Remove Blockchain Remove Fashion Remove IoT Remove Machine Learning
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Insurance Technologies: 13 Disruptive Ideas to Change Insurance Companies with Telematics, Blockchain, Machine Learning, and APIs

Altexsoft

Internal Workflow Automation with RPA and Machine Learning. Depending on the work the machine learning algorithms are going to do and regulations, it may require an explanation layer over the core ML system. Machine learning in Insurance: Automation of Claim Processing. But AI remains a heavy investment.

Insurance 130
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How Industry 4.0 Changes Predictive Maintenance From Mobile Apps And What It Means For The Future ?

OTS Solutions

Emerging Technologies in Mobile Apps for Predictive Maintenance Emerging technologies such as artificial intelligence and machine learning are being integrated into predictive maintenance mobile apps to improve their effectiveness. IoT devices can be used to collect performance data from equipment and machinery. Industry 4.0

Mobile 130
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LG announces the first 50 participants in its LG Nova program

TechCrunch

Bigthinx – AI technology focused on fashion retail, wellness and the metaverse with products for body scanning, digital avatars and virtual fashion. – AI, blockchain and optimization-based software solutions provider for smart cities, smart homes and e-mobility. The Metaverse. NeuroTrainer, Inc. I-EMS Group, Ltd.

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The Missing Link: Blockchain for Digital Supply Chains

TIBCO - Connected Intelligence

Composed of logically aligned collections of people, processes, products, and places, the digital supply chain also includes new artificial intelligence and machine learning (AI/ML) functions for predictive intelligence and a number of virtual “employees” in the form of digital twins. The foundational fabric: blockchain.

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Software Outsourcing: Why CEOs Love It

Gorilla Logic

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Create value from the Internet of Things (IoT) and connected enterprise. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more.

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What is digital transformation? A necessary disruption

CIO

They must then develop and deliver the supporting digital capabilities in an agile fashion with incremental releases and feature adjustments based on user feedback. “A Now, in 2023, companies are using analytics and intelligence capabilities as well as IoT and edge computing.

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New DBAs Are Shifting to Cloud – Who Will Manage Your On-prem Oracle Apps?

Datavail

According to RightScale’s 2019 “State of the Cloud” report, 94 percent of organizations use the cloud in some form or fashion. In addition, DBAs can take a leading role as organizations explore tech trends such as data mining and machine learning, the Internet of Things (IoT), blockchain, and social media.