Pushing AI Into The Mainstream
Artificial intelligence is emerging as the driving force behind many advancements in technology, even though the industry has merely scratched the surface of what may be possible. But how deeply AI penetrates different market segments and technologies, and how quickly it pushes into the mainstream, depend on a variety of issues that still must be resolved. In addition to a plethora of technical issues, there needs to be progress in sanitizing data sets, resolving political, legal and ethical issues, and instilling trust in machines. None of these challenges is insurmountable, but a failure to deal with any of them will could delay the adoption of AI and slow or prevent it from reaching its full potential. Data cleaning AI applications start with large data sets. If the data is bad, the application is bad.
Jan-31-2019, 10:48:53 GMT
- Industry:
- Law (0.87)
- Information Technology (0.69)
- Government (0.69)
- Technology:
- Information Technology
- Data Science > Data Quality (0.68)
- Artificial Intelligence
- Machine Learning (0.70)
- Issues > Social & Ethical Issues (0.69)
- Applied AI (0.69)
- Information Technology