Netflix Tech
JANUARY 10, 2024
This introductory blog focuses on an overview of our journey. Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process.
Ascend.io
JUNE 8, 2023
Treating data as a product is more than a concept; it’s a paradigm shift that can significantly elevate the value that business intelligence and data-centric decision-making have on the business. Data pipelines Data integrity Data lineage Data stewardship Data catalog Data product costing Let’s review each one in detail.
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Knowledge Hut
DECEMBER 26, 2023
Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. Data Modeling using multiple algorithms. The data pipelines allow businesses to collect data from millions of users and process the results in real-time.
Pinterest Engineering
SEPTEMBER 20, 2023
These teams work together to ensure algorithmic fairness, inclusive design, and representation are an integral part of our platform and product experience. Likewise in closeup recommendations, we added an additional diversification objective to the existing DPP Node as the final step in our blending pipeline prior to returning ranked results.
Cloudera
NOVEMBER 15, 2021
This blog discusses quantifications, types, and implications of data. Deep Learning, a subset of AI algorithms, typically requires large amounts of human annotated data to be useful. The word “data” is ubiquitous in narratives of the modern world. And data, the thing itself, is vital to the functioning of that world. Data annotation.
DoorDash Engineering
NOVEMBER 28, 2023
It is amusing for a human being to write an article about artificial intelligence in a time when AI systems, powered by machine learning (ML), are generating their own blog posts. The idea was to create a one-stop shop for users to collect data from different sources and then clean and organize it for use by machine learning algorithms.
Lyft Engineering
APRIL 3, 2023
This blog post focuses on the scope and the goals of the recommendation system, and explores some of the most recent changes the Rider team has made to better serve Lyft’s riders. This blog mostly focuses on the mode selector to explain how rankings have evolved in the past years and briefly touches on the post request cross-sells.
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