Episode 13 - Applied Artificial Intelligence with @thinkmariya
Today I talk to Mariya Yao about AI and Machine Learning as applied to a variety of business problems and across industries.
- What are some of the misconceptions around AI?
- If I have an AI product, how can I talk about it to business leaders? How do I sell it externally? How does it become a business?
- Where are various industries on this?
- And what are some of the pre-requisites for AI; I’m talking about data collection, and organizational issues.
Mariya Yao's Bio:
Mariya is the Chief Technology and Product Officer at Metamaven, a company that builds machine learning solutions to drive business growth. As an AI designer, Mariya helps executives gain mastery over technical concepts and effectively leverage machine intelligence to transform businesses and society. She’s also passionate about promoting diversity and inclusion in STEM education and careers. Mariya speaks internationally at conferences like CES and SxSW, writes for Forbes about the interplay of human and machine intelligence, and is Editor-In-Chief of TOPBOTS, the largest publication and community for enterprise AI professionals.
Articles from TOPBOTS relevant to our discussion:
What is AI? Part 2. Common Misconceptions.
Best practices and pre-requisites for machine learning
AI used in Banks
Dealing with AI Hype, Marketing AI, b2b marketing
Automating customer Service Whitepaper
More on automating customer service:
Successful CX automation necessarily entails a human-in-the-loop solution which a bot escalates to when needed.
Third party venders and the enterprise AI landscape