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How to Optimize ROI Using Customer Lifetime Value?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. The post How to Optimize ROI Using Customer Lifetime Value? Introduction Customers are the most important driver of growth and the foundation of every business. More customers translate into higher revenues and better profitability in the long run.

ROI 246
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3 Concrete Ways to Drive AI ROI

Dataiku

But it’s not enough to implement data science and AI use cases. They also must bring real-world, tangible return on investment (ROI) for the business. With Generative AI in the picture, there has never been more pressure (especially from the board room and business leaders) to invest in AI.

ROI 98
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CIOs eager to scale AI despite difficulty demonstrating ROI, survey finds

CIO Business Intelligence

Another challenge is the critical shortage of skilled professionals that, according to Gugnani, makes it challenging and costly for companies to hire and retain talent in machine learning, data science, and AI integration. Upskilling existing staff to manage AI technologies requires significant time and financial investment.

ROI 125
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At a loss for data project ROI? Evaluate it like a product

CIO Business Intelligence

In 2006, British mathematician Clive Humby proclaimed, “Data is the new oil.”. He and his wife, Edwinna Dunn, own Dunnhumby, a global customer data science company that helped Tesco create its Clubcard, the world’s first supermarket loyalty card. A framework for data project ROI.

ROI 115
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MLOps 101: The Foundation for Your AI Strategy

Machine Learning Operations (MLOps) allows organizations to alleviate many of the issues on the path to AI with ROI by providing a technological backbone for managing the machine learning lifecycle through automation and scalability. Download this comprehensive guide to learn: What is MLOps?

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Why Measuring ROI for AI Is an Art, Not a Science

Dataiku

When it comes to calculating the return on investment (ROI) of data science, machine learning, and AI projects, there’s a lot to unpack. Are you measuring ROI gained from a data platform or a series of data initiatives themselves?

ROI 68
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Learn to deliver fast ROI with data science

IBM Big Data Hub

IBM Data Science Experience was designed to kick-start and rapidly scale data science projects, fitting any deployment needs in a multicloud environment.