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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. Are there test cases they have to pass, or assurances given on level of testing and support?”

Testing 124
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How Big Data Impacts The Finance And Banking Industries

Smart Data Collective

Financial institutions such as banks have to adhere to such a practice, especially when laying the foundation for back-test trading strategies. A 2013 survey conducted by the IBM’s Institute of Business Value and the University of Oxford showed that 71% of the financial service firms had already adopted analytics and big data.

Big Data 141
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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. 6] Debugging may focus on a variety of failure modes (i.e., Sensitivity analysis.

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Drug Discovery Needs AI To Discover More Treatments

Smart Data Collective

Phase 0 is the first to involve human testing. Phase I involves dialing-in the proper dosage and further testing in a larger patient pool. In a report on the failure rates of drug discovery efforts between 2013 and 2015, Richard K. Researching and developing new drugs involves multiple steps called “Phases.”

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Schrodinger’s Automation in AI and the Automation Bias

Jen Stirrup

Automation and the history of the 'blame game' Technology is often touted as the solution to automating and correcting errors in human behaviour, reducing risk. In the UK, one recent example is the Post Office Horizon system was poorly implemented and badly tested. One example was the Piper Alpha disaster which occurred in 1988.

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Big Data’s Role In Childbirth And Maternal Death In The US

Smart Data Collective

Maternal mortality rates in the United States jumped over 25% between 2000 and 2013. Predictive analysis is also being deployed to better help understand a mother’s risks when giving birth. Predictive analysis will reduce pregnancy risks by allowing doctors to be able to predict potential patient issues when giving birth.

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10 Big Data Examples Showing The Great Value of Smart Analytics In Real Life At Restaurants, Bars, and Casinos

datapine

In 2017 the company wanted to take its shopping experience one step further by creating an augmented reality app that allowed users to test a product without having to leave their homes. In 2013, they took a slight risk and introduced a veggie smoothie to their previously fruit-only smoothie menu. Behind the scenes.

Big Data 244