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What Does Real-time Really Mean In Data Analytics?

insideBIGDATA

In this contributed article, Paige Roberts, Open Source Relations Manager for Vertica by OpenText, works to demystify real-time data analytics: understanding definitions, categories, and strategies for unlocking value in the data-driven era.

Analytics 370
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AI-Powered Project Management: Insights into Generative AI’s Growing Influence

Data Science Dojo

Recent findings from a Capterra survey underscore this trend, revealing that 93% of project managers saw a positive return on investment from AI tools last year, with only a minimal 8% of companies not yet planning to adopt AI technologies. It is not a question of whether AI will help project managers achieve better results.

AI 195
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Implementation of Gaussian Naive Bayes in Python Sklearn

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Consider the following scenario: you are a product manager who wants to categorize customer feedback into two categories: favorable and unfavorable.

Python 309
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AI-powered CRM: Unleashing the power of smart customer management

Data Science Dojo

Customer relationship management or CRM refers to a system that manages all customer interactions for any business. Hence, it is a data-driven system to improve customer service and ensure a personalized engagement experience for customers. Hence, enhancing the effectiveness of customer relationship management.

AI 195
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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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It’s time to shelve unused data

Dataconomy

Data archiving is the systematic process of securely storing and preserving electronic data, including documents, images, videos, and other digital content, for long-term retention and easy retrieval. While we were talking about a data-driven future about 10 years ago, today we are perhaps laying the foundations of this future.

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LLMOps demystified: Why it’s crucial and best practices for 2023

Data Science Dojo

From data management to model fine-tuning, LLMOps ensures efficiency, scalability, and risk mitigation. LLMOps, which stands for Large Language Model Ops, encompasses the set of practices, techniques, and tools employed for the operational management of large language models within production environments. What is LLMOps?

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How to Build Data Experiences for End Users

Organizational data literacy is regularly addressed, but it’s uncommon for product managers to consider users’ data literacy levels when building products. Product managers need to research and recognize their end users' data literacy when building an application with analytic features.