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Automated Sales & Underwriting Strategies can Transform Insurance

bridgei2i

Many of the underlying processes in insurance which had already started evolving due to the adoption of digital and intelligent automation across functions have scaled substantially in the post-COVID world. With direct selling becoming obsolete, salespeople must fall back on digital channels, backed by a robust automated underwriting process.

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Motorbikes, Movies, and Margarita Pizza: How AI and IoT are Revolutionizing Business

bridgei2i

Although the digital transformation of enterprises may seem challenging, it is not impossible. One needs to embrace the transformation with a little patience and lots of learning to survive and thrive in the current landscape. Wealth Management for Clients. The banking sector that makes the most use of AI is wealth management.

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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 Enterprise 6.0

Cloudera

Complicating matters is the increasing focus on data protection and the far-reaching implications of IoT (e.g. You could think of it as an insight factory, your innovation environment, and the engine that powers your digital transformation. connected cars, cities, wearables, phones, etc.).

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Leading innovation in digital infrastructure for a digital and sustainable APAC

CIO Business Intelligence

Digital infrastructure, of course, includes communications network infrastructure — including 5G, Fifth-Generation Fixed Network (F5G), Internet Protocol version 6+ (IPv6+), the Internet of Things (IoT), and the Industrial Internet — alongside computing infrastructure, such as Artificial Intelligence (AI), storage, computing, and data centers.

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The Data Behind Tokyo 2020: The Evolution of the Olympic Games

Sisense

This analytics engine will process both structured and unstructured data. “We We are constantly collecting data from all kinds of different sources — whether it is a library of documents, analytics reports, pictures, or even videos,” says Chris.