Cloudera

NOVEMBER 2, 2021

Becoming a data-driven organization is not exactly getting any easier. Businesses are flooded with ever more data. Although it is true that more data enables more insight, the effort needed to separate the wheat from the chaff grows exponentially. Data governance: three steps to success.

Data Governance 97

Data Governance Data-driven Data Processing Risk 97

Smart Data Collective

AUGUST 14, 2019

Providers can improve their data capture operations by prioritizing valuable types for their specific projects, involving the data governance and integrity expertise of health information management professionals. However, the major concern they have when moving to the cloud is the lack of control over where their data is kept.

Big Data 101

Big Data Data Analytics Analytics Internet of Things 101

Cloudera

AUGUST 8, 2024

Cloudera’s data lakehouse provides enterprise users with access to structured, semi-structured, and unstructured data, enabling them to analyze, refine, and store various data types, including text, images, audio, video, system logs, and more.

Enterprise 72

Enterprise Predictive Modeling Cost-Benefit Unstructured Data 72

Cloudera

JANUARY 27, 2022

I have been researching more about how we can use the new data from those devices to design more innovative insurance products while being aware that these should all be contingent upon customer opt-in. I recently attended one of Majesco’s excellent webinars hosted by Denise Garth, Chief Strategy Officer. For example, in the U.S.,

Insurance 85

Insurance IoT Risk Data Processing 85

Cloudera

OCTOBER 19, 2023

To do this, telcos must reimagine their approach to data architecture: transitioning from legacy, siloed data architectures to a modern data architecture—anchored by a data platform able to integrate data across on-premises and cloud environments, and the network edge.

Data-driven 76

Data-driven Data Architecture Predictive Modeling Digital Transformation 76

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models. Will it be implemented on-premises or hosted using a cloud platform? What types of features do AI platforms offer?

Machine Learning 71

Machine Learning Manufacturing Deep Learning Cost-Benefit 71

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. See The Future of Data and Analytics: Reengineering the Decision, 2025. I didn’t mean to imply this.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52