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An Enterprise Data Strategy for Building the Trustworthy AI Practice

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Photo by Christina Morillo from Pexels Introduction The current decade is a time of unprecedented growth in data-driven technologies with unlimited opportunities.

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How To Create A Marketing Strategy Using Artificial Intelligence?

Analytics Vidhya

Introduction In today’s data-driven world, the role of marketing in businesses has become more complex than ever before. This article will explore […] The post How To Create A Marketing Strategy Using Artificial Intelligence? appeared first on Analytics Vidhya.

Marketing 270
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Data Scientist’s Insights: Strategies for Innovation and Leadership

Analytics Vidhya

Introduction Welcome back to the success story interview series with a successful data scientist and our DataHour Speaker, Vidhya Chandrasekaran! In today’s data-driven world, data scientists play a crucial role in helping businesses make informed decisions by analyzing and interpreting data.

Strategy 281
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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. I suggest that the simplest business strategy starts with answering three basic questions: What? These changes may include requirements drift, data drift, model drift, or concept drift.

Strategy 289
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MLOps 101: The Foundation for Your AI Strategy

Why do AI-driven organizations need it? How can MLOps help data science teams, business leaders, and IT professionals build a resilient and scalable foundation for their AI initiatives? Download this comprehensive guide to learn: What is MLOps? What are the core elements of an MLOps infrastructure?

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Three Emerging Analytics Products Derived from Value-driven Data Innovation and Insights Discovery in the Enterprise

Rocket-Powered Data Science

I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.

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Are You Content with Your Organization’s Content Strategy?

Rocket-Powered Data Science

What attributes of your organization’s strategies can you attribute to successful outcomes? Seriously now, what do these word games have to do with content strategy? Specifically, in the modern era of massive data collections and exploding content repositories, we can no longer simply rely on keyword searches to be sufficient.

Strategy 266