Salesforce Einstein and Enterprise AI
May 5, 2017
One customer-relationship-management (CRM) firm is determined to leverage the power of natural language processing within its clients’ organizations. VentureBeat examines “What Salesforce Einstein Teaches Us About Enterprise AI.” The company positions its AI tool as a layer within its “Clouds” that brings the AI magic to CRM. They vow that the some-odd 150,000 existing Salesforce customers can deploy Einstein quickly and easily.
Salesforce has invested much in the project, having snapped up RelatelQ for $390 million, BeyondCore for $110 million, Predicition IO for $58 million, and MetaMind for an undisclosed sum. Competition is fierce in this area, but the company is very pleased with the results so far. Writer Mariya Yao cites Salesforce chief scientist Richard Socher as she examines:
The Salesforce AI Research team is innovating on a ‘joint many-task’ learning approach that leverages transfer learning, where a neural network applies knowledge of one domain to other domains. In theory, understanding linguistic morphology should also accelerate understanding of semantics and syntax.
In practice, Socher and his deep learning research team have been able to achieve state-of-the-art results on academic benchmark tests for main entity recognition (identifying key objects, locations, and persons) and semantic similarity (identifying words and phrases that are synonyms). Their approach can solve five NLP tasks — chunking, dependency parsing, semantic relatedness, textual entailment, and part of speech tagging — and also builds in a character model to handle incomplete, misspelled, or unknown words.
Socher believes that AI researchers will achieve transfer learning capabilities in more comprehensive ways in 2017 and that speech recognition will be embedded in many more aspects of our lives. ‘Right now, consumers are used to asking Siri about the weather tomorrow, but we want to enable people to ask natural questions about their own unique data.’
That would indeed be helpful. The article goes on to discuss the potentials for NLP in the enterprise and emphasizes the great challenge of implementing solutions into a company’s workflow. See the article for more discussion. Based in San Francisco, Salesforce was launched in 1999 by a former Oracle executive.
Cynthia Murrell, May 5, 2017
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