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7 public health data modernization lessons from Canada’s superior COVID-19 response

IBM Journey to AI blog

Over the first three years of the COVID-19 pandemic, the US suffered over twice the deaths per capita as Canada — over 600,000 potentially avoidable deaths. This solution would later be key to Canadian public health agencies’ response to COVID-19.

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Five Ways AI Can Help States Solve Their Hardest Problems (Part 1): Enhance Crisis Response

DataRobot

Over the course of this blog series, we will address five critical ways that AI can help your state solve its hardest problems—beginning with the most immediate need facing states and localities today: crisis response. The COVID-19 pandemic gave a stark reminder to the world of the inevitability of a public health crisis.

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Selecting an IoT Platform

Dataversity

When COVID-19 threatened to derail the manufacturing industry, it was Industry 4.0 Notwithstanding the supply chain issues that continue to pose challenges, 94% of respondents in a recent McKinsey survey said that Industry 4.0 that saved many manufacturers. helped them keep their operations running during the pandemic.

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Traveling in the Age of COVID-19: Big Data Is Watching

Dataversity

With news of the first dose of a vaccine successfully administered, it appears that we might finally be seeing the beginning of the end of the COVID-19 pandemic. However, it’s also clear that the impact of the virus — and the ways we have responded to it […]. Click to learn more about author Bernard Brode.

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Building trust in the government with responsible generative AI implementation

IBM Journey to AI blog

At the end of 2023, a survey conducted by the IBM® Institute for Business Value (IBV) found that respondents believe government leaders often overestimate the public’s trust in them. All respondents had at least a basic understanding of AI and generative AI.

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Understanding context and the limitations of data

Tableau

The successes of responding to the pandemic as one data community illustrate the necessity and strength of this kind of collaboration.” - Rabah Kamal. Understanding context and the limitations of data is part two of a three-part series: Data in the time of COVID-19: What have we learned? __. “We Rabah Kamal. Kristin Adderson.

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The history of ESG: A journey towards sustainable investing

IBM Journey to AI blog

The term ESG, or environmental, social and governance , is well-known in the investor community. 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 1995, the U.S

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