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MetaMind, a startup focused on deep learning, this week announced that it has been acquired by Salesforce.
The company's expertise is in natural language processing -- letting computers analyze relationships between words.
"With MetaMind and Salesforce coming together, we'll be able to offer customers real AI solutions with breakthrough capabilities that further automate and personalize customer support, marketing automation, and many other business processes," MetaMind CEO Richard Socher said.
The acquisition will see MetaMind, whose backers included Salesforce CEO Marc Benioff, embed deep learning within the Salesforce platform.
Socher has been named chief scientist at Salesforce.
MetaMind's system provides a dynamic memory network that offers a way for machines to answer questions about what's said in a piece of text.
The system also can judge the general feeling the words express, identify parts of speech, determine what a pronoun is referring to and translate between languages, according to the company. It performs those tasks using a question-and-answer approach.
MetaMind built a breakthrough AI platform aimed at letting everyone solve important problems, and its core NLP outperforms benchmarks on several tasks, according to Socher.
Its technology matched Google's 2014 entry for the ImageNet large-scale visual recognition challenge using significantly less compute power, he said.
On a sufficiently large data set, MetaMind's platform will tune the user's classifier for very high accuracy, Socher added. The company provided a simple API so developers could embed their classifiers into their apps with a few lines of code.
Many developers using the company's platform have created public classifiers, such as Sentiment (tweets), that other developers can start using at once.
Access for MetaMind's unpaid subscribers was cut off when the deal was announced; paying subscribers will have access discontinued June 4. In both cases, MetaMind will delete subscribers' data after terminating their access.
"All the leaders in CRM are looking to advance their AI and embedded analytics capabilities as differentiators in the last mile of CRM -- greater productivity for users," remarked Rebecca Wettemann, a VP of research at Nucleus Research.
"The arms race in AI is far from over," she told CRM Buyer, "and we shouldn't forget that the grandfather of AI -- IBM with Watson -- is upping its ante in the CRM battle as well."
Meanwhile, Microsoft Dynamics CRM got AI-powered predictive marketing capabilities in March through integration with EverString's platform.
The integration lets marketers analyze and validate their entire addressable market of prospects, then proactively select and target the optimal audience based on data from their Microsoft Dynamics CRM Online package and more than 20,000 external signals.
"The dark-cockpit principles of modern software UI design bring intelligence of the software to bear, which requires machine learning and AI," Wettemann said.
"What MetaMind built makes it easy to address the service use case, but there's much more," noted Ray Wang, principal analyst at Constellation Research.
"The cognitive field is just starting, and companies are looking to take data, context and engagement to the next level by identifying patterns that help make better recommendations, suggest smarter actions, and identify issues before they occur," he told CRM Buyer.
On the other hand, the purchase "has the earmark of an acquisition done to bring promising ideas in-house without necessarily having a clear path to market," suggested Denis Pombriant, principal at Beagle Research.
"As one of the larger companies on the planet, Salesforce is moving into an area where it's going to need to sponsor primary R&D to keep its growth humming." he told CRM Buyer, "and this could be seen as a first step."