Remove Deep Learning Remove Digital Transformation Remove IoT Remove Visualization
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Ferrovial puts AI at the heart of its transformation

CIO Business Intelligence

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.

IT 105
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iVEDiX Inc. Extends Alliance with insightsoftware to Deliver Best-in-Class Support For Longview Analytics Customers in North America

Jet Global

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.

IoT 80
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Adoption of Automated Sales & Underwriting Strategies can Transform Insurance

bridgei2i

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.

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Introducing Cloudera DataFlow (CDF)

Cloudera

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.

IoT 74
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Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

Integrating IoT and route optimization are two other important places that use AI. Enterprise Artificial intelligence (AI) is a common jargon used to refer to how an organization integrates artificial intelligence (AI) into its infrastructure to drive digital transformation. AI in Healthcare. Artificial Intelligence Analytics.

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Themes and Conferences per Pacoid, Episode 7

Domino Data Lab

O’Reilly Media had an earlier survey about deep learning tools which showed the top three frameworks to be TensorFlow (61% of all respondents), Keras (25%), and PyTorch (20%)—and note that Keras in this case is likely used as an abstraction layer atop TensorFlow. The data types used in deep learning are interesting.