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

Smart Data Collective

Weather forecasting technology has grown from strength to strength in the last few decades. Gone are the days when you had to wait for the local news channel to share the weather forecasts for the next day. Instead, you’ve got access to a broad spectrum of valuable weather data right at your fingertips.

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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

How to make smarter data-driven decisions at scale : [link]. The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. A lot has changed in those five years, and so has the data landscape. But if they wait another three years, they will never catch up.”

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Advanced Data Analytics for the Smart Retailers

BizAcuity

Current trends show retailers experimenting with emerging technologies like Predictive Analytics and IoT. Demand forecasting: Several businesses use demand forecasting to stay prepared and ahead of unprecedented market challenges. The future of retailing: Big Data Analytics for omnichannel retail and logistics.

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Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

Combined, it has come to a point where data analytics is your safety net first, and business driver second. Gaming companies use AI for segmenting players and predicting churn rates in order to retain them through effective campaigns. Integrating IoT and route optimization are two other important places that use AI.

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Best Ways to Integrate Big Data into Your Business

Smart Data Collective

Social media, blogging, and microblogging are all essential communication data sources. A fresh photo, a text message, or a search query contributes to the growing volume of big data. IoT Sensors generate IoT data. Smart devices use sensors to collect data and upload it to the Internet.

Big Data 101
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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

You simply choose the data source you want to analyze and the column/variable (for instance, revenue) that the algorithm should focus on. Then, calculations will be run and come back to you with growth/trends/forecast, value driver, key segments correlations, anomalies, and what-if analysis.

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PepsiCo transforms for the digital era

CIO Business Intelligence

To date the company has moved 5,000 applications to Microsoft Azure as it applies predictive analytics , AI, robotics, and process automation in many of its business operations. The company is also refining its data analytics operations, and it is deploying advanced manufacturing using IoT devices, as well as AI-enhanced robotics.