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OpenAI Prepares for Ethical and Responsible AI

Analytics Vidhya

This comprehensive strategy mainly aims to measure and forecast potential risks associated with AI development. OpenAI, the renowned artificial intelligence research organization, has recently announced the adoption of its new preparedness framework.

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Get More out Your CRM: Tips for Better Sales Forecasting

Jedox

However, forecasting or predicting how much your customers want to buy or how well a business would perform in the future was much more difficult to achieve way back then. But what about forecasting? As CRM has evolved, many vendors included sales forecasting functionalities in their tools. Let your CRM work its magic.

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Modular architecture drives productivity and risk management at Gilbane

CIO Business Intelligence

Our analytics capabilities identify potentially unsafe conditions so we can manage projects more safely and mitigate risks.” You have to forecast this to your executive team and continue to remind them of why we’ve chosen this strategy. As a construction company, Gilbane is in the business of managing risk.

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Should I Stay or Go? Migrating to AI-Enabled Applications

David Menninger's Analyst Perspectives

Waiting too long to start means risking having to play catch-up. AI-enabling on-premises software is preferable where there is some combination of incurring less disruption to operations, faster time to value, lower risk of failure and lower total cost of ownership relative to migrating to the cloud.

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How to Manage Risk with Modern Data Architectures

Cloudera

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.

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Reclaiming the stories that algorithms tell

O'Reilly on Data

His system was needed because “beginning teachers and librarians” were less expert at “forecasting comprehension rates” than the algorithm was. The report has pages of careful caveats, but in the end it treats these risk-adjusted ratios as a good measure of a surgeon’s performance. Credit scores.

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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

Regulations and compliance requirements, especially around pricing, risk selection, etc., How can advanced analytics be used to improve the accuracy of forecasting? The use of newer techniques, especially Machine Learning and Deep Learning, including RNNs and LSTMs, have high applicability in time series forecasting.

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