The author suggests that businesses should invest in rich data collection and the necessary instrumentation to collect valuable data. They also need to understand the implications of the rapid generation and large quantities of time series data. The article concludes by stating that the true power of AI lies in automating highly intelligent systems, and as AI capabilities continue to evolve, the automation landscape will grow exponentially, transforming industries and unlocking new possibilities for the future.
Key takeaways:
- Time series data plays a significant role in building and training the models that power AI and machine learning functions such as data analysis and designing process automation.
- Common challenges in AI include poor or biased data, growing cybersecurity risks, and choosing the right database.
- Time series data is the foundation for understanding system behavior and is crucial for AI's ability to predict outcomes based on historical patterns and similar conditions.
- As AI capabilities continue to evolve, the automation landscape will grow exponentially, transforming industries and unlocking new possibilities for the future.