Analytics Vidhya

DECEMBER 2, 2023

Introduction In data science, where innovation meets opportunity, the demand for skilled professionals continues to skyrocket. Data science is not merely a career; it’s a gateway to solving complex problems, driving innovation, and shaping the future. With the industry witnessing an annual growth rate exceeding 36%, a career in data science promises both financial rewards […] The post 15 Guided Projects to Sharpen Your Data Science Skills appeared first on Analytics Vidhya.

Data Science 372

Data Science Analytics IT Forecasting 372

Smart Data Collective

DECEMBER 2, 2023

Big data and AI technology have created a number of major changes in recent years. The proliferation of tools like MidJourney and ChatGPT have has disrupted the marketing profession in ways that were unimaginable just a year ago.

Big Data 104

Big Data Marketing Reporting Technology 104

Analytics Vidhya

DECEMBER 2, 2023

Introduction In the rapidly evolving landscape of data science, vector databases play a pivotal role in enabling efficient storage, retrieval, and manipulation of high-dimensional data. This article explores the definition and significance of vector databases, comparing them with traditional databases, and provides an in-depth overview of the top 15 vector databases to consider in 2024. […] The post Top 15 Vector Databases that you Must Try in 2024 appeared first on Analytics Vidhya.

Data Science 302

Data Science Analytics 302

Smart Data Collective

DECEMBER 2, 2023

We have talked about some of the biggest changes that AI technology has created in recent years. Countless industries have been impacted by ChatGPT and other forms of AI technology. The healthcare sector is among the biggest impacted by advances in AI. Demand for AI in healthcare is growing around 40% a year.

Technology 92

Technology 92

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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