CRM

A Domain Specific Language for Automated RNN Architecture Search

When humans generate novel neural architectures, they go through a surprisingly large amount of trial and error. This holds true almost regardless of how much experience in deep learning that person might have! In an optimal world, the neural networks themselves would explore potential architectures and improve themselves over time. Without human intuition and insights […]

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How to Build Ethics into AI - Part IIResearch-based recommendations to keep humanity in AI

Published: April 2, 2018 This is part two of a two-part series about how to build ethics into AI. Part I focused on cultivating an ethical culture in your company and team, as well as being transparent within your company and externally. In this article, I will focus on mechanisms for removing exclusion from your

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How to Build Ethics into AI - Part IResearch-based recommendations to keep humanity in AI

Published: March 27, 2018 This is part one of a two-part series about how to build ethics into AI. Part one focuses on cultivating an ethical culture in your company and team, as well as being transparent within your company and externally. Part two focuses on mechanisms for removing exclusion from your data and algorithms.

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The Natural Language Decathlon

Introduction Deep learning has significantly improved state-of-the-art performance for natural language processing tasks like machine translation, summarization, question answering, and text classification. Each of these tasks is typically studied with a specific metric, and performance is often measured on a set of standard benchmark datasets. This has led to the development of architectures designed specifically

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How to Power Customer Experiences with AI and Sub-Second Real-Time Data Sync

Delivering an exceptional customer experience hinges on unifying interactions across every touchpoint. Yet, many brands struggle with fragmented data spread across systems, channels, and clouds. Salesforce Data Cloud solves this challenge by ensuring a consistent customer data sync across all platforms. This allows brands to deliver personalized experiences in real time, no matter how or

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Want the Most of AI? Start By Consolidating Your Tech Stack

Are disconnected tools and scattered data making it hard to close deals, maintain a clear view of your customers, and effectively leverage AI? The solution is tech consolidation. By focusing on an integrated, AI-powered CRM, your company can unlock powerful insights, reduce redundancies, and increase productivity.  Here’s how to get started: Build a solid foundation

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Why Salesforce Admins Should Listen to Podcasts

Your role as a Salesforce Admin demands more than just technical know-how—it requires creativity, problem-solving, and the ability to think beyond the basics. While there are plenty of resources available that teach you the “how” of Salesforce, from documentation to step-by-step tutorials, there’s something invaluable about understanding the “why.”  Podcasts, often overlooked as a learning

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Developing reliable LLM-powered insight summarization for Tableau Pulse

Tl;Dr: Salesforce AI Research and Tableau AI collaborated to build the Pulse insight summary feature, GA for all Tableau Cloud customers starting in early 2024. The feature combines the power of generative AI with data analytics to deliver automated & personalized insight summaries from key metric trends. This blog outlines the development process for this

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