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 78

Enterprise Cost-Benefit Data Warehouse Data Architecture 78

CIO Business Intelligence

MARCH 19, 2025

Integrating ESG into data decision-making CDOs should embed sustainability into data architecture, ensuring that systems are designed to optimize energy efficiency, minimize unnecessary data replication and promote ethical data use.

IT 59

IT Data Governance Data-driven Metrics 59

CIO Business Intelligence

JULY 26, 2023

The CIO delights in detailing the work of Re/Max’s technology team, which is building the pipelines and cloud-native applications to deliver agents in the field the most refined and insightful data from more than 500 MLS listing serivces in the US and Canada as quickly as possible.

Data Lake 98

Data Lake Digital Transformation Machine Learning Data Architecture 98

IBM Big Data Hub

SEPTEMBER 19, 2023

This iterative process is known as the data science lifecycle, which usually follows seven phases: Identifying an opportunity or problem Data mining (extracting relevant data from large datasets) Data cleaning (removing duplicates, correcting errors, etc.)

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

AWS Big Data

DECEMBER 19, 2024

Above all, the ability to autonomously discover data produced by other teams is enabling a series of new use cases for the business, which werent even visible to them earlier due to the lack of awareness and visibility on what others were producing. Oghosa Omorisiagbon is a Senior Data Engineer at HEMA.

Data Governance 52

Data Governance Publishing Data-driven Metadata 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

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 Data-driven Modeling 59

AWS Big Data

OCTOBER 9, 2024

Arunabha Datta is a Senior Data Architect at AWS Professional Services. He collaborates with customers and partners to create and execute modern data architecture using AWS Analytics services. Charishma Ravoori is an Associate Data & ML Engineer at AWS Professional Services.

Data Quality 95

Data Quality Data Lake Data Warehouse Metrics 95

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

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 52

Data Governance Marketing Machine Learning Sales 52

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

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

IBM Big Data Hub

MARCH 7, 2023

The specific approach we took required the use of both AI and edge computing to create a predictive model that could process years of anonymized data to help doctors make informed decisions. We wanted to be able to help them observe and monitor the thousands of data points available to make informed decisions.

Risk 52

Risk Technology Informatics Predictive Modeling 52

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 23

IoT Big Data Data Warehouse Uncertainty 23

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