Fri.Jul 29, 2022

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How ML Model Explainability Accelerates the AI Adoption Journey for Financial Services

KDnuggets

Explainability and good model governance reduce risk and create the framework for ethical and transparent AI in financial services that eliminates bias.

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Can BigQuery, Snowflake, and Redshift Handle Real-Time Data Analytics?

Rockset

Enterprise data warehouses (EDWs) became necessary in the 1980s when organizations shifted from using data for operational decisions to using data to fuel critical business decisions. Data warehouses differ from operational databases in that while operational transactional databases collate data for multiple transactional purposes, data warehouses aggregate this transactional data for analytics.

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Online Training and Workshops with Nvidia

KDnuggets

Learn about the Nvidia Self-Paced Online Training from their Deep Learning Institute.

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Driving Success With a Modern Data Architecture and a Hybrid Approach in the Financial Services and Telco Industries

Cloudera

Corporations are generating unprecedented volumes of data, especially in industries such as telecom and financial services industries (FSI). Many organizations are hoping to leverage these massive amounts of data by investing heavily in big data solutions – solutions that they hope can meet business goals such as increasing customer satisfaction, uncovering alternative revenue streams, or improving operational efficiency.

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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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The Good and the Bad of Hadoop Big Data Framework

AltexSoft

What does it take to store all New York Times articles published between 1855 and 1922? Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. The biggest star of the Big Data world, Hadoop was named after a yellow stuffed elephant that belonged to the 2-year son of computer scientist Doug Cutting.

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