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Indian government asks genAI developers to self-regulate

CIO Business Intelligence

Instead of the government acting as a watchdog, it aims to strike a balance between fostering innovation and mitigating potential risks associated with AI technologies. Akshara Bassi, senior analyst at Counterpoint, weighed in on the implications for AI model developers. Artificial Intelligence, Generative AI, Government, Regulation

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Mastercard preps for the post-quantum cybersecurity threat

CIO Business Intelligence

We’re working proactively to mitigate the future risks related to quantum computing that could impact the security of the billions of digital transactions we process globally,” says George Maddaloni, chief technology officer of operations at Mastercard, explaining the impetus for the project. Designing the test was also challenging.

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Self-Serve Analytics Supports Continuous Improvement!

Smarten

McKinsey recently surveyed 2000 businesses and found that 83% of high-tech/media/telecom, 76% of banking, and more than 50% of consumer companies identified as continuous improvement organizations. There is good reason for these results.

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The history of ESG: A journey towards sustainable investing

IBM Big Data Hub

1 Slowly but surely, institutional investors started to recognize that companies could potentially improve financial performance and risk management by focusing on ESG issues like greenhouse gas emissions. The signatories committed to working together to help achieve the UN’s SDGs—a pledge that would be put to the test come 2020.

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Gartner D&A Summit Bake-Offs Explored Flooding Impact And Reasons for Optimism!

Rita Sallam

Qlik Key Findings: In the US alone, there’s $367 billion in agricultural commodities at risk to flooding in the US alone. A large part of under-developed Asian countries ranging from Bangladesh to Vietnam are at high risk of flooding events. In 2000, the Netherlands had 8.5 million people at risk of catastrophic, flooding.

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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. A further example of human tragedy due, in part, to faulty manual processes is the Hatfield rail crash, which was a railway accident in October 2000, at Hatfield, Hertfordshire.

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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.