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**Step 1: Create SQL Database** | |
**Requirements:** | |
* SQL Server Management Studio (SSMS) | |
* SQL Server Database Engine | |
**Instructions:** | |
1. Create a new SQL Server database named "AI_LLM_Impact". | |
2. Design the database schema with relevant tables, columns, and relationships. | |
3. Populate the tables with historical data from the past 3 years, including: | |
* **AI & LLM Market Impact:** Market size, growth rate, adoption rate, key trends, and impact on different industries. | |
* **Business Productivity:** Productivity gains, cost savings, and improved decision-making. | |
* **Job Opportunities:** New job creation, skill requirements, and impact on labor markets. | |
**Step 2: Create Queries File** | |
**File Name:** AI_LLM_Impact_Queries.txt | |
**Queries:** | |
**1. Top 5 Industries Affected by AI & LLM:** | |
```sql | |
SELECT industry, SUM(market_size) AS total_market_size | |
FROM ai_llm_impact | |
GROUP BY industry | |
ORDER BY total_market_size DESC | |
LIMIT 5; | |
``` | |
**2. Growth Rate of AI & LLM Market:** | |
```sql | |
SELECT year, growth_rate | |
FROM ai_llm_impact | |
GROUP BY year; | |
``` | |
**3. Adoption Rate of AI & LLM Technologies:** | |
```sql | |
SELECT technology, adoption_rate | |
FROM ai_llm_impact | |
GROUP BY technology; | |
``` | |
**4. Impact of AI & LLM on Business Productivity:** | |
```sql | |
SELECT metric, impact | |
FROM business_productivity | |
GROUP BY metric; | |
``` | |
**5. Cost Savings Achieved Through AI & LLM:** | |
```sql | |
SELECT cost_savings | |
FROM business_productivity | |
GROUP BY cost_savings; | |
``` | |
**6. Improved Decision-Making Through AI & LLM:** | |
```sql | |
SELECT decision_making_improvement | |
FROM business_productivity | |
GROUP BY decision_making_improvement; | |
``` | |
**7. New Job Creation Due to AI & LLM:** | |
```sql | |
SELECT job_type, new_jobs | |
FROM job_opportunities | |
GROUP BY job_type; | |
``` | |
**8. Skill Requirements for AI & LLM Jobs:** | |
```sql | |
SELECT skill, required_skills | |
FROM job_opportunities | |
GROUP BY skill; | |
``` | |
**9. Impact of AI & LLM on Labor Markets:** | |
```sql | |
SELECT industry, job_displacement | |
FROM job_opportunities | |
GROUP BY industry; | |
``` | |
**10. Future Outlook of AI & LLM:** | |
```sql | |
SELECT year, forecast_market_size | |
FROM ai_llm_impact_forecast | |
GROUP BY year; | |
``` | |
**11. Emerging AI & LLM Technologies:** | |
```sql | |
SELECT technology, description | |
FROM ai_llm_technologies | |
GROUP BY technology; | |
``` | |
**12. Best Practices for AI & LLM Adoption:** | |
```sql | |
SELECT best_practice, impact | |
FROM ai_llm_best_practices | |
GROUP BY best_practice; | |
``` | |
**13. Case Studies of AI & LLM Success:** | |
```sql | |
SELECT company_name, industry, benefits | |
FROM ai_llm_case_studies | |
GROUP BY company_name; | |
``` | |
**14. Industry Leaders in AI & LLM:** | |
```sql | |
SELECT company_name, industry, market_share | |
FROM ai_llm_industry_leaders | |
GROUP BY company_name; | |
``` | |
**15. Emerging Trends in AI & LLM:** | |
```sql | |
SELECT trend, description | |
FROM ai_llm_trends | |
GROUP BY trend; | |
``` | |
**Note:** This is just a sample file of queries. You can customize the queries based on your specific needs and data structure. |