What We Can Do About Biased AI
Biased artificial intelligence is a real issue. But how does it occur, what are the ramifications -- and what can we do about it?
Seeking an Oasis in a Data Desert
Gaps in data quality, particularly due to supply chain issues during the pandemic, is becoming a serious influence on planning effective machine learning models.
Corporate Diversity Efforts Get Real
Data Science For All offers free education, and mentorship, plus hiring at partner companies like Accenture and Target. Here's what its founders say about diversity today.
How to Enable Data at Operational Speed
Achieving data at operational speed requires a fundamentally different mentality than looking to the past for answers. Here are three steps companies can take.
AI at Your Service
Here's how artificial intelligence in customer service optimizes employee and customer experiences.
5 AI-for-Industry Myths Debunked
Although artificial intelligence has become omnipresent, its uptake in business remains hampered because of gaps in knowledge and awareness.
10 Ways Enterprises Can Use the Edge
Edge computing is very much a work in progress, but there are several interesting use cases at work today and more anticipated for the future. Here's a look at the possibilities.
AI Must Play a Role in Data Cloud Management
The past year has forced businesses to pivot and modernize their technology, including making the move to the cloud and using the flexibility and scalability of artificial intelligence.
How AI Can Save the World, or Not
Lead artificial intelligence advisor to the United Nations, Neil Sahota shares his perspectives on major UN AI projects and the major challenges to AI today.