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Making Remarkable Energy Grids a Reality

CIO Business Intelligence

In 2020, just 29% of the world’s electricity came from renewable sources. [2] Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Just starting out with analytics?

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4 Tips for Processing Real-Time Data

CIO Business Intelligence

Real-time Analytics: The amount of real-time data in the global datasphere will grow from 9.5 zettabyes in 2020 to 51 zettabytes in 2025. On-Premises Requirements for Sensitive Data. One approach to consider is to migrate data to the public cloud. Just starting out with analytics?

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Shopping with Fraud Protection and Adaptive Artificial Intelligence

CIO Business Intelligence

The amount of money lost to card-not-present fraud in 2020 was six times greater than what merchants lost in 2019, according to the Nilson Report. Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI).

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Your 5-Step Journey from Analytics to AI

CIO Business Intelligence

Data about customers, supply chains, the economy, market trends, and competitors must be aggregated and cross-correlated from myriad sources. . But the sheer volume of the world’s data is expected to nearly triple between 2020 and 2025 to a whopping 180 zettabytes. Just starting out with analytics?

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Preventing Next-Generation Fraud with Graph Database Technology

CIO Business Intelligence

Given that New Day issued 19% of new credit cards in the UK In 2020, they are a prime target for application fraud. Their legacy databases could not analyze the volumes of data fast enough to block fraudulent activities without negatively impacting their responsiveness. . Just starting out with analytics?

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Top 10 Analytics Trends for 2019

Timo Elliott

2019 is the year that analytics technology starts delivering what users have been dreaming about for over forty years — easy, natural access to reliable business information. We’ve reached the third great wave of analytics, after semantic-layer business intelligence platforms in the 90s and data discovery in the 2000s.