MLCommons releases open source datasets for speech recognition
Venture Beast
DECEMBER 14, 2021
The nonprofit consortium MLCommons has released a massive, license-free dataset for speech recognition system development and testing. Read More.
Big Data Nonprofit Open Source Software 
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Which Government, Non-Profit and NGO Have Big Data/CDH Lessons Learned To Share?
CTOvision
SEPTEMBER 17, 2014
Successfully deploying Hadoop as a core component or enterprise data hub within a symbiotic and interconnected big data ecosystem; integrating with existing relational data warehouse(s), data mart(s), and analytic systems, and supporting a wide range of user groups with different needs, skill sets, and workloads.
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The Data Impact Awards: This is the “academy awards” of data solutions
CTOvision
OCTOBER 16, 2014
But I don’t care now, I’ve been on the stage in the big data community version of that gala. 2014 Finalists Announced for Data Impact Awards. Second Annual Awards Program, Presented by Cloudera, Honors Big Data Achievements. Los Angeles Big Data Users Group. ? Oct/09/2014. Cloudwick. ?
CDH Users: If you have done impactful things with data please share how what and why
CTOvision
SEPTEMBER 8, 2014
Successfully deploying Hadoop as a core component or enterprise data hub within a symbiotic and interconnected big data ecosystem; integrating with existing relational data warehouse(s), data mart(s), and analytic systems, and supporting a wide range of user groups with different needs, skill sets, and workloads.
Should you build or buy generative AI?
CIO Business Intelligence
JULY 14, 2023
As a ‘taker,’ you consume generative AI through either an API, like ChatGPT, or through another application, like GitHub Copilot, for software acceleration when you do coding,” he says. A general LLM won’t be calibrated for that, but you can recalibrate it—a process known as fine-tuning—to your own data.
List of the world’s top female futurists (Update #5)
Trends in the Living Networks
AUGUST 11, 2022
Evans’s involvement in the telecoms industry began with her work as a software engineer in the early 1980s. In order to start her own data services and market research company, Telsyte, in 1997, she fused her engineering background with her “intuitive understanding of how society is likely to respond to new technologies”. Dr. Maria H.
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