CATEGORY: general

  • Machine Learning in Customer Service – Rise of the Chatbots

    November 17, 2017 | Author Girish Reddy

    A chatbot is a computer program you can talk to through messaging apps or a website.  You can interact with them by typing text or talking to them.  Most consumers are familiar with the populate chatbots like Google Assistant or Siri.  In this article, we will discuss how similar chatbots… [Read More.]

  • Case classification using Einstein Intent API

    November 15, 2017 | Author Prabhu Palanisamy

    This is a quick 30 min tutorial to showcase Einstein Intent API. At the end of this exercise, you will have a good understanding of Intent API usage and its integration to Salesforce use cases. Usecase Using Intent API we will classify cases based on the description. You can use… [Read More.]

  • Dreamforce 2017 Recap

    November 14, 2017 | Author Charles Landry

      When we started SpringML, we knew it was vital to our growth that we develop strong relationships with leading cloud vendors. It was also clear who the first companies we should partner with would be: Salesforce - The launch of Salesforce Analytics required a new generation of partners to… [Read More.]

  • Machine Learning in Customer Service

    November 6, 2017 | Author Girish Reddy

    Machine Learning is going to play a big part in customer service.  This is going to bring benefits to both consumers as well as support providers.  Consumers will benefit from faster and better support while organizations will be able to leverage data and technology to streamline their operations providing better… [Read More.]

  • Case Study: Semiconductor Manufacturing.

    October 30, 2017 | Author Prabhu Palanisamy

    Welcome to my blog series on examining how machine learning (ML) can supplement the analytical capabilities of humans in various vertical applications. For this post, we’ll be examining how ML can benefit manufacturing, and what better use case to look at than the most advanced manufacturing environment in the world,… [Read More.]

  • Dynamic Pricing – ML based approach.

    October 26, 2017 | Author Prabhu Palanisamy

    My blog series examining different use cases for machine learning (ML) generated quite a bit of interest, so we’ve decided to expand its scope beyond a simple three-part series and make it an ongoing section of the blog. For our next use case, let’s look at how ML can help… [Read More.]

  • Automating FDA adverse event reporting

    October 23, 2017 | Author Girish Reddy

    Medical Device manufacturers in the US need to comply with reporting requirements outlined by the US Food and Drug Administration (FDA) and submit adverse events electronically to the FDA for review. Failure to do comply could lead to financial penalties or even criminal sentences. An adverse event can refer to… [Read More.]

  • Early warning indicator for sales

    October 18, 2017 | Author Girish Reddy

    This is one dashboard we are all familiar with. The minute an indicator lights up in our car’s dashboard we know there’s something that needs attention. In fact most of us rely on these indicators so much that any maintenance action is initiated based only on its feedback. As a… [Read More.]

  • Case Study: Legal. Supplementing Human Judgement with Machine Learning

    October 13, 2017 | Author Prabhu Palanisamy

    In the first post of this three-part series, I examined how machine learning (ML) can supplement the data analysis capabilities of humans by leveraging a computer’s ability to rapidly analyze, sort and curate massive amounts of data. As a real-world example of this hybrid human/machine model, I used the advertising… [Read More.]

  • Your data is telling a story – are you listening?

    October 9, 2017 | Author Girish Reddy

    Though data in Salesforce is mostly structured it can be subject to inconsistencies. These inconsistencies arise due to various reasons - behaviour of users, integrations from other systems, data migration from older CRM’s, organizational changes such as mergers and acquisitions, etc. With time Salesforce orgs accumulate a ton of data… [Read More.]