Data Enablement Data Processing Manufacturing Predictive Analytics 
Sisense
OCTOBER 6, 2020
Despite its many uses, quantitative data presents two main challenges for a data-driven organization. First, data isn’t created in a uniform, consistent format. It’s generated by a host of sources in different ways. You have to be able to work with both kinds of data in order to unlock the most comprehensive insights.
Cloudera
SEPTEMBER 12, 2018
Toshiba Memory Corporation is revolutionizing flash memory semiconductor manufacturing using Cloudera to detect defective parts earlier in the manufacturing process and identify the root cause of defects several times faster. Brian Carpenter , Co-Host, The Hot Aisle Podcast, @intheDC.
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IBM Big Data Hub
OCTOBER 20, 2023
” When observing its potential impact within industry, McKinsey Global Institute estimates that in just the manufacturing sector, emerging technologies that use AI will by 2025 add as much as USD 3.7 Will it be implemented on-premises or hosted using a cloud platform? .” Of this, PwC estimates that “USD 6.6
Smart Data Collective
AUGUST 14, 2019
The healthcare sector is heavily dependent on advances in big data. Healthcare organizations are using predictive analytics , machine learning, and AI to improve patient outcomes, yield more accurate diagnoses and find more cost-effective operating models. Big Data is Carrying Massive Changes for Healthcare Organizations.
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. where performance and data quality is imperative? I didn’t mean to imply this.
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