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Finding the ‘good’ in 2020 and beyond

Cloudera

I think we can all agree that it would be nice to have some good news in 2020, which is why the Data for Good category in this year’s Cloudera Impact Awards is such a pertinent one. The awards program is an annual corporate competition celebrating game-changing data-implementation projects.

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Get Ready For These Six 2020 Business Intelligence Trends

Smart Data Collective

More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. Here are the six trends you should be aware of that will reshape business intelligence in 2020 and throughout the new decade.

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Can AI Slash the Costs of Accounting Errors in 2020?

Smart Data Collective

Machine learning is helping companies in every sector optimize their business models. Fortunately, new big data technology can address all of them. Big data has made creating custom accounting software easier than ever. Towards Data Science published a blog post discussing similar research on the topic.

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Redefining clinical trials: Adopting AI for speed, volume and diversity

IBM Big Data Hub

For instance, the FDA released guidance in November 2020 titled, “Enhancing the diversity of clinical trial populations.” Optimize protocols using historical and synthetic data Complex and stringent protocols are notorious for delaying clinical trials and eroding patient engagement.

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2020 MLB Free Agency Predictions

DataRobot Blog

We believe the history of player performance and free agent signings from prior years has the predictive power to tell us how this off-season will happen, and we put that data to work through AI (artificial intelligence) and machine learning. To do this, we built a series of models that predict the key outcomes of contract negotiations.

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

DataRobot

Many available forecasts provide less than four weeks notice at the state and county level. Additionally, these forecasts often miss surges in community transmission until it is too late to change course. Traditional predictive models do not account for anomaly detection on data reporting issues (e.g.,

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Optimizing clinical trial site performance: A focus on three AI capabilities

IBM Big Data Hub

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. AI can also empower trial managers and executives with the data to make strategic decisions. To do so they require data, which is in no shortage.