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To understand the risks posed by AI, follow the money

O'Reilly on Data

It’s difficult to argue with David Collingridge’s influential thesis that attempting to predict the risks posed by new technologies is a fool’s errand. However, there is one class of AI risk that is generally knowable in advance. We ought to heed Collingridge’s warning that technology evolves in uncertain ways.

Risk 221
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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

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The CFO’s role in the age of generative AI

IBM Big Data Hub

Despite the headwinds, there are tailwinds in which we can use new technology to enable CFOs to perform in their business partnering roles and drive productivity, cost take out, accuracy, control and business value. Read the report: CEO’s guide to AI in finance Unlocking the value CFOs are not expected to be technology experts.

Finance 74
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How to improve your finance operation’s efficiency with generative AI

IBM Big Data Hub

While you may have learned about generative artificial intelligence (AI), you may not know what it means for the future of Finance and Accounting (F&A). As the name suggests, it generates images, music, speech, code, video or text, while it interprets and manipulates preexisting data.

Finance 64
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A Beginner’s Guide to Data-Driven Investing Strategies

Smart Data Collective

Big data has been an invaluable contribution to our daily lives. We have started relying on big data to research new products, improve our experience online and make a number of other improvements. One of the biggest benefits of big data has been in the field of investing.

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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. They also need to understand the vitality of quality data for AI success, as well as governance frameworks to ensure responsible and ethical use of AI.

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6 Reasons That Data-Driven Email Verification Is Absolutely Critical

Smart Data Collective

Big data is playing a very key role in the future of email communications. A growing number of companies are finding more innovative ways to use data technology to streamline communications and build more personalized relationships between various stakeholders. Big Data is Making Email Verification Much Easier.