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How AI and big data analytics are changing influencer marketing

Dataconomy

billion in 2021 and will reach the value of $69.92 billion by 2029, according to Data Bridge Market Research. This evolution is currently taking a new turn with the introduction of AI tools and big data analytics to the niche. No wonder, that the global influencer marketing platform market was worth $7.36

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10 AI Conferences in the USA (2025): Connect with Top AI and Data Minds

Data Science Dojo

Google I/O Dates: May 2021, 2025 Location: Mountain View, California (Shoreline Amphitheatre) Google I/O 2025 is the ultimate event to get an exclusive first look at Googles latest AI breakthroughs, software updates, and next-gen developer tools. Thats exactly what AI & Big Data Expo 2025 delivers!

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Bluesky Social Dataset (235M posts from 4M users)

Hacker News

We also make available social data covering follow, comment, repost, and quote interactions. content recommendation algorithms), we also release the full output of several popular algorithms available on the platform, along with their timestamped “like” interactions and time of bookmarking. IR0000013 – Avviso n.

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Is Data Analytics Ushering in the Modern Age of Weather Forecasting?

Smart Data Collective

In this blog, we’ll delve deeper into the impact of data analytics on weather forecasting and find out whether it’s worth the hype. Weather Forecasting in 2021: A Closer Look. That’s where data analytics steps into the picture. Big Data Analytics & Weather Forecasting: Understanding the Connection.

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5 Current Trends in Big Data for 2022 and Beyond

Smart Data Collective

The world of big data is constantly changing and evolving, and 2021 is no different. As we look ahead to 2022, there are four key trends that organizations should be aware of when it comes to big data: cloud computing, artificial intelligence, automated streaming analytics, and edge computing.

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Getir end-to-end workforce management: Amazon Forecast and AWS Step Functions

AWS Machine Learning Blog

Amazon Forecast is a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts. Calculating courier requirements The first step is to estimate hourly demand for each warehouse, as explained in the Algorithm selection section.

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Demand forecasting at Getir built with Amazon Forecast

AWS Machine Learning Blog

Getir used Amazon Forecast , a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts, to increase revenue by four percent and reduce waste cost by 50 percent. Deep/neural network algorithms also perform very well on sparse data set and in cold-start (new item introduction) scenarios.