Data Collection Deep Learning Internet of Things Marketing 
Rocket-Powered Data Science
JULY 6, 2021
The Edge-to-Cloud architectures are responding to the growth of IoT sensors and devices everywhere, whose deployments are boosted by 5G capabilities that are now helping to significantly reduce data-to-action latency. 7) Deep learning (DL) may not be “the one algorithm to dominate all others” after all.
datapine
NOVEMBER 19, 2019
If you don’t pay attention to new changes or keep up the pace, it’s easy to fall behind the times (and the market) while other companies beat you to the punch. Get the inside scoop and learn all the new buzzwords in tech for 2020! The modern world is changing more and more quickly with each passing year. The solution?
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IBM Big Data Hub
FEBRUARY 23, 2024
Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. In conversational AI, this translates to organizations’ ability to make data-driven decisions aligning with customer expectations and the state of the market. billion by 2030.
Cloudera
FEBRUARY 4, 2019
One of the most promising technology areas in this merger that already had a high growth potential and is poised for even more growth is the Data-in-Motion platform called Hortonworks DataFlow (HDF). CDF, as an end-to-end streaming data platform, emerges as a clear solution for managing data from the edge all the way to the enterprise.
Domino Data Lab
MAY 8, 2019
The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. Machine learning model interpretability. training data”) show the tangible outcomes.
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