Ascend.io

DECEMBER 5, 2023

AI is transforming everything — and fast. What’s In It For You In this article, we’re diving into real-world AI use cases. We’re focusing on the most popular domains for AI implementation, where the technology is already accelerating value and transforming business operations.

Recruitment 52

Recruitment Data Science Utilities Technology 52

Ascend.io

JULY 26, 2023

Data teams are tasked with the crucial responsibility of transforming raw data into valuable insights, a process that directly influences business outcomes. The ultimate goal is to enable data teams to transform their processes, align with strategic goals, and truly become catalysts of value within their organizations.

Data Pipeline 52

Data Pipeline Data Governance Data Government 52

Towards Data Science

FEBRUARY 10, 2023

These legacy approaches just can’t scale within organizations that today have dozens of data sources, hundreds of data models, thousands of tables, and millions of dollars impacted by operational use cases beyond analytical dashboards. This could be a reporting suite within a digital advertising platform for example. ETL vs ELT?

Data Pipeline 95

Data Pipeline Data Cleanse Data Machine Learning 95

Monte Carlo

FEBRUARY 7, 2023

These legacy approaches just can’t scale within organizations that today have dozens of data sources, hundreds of data models, thousands of tables, and millions of dollars impacted by operational use cases beyond analytical dashboards. This could be a reporting suite within a digital advertising platform for example.

Management 72

Management Data Data Pipeline Data Cleanse 72

Ascend.io

MARCH 17, 2023

The processes to consume and transform data are ad-hoc and manual, and the costs are unjustified. These engineering functions are almost exclusively concerned with data pipelines, spanning ingestion, transformation, orchestration, and observation — all the way to data product delivery to the business tools and downstream applications.

Data Pipeline 52

Data Pipeline Datasets Data Software Engineer 52

Ascend.io

MARCH 17, 2023

The processes to consume and transform data are ad-hoc and manual, and the costs are unjustified. These engineering functions are almost exclusively concerned with data pipelines, spanning ingestion, transformation, orchestration, and observation — all the way to data product delivery to the business tools and downstream applications.

Data Pipeline 52

Data Pipeline Datasets Data Software Engineer 52