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eCommerce Brands Use Data Analytics for Conversion Rate Optimization

Smart Data Collective

billion on analytics last year. There are many ways that data analytics can help e-commerce companies succeed. One benefit is that they can help with conversion rate optimization. By leveraging these tools, you can better understand your website visitors and make informed decisions to optimize your conversion rate further.

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Don’t Blink: You’ll Miss Something Amazing!

Cloudera

We can also increase effectiveness of preventative maintenance — or move to predictive maintenance — of equipment, reducing the cost of downtime without wasting any value from healthy equipment. We can get to faster root-cause analysis and become proactive instead of reactive to changes in markets, business operations, and customer behavior.

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P&G turns to AI to create digital manufacturing of the future

CIO Business Intelligence

The digital transformation of P&G’s manufacturing platform will enable the company to check product quality in real-time directly on the production line, maximize the resiliency of equipment while avoiding waste, and optimize the use of energy and water in manufacturing plants. Smart manufacturing at scale is a challenge.

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6 Case Studies on The Benefits of Business Intelligence And Analytics

datapine

For example, in regards to marketing, traditional advertising methods of spending large amounts of money on TV, radio, and print ads without measuring ROI aren’t working like they used to. Ultimately, business intelligence and analytics are about much more than the technology used to gather and analyze data.

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Reflections on the Data Science Platform Market

Domino Data Lab

Before we get too far into 2019, I wanted to take a brief moment to reflect on some of the changes we’ve seen in the market. In 2018 we saw the “data science platform” market rapidly crystallize into three distinct product segments. Reflections. The three segments that have crystallized are: Automation tools. Automation Tools.

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How to choose the best AI platform

IBM Big Data Hub

Major cloud infrastructure providers such as IBM, Amazon AWS, Microsoft Azure and Google Cloud have expanded the market by adding AI platforms to their offerings. This unified experience optimizes the process of developing and deploying ML models by streamlining workflows for increased efficiency.

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Join DataRobot at Big Data & AI Paris 2022

DataRobot Blog

This year, DataRobot has collaborated on workshop and technology sessions with our partners and customers Octo, Matmut and CPAM to share practical knowledge about AI in organizations operating in the French market. Learn from DataRobot Customer Sessions at Big Data & AI Paris. Join these top sessions at Big Data & AI Paris.