Cloudera

FEBRUARY 15, 2024

Cultural shift and technology adoption: Traditional banks and insurance companies must adapt to the emergence of fintech firms and changing business models. Seeing the future in a modern data architecture The key to successfully navigating these challenges lies in the adoption of a modern data architecture.

Insurance 86

Insurance Data Architecture Risk Management Risk 86

DataKitchen

NOVEMBER 29, 2021

In 2022, data organizations will institute robust automated processes around their AI systems to make them more accountable to stakeholders. Model developers will test for AI bias as part of their pre-deployment testing. Continuous testing, monitoring and observability will prevent biased models from deploying or continuing to operate.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

Cloudera

OCTOBER 19, 2023

While navigating so many simultaneous data-dependent transformations, they must balance the need to level up their data management practices—accelerating the rate at which they ingest, manage, prepare, and analyze data—with that of governing this data.

Data-driven 75

Data-driven Data Architecture Predictive Modeling Digital Transformation 75

Ontotext

AUGUST 4, 2023

A data fabric utilizes an integrated data layer over existing, discoverable, and inferenced metadata assets to support the design, deployment, and utilization of data across enterprises, including hybrid and multi-cloud platforms. This aids in data discovery and exploration as it identifies patterns across all types of metadata.

Metadata 52

Metadata Data-driven Data Architecture Data Quality 52

DataKitchen

JANUARY 3, 2022

Business analytic teams have ongoing deliverables – a dashboard, a PowerPoint, or a model that they refresh and renew. There’s a recent trend toward people creating data lake or data warehouse patterns and calling it data enablement or a data hub. The work product could be a chart, graph, model or dashboard.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

CIO Business Intelligence

NOVEMBER 14, 2022

Migration works best by considering the guardrails and processes needed to collect data, store it with the appropriate security and governance models, and then accelerate innovation,” Toner said. Being locked into a data architecture that can’t evolve isn’t acceptable.”

Analytics 102

Analytics Machine Learning Testing Data Strategy 102

AWS Big Data

MARCH 25, 2024

Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. This scale and general-purpose adaptability are what makes FMs different from traditional ML models. FMs are multimodal; they work with different data types such as text, video, audio, and images.

Data Lake 92

Data Lake Unstructured Data Management Modeling 92