Remove industries financial-services
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Google Cloud Helps Macquarie Bank Enhance AI-Banking Capabilities

Analytics Vidhya

Macquarie’s Banking and Financial Services Group has joined forces with Google Cloud to harness the power of artificial intelligence (AI) and machine learning (ML) in an exciting collaboration to revolutionize the banking industry.

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Data Errors in Financial Services: Addressing the Real Cost of Poor Data Quality

TDAN

Data quality issues continue to plague financial services organizations, resulting in costly fines, operational inefficiencies, and damage to reputations. Key Examples of Data Quality Failures — […]

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Redefining customer experience: How AI is revolutionizing Mastercard

CIO Business Intelligence

In an era where technology reshapes entire industries, I’ve had the privilege of leading Mastercard on an extraordinary journey. As more AI innovations come to market, financial institutions can leverage the technology for enhanced services, increased efficiency, and new ways to deliver and manage products.

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Beginner’s Guide to AutoML with an Easy AutoGluon Example

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Machine Learning is popular and is being used everywhere for applications ranging from financial services to healthcare, marketing & advertising to manufacturing. Almost all industries seem to derive substantial benefit using some form of Machine Learning.

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Connect, Care, Convert: Secrets to Establishing Trust with Niche Markets and Turning Them Into Clients

Speaker: Lynnette Khalfani-Cox, The Money Coach®

Niche markets represent a huge opportunity for the financial services industry in America. From college students and women to communities of color and low-to-moderate-income households, niche populations have specialized financial needs – but they often underutilize many valuable financial products and services.

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Accelerating AI for financial services: Innovation at scale with NVIDIA and Microsoft

CIO Business Intelligence

Always on the cusp of technology innovation, the financial services industry (FSI) is once again poised for wholesale transformation, this time with Generative AI. Financial institutions have an unprecedented opportunity to leverage AI/GenAI to expand services, drive massive productivity gains, mitigate risks, and reduce costs.

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Step-by-Step Guide to Becoming a Data Analyst in 2023

Analytics Vidhya

Corporations across all industries have invested significantly in big data, establishing analytics departments, particularly in telecommunications, insurance, advertising, financial services, healthcare, and technology. Introduction Data analytics is a field filled with promise.

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Up Your Analytics Game: How to Empower People to Take Action

Speaker: Tom Davenport, President’s Distinguished Professor of Information Technology and Management, Babson College

HR leaders in Financial Services are adopting the use of data and analytics faster than many other business functions and job roles. In fact, in a recent survey of 450 Financial Services professionals, 95% of respondents agreed that better integration of HR and Finance data was a top priority for the year.

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How to Operationalize Data From Multiple Sources to Deliver Actionable Insights

Speaker: Speakers from SafeGraph, Facteus, AWS Data Exchange, SimilarWeb, and AtScale

Data and analytics leaders across industries can benefit from leveraging multiple types of diverse external data for making smarter business decisions. You’re invited! Data and analytics specialists from AWS Data Exchange and AtScale will walk through exactly how to blend and operationalize these diverse data external and internal sources.