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The history of ESG: A journey towards sustainable investing

IBM Big Data Hub

It refers to a set of metrics used to measure an organization’s environmental and social impact and has become increasingly important in investment decision-making over the years. In response, asset managers began to develop ESG strategies and metrics to measure the environmental and social impact of their investments.

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What a quarter century of digital transformation at PayPal looks like

CIO Business Intelligence

We grew hand in hand with eBay and have continued to do so after separating in 2015.” This also allows us to have the best in terms of global technology, fraud mitigation and prevention, and cybersecurity measures in all markets, all while complying with local regulations and compliance requirements.”

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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

datapine

According to the US Bureau of Labor Statistics, demand for qualified business intelligence analysts and managers is expected to soar to 14% by 2026, with the overall need for data professionals to climb to 28% by the same year. The Bureau of Labor Statistics also states that in 2015, the annual median salary for BI analysts was $81,320.

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Operationalizing responsible AI principles for defense

IBM Big Data Hub

But it’s equally important that they have a deep understanding of the risks and limitations of AI and how to implement the appropriate security measures and ethics guardrails. Note: These measures of responsibility must be interpretable by AI non-experts (without “mathsplaining”).

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Becoming a Fintech: Capital One’s Move from Mainframes to the Cloud

CIO Business Intelligence

A few years ago, the leadership realized that the banking industry is going to be dominated by great tech companies that manage risk exceptionally well. Risk management was always one of the core foundations of the company. How do you measure the data platform’s ROI and what are the results you’re seeing with Cassandra?

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Themes and Conferences per Pacoid, Episode 6

Domino Data Lab

Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. The ability to measure results (risk-reducing evidence). Friction ensued. Instead, it’s a matter of applying science as a process.

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Making intelligent automation work at scale

CIO Business Intelligence

Spreading the news Telecom provider AT&T began trialing RPA in 2015 to decrease the number of repetitive tasks, such as order entry, for its service delivery group. Another benefit is greater risk management. Track, measure, and reuse.