KDnuggets
MAY 25, 2023
The blog focuses on GPT models, providing an in-depth understanding and analysis. It explains the three main components of GPT models: generative, pre-trained, and transformers.
databricks
MAY 25, 2023
A key piece of your data and AI transformation strategy will involve the decision around which components of the data ecosystem are built.
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KDnuggets
MAY 25, 2023
Simple tips on doing less and achieving more from VSCode.
databricks
MAY 25, 2023
Databricks Ventures is excited to announce our investment in Catalyst, an advanced platform that helps software companies accelerate growth by optimizing relationships with.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
Precisely
MAY 25, 2023
Assessing your retail network and generating an expansion plan requires diligence, data, and expertise. Here at Precisely we bring all three of these things together. As part of that journey here are 10 Tips for Successful Retail Site Selection from our experts in demography, location intelligence, and data science. 1. Verify the quality of your location data Whether it is part of a robust sales forecasting model or to just display on a map, data location accuracy is critical in any retail site
ArcGIS
MAY 25, 2023
This blog will answer questions such as “Where does SAR satellite data come from?” and “How to add it to your ArcGIS pro map?”.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Confluent
MAY 25, 2023
Learn three different ways to source data from DynamoDB to Confluent using CDC, including pros and cons of each method.
The Pragmatic Engineer
MAY 25, 2023
👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. In every issue, I cover topics related to Big Tech and high-growth startups through the lens of engineering managers and senior engineers. In this issue, we cover one out of six topics from today’s subscriber-only The Scoop issue. To get full articles twice a week, subscribe here.
Pinterest Engineering
MAY 25, 2023
Representation online matters: practical end-to-end diversification in search and recommender systems Bhawna Juneja | Senior Machine Learning Engineer; Pedro Silva | Senior Machine Learning Engineer; Shloka Desai | Machine Learning Engineer II; Ashudeep Singh | Machine Learning Engineer II; Nadia Fawaz | (former) Inclusive AI Tech Lead Introduction Pinterest is a platform designed to bring everyone the inspiration to create a life they love.
Monte Carlo
MAY 25, 2023
According to a recent survey , data engineers are reporting nearly twice as many data incidents this year as last. On average, it takes 15 hours per incident to reach a resolution. And nearly 75% of the time, business stakeholders are the first to identify data issues. As data leaders know, when business users encounter data that’s missing, erroneous, or otherwise inaccurate, decision-making is compromised and trust in data erodes.
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
Robinhood
MAY 25, 2023
Robinhood was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood is lowering barriers and providing greater access to financial information and investing. Together, we are building products and services that help create a financial system everyone can participate in.
Monte Carlo
MAY 25, 2023
Picture this: your data is scattered. Data pipelines originate in multiple places and terminate in various silos across your organization. Your data is inconsistent, ungoverned, inaccessible, and difficult to use. If that sounds like your experience, you’re not alone. While organizations across industries are sitting on mountains of un-mined decision-making gold, scattered and siloed data precludes them from delivering data-driven alchemy.
Robinhood
MAY 25, 2023
Robinhood was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood is lowering barriers and providing greater access to financial information and investing. Together, we are building products and services that help create a financial system everyone can participate in.
Snowflake
MAY 25, 2023
Energy provider Uniper has collaborated with Snowflake to build a connector that feeds data from Snowflake into Microsoft Power Automate, which allows Uniper’s employees to build their own automations. Uniper now uses the Snowflake-Power Automate connector for the following: Create reports on employees’ mobile spending, avoiding the need to manually upload phone bills.
Speaker: Anne Steiner and David Laribee
As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.
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