Thursday, September 24, 2020

Cloud data warehouse fortunes improved by explosive Snowflake IPO

 
AI, Analytics and Big Data Digest

Artificial intelligence, BI and data management content from TechTarget |September 24, 2020

TechTarget
FEATURED ITEM

Explosive Snowflake IPO advances cloud data warehouse fortunes

by Sean Michael Kerner, Contributor
Snowflake goes public in a big way on the New York Stock Exchange, raising more than $3 billion as enterprises increasingly move data and analytics workloads to the cloud.
Advertisement
NEWS
 

Miscues in 2016 inform presidential polling data in 2020

Polls and predictive analytics models are improved in 2020 after the failure to accurately predict the outcome of the 2016 election, but surprises still may loom.
 
Nvidia, Arm deal creates AI, chip powerhouse
Nvidia's acquisition of U.K. chipmaker Arm, if approved by regulators, will greatly expand Nvidia's reach in the CPU market, especially in IoT and mobile devices.
 

Pandemic exposes difficulty of data management in education

Limited resources and a shift to remote learning have shown the inequalities across school districts when it comes to data management and the negative impact this can have.

 
The evolving role of the chief data officer
The job of the chief data officer is expanding to be more strategic as the need for organizations to connect and make sense of vast sums of data continues to grow.
EXPERT ADVICE
 

Success of self-service BI depends on solid infrastructure

A clear data governance policy and effective training are critical to enabling self-service analytics users to make data-driven decisions for their organizations.

 
Analytics in construction has potential to save lives
While minor injuries are on the decline in the construction industry, the rate of fatalities has remained flat, and BI could be a way to bring those numbers down.
 
AI in transportation reduces employee workloads
By using intelligent automation, a shipping company trimmed employee workloads, enabling employees to shift from document processing to customer service.
 

How to troubleshoot 8 common autoencoder limitations

Autoencoders' ability for automated feature extraction, data preparation, and denoising are complicated by their common problems and limitations in usage.

 
Expanding explainable AI examples key for the industry
Improving AI explainability and interpretability is key to the continued building of trust with consumers and the continued success of the technology.
 
Automated document processing helps PPP applications
Using its own AI models, as well as technology from Abbyy, PwC can rapidly and correctly file a large volume of PPP loan applications.
About This E-Newsletter
The AI, Analytics and Big Data Digest is published by TechTarget, Inc., 275 Grove Street, Newton, Massachusetts, 02466 US.

Click to: Unsubscribe.

You are receiving this email because you are a member of TechTarget. When you access content from this email, your information may be shared with the sponsors or future sponsors of that content and with our Partners, see up-to-date Partners List, as described in our Privacy Policy. For additional information, please contact: webmaster@techtarget.com.

© 2020 TechTarget, Inc. all rights reserved. Designated trademarks, brands, logos, and service marks are the property of their respective owners.

Privacy Policy | Partners List
TechTarget

No comments: