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How Big Data And AI Are Aiding The Fight Against Pandemics

Acuvate

What offers solace though is the fact that we are now in possession of powerful data analytics tools and AI technology that helps us surveil an outbreak, predict its spread and in turn minimise its impact. This raw data is then analyzed with machine learning algorithms to identify patterns and trends.

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The Essential Role of HR Technology

Business and Tech

New “big data” applications are emerging that allow organizations to specify needed skill sets and understand where the talent that possesses those skills is located (and the availability of that talent). Similar compensation data helps organizations assess the economic viability of full-time versus contract employment.

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Understanding the Innovation Landscape needed for Enabling Technologies in the World’s Energy Transition

Paul Hobcraft

IRENA serves as the primary platform for international co-operation, be a center of excellence and a repository of policy technology, resource, and financial knowledge on renewable energy. Artificial Intelligence and Big Data. Behind-the-meter batteries. Electric-vehicle smart charging. Internet of Things.

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How a Big Data Strategy Can Fight Insurance Fraud

mjvinnovation

At the same time, insurers have also understood that they need a Big Data strategy for various purposes. Continue reading and understand how Big Data can help insurers avoid headaches and financial damage! What is Big Data. ” Real Time Big Data. ” Real Time Big Data.

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Daniel Burrus’ Top 20 Technology-Driven Hard Trends Shaping 2018 and Beyond

Daniel Burrus

1 Artificial Intelligence (AI), Advanced Machine Learning and Cognitive Computing Applications. 3 Big Data and the Use of High-Speed Data Analytics. Big data” is a term that describes the technologies and techniques used to capture and utilize exponentially increasing streams of data.

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Advanced Analytics For Insurance Industry: 6 Major Use Cases

Acuvate

Advanced analytics helps to mine through big data for actionable insights which can be used for a plethora of business use cases. The company predicted the probability of drivers having incidents by integrating telematics and tachograph infringement data with weather data and harnessing the data set with machine learning.

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7 Top Business Intelligence Trends to Watch for in 2019 and Beyond

Acuvate

Natural language with machine learning enables BI systems to gain a deeper understanding of the organization based on its data as well as the types of questions their users ask. Users will be able to use natural language to have conversations with the data visualisations without the need to rephrase questions.

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