Remove 2019 Remove Analytics Technologies Remove Data Quality Remove Machine Learning
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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. Machine learning everywhere. Embedded analytics accelerates. Cloud analytics adoption skyrockets.

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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. That wasn’t a fluke either, as the 2019 numbers were four times higher than 2018. Using artificial intelligence (AI) and machine learning, more than 1.9

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Why Financial Services Firms are Championing Natural Language Processing

CIO Business Intelligence

Those numbers represent the projected growth of chatbot interactions among banking customers between 2019 to 2023 and the cost savings from 862 hours less of work by support personnel, according to research by Juniper Research. Just starting out with analytics? Ready to evolve your analytics strategy or improve your data quality?

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Cloudera Data Science Workbench: where innovation meets security, compliance and scale on the road to industrialized AI

Cloudera

Gartner states that “By 2022, 75% of new end-user solutions leveraging machine learning (ML) and AI techniques will be built with commercial instead of open source platforms” ¹. Spoiler alert: it’s not because data scientists will stop relying on open source for the latest innovation in ML algorithms and development environments.