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How Amazon Finance Automation built a data mesh to support distributed data ownership and centralize governance

AWS Big Data

Amazon Finance Automation (FinAuto) is the tech organization of Amazon Finance Operations (FinOps). FinAuto has a unique position to look across FinOps and provide solutions that help satisfy multiple use cases with accurate, consistent, and governed delivery of data and related services. About the Authors Nitin Arora is a Sr.

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How Big Data Analytics & AI Combined can Boost Performance Immensely

Smart Data Collective

Big data, analytics, and AI all have a relationship with each other. For example, big data analytics leverages AI for enhanced data analysis. In contrast, AI needs a large amount of data to improve the decision-making process. What is the relationship between big data analytics and AI?

Big Data 104
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insightsoftware Launches Angles Professional for Oracle to Automate Recurring Operational Reports at the Gartner Data & Analytics Summit 2023

Jet Global

Recognizing a need for better operational analytics, insightsoftware leveraged award-winning technology from Logi Analytics to provide Oracle ERP Cloud users the ability to customize, create, and share interactive dashboards and reports across all departments of a business.

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eCommerce Brands Use Data Analytics for Conversion Rate Optimization

Smart Data Collective

E-commerce businesses around the world are focusing more heavily on data analytics. billion on analytics last year. There are many ways that data analytics can help e-commerce companies succeed. Moreover, data-driven technologies like AI have proven transformative in various domains, including finance.

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Derive operational insights from application logs using Automated Data Analytics on AWS

AWS Big Data

Automated Data Analytics (ADA) on AWS is an AWS solution that enables you to derive meaningful insights from data in a matter of minutes through a simple and intuitive user interface. ADA offers an AWS-native data analytics platform that is ready to use out of the box by data analysts for a variety of use cases.

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AI-First Benefits: 5 Real-World Outcomes

Cloudera

AI has the potential to transform operations by improving three fundamental business requirements: process automation, decision-making based on data insights, and customer interaction. Inventory systems make note of what is being replenished and, with the assistance of data analytics, predict when to order more and how frequently. .

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Essential skills and traits of chief AI officers

CIO Business Intelligence

They should lead the efforts to tie AI capabilities to data analytics and business process strategies and champion an AI-first mindset throughout the organization. To that end, CAIOs must break down silos and interact with a multitude of leaders in both lines of business and supporting functions, Daly says.