition - "It's Not Big Data"
Overview
Syllabus
Introduction
McKinsey Study
Storytime
What does IoT mean
Challenges of IoT
Its not Big Data
Its not a challenge
The business case
Operational excellence
Complement existing value proposition
What is analytics
Decision strategy
Remote departmental store
Business processes
Procurement system
Reengineering business processes
Decision trees
How it works
Real Quality Probability
Monitoring Activity
Statistical Sampling
Monitoring Events Transaction Performance
Automated RealTime Earthquake
Data Science and Business Insights
Questions
Taught by
Open Data Science
