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How AI is Lowering the Barrier to Entry for BI and Analytics

Birst BI

The mainstream arrival of Artificial Intelligence (AI) brings with it the potential to finally meet the demand for actionable, enterprise-wide, fact-based decision making. Historically, business users have been presented with dashboards that describe the current state of a KPI, i.e. Net Profitability, Customer Retention, and more.

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Birst Smart Analytics: Using AI to Operationalize BI

Birst BI

A business user simply selects a KPI of interest, and machine learning algorithms run automatically across all data points that are related to generate the key reasons “why” a KPI is trending upward or downward. Birst was at the forefront of leveraging advanced automation and machine learning.

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What AI Means to a Data Scientist

Birst BI

A key goal of AI or machine learning automation is to have machines complete tasks for you, freeing up time so you can focus on the more complex, higher-value tasks. Data scientists building AI applications require numerous skills – data visualization, data cleansing, artificial intelligence algorithm selection and diagnostics.

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ChatGPT for Product Managers: 13 Best Prompts

Userpilot

In this article, we unlock the best ChatGPT prompts to elevate your product management process. TL;DR The machine learning-powered ChatGPT can help product managers generate ideas, conduct market and user research , analyze data (app store reviews, user feedback, etc.), create content, and more.

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