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Why you should care about debugging machine learning models

O'Reilly on Data

1] This includes C-suite executives, front-line data scientists, and risk, legal, and compliance personnel. These recommendations are based on our experience, both as a data scientist and as a lawyer, focused on managing the risks of deploying ML. Currency amounts reported in Taiwan dollars. Sensitivity analysis.

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Many C-suite execs have lost confidence in IT, including CIOs

CIO Business Intelligence

Less than half of C-level executives believe their IT organizations are effectively delivering basic services, compared to about two-thirds with confidence in 2013, according to a survey recently released by the IBM Institute for Business Value. The drop was the largest among the CEOs surveyed. Confidence also fell among CFOs.

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Can Predictive Analytics Help Traders Navigate Bitcoin’s Volatility?

Smart Data Collective

Last summer, a report by Deloitte showed that more CFOs are using predictive analytics technology. The good news is that predictive analytics technology can reduce risk exposure for these investors. They can still minimize the risks by using predictive analytics strategically. For further information explore quantum code.

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India’s advisory on LLM usage causes consternation

CIO Business Intelligence

The ministry’s reaction, in the form of an advisory issued Friday, has attracted criticism from India’s IT sector because of the restrictions it places on innovation and the compliance risk it places on some enterprises. Similarly, ChatGPT’s FAQ page also warns it may provide incorrect responses and invites users to report them.

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What is BCBS 239 Compliance?

Octopai

BCBS 239 is a document published by that committee entitled, Principles for Effective Risk Data Aggregation and Risk Reporting. The document, first published in 2013, outlines best practices for global and domestic banks to identify, manage, and report risks, including credit, market, liquidity, and operational risks.

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Drug Discovery Needs AI To Discover More Treatments

Smart Data Collective

In a report on the failure rates of drug discovery efforts between 2013 and 2015, Richard K. Without better methodology, difficult-to-treat and ill-understood conditions and diseases are at risk of staying that way. Unfortunately, a substantial number of clinical trials fails in these two Phases.

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Big Data Joins The Fight Against Traumatic Brain Injuries

Smart Data Collective

One report shows that the global market for big data in healthcare is expected to reach $68.75 The CDC reports that the incidents of admissions for these types of injuries rose around 54% between 2006 and 2014. The software uses predictive analysis to be able to predict the patient’s risk of brain pressure rising before it even occurs.

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