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Highlights from the Strata Data Conference in San Francisco 2019

O'Reilly on Data

Winners of the Strata Data Awards 2019. Watch " Winners of the Strata Data Awards 2019.". Forecasting uncertainty at Airbnb. Theresa Johnson outlines the AI powering Airbnb’s metrics forecasting platform. Theresa Johnson outlines the AI powering Airbnb’s metrics forecasting platform.

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Life2vec AI Can Accurately Predict Your Death!

Analytics Vidhya

Life2vec, a neural network model, is at the forefront of predictive medicine, leveraging AI to analyze health data and forecast health-related outcomes. This revolutionary model, an extension of Stanford’s Word2vec algorithm from 2019, has shown significant promise in transforming healthcare.

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Key Data Trends And Forecasts In The Energy Sector

Smart Data Collective

Corporations need data to forecast the market’s future and the recent drop in the price of fossil fuels have invigorated alternative energy projects globally. According to a report by Capgemini from 2019, up to $813 billion is feasible if we integrate the necessary tech. Using Data to Understand the Future. Effects of Analytics.

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5 reasons the enterprise data center will never die

CIO Business Intelligence

In 2019, Gartner analyst Dave Cappuccio issued the headline-grabbing prediction that by 2025, 80% of enterprises will have shut down their traditional data centers and moved everything to the cloud. The forecast anticipates strong growth through 2028, with spending expected to be near $378 billion, at a double-digit rate.

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Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

ln this post he describes where and how having “humans in the loop” in forecasting makes sense, and reflects on past failures and successes that have led him to this perspective. Our team does a lot of forecasting. It also owns Google’s internal time series forecasting platform described in an earlier blog post.

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Will Predictive Analytics Help Forecast Profitable IPOs for Stock Traders?

Smart Data Collective

In 2019, Forbes published an article showing that machine learning can increase productivity of the financial services industry by $140 billion. A lot of experts have talked about the benefits of using predictive analytics technology to forecast the future prices of various financial assets , especially stocks.

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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

How can advanced analytics be used to improve the accuracy of forecasting? The use of newer techniques, especially Machine Learning and Deep Learning, including RNNs and LSTMs, have high applicability in time series forecasting. What are you most looking forward to about CDAOI Insurance 2019?

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