While generative AI is widely accessible and useful, businesses need to know when to use other AI tools, like traditional machine learning.
A new approach analyzed resumes for a Fortune 500 firm — and bested traditional screening practices.
Machine learning tools only work if people use and trust them. To achieve this, developers and end users should have a back-and-forth conversation.
COVID-19 hasn’t slowed proptech in its quest to remake real estate through big data, artificial intelligence, platforms, and virtual reality.
MIT experts explain how generative AI — and AI generally — could transform enterprises this year, as well as how to set realistic environmental goals.
AI really can pay off. But leaders must take a systematic approach, understand how the technology works, and let their team leaders determine how it’s used.
Value creation is the true measure of successful AI implementation. It starts at proof of concept and considers AI’s impact on an industry, not just a company.
Fighting misinformation, understanding powerful algorithms, and mitigating harms are top concerns for social media experts.
Researchers analyzed 110 million YouTube comments. Their recommendation: Use algorithms to hide toxic speech, then follow up with human review.
Xbox CFO Tim Stuart explains what other industries can learn from the booming gaming industry.
