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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

In summary, Insurance carriers and brokers will need to ensure a sound data foundation and a smart use of the cloud to harness the value of the large amounts of disparate types of data. Analytics is a powerful capability enabler to help Insurers transform their operations and services. What differentiates Fractal Analytics?

Insurance 250
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Machine Learning Transforms Life Insurance Beyond the Actuarial Process

Smart Data Collective

The market for data analytics in the insurance sector is projected to be worth nearly $22.5 Many of the applications of big data for insurance companies will be realized with machine learning technology. Claims management : Data analytics and machine learning are particularly helpful with insurance claims management.

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USPTO takes human-first approach to AI innovation

CIO Business Intelligence

Like many insights-driven organizations, the United States Patent and Trademark Office (USPTO) leverages data analytics and technologies such as AI and machine learning (ML) to increase the efficiency and performance of its operations and to improve the quality of systems and processes.

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9 Ways Location Data Can Help You Excel in Retail

Smart Data Collective

One of the secrets to attracting and retaining customers is to become more data-centric. trillion in 2019? According to many surveys, more than 90% of retail organizations across a wide range of sectors feel location data is crucial to their success. The retail industry is expanding all the time.

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The future of casino marketing strategy is digital plus data

BizAcuity

From 2009 to 2019, in a span of 10 years, the United States tripled its gross gaming revenue from $34.3 The casino operators are expected to face known challenges of rising competition, decreasing ROI, and a high churn rate. ROI is sacrosanct for a casino business. No ROI, no investment. billion to almost $100 billion.

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Will Predictive Analytics Help Forecast Profitable IPOs for Stock Traders?

Smart Data Collective

In 2019, Forbes published an article showing that machine learning can increase productivity of the financial services industry by $140 billion. Of course, the ROI is a priority for every investor to some extent. Machine learning has drastically changed the direction of the financial industry.

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Data – the Octane Accelerating Intelligent Connected Vehicles

Cloudera

billion in 2019, and is projected to reach $225.16 The goal is to define, implement and offer a data lifecycle platform enabling and optimizing future connected and autonomous vehicle systems that would train connected vehicle AI/ML models faster with higher accuracy and delivering a lower cost. scalability, ROI, and success.