CIO
APRIL 8, 2024
“Technology such as AI is redefining business models, requiring organizations to make the seismic shift from a novice technology organization to a mature and trusted leader,’’ says Raj Sharma, consulting vice chair at EY Americas. “As data accuracy over the past two years,’’ Vincent says.
TIBCO - Connected Intelligence
OCTOBER 27, 2020
Check out this short video to learn more about how TIBCO LABS powers the future today. Another TIBCO LABS project, Project Discover , is a process-mining solution built on the TIBCO Connected Intelligence Cloud that allows customers to discover, learn, improve, and predict process behaviors from event logs produced by operational systems.
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Apiumhub
AUGUST 12, 2021
Gema Parreño Piqueras – Lead Data Science @Apiumhub Gema Parreno is currently a Lead Data Scientist at Apiumhub, passionate about machine learning and video games, with three years of experience at BBVA and later at Google in ML Prototype. Twitter: [link] Linkedin: [link]. She started her own startup (Cubicus) in 2013.
TechCrunch
DECEMBER 1, 2020
And because of its unique qualities, video has been largely immune to the machine learning explosion upending industry after industry. But consider this: many new phones ship with a chip designed for running machine learning models, which like codecs can be accelerated, but unlike them the hardware is not bespoke for the model.
ProdOps
FEBRUARY 16, 2021
In the most recent acquisition for the company, DoiT International (DoiT), a global multi-cloud software and managed service provider with deep expertise in Kubernetes, Machine Learning, and Big Data, today announced that it has acquired ProdOps , a top provider of scalable software operations and infrastructure automation services.
CableLabs
JANUARY 18, 2024
Specialized hardware such as field-programmable gate arrays (FPGAs) and graphics processing units (GPUs) provide the computational power necessary for signal processing, 3D rendering and artificial intelligence (AI)/machine learning (ML) workloads.
Confluent
FEBRUARY 13, 2019
Rather, we apply different event planes to provide orthogonal aspects of system design such as core functionality, operations and instrumentation. This is how we think about system design and architecture. Another benefit of the event streaming systems is that we can continuously extend the functionality.
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