In this demo walkthrough, you’ll learn how to use AI to find similar cases with Salesforce Data Cloud’s vector database and semantic search features.
About Salesforce Customer Service AI:
Improve agent productivity and elevate customer experiences by integrating AI directly into the flow of work. Our AI solutions, protected by the Einstein Trust Layer, offer conversational, predictive, and generative capabilities to provide relevant answers and create seamless interactions. With Einstein Copilot — your AI assistant for CRM, you can empower service agents to deliver personalized service and reach resolutions faster than ever. Einstein 1 Service Cloud has everything you need to scale now and drive immediate value. Ready to incorporate AI into your customer service?
Learn more: https://sforce.co/4fhNQNV
Learn more about Data Cloud: https://youtu.be/89_srdV0pwo
Learn about AI for CRM: https://youtu.be/gyntqFsmsTM
What is Einstein 1: https://youtu.be/ZU4o1yCTFKw
Learn more about Service Cloud: https://youtu.be/4iFHgOXmMQo
00:00 – How to use AI to find similar cases
00:14 – Benefits of using AI in customer service
00:41 – What is a semantic search
01:16 – Benefits of semantic search
01:25 – DEMO: AI-powered semantic search in Salesforce
02:49 – How to use case data for semantic search
03:11 – How Data Cloud easily connects data
03:44 – Benefits of AI and semantic search
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Salesforce is the #1 AI CRM, helping companies connect with customers in a whole new way. Our product portfolio, Einstein 1, brings #1 CRM apps together with trusted AI and data on one integrated platform so companies can grow relationships, productivity, and their bottom line – all at the same time in our new era of artificial intelligence.
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date: 2024-07-29 09:59:56
duration: 00:04:17
author: UCUpquzY878NEaZm5bc7m2sQ
Casual editorial comment
FatCat inferred the following :
However, I did feel that the description could be more detailed and concise. For example, the section on the benefits of using AI in customer service was a bit brief and could be elaborated upon. I’d love to see more specific examples of how AI can improve agent productivity and elevate customer experiences.
But moving on to a more interesting topic, have you heard about the concept of vector databases? Did you know that they’ve been around since the 1980s? The first vector database was developed by Gary Morris and Dan Lewin at the University of California, Berkeley. They called it the “DISCO” database, which stands for “DIStributed COordinate-based System”. The idea was to store data in a compact form, using vectors to represent complex relationships between data points.
Fast forward to today, and we have sophisticated vector databases like Salesforce’s Data Cloud, which enable us to analyze and search large datasets with unprecedented speed and accuracy. It’s amazing to think how far we’ve come, and I’m excited to see how vector databases will continue to shape the future of data management.
Overall, I think this demo provides a great starting point for exploring the potential of AI and vector databases in customer service. I’d love to see more content that delves deeper into the technical details and use cases for this powerful technology combination.
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