Monte Carlo

JANUARY 23, 2024

This means that data scientists and engineers will be able to spend less time on painstakingly preparing datasets for analytics or writing complex code. Within the next year or so, John says, most of the practical use cases for gen AI in data will be centered around productivity. Those who don’t embrace it will be left behind.

Pipeline-centric 52

Pipeline-centric Database-centric Metadata Unstructured Data 52

Ascend.io

JUNE 8, 2023

Is it possible to treat data not just as a necessary operational output, but as a product that holds immense strategic value? 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.

Pipeline-centric 52

Pipeline-centric Database-centric Data Ingestion Data Pipeline 52

Monte Carlo

APRIL 24, 2023

While we won’t get into the minutia of every consideration for every level of the data stack, it’s important to recall these five considerations as they’ll nonetheless steer the direction of our conversation. Upstream data evolution breaks pipelines. Your data team and your customers will thank you.

Data Pipeline 52

Data Pipeline Building Data Ingestion BI 52

Monte Carlo

MARCH 28, 2024

A data product, coined by DJ Patil, Former Chief Data Scientist of the United States, has several components, including a product management process, the domain wrapper comprising a semantic layer, business logic and metrics, and access. Simply put, a data product is much more than a dataset alone.

Data 52

Data High Quality Data Machine Learning Accessible 52

Monte Carlo

AUGUST 9, 2023

From the hundreds of hours we’ve spent talking to customers, it’s clear that data quality issues are some of the most pernicious challenges facing modern data teams. In fact, according to Gartner , data quality issues cost organizations an average of $12.9 Bad data in—bad data products out.

Finance 52

Finance High Quality Data SQL Data 52

Monte Carlo

MAY 17, 2023

Move Your Generative AI Strategy From Pitch Deck To Reality If generative AI is a gold rush, high quality data is the pickaxe. As the leaked Google memo says, “data quality scales better than data size” for these types of projects which can save time by training on “small, highly curated datasets.”

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

Move Your Generative AI Strategy From Pitch Deck To Reality If generative AI is a goldrush, high quality data is the pickaxe. As the leaked Google memo says, “data quality scales better than data size” for these types of projects which can save time by training on “small, highly curated datasets.”

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52