The rapid growth of data and the potential insights hidden within it have led to the development of generative AI tools that democratize data analytics, making it accessible to everyone, not just data scientists.
The challenge of too much data: The exponential growth of data presents a challenge in extracting valuable insights that can drive advancements in various fields, from healthcare to business:
- The problem lies not in the lack of information but in the overwhelming amount of data available, making it difficult to know where to start.
- Traditionally, extracting insights from data required highly skilled individuals and significant time investment.
AI’s role in data analytics: AI has proven valuable in efficiently processing large amounts of data and uncovering insights:
- For the past decade, deep learning algorithms have been used to analyze data faster than humans, identifying patterns and insights.
- AI enables the discovery of clues hidden in unstructured data, such as text, video, and sound.
- Generative AI can translate insights into easily understandable advice and instructions, as well as create and interpret visual representations of data.
Top generative AI tools for data analytics: Here are some of the most useful tools for applying generative AI to data analytics, suitable for both enthusiasts and experts:
- Alteryx: Incorporates a no-code AI studio for creating analytics apps using custom business data, with a natural language interface powered by models like GPT-4.
- Microsoft Power BI: An industry-standard analytics package enhanced with generative AI, utilizing Microsoft’s Co-Pilot technology and OpenAI models.
- Tableau Pulse: Built on Salesforce’s Einstein models, Tableau Pulse provides AI-powered insights, automated analysis, and natural language reporting.
- Qlik: Allows users to embed generative AI analytics content into reports and dashboards through its Qlik Answers assistant.
- Sisense AI: Enables the embedding of conversational analytics into BI tools and applications, automating data preparation, dashboard building, and reporting.
- Akkio: Akkio enables agencies to leverage AI for data integration, analysis, and predictive modeling without coding.
- Coefficient: Coefficient AI’s GPT Copilot is a powerful tool that seamlessly integrates live data from various business systems and enhances data analysis capabilities, making it easier for users to connect and analyze their data efficiently.
- Domo: Domo is a data experience platform that transforms business data into actionable insights through AI-powered analysis and intuitive visualizations.
- GPT for Sheets: GPT for Sheets integrates OpenAI’s GPT models into Google Sheets for data processing and content generation.
- Julius AI: Julius.ai enables users to chat with their data and obtain expert-level insights in seconds.
- Microstrategy: An entire suite of AI products for data analysis, Microstrategy enables users to discover insights in their data through a conversational UI, and allows them to create easy to use dashboards.
- MonkeyLearn: MonkeyLearn: AI-powered text analysis platform that helps businesses gain insights from customer feedback.
- Polymer: Polymer automates data analysis and visualization, enabling businesses to create clear, actionable dashboards easily.
- Pyramid Analytics: Pyramid provides a robust suite of AI tools that help with data preparation, business analytics and data science.
Generative AI Data Analytics Tools Everyone Should Know About
