Alation

APRIL 25, 2023

As firms mature their transformation efforts, applying Artificial Intelligence (AI), machine learning (ML) and Natural Language Processing (NLP) to the data is key to putting it into action quickly and effecitvely. Using bad data, or the incorrect data can generate devastating results. between 2022 and 2029.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

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 78

Data-driven Data Architecture Predictive Modeling Digital Transformation 78

Cloudera

APRIL 13, 2021

But while the company is united by purpose, there was a time when its teams were kept apart by a data platform that lacked the scalability and flexibility needed for collaboration and efficiency. Disparate data silos made real-time streaming analytics, data science, and predictive modeling nearly impossible.

Enterprise 76

Enterprise Cost-Benefit Data Warehouse Data Architecture 76

Cloudera

NOVEMBER 18, 2020

The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery.

Internet Publishing and Broadcasting 122

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 122

Alation

APRIL 14, 2022

Organizations launched initiatives to be “ data-driven ” (though we at Hired Brains Research prefer the term “data-aware”). They strove to ramp up skills in all manner of predictive modeling, machine learning, AI, or even deep learning.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

Cloudera

SEPTEMBER 7, 2023

Cloudera’s ability to seamlessly integrate and process diverse data sources, combined with its comprehensive suite of machine learning and AI tools, empowers institutions to harness the power of generative AI for predictive modeling, risk assessment, fraud detection, and personalized customer experiences.

Insurance 83

Insurance Risk Data-driven Finance 83

O'Reilly on Data

SEPTEMBER 11, 2019

But the database—or, more precisely, the data model —is no longer the sole or, arguably, the primary focus of data engineering. If anything, this focus has shifted to the ML or predictive model. New trends in data architecture and data services.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

FineReport

MARCH 31, 2024

Best BI Tools for Data Analysts 3.1 Recognized for its versatility, Power BI excels in data transformation and visualization, incorporating advanced predictive modeling and AI-driven features. Key Features: Integrated data architecture simplifies data preparation and analysis processes.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

Smarten

MAY 30, 2023

It is also supported by advanced analytics components including natural language processing (NLP) search analytics, and assisted predictive modeling to enable the Citizen Data Scientist culture. Flexible Deployment via public or private cloud, or enterprise on-premises hardware.

Slice and Dice 52

Slice and Dice Business Intelligence Cost-Benefit Dashboards 52

Jet Global

MAY 1, 2023

Advanced Analytics Provide the unique benefit of advanced (and often proprietary) statistical models in your app. Data Environment First off, the solutions you consider should be compatible with your current data architecture. Second, these should be flexible enough to meet the changing demands of users.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52