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Predicting GDP With Google Trends: The OECD Weekly Tracker

Dataiku

As we saw in the first blog post of the Dataiku AI Lab’s ML Research in Practice series, we'll once again observe how the Lab assists the machine learning (ML) community in academia and develops solutions to aid everyone on their data journey.

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Out-of-Distribution Detection in the Age of Transformers

Dataiku

Check out our previous blogs on predicting performance drop under domain shift and predicting GDP with Google Trends if you haven’t already! Next up in our ML Research in Practice series, we’ll discover another way that the Dataiku AI Lab supports the academic machine learning (ML) community.

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Nigerian data and intelligence company Stears raises $3.3M, backed by Mac VC and Serena Ventures

TechCrunch

Last month, it was one of the 60 startups to get accepted into the Google for Startups Black Founders Fund 2022 cohort, which included some non-dilutive funding. Macro trends and topics like GDP and inflation drive content on Stears Premium. This news is coming two years after Stears raised $650,000 in pre-seed funding.

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AI in Banking- How Artificial Intelligence is Used in Banks

Openxcell

The application of AI is powering various platforms like Amazon, Myntra, and Netflix to fuel them with web search engines like Google Search. c) Beyond risk management and safeguarding from fraudulent threats, AI analyzes market trends by offering valuable insights to detect loan and credit card default risks.

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More Clouds And Snowflakes In The Forecast—Tech Trends To Watch In 2021 (Exit Edition)

Battery Ventures

in force early last year, walloping the economy and stock market, I don’t think many tech investors could have predicted the situation we find ourselves in now. Here are some predictions: Cloudier skies ahead. When the coronavirus first hit the U.S. We should all be mindful of that and use our resources to help.

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How Retailers Use Artificial Intelligence to Innovate Customer Experience and Enhance Operations

Altexsoft

We help retailers with a variety of their challenges, including better inventory prediction using their point-of-sale data combined with external factors such as weather, local events, and economic uncertainty. percent higher prediction accuracy compared to the existing system. data is analyzed. “We Voice product search and purchase.

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Price Forecasting: Applying Machine Learning Approaches to Electricity, Flights, Hotels, Real Estate, and Stock Pricing

Altexsoft

Besides travel, price predictions find their application in various scenarios. The article describes the steps to build a price prediction solution and implementation examples in four industries. Price prediction can be formulated as a regression task. Predictive analytics. What is price forecasting and how is it done.