Cloudera

DECEMBER 16, 2022

Cloudera has been recognized in this cloud DBMS report since its inception in 2020. Cloudera’s platform enables teams to burst compute intensive machine learning workloads to the cloud. Notably, these same services simplify repatriating data workloads back to private clouds, to save on cloud infrastructure expenses.

Management 90

Management Metadata Machine Learning Data Lake 90

Cloudera

MAY 12, 2021

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. We saw a record number of entries and incredible examples of how customers were using Cloudera’s platform and services to unlock the power of data. DATA FOR ENTERPRISE AI.

Digital Transformation 68

Digital Transformation Machine Learning Optimization Data Lake 68

CIO Business Intelligence

MAY 26, 2022

When companies first start deploying artificial intelligence and building machine learning projects, the focus tends to be on theory. But the tools that data scientists use to create these proofs of concept often don’t translate well into production systems. Most organizations are still figuring out optimal configurations.”.

Machine Learning 141

Machine Learning Modeling Data-driven Dashboards 141

CIO Business Intelligence

MAY 28, 2022

When companies first start deploying artificial intelligence and building machine learning projects, the focus tends to be on theory. But the tools that data scientists use to create these proofs of concept often don’t translate well into production systems. Most organizations are still figuring out optimal configurations.”.

Machine Learning 129

Machine Learning Modeling Data-driven Dashboards 129

CIO Business Intelligence

MARCH 22, 2022

Data about customers, supply chains, the economy, market trends, and competitors must be aggregated and cross-correlated from myriad sources. . But the sheer volume of the world’s data is expected to nearly triple between 2020 and 2025 to a whopping 180 zettabytes. This is where artificial intelligence (AI) comes in.

Analytics 96

Analytics Key Performance Indicator Data Warehouse Data-driven 96

erwin

DECEMBER 13, 2018

Look at California as an example with California Consumer Privacy Act (CCPA) going into effect in 2020. As data becomes increasingly more vital to an organization’s success from a compliance and business perspective, the role of the CDO will become more defined. Data is no longer just an IT issue.

Data Governance 91

Data Governance IoT Internet of Things Data-driven 91

AWS Big Data

MAY 19, 2023

Organizations across all industries have complex data processing requirements for their analytical use cases across different analytics systems, such as data lakes on AWS , data warehouses ( Amazon Redshift ), search ( Amazon OpenSearch Service ), NoSQL ( Amazon DynamoDB ), machine learning ( Amazon SageMaker ), and more.

Machine Learning 84

Machine Learning Metrics Big Data Management 84

Sisense

MAY 11, 2021

The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021!

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Alation

JUNE 9, 2021

According to IDC , more than 59 zettabytes (59,000,000,000,000,000,000,000 bytes) of data was created, captured, and consumed in the world in 2020. It’s almost quaint to think that 20 years ago, organizations generally didn’t have enough data to perform desired analyses. The Role of Data Catalogs in Data Search & Discovery.

Data Governance 59

Data Governance Data-driven Machine Learning Data Lake 59

BizAcuity

MARCH 1, 2019

Traditional methods of analyzing structured data are not designed to efficiently process these large amounts of real-time data that is collected from IoT devices. This is where AI-based analysis and response play a critical role in extracting optimal value from the data. IoT produces a treasure trove of big data.

IoT 56

IoT Internet of Things Big Data Data-driven 56

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. Who was my most ESG compliant plant in 2020?”

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

AWS Big Data

MAY 4, 2023

The Transparency in Coverage rule is a federal regulation in the United States that was finalized by the Center for Medicare and Medicaid Services (CMS) in October 2020. Athena provides a simplified, flexible way to analyze petabytes of data. For more details, refer to Best practices design patterns: optimizing Amazon S3 performance.

Insurance 84

Insurance Publishing Cost-Benefit Data Lake 84

Andrew White

JANUARY 11, 2021

The data suggests several things: The work of traditional analytics and BI continues towards democratization in the business unit directly, we call this domain analytics in our research, part of domain D&A. Many data science labs are set up as shared services. Data lakes don’t offer this nor should they.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52