Data Science and Online Communities with Will Roberts
Aug 27, 2020
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Will Roberts, data scientist at IBM, discusses the implications of data science and AI for online communities. They talk about definitions and distinctions between AI and machine learning, using community data for machine learning models, risks and concerns in online communities, and partnership between community team and data science function in organizations.
Online community leaders should prioritize incorporating AI into their strategies.
AI is being applied to improve customer experience through chatbots, predictive services, tailored content, and graph analysis.
Deep dives
The Importance of AI in Online Communities
Based on recent research, it is evident that online community leaders are not prioritizing AI compared to their peers in marketing and support. Will Roberts, a data scientist from IBM, shares his knowledge and offers advice on how community leaders can incorporate AI into their strategies.
Defining AI and Its Relation to Machine Learning
Machine learning is a set of capabilities that require historical data to build predictive models. Artificial intelligence (AI), on the other hand, involves the broad application of these machine learning models. An AI system encompasses multiple predictive capabilities, rather than just a single function like a chatbot.
Examples of AI in Customer Experience
AI is being applied to improve customer experience in various ways. Chatbots are commonly used to provide support by pointing users to relevant articles or solutions. Additionally, predictive services help customer support representatives interact with clients, allowing for proactive interaction and resolution. Other applications include using machine learning models to tailor content based on community interests and utilizing graph analysis to identify key contributors and strengthen connections within the community.
In this episode of the Cohere podcast, I speak with Will Roberts, a data scientist at IBM, about the implications of data science and AI for online communities. Will and I talk through: A definition of AI / ML How machine learning is being applied in the enterprise More specifically, how ML & AI are / might be applied to customer experience generally, and community experiences specifically How we might use community data for models (and analytics) What the key opportunities and risks are for leveraging ML Will's advice on how the community team might approach and partner with a data scientist in their organization This episode is a complimentary conversation to our ongoing research at Structure3C. You can find Will online: Last, but not least, more info about the awesome Ian Banks Culture series Will mentions: (overview on Wikipedia) (Open Library)
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