ai-commercial-decisionmaking
AI-Driven Large Dataset Analysis & Commercial Decision-Making: Research on predictive analytics, machine learning strategies, and real-world business applications [Python, TensorFlow, PyTorch] 🤖📊
Science Score: 54.0%
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Low similarity (9.0%) to scientific vocabulary
Keywords
Repository
AI-Driven Large Dataset Analysis & Commercial Decision-Making: Research on predictive analytics, machine learning strategies, and real-world business applications [Python, TensorFlow, PyTorch] 🤖📊
Basic Info
- Host: GitHub
- Owner: rikulauttia
- License: mit
- Default Branch: main
- Homepage: https://www.linkedin.com/in/rikulauttia/
- Size: 673 KB
Statistics
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
AI-Powered Commercial Decision-Making Through Large Dataset Analysis 🚀
Transforming business intelligence through artificial intelligence and machine learning
🎯 Executive Summary
Groundbreaking research on how artificial intelligence transforms commercial decision-making through advanced large dataset analysis. This bachelor's thesis explores cutting-edge AI applications in business intelligence, predictive analytics, and automated decision systems.
🌟 Key Highlights
- Advanced AI algorithms for business decision optimization
- Large-scale data processing frameworks
- Real-world commercial applications
- Ethical considerations in AI implementation
📚 Available in Two Languages
English Version
Finnish Version
Tekoälyn rooli suurten datamassojen analysoinnissa ja sen hyödyntäminen kaupalliseen päätöksentekoon
🔬 Research Focus Areas
1. AI & Machine Learning in Business
- Deep learning applications in commercial contexts
- Neural networks for pattern recognition
- Predictive modeling and forecasting
- Business process automation
2. Big Data Analytics
- Large-scale data processing frameworks
- Real-time analytics systems
- Data mining techniques
- Scalable architecture design
3. Commercial Applications
- Business intelligence optimization
- Decision support systems
- Risk management frameworks
- Market analysis automation
💡 Key Findings & Impact
This research delivers groundbreaking insights into:
- AI-driven decision optimization strategies
- Scalable data processing frameworks
- Real-world implementation guidelines
- Future trends in business intelligence
📂 Repository Structure
AI-Commercial-DecisionMaking/
├── CITATION.cff # Citation information
├── LICENSE # MIT License
├── README.md # This documentation
├── The Role of Artificial Intelligence in Analyzing Large Datasets and Its Utilization in Commercial Decision-Making.docx
├── The Role of Artificial Intelligence in Analyzing Large Datasets and Its Utilization in Commercial Decision-Making.pdf
├── Tekoälyn rooli suurten datamassojen analysoinnissa ja sen hyödyntäminen kaupalliseen päätöksentekoon.docx
└── Tekoälyn rooli suurten datamassojen analysoinnissa ja sen hyödyntäminen kaupalliseen päätöksentekoon.pdf
📚 Academic Citation
For academic references, please use:
bibtex
@thesis{Lauttia2025,
author = {Lauttia, Riku},
title = {The Role of Artificial Intelligence in Analyzing Large Datasets
and Its Utilization in Commercial Decision-Making},
school = {University of Turku},
year = {2025},
type = {Bachelor's Thesis},
keywords = {artificial intelligence, machine learning, business intelligence,
commercial decision-making, big data analytics}
}
🤝 Contribute & Collaborate
While this represents academic research, I welcome:
- Industry insights and practical applications
- Implementation examples and case studies
- Related research references
- Discussion through Issues
🌐 Connect & Network
⚖️ License
This research is shared under the MIT License - see LICENSE for details.
Keywords
artificial intelligence, machine learning, business intelligence, commercial decision-making, big data analytics, predictive analytics, neural networks, data science, business automation, decision support systems
⭐️ Support This Research: If you find value in this work, please consider starring the repository and sharing it with your network!
Owner
- Name: Riku Lauttia
- Login: rikulauttia
- Kind: user
- Repositories: 1
- Profile: https://github.com/rikulauttia
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this research, please cite it as below."
authors:
- family-names: "Lauttia"
given-names: "Riku"
title: "The Role of Artificial Intelligence in Analyzing Large Datasets and Its Utilization in Commercial Decision-Making"
type: thesis
date-released: 2025-02-14
url: "https://github.com/rikulauttia/AI-Commercial-DecisionMaking"
abstract: "This bachelor's thesis explores the transformative role of Artificial Intelligence in analyzing large datasets and its practical applications in commercial decision-making. The research investigates how AI-driven insights are revolutionizing business strategy and operational efficiency through comprehensive analysis and real-world applications."
keywords:
- "artificial intelligence"
- "machine learning"
- "big data"
- "commercial decision-making"
- "business intelligence"
- "data analysis"
version: "1.0.0"
license: MIT
repository-code: "https://github.com/rikulauttia/AI-Commercial-DecisionMaking"
institution:
name: "University of Turku"
address: "20014 Turun yliopisto"
city: "Turku"
country: FI
preferred-citation:
type: thesis
authors:
- family-names: "Lauttia"
given-names: "Riku"
title: "The Role of Artificial Intelligence in Analyzing Large Datasets and Its Utilization in Commercial Decision-Making"
year: 2025
institution:
name: "University of Turku"
country: FI
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