SpringML

Building Successful AI/ML Teams

Welcome back to another episode in SpringML’s Podcast Vision 2020. Today, we are continuing our conversation with SpringML’s Chief Technology Officer and  co-founder Girish Reddy.  In this episode, Girish shares his perspective around building development teams for AI ML and advanced analytic use cases. Episode Transcript Good morning, Girish delighted to take this time to discuss …

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Girish Reddy

SpringML in 2020

Welcome to another episode in SpringML’s Podcast Vision 2020. Today’s episode features an interview with SpringML’s Chief Technology Officer and  Co-Founder Girish Reddy.  He shares his perspective on analytics and AI ML in 2020. Episode Transcript Girish, great to have you on today just ask a few questions about 20/20 analytics and AI ml this year …

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Girish Reddy

Employee Highlight: Sai Hima

At SpringML we are a team of passionate quants and poets who geek out over data and get excited to solve tough problems. Our team is amazing! Meet Sai Hima, Data Engineer.

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Building Einstein Bot for Healthcare Use cases

In this recorded webinar, we cover the Healthcare use cases that are a good fit for Einstein Bots, design architecture for conversational interfaces and best practices. We also detail technical design elements that enterprise leaders should consider when defining their strategy and roadmap for Einstein Bots deployment.

Employee Highlight: Piyush Malik

At SpringML we are a team of passionate quants and poets who geek out over data and get excited to solve tough problems. Our team is amazing! Meet Piyush Malik, Senior Vice President.

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SpringML Achieves Marketing Analytics Partner Specialization in the Google Cloud Partner Program

Pleasanton, Calif. -- November 18, 2019 SpringML Inc. ("SpringML"), a leader in machine learning and advanced data analytics services, is delighted to announce that it achieved Specialization Status in Marketing Analytics as part of Google Cloud's Partner Specialization Program. SpringML specializes in delivering Customer & Audience Segmentation Models, Micro-Targeting and Personalization Capabilities, Demand Forecasting, Next Best …

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