Remove area customers-and-business
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Shutting Down My Job Board for Software Engineering Positions After 2.5 Years

The Pragmatic Engineer

Context My initial motivation with the job board was to add a kind of "helpful monetization" to both my blog, and The Pragmatic Engineer Newsletter. Context My initial motivation with the job board was to add a kind of "helpful monetization" to both my blog, and The Pragmatic Engineer Newsletter.

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Best of 2022: Top 5 Insurance Blog Posts

Precisely

Let’s explore the impact of data in this industry as we count down the top 5 insurance blog posts of 2022. #5 Customers expect a seamless omnichannel experience, with quick and easy access to information tailored to their individual needs – and insurers who fail to deliver on that need will eventually find themselves falling behind.

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An educational side project

The Pragmatic Engineer

for the simulation engine Go on the backend PostgreSQL for the data layer React and TypeScript on the frontend Prometheus and Grafana for monitoring and observability And if you were wondering how all of this was built, Juraj documented his process in an incredible, 34-part blog series. You can read this here.

Education 363
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Making Email Better With AI At Shortwave

Data Engineering Podcast

In this episode he shares the technical challenges that he and his team have overcome in integrating AI into their product, as well as the benefits and features that it provides to their customers. Email has been a central part of communication and business productivity for decades now. Want to see Starburst in action?

Data Lake 182
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Reduce Friction In Your Business Analytics Through Entity Centric Data Modeling

Data Engineering Podcast

Summary For business analytics the way that you model the data in your warehouse has a lasting impact on what types of questions can be answered quickly and easily. You specify the customer traits, then Profiles runs the joins and computations for you to create complete customer profiles.

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Improving ETAs with Multi-Task Models, Deep Learning, and Probabilistic Forecasts

DoorDash Engineering

We want to ensure that every customer can trust our ETAs, ensuring a high-quality experience in which their food arrives on time every time. Then the decision layer leverages the base model’s predictions to solve various multi-objective optimization problems for different businesses.

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Use Consistent And Up To Date Customer Profiles To Power Your Business With Segment Unify

Data Engineering Podcast

Summary Every business has customers, and a critical element of success is understanding who they are and how they are using the companies products or services. Segment created the Unify product to reduce the burden of building a comprehensive view of customers and synchronizing it to all of the systems that need it.