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Automated Claims Processing: Using RPA and Machine Learning to Manage Insurance Claims

Altexsoft

To compete, insurance companies revolutionize the industry using AI, IoT, and big data. And when it comes to decision-making, it’s often more nuanced than an off-the-shelf system can handle — it needs the understanding of the context of each particular case. The insurance industry is notoriously bad at customer experience.

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AI in Short-Term Rentals: How Machine Learning Shapes STR

Altexsoft

This includes learning, reasoning, problem-solving, perception, language understanding, and decision-making. The key terms that everyone should know within the spectrum of artificial intelligence are machine learning, deep learning, computer vision , and natural language processing.

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Review of Industrial IoT Solutions – Part I

Perficient

The basic flow of data can be summarize like so: Events are emitted by IoT devices over OPC-UA or MQTT to a local broker. Industrial IoT (IIoT) solution overview diagram. The second, more modern option is MQTT, now available on most IoT devices and certain industrial equipments. Introduction. Solution Overview. Data Collection.

IoT 69
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Deep tech startups in need of funding should consider federal grants

TechCrunch

Xipeng Shen is a professor at North Carolina State University and ACM Distinguished Member, focusing on system software and machine learning research. CoCoPIE’s vision is to enable real-time AI for off-the-shelf mobile devices. He is a co-founder and CTO of CoCoPIE LLC. We’re a group of Ph.D.s economic impact.

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NJ Transit creates ‘data engine’ to fuel transformation

CIO

Collectively, the agencies also have pilots up and running to test electric buses and IoT sensors scattered throughout the transportation system. NJ Transit’s digital infrastructure has come a long way since Lookman Fazal took the top tech post more than three years ago. We have shown out value,” Fazal says of the transformation. “We

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AI-First Benefits: 5 Real-World Outcomes

Cloudera

In a retail operation, for instance, AI-driven smart shelf systems use Internet of Things (IoT) and cloud-based applications to alert the back room to replenish items. Artificial intelligence (AI) has been a focus for research for decades, but has only recently become truly viable. Benefits aplenty. Faster decisions . Error reduction.

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7 data trends on our radar

O'Reilly Media - Ideas

In a recent O’Reilly survey , we found that the skills gap remains one of the key challenges holding back the adoption of machine learning. For most companies, the road toward machine learning (ML) involves simpler analytic applications. Sustaining machine learning in an enterprise.

Trends 85