Overview of AI ------ What is AI? - AI is just whatever computational task is hard to achieve right now. If it’s become “off-the-shelf”, it isn’t AI. A cynical view - AI performs “cognitive” tasks AI usecases Chatbots - Provide new interaction route for potential customers Integrate into omnichannel experience - Use to inform or support activity - Letterbox Lab case study Content repackaging - Turn content from one format to another intelligently - Blog -> Video - Video / voice -> Transcription Lumen5.com - Transform blog posts into videos Metadata enrichment - Discover new tags, topics, key points in text to generate stronger metadata to support search inside the site and beyond. Microsoft Text Analytics AI - Using Microsoft Text Analytics we can easily grab information about our content and even recommended links to sources. Social listening - Identify the direct and indirect mentions and conversation opportunities for you to engage with Using RPA tools - There are many social listening paid tools out there but tools like Microsoft Power Automate and Zapier can be used to bootstrap your social listening process by integrating off-the-shelf AI APIs. Hyper-personalization - Use extracted insights from a number of sources to generate content and funnel processes targeted at the individual to improve conversion rates. CrystalKnows.com - Get personality insights based on social and email contents to tailor communication. Implementing AI quickly How do I use AI now? - Address demand - Start small - Gather your data Technologies showcased: - Microsoft Power Automate - Microsoft Cognitive Services - Lumen5 - Crystal - Chatfuel