SpringML’s Google Podcast

Smart Government Series – Freeing Siloed Data: The Art of MOUs

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Governments can uncover very useful insights when data is shared across agencies. But this can be a difficult task. Hint: The challenge isn’t the tech. In this episode, we unpack some common data-sharing challenges and remedies. We also share two inspiring examples of how data sharing has improved government services. Example 1: Virginia Vaccine Management and …

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Smart Government Series – The Power of Machine Learning for Public Works

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In this first episode of our Smart Government podcast series, we talk to Andrew Larimer, Practice Manager at SpringML. Andrew explains how some of the Vision AI use cases like pothole detection, combating urban blight, etc. help governments improve the quality of life for their citizens. He also addresses the challenges that may arise with the …

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Smart Government Series

Campus Reopening Solutions for Higher Education with Google Cloud

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In this podcast, Google Cloud’s Chris Haas, SpringML’s Sindhu Adini and Washington University in St. Louis’s Dr. Philip R.O. Payne discuss how a data-driven approach can help drive efficient campus reopening solutions for student and faculty wellness. Listen to this podcast to hear insights on: How to implement contact tracing and symptom checks Vaccination eligibility and …

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Sindhu-Adini

Dive Deeper into Google Cloud Dataprep by Trifacta and How it Accelerates Analytics

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At SpringML, we know exactly which tools can accelerate progress and solve complex data problems. One such technology is Google Cloud Dataprep by Trifacta, a cloud data preparation service on Google Cloud Platform (GCP). Cloud Dataprep allows users to explore, clean, and prepare data for analysis and machine learning through an intelligent and visual interface – …

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Using Machine Learning to detect potholes for the City of Memphis | Eric Clark’s chat with Max Saltonstall, Developer Advocate at Google

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In this podcast episode, Eric Clark, Technical Project Manager & Cloud enthusiast at SpringML talks to Max Saltonstall, Developer Advocate at Google about using Machine Learning to detect potholes for the City of Memphis. Let’s listen in as he shares best practices for the public sector and civil projects as well as a customer story around …

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