O'Reilly on Data

JANUARY 8, 2019

Beyond investments in narrowing the skills gap, companies are beginning to put processes in place for their data science projects, for example creating analytics centers of excellence that centralize capabilities and share best practices. Automation in data science and data. Burgeoning IoT technologies.

IoT 201

IoT Machine Learning Internet of Things Data Science 201

CIO Business Intelligence

JUNE 28, 2022

Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key.

Management 138

Management Internet of Things Statistics Data-driven 138

Data Insight

JANUARY 21, 2020

With speeds at least ten times faster than that of 4G, businesses will be able to increase their data collection and transmission through sensors - so expect to see an increase in use cases for the internet of things (IoT). Attracting and keeping great data science talent is another obstacle in itself.

Internet of Things 52

Internet of Things Cost-Benefit Data Science Data Governance 52

CIO Business Intelligence

MAY 18, 2022

When we were thinking about creating a community of excellence for AI, we have a core group that is inside our Connected Technologies called DS&A (data science & analytics). Artificial Intelligence, CIO, CTO, Internet of Things, IT Leadership, IT Training

IoT 98

IoT Internet of Things Statistics Technology 98

AWS Big Data

MARCH 7, 2023

Analytics reference architecture for gaming organizations In this section, we discuss how gaming organizations can use a data hub architecture to address the analytical needs of an enterprise, which requires the same data at multiple levels of granularity and different formats, and is standardized for faster consumption.

Analytics 73

Analytics Data Warehouse Data Lake Metadata 73

erwin

JUNE 11, 2020

How Business Benefits from Data Intelligence. Traditional business models and processes can be detrimental to today’s evolving data-driven society. Businesses are then introduced to modern data science and data intelligence tools to enhance and fine-tune their products and processes. Data quality management.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

Data Virtualization

OCTOBER 18, 2022

The post The Data Warehouse is Dead, Long Live the Data Warehouse, Part I appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information. Reading Time: 4 minutes “Le roi est mort, vive le roi.”

Data Warehouse 98

Data Warehouse ROI Data Integration Internet of Things 98