"Predictive" Example Sentences
1. The scientist's predictive model accurately forecasted the outcome of the experiment.
2. The new algorithm is highly predictive of consumer behavior.
3. The team's predictive analysis indicated a high risk of market volatility.
4. Studies show that early intervention can have a predictive effect on academic success.
5. The predictive capability of the software impressed the client.
6. The predictive value of the test was called into question by experts in the field.
7. Our predictive model enables us to make reliable weather forecasts.
8. The company's predictive analytics helped identify key areas for improvement.
9. The predictive accuracy of the machine learning algorithm improved with more data.
10. The predictive power of historical data is not always accurate in times of rapid change.
11. The predictive ability of the tool was tested against a set of known results.
12. The predictive model proved to be an essential tool in managing risk.
13. The predictive qualities of the system provided valuable insights into customer behavior.
14. Predictive maintenance can help reduce downtime and improve operational efficiency.
15. The predictive nature of the data allowed us to make informed decisions.
16. The machine learning algorithm's predictive abilities helped uncover patterns and trends in data.
17. The team's predictive analysis revealed some unexpected anomalies in the data.
18. Predictive modeling is a powerful tool for resource optimization.
19. The predictive power of the tool was tested against a set of known results.
20. The predictive analytics enabled us to identify key drivers of customer churn.
21. The predictive nature of the data allowed us to optimize our marketing strategy.
22. The predictive capabilities of the software saved us significant time and resources.
23. The study's predictive model demonstrated a significant correlation between diet and health outcomes.
24. The predictive analysis helped us understand the impact of COVID-19 on the market.
25. Our predictive models helped us predict consumer demand and adjust production accordingly.
26. Predictive analytics can help us identify early warning signs of potential problems.
27. The predictive capabilities of the tool allowed us to mitigate supply chain disruptions.
28. The predictive power of the algorithm enabled us to accurately forecast sales trends.
29. The predictive analysis helped us identify areas of high risk in our investment portfolio.
30. The predictive nature of the algorithm allowed us to make informed predictions about future market conditions.
Common Phases
1.
Predictive maintenance can help avoid unexpected breakdowns;
2.
Predictive analytics can improve business decision-making;
3.
Predictive modeling can forecast future trends;
4.
Predictive algorithms can accurately predict consumer behavior;
5.
Predictive software can anticipate user needs;
6.
Predictive technology can assist in risk management;
7.
Predictive intelligence can identify potential security threats.