Acronyms
Sales, Marketing, and Technology Acronyms and Abbreviations. Jump to acronyms beginning with the number or letter:
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MLOps
A discipline that combines the principles of DevOps with the unique needs of machine learning (ML) systems. It focuses on automating, standardizing, and monitoring the full machine learning lifecycle—spanning data…
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MLR
Refers to the process where content, often related to pharmaceutical marketing, is reviewed by professionals in the medical, legal, and regulatory fields to ensure that it complies with industry standards…
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MLR
Also known as Marketing Lead Ratio, MLR measures and analyzes how marketing leads are responded to and converted into sales or desired actions. MLR helps marketers understand the effectiveness of…
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MLR
The process of obtaining approval for marketing materials or communications from the Marketing, Legal, and Regulatory (MLR) departments within an organization. MLR approval is crucial in regulated industries, such as…
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MLS
A database of real estate properties for sale in a specific geographic area. The MLS is used by real estate professionals such as agents and brokers to share information about…
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MMA
A global trade organization dedicated to advancing and shaping the future of marketing through mobile and emerging technologies. Founded in 2000, the MMA brings together marketers, technology providers, media companies,…
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MMA
Refers to software solutions that automate and personalize marketing communications on mobile devices. By tying together customer data, behavior tracking, and rule-based workflows, MMA enables brands to engage audiences through…
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MMLU
An advanced concept in artificial intelligence (AI) that integrates multiple forms of data input, such as text, images, audio, and possibly others, to enhance the understanding and processing of language.…
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MMM
Also known as Marketing Mix Analysis or Marketing Mix Attribution, MMM is a statistical and analytical approach used by businesses to measure the impact of their marketing activities on sales…
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MMMU
A type of machine learning (ML) approach that involves training models on multiple tasks across different modalities. This approach combines multi-task learning (where a model is trained on several tasks…
