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Highlights from the Strata Data Conference in San Francisco 2019

O'Reilly on Data

Elizabeth Svoboda explains how biosensors and predictive analytics are being applied by political campaigns and what they mean for the future of free and fair elections. Forecasting uncertainty at Airbnb. Theresa Johnson outlines the AI powering Airbnb’s metrics forecasting platform. Data warehousing is not a use case.

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Leveraging Data Science To Grow And Manage Your Team

Smart Data Collective

Although widely used, keyword scanning software alone simply doesn’t generate sufficient success metrics when sifting through candidate resumes. Even though you may hit it off with a candidate in an interview and be impressed with their resume, that doesn’t necessarily mean they’re the right fit for your business. Retaining staff.

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 10: COVID-19 | Evolving Trends of Digital Transformation

bridgei2i

This is probably the first time ever that we are witnessing a demand, a supply, and also a resource uncertainty. Effectiveness, which is, how can any form of digital information help us drive business metrics. Vignesh: Ganesh, you really highlighted some very important themes. These are strange times. And all at the same time.

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Data Science, Past & Future

Domino Data Lab

You know, case in point, if you were to talk about predictive analytics 20 years ago, the main people in the field would have laughed you out of the room. Predictive analytics, yeah, not so much.” They learned about a lot of process that requires that you get rid of uncertainty. How could that make sense?

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Themes and Conferences per Pacoid, Episode 10

Domino Data Lab

Clearly, when we work with data and machine learning, we’re swimming in those waters of decision-making under uncertainty. Then calculate the variance divided by the mean to construct a metric for noise in decision-making. For kicks, try calculating this kind of metric within your own organization. Worse than flipping a coin!

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Promising Benefits of Predictive Analytics in Asset Management

Smart Data Collective

One of the biggest is that more financial institutions are using predictive analytics tools to assist with asset management. Predictive Asset Analytics, Riskalyze and Altruist are some of the tools that use predictive analytics to improve asset management for both individual and institutional investors.

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What’s Top of Mind for CFOs Heading into 2024

Jet Global

If any one word could encapsulate 2023, it would be “uncertainty.” Cash metrics and liquidity show a company’s ability to weather financial challenges and satisfy its short-term obligations, both attractive qualities for investors during uncertain economic times.

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