Главная
Study mode:
on
1
Introduction
2
McKinsey Study
3
Storytime
4
What does IoT mean
5
Challenges of IoT
6
Its not Big Data
7
Its not a challenge
8
The business case
9
Operational excellence
10
Complement existing value proposition
11
What is analytics
12
Decision strategy
13
Remote departmental store
14
Business processes
15
Procurement system
16
Reengineering business processes
17
Decision trees
18
How it works
19
Real Quality Probability
20
Monitoring Activity
21
Statistical Sampling
22
Monitoring Events Transaction Performance
23
Automated RealTime Earthquake
24
Data Science and Business Insights
25
Questions
Description:
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"

Open Data Science
Add to list
0:00 / 0:00