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Predictive Analytics: 4 Primary Aspects of Predictive Analytics

Smart Data Collective

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These statistical models are growing as a result of the wide swaths of available current data as well as the advent of capable artificial intelligence and machine learning.

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AI Tools Make Short-Selling Possible with Algorithmic Trading

Smart Data Collective

Artificial intelligence is driving a number of changes in the financial sector. It refers to trading based on pre-programmed instructions accounting for critical variables such as timing, price, and volume. We pointed out that AI has created new opportunities for investors purchasing real estate stocks.

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Top 17 Real-Life Predictive Analytics Use Cases

Marutitech

Predictive analytics refers to the use of machine learning algorithms and statistics to predict future outcomes and performances. Key Industries : Banking, Pharmaceutical, Automotive, Retail, Insurance, Telecommunications, Utilities. 4. Key Industries : Health sectors, Pharmaceuticals. Next Best Action. Risk Modeling.

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McKesson: Using Big Data to Improve Care and Save Lives

Sisense

a leading pharmaceutical distributor that delivers IT services to healthcare providers — has deftly altered its business in the recent past to integrate big data analytics and cloud computing into its existing infrastructure. In the healthcare sector, McKesson Corp. — Joining hands with Genpact for white-collar automation.

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What is AI Visual Inspection for Defect Detection? : A Deep Dive

Marutitech

Artificial intelligence is a key differentiator for businesses, with numerous applications in almost every domain. AI can enable systems to make intelligent decisions based on past data, from deciding which products customers might like best to identifying potential medical problems before they escalate into emergencies.