Deep Learning Digital Transformation IoT 
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. will look like).
CIO Business Intelligence
FEBRUARY 6, 2025
Think about it: LLMs like GPT-3 are incredibly complex deep learning models trained on massive datasets. with over 15 years of experience in enterprise data strategy, governance and digital transformation. From automating tedious tasks to unlocking insights from unstructured data, the potential seems limitless.
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CIO Business Intelligence
FEBRUARY 22, 2024
With the aim to accelerate innovation and transform its digital infrastructures and services, Ferrovial created its Digital Hub to serve as a meeting point where research and experimentation with digital strategies could, for example, provide new sources of income and improve company operations.
Jet Global
AUGUST 24, 2020
In today’s digital transformation environment, companies need their solutions to evolve with them and enable real-time insight throughout an organization. iVEDiX helps harness, understand and use that data with its configurable IOT engine, powerful configuration tools and an imaginatively interactive visualization platform.
Cloudera
FEBRUARY 4, 2019
It is a key capability that will address the needs of our combined customer base in areas of real-time streaming architectures and Internet-of-Things (IoT). It meets the challenges faced with data-in-motion, such as real-time stream processing, data provenance, and data ingestion from IoT devices and other streaming sources.
bridgei2i
OCTOBER 7, 2020
As face to face contact, operating offline offices, physical audits and ancillary processes face constraints; these increasingly move to the digital bandwagon. In days ahead, digital transformation will be the saviour and guide of the industry. Images 1: Challenges before insurance in the post-Corona world.
Cloudera
SEPTEMBER 11, 2020
48% of manufacturing companies surveyed recently said they’re moving toward greater IoT integration which will allow them to better respond to real-time data and feedback and monitor broader, external datasets that they hadn’t traditionally been using. Automation opportunities. Companies are also shifting their technology investments.
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