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Express Cloudera POV on 2021 data trends in insurance

Cloudera

We’ve written about the changes forced on the traditionally risk-averse insurance industry by COVID-19. In 2021, with the crisis hopefully fading, insurance will have time to evaluate the changes made in 2020, assessing what worked and what didn’t, and planning a new way forward rather than reacting in real time. .

Insurance 105
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Business Management Systems for Data-Driven Businesses

Smart Data Collective

Big data has become an invaluable aspect to most modern businesses. Nevertheless, many companies have been reluctant to Harvard Business Review reports that only 30% of businesses have a data strategy. However, companies with data strategies are far more successful than those without.

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

Corinium

I am the Chief Practice Officer for Insurance, Healthcare, and Hi-Tech verticals at Fractal. The Insurance practice is currently engaged with several top 10 P&C insurers in the US, across the Insurance value chain through AI, Engineering, Design & Behavioural Sciences programs.

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Why Data-Driven Outsourcing Can Be a Massive Win for Your Business

Smart Data Collective

Big data technology has been instrumental in changing the direction of countless industries. Companies have found that data analytics and machine learning can help them in numerous ways. However, there are a lot of other benefits of big data that have not gotten as much attention. Global companies spent over $92.5 Here’s why.

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How IBM and AWS are partnering to deliver the promise of AI for business

IBM Big Data Hub

In today’s digital age where data stands as a prized asset, generative AI serves as the transformative tool to mine its potential. Businesses globally recognize the power of generative AI and are eager to harness data and AI for unmatched growth, sustainable operations, streamlining and pioneering innovation.

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The 10 highest-paying industries for IT talent

CIO Business Intelligence

It’s an industry that handles critical, private, and sensitive data so there’s a consistent demand for cybersecurity and data professionals. But you’ll also find a high demand for software engineers, data analysts, business analysts, data scientists, systems administrators, and help desk technicians.

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The most valuable AI use cases for business

IBM Big Data Hub

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.