Articles about Predictive Analytics

A new anti-fraud tool from Jumio uses predictive analytics and AI to look at billions of data points across the company's cross-industry network to identify patterns based on behavioral similarities and other indicators.

Jumio's analysis shows that 25 percent of fraud is interconnected, either being perpetrated by fraud rings or by individuals using the same information or credentials to open new accounts on banking sites, eCommerce platforms, sharing economy sites, etc.

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When it comes to data analytics, most organizations have historically focused primarily on descriptive and diagnostic capabilities. Descriptive analytics explains what is happening in an IT system and uses analysis levers including analyzing trends, mining patterns, and detecting changes and anomalies. Diagnostic analysis encompasses functions including critical path analysis, bottleneck analysis, fault propagation models, and root-cause analysis to explain why something is happening in the system.

With an increased focus on instrumentation and observability, allied to significant advances in AI, enterprises are now looking beyond simply what happened and why, and seeking to apply advanced intelligence to draw valuable predictive insights from data. IT leaders are looking for insights that can inform them about what is likely to happen in the future and how to prepare for it, for example:

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In the age of data, recruitment is undergoing a seismic shift. Predictive analytics is at the forefront of this revolution, supporting talent acquisition with data-driven insights while facilitating more precise decision-making than ever before. But what is predictive analytics and how exactly can it enhance your recruitment processes?

Predictive analytics (PA), simply put, uses historical data to forecast future outcomes. In recruitment, predictive analytics is like having a crystal ball that provides insights into hiring lead times, future employment needs, potential employee performance, and retention rates.

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Seventy-one percent of logistics companies in the U.K. saw an increase in transportation costs in the first quarter of 2022 when compared to the same period in 2021. Forty percent of companies surveyed reported that the costs had risen by nearly 25 percent.

Enterprises are battling rising shipping costs in a hyper competitive market with an eye on providing end users with top-class consumer experiences. It’s a balancing act that leaves companies walking on a tightrope, trying to juggle between cost and consumer expectations.

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