Declarative Machine Learning and the Future of Data Science

Oct 06, 2022 by Kevin Petrie in Decoding Data Software

ABSTRACT:

Declarative ML has the potential to reduce the time, effort, and skills required to bring ML into production in a wide range of enterprise environments.

Modern Approaches to Data Access Management: Balancing Data Access and Data Security

Oct 05, 2022 by Jay Piscioneri in Reinventing with Data

ABSTRACT:

Data fabric, another step in evolving data architecture, uses metadata, machine learning, and automation to provide a unified view of enterprise data regardless of its format or location. It encompasses previous architectures—data warehouses and data lakes—to support business intelligence, data...

Data Orchestration: Simplifying Data Access for Analytics

Oct 05, 2022 by Kevin Petrie in Decoding Data Software

ABSTRACT:

As business demands for analytics rise—along with cloud costs—enterprises need to rationalize how they access and process distributed data.

The Emergence of Decision AI: Smarter Action with Artificial Intelligence

Sep 30, 2022 by Kevin Petrie in Decoding Data Software

ABSTRACT:

The emerging discipline of decision AI creates the opportunity for enterprises to make smarter, faster, and more adaptable decisions than traditional business intelligence methods. Decision AI uses artificial intelligence to automate the decision lifecycle and overcome human limitations. It...

Data Architecture as a Service: Empowering the Business to Build Compliant Pipelines

Sep 27, 2022 by Wayne Eckerson in Data Strategy Insider

ABSTRACT:

Data architecture-as-a-service (DAaaS) is a new self-service paradigm that empowers business users to create architecturally compliant data pipelines and repositories. By injecting architectural guardrails into commercial, self-service data engineering tools, DaaS solves the problem of data silos.