- Product and business leader with 20 years of experience in Artificial Intelligence, Mobile,Commerce & Advertising, Enterprise Software- Skilled at using customer, market and research insights to commercialize Artificial Intelligencetechnology- Strong track record in leading cross-functional teams to develop innovative products from conceptthrough launch, resulting in significant (hundreds millions of users and multi billion revenue) impact- Superb communication skills with focus on messaging clarity, conciseness, impactView the profile
Lead development of technical vision and operational strategy.View the profile
Rachel Payne started FEM inc. when she realized that there was an enormous opportunity in entertainment for innovation. In her prior role as Principal, Global Strategic Alliances at Google, she worked with top executives across the company to develop comprehensive strategies for their largest global media partners, including Sony, Disney, NewsCorp and Time Warner. It was in this capacity that she was able to identify a unique opportunity to serve and meet a broader set of user needs for entertainment that no one else was really considering or prioritizing.Prior to this, she was President and Co-Founder of inDplay, a cloud-based rights and contract management service for studios that enabled rights licensing globally. inDplay was acquired in 2008 by Discovery Media Holding Company.View the profile
About the talk
Titan Panel: What's next in Convo AI? Big trends in AI/ML such as explainability, fairness, security, & automation and their effect on Conversational AI/ Virtual Agents
Conversational AI has become one of the most important applications for enterprises today. The world of language-based AI is constantly evolving and as businesses around the world look to leverage these technologies to enhance their customer experience, we look at some of the big trends that are emerging such as vast improvements in machine-understanding, ensuring that the output of the algorithm is explainable and fair; ensuring that the conversations that customers are having with the AI assistant are secure and private; allowing oversight of the content that the agent is sharing, and training these agents with automation while ensuring a high degree of accuracy.
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