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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. It is a predictable economic risk. Amazon’s advertising business is a case in point.

Risk 221
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How generative AI can help finance and accounting professionals

IBM Big Data Hub

Whether you’re a CFO, an accountant, a financial analyst or a business partner, artificial intelligence (AI) can help improve your finance strategy, uplift productivity and accelerate business outcomes. Our experts at IBM Consulting are taking a comprehensive look at generative AI for F&A and considering the need to balance risks.

Finance 61
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How Big Data Impacts The Finance And Banking Industries

Smart Data Collective

Nowadays, terms like ‘Data Analytics,’ ‘Data Visualization,’ and ‘Big Data’ have become quite popular. In this modern age, each business entity is driven by data. Data analytics are now very crucial whenever there is a decision-making process involved. The Role of Big Data. The Underlying Concept.

Big Data 141
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ANZ Bank’s Advances Data-Driven Analytics With Cloudera

Cloudera

The bank offerings include standard deposit and lending services, credit cards, wealth management, agribusiness finance and insurance, and foreign exchange services for other financial institutions. The EBD platform supports more than 10 internal and customer-facing groups with their Data Operations and Data Discovery requirements.

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AI Can Amplify Benefits and Temper Risks of Bitcoin Investing

Smart Data Collective

AI-driven trading systems like Immediate Edge have made trading easier than ever. The software uses multiple market parameters and critical market data to break down and analyze market movements. AI-driven technology can help if you are willing to invest in predictive analytics. The Risk to Reward Is Skewed.

Risk 124
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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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Benefits of Using Data Analytics in Equipment Financing

Smart Data Collective

Data analytics technology has touched on virtually every element of our lives. More companies are using big data to address some of their biggest concerns. Securing financing is a huge example. Data analytics technology is helping more companies get the financing that they need for a variety of purposes.

Finance 101