Confluent
FEBRUARY 6, 2019
Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Therefore, the majority of machine learning/deep learning frameworks focus on Python APIs.
Cutter Consortium
MARCH 22, 2018
An upcoming issue of Cutter Business Technology Journal seeks insight on the current uses of edge to cloud – or fog – applications, case studies, and industry/business implications. What are the uses of analytics, AI, AR, VR, and machine learning? What are the different technologies that support the continuum?
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d2iq
AUGUST 29, 2022
AI and Kubernetes a Perfect Match Another force driving Kubernetes adoption is the rapid maturation of artificial intelligence (AI) and machine learning (ML). One growth area, in particular, Casey notes, is the natural pairing of Kuberntes with artificial intelligence (AI) and machine learning (ML), which he calls a “star duo.”
The Accidental Successful CIO
MAY 15, 2019
CIOs need to understand what they are going to do with big data Image Credit: Merrill College of Journalism Press Releases. If the person with the CIO job can find a way to find correlations in the data using techniques such as machine learning then all of sudden you can do things like predictive learning.
CIO
DECEMBER 5, 2023
54% of IT Decision Makers also expect to use cloud capabilities to leverage Artificial Intelligence (AI)/Machine Learning (ML) over the next year, which many see as a potential game changer for their industries. These ground-breaking results were published in the July edition of the scientific journal Nature.
Altexsoft
SEPTEMBER 23, 2020
It exists on the pages of peer-reviewed medical journals and research papers. Data is shipped to the database or other type of storage, where it’s transformed for future use. There have been advances in developing machine learning algorithms for diagnostics. This can be data from surveys, tests, and wearables.
Xicom
MAY 6, 2020
Today, it is the Reality integrated into many industry verticals including Education, Healthcare, Air and Space, Marketing, Travel, Automotive, Real-Estate, Journalism etc. Amid the most exciting ideas for Blockchain, apps are smart contracts, distributed cloud storage, digital voting and all. Artificial Intelligence.
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