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Case Study – Augmented Analytics for a Financial Services Group in India

Smarten

The client is one of the leading financial services groups in India. They offer Equity, Commodity, and Currency brokering services as well as depository participant services. This client services over one million customers through its extensive network spreading over 500 cities in India and key overseas locations.

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End-to-End Case Study: Bike Sharing Demand Prediction

Analytics Vidhya

Introduction Bike-sharing demand analysis refers to the study of factors that impact the usage of bike-sharing services and the demand for bikes at different times and locations. The purpose of this analysis is to understand the patterns and trends in bike usage and make predictions about future demand.

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The Art of Data Buck-Passing 101: Mastering the Blame Game in Data and Analytic Teams

DataKitchen

The Art of Data Buck-Passing 101: Mastering the Blame Game in Data and Analytic Teams Welcome, dear readers, to the hallowed halls of Data Buck-Passing University, where the motto is “ Per Alios Culpa Transfertur ” (Blame is Transferred to Others). From interns to the cloud service provider, nobody is safe.

Analytics 190
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Corinium acquires RE•WORK

Corinium

MONDAY, 6 SEPTEMBER 2021 – Corinium Global Intelligence (“Corinium” or “the Group”), the global B2B information service provider of events and market intelligence company, has announced its acquisition of RE•WORK today. RE•WORK is the leading events provider for deep learning as well as applied AI.

B2B 435
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How Banks Are Winning with AI and Automated Machine Learning

Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Brought to you by Data Robot.

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Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1

AWS Big Data

The volume of time-sensitive data produced is increasing rapidly, with different formats of data being introduced across new businesses and customer use cases. It aims to provide a framework to create low-latency streaming applications on the AWS Cloud using Amazon Kinesis Data Streams and AWS purpose-built data analytics services.

Analytics 109
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Announcing the AWS Well-Architected Data Analytics Lens

AWS Big Data

We are delighted to announce the release of the Data Analytics Lens. Using the Lens in the Tool’s Lens Catalog, you can directly assess your Analytics workload in the console, and produce a set of actionable results for customized improvement plans recommended by the Tool. What’s new in the Data Analytics Lens?

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How Banks Are Winning with AI and Automated Machine Learning

Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Brought to you by Data Robot.