TDAN

JANUARY 5, 2022

Defined as information sets too large for traditional statistical analysis, Big Data represents a host of insights businesses can apply towards better practices. In manufacturing, this means opportunity. But what exactly are the opportunities present in big data?

Manufacturing 89

Manufacturing Big Data Statistics Data Processing 89

bridgei2i

OCTOBER 20, 2021

A Practitioner’s View on AI-Led Transformation in Manufacturing. In this podcast, the guest Adita Karnani shares some thought-provoking insights on AI-led automation in manufacturing plants and how digitalization coupled with the pandemic has led to innovations and processes within many industrial plants. Subscribe Now. Highlights.

Manufacturing 98

Manufacturing Enterprise IoT Technology 98

AWS Big Data

OCTOBER 29, 2024

The Solution: How BMW CDH solved data duplication The CDH is a company-wide data lake built on Amazon Simple Storage Service (Amazon S3). It streamlines access to various AWS services, including Amazon QuickSight , for building business intelligence (BI) dashboards and Amazon Athena for exploring data.

Data Lake 109

Data Lake Sales Metadata Machine Learning 109

CIO Business Intelligence

NOVEMBER 16, 2022

As a household name in household goods, with annual sales of $22 billion, Whirlpool has 54 manufacturing and tech research centers worldwide, and bursts with a portfolio that includes several familiar brands including KitchenAid, Maytag, Amana, Yummly, among others. On the enterprise data strategy: I am a self-admitted data geek.

IT 133

IT Modeling Digital Transformation Data Governance 133

bridgei2i

NOVEMBER 3, 2021

Driving AI Adoption in the Manufacturing Industry. Tune in to listen to Ronobijay Bhaumik and Aditya Karnani as they engage in a conversation about how empowering workers with decision-making skills can lead to accelerated adoption of AI in the manufacturing industry. [3:40] I’m your host for today, Ronobijay Bhaumik.

Manufacturing 52

Manufacturing Enterprise ROI Digital Transformation 52

AWS Big Data

MARCH 10, 2023

They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. These transactional data lakes combine features from both the data lake and the data warehouse. Data can be organized into three different zones, as shown in the following figure.

Data Lake 121

Data Lake Sales Data Warehouse Snapshot 121

IBM Big Data Hub

MAY 15, 2024

Transformation styles like TETL (transform, extract, transform, load) and SQL Pushdown also synergies well with a remote engine runtime to capitalize on source/target resources and limit data movement, thus further reducing costs. With a multicloud data strategy, organizations need to optimize for data gravity and data locality.

Cost-Benefit 67

Cost-Benefit Data Integration Data Architecture Manufacturing 67