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5 Marketing Automation Tools That Leverage Data Science to Boost ROI


Return on Investment (ROI) is defined as the ratio of a return (benefit or net profit) over the investment of resources that generated this return. Both the return and the investment are typically expressed in monetary units, whereas the ROI is calculated as a percentage. It's typically expressed as a percentage, so multiply your results by 100. Data Science is essential in helping a business to continue to compete in the global market. To stay competitive, businesses will need to continue to find unique ways to collect data and analyze it to come up with strategies to increase their sales.

Dreamforce 2016: Salesforce stakes claim for baked in artificial intelligence


Cloud-delivered customer relationship management (CRM) company Salesforce inaugurated its Dreamforce conference in San Francisco by staking a claim for artificial intelligence (AI) baked into business applications. This email address is already registered. By submitting my Email address I confirm that I have read and accepted the Terms of Use and Declaration of Consent. By submitting your email address, you agree to receive emails regarding relevant topic offers from TechTarget and its partners. You can withdraw your consent at any time.

Salesforce's Einstein gets glowing reviews from Pacific Crest, Coca Cola and Amazon


Salesforce (CRM) held a small group meeting of less than 60 people at its headquarters in San Francisco last week where it announced that Einstein AI is now available to all its customers across sales, service, marketing, commerce and more, even going so far as to title the presentation, "The Year of Einstein." Salesforce also announced a strategic partnership with IBM to combine the power of Einstein and IBM's Watson to provide more insightful analytics for businesses. Salesforce clearly has big ambitions for Einstein AI. As the company says on its website, "Einstein is like having your own data scientist to guide you through your day." Einstein is a product of about $600 million in acquisitions and three years of internal development.

Salesforce Announces Einstein – Creates New Race for Predictive Software Aragon Research


On Monday September 19th, Salesforce announced Salesforce Einstein, a full Artificial Intelligence (AI) Platform that includes what appears to be both Machine and Deep Learning Capabilities. They also announced a new Research Unit focused on AI. This blog is about the Salesforce Einstein Announcement and the profound implications for enterprises and vendors alike. The biggest thing about Einstein is that Salesforce is showing working prototypes. Salesforce provided a preview demonstration of Predictive Lead Scoring and it looked solid.

Salesforce steps up its push to make everyone an app developer


Salesforce App Cloud Mobile aims to let business users create apps without writing any code. Salesforce has already rolled out several tools that aim to let business users create their own mobile apps, and on Tuesday it unified them into a suite and added some new services on the back end. The new App Cloud Mobile suite includes Salesforce's Lightning app creation tools, which require little to no coding and are supposed to make it easy enough for everyday business people to create their own iPhone and Android applications. It also includes the development services of Force and Heroku, and the ability to bring Wave Analytics and Lightning Snap-ins to any mobile app. The new back-end functionality includes services for security, data integration and scalability -- the complex parts of development that often derail or delay a new app.