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.
Recent Stories
DOE fusion roadmap targets 2030s commercial deployment as AI drives $9B investment
The Department of Energy has released a new roadmap targeting commercial-scale fusion power deployment by the mid-2030s, though the plan lacks specific funding commitments and relies on scientific breakthroughs that have eluded researchers for decades. The strategy emphasizes public-private partnerships and positions AI as both a research tool and motivation for developing fusion energy to meet data centers' growing electricity demands. The big picture: The DOE's roadmap aims to "deliver the public infrastructure that supports the fusion private sector scale up in the 2030s," but acknowledges it cannot commit to specific funding levels and remains subject to Congressional appropriations. Why...
Oct 17, 2025Tying it all together: Credo’s purple cables power the $4B AI data center boom
Credo, a Silicon Valley semiconductor company specializing in data center cables and chips, has seen its stock price more than double this year to $143.61, following a 245% surge in 2024. The company's signature purple cables, which cost between $300-$500 each, have become essential infrastructure for AI data centers, positioning Credo to capitalize on the trillion-dollar AI infrastructure expansion as hyperscalers like Amazon, Microsoft, and Elon Musk's xAI rapidly build out massive computing facilities. What you should know: Credo's active electrical cables (AECs) are becoming indispensable for connecting the massive GPU clusters required for AI training and inference. The company...
Oct 17, 2025Vatican launches Latin American AI network for human development
The Vatican hosted a two-day conference bringing together 50 global experts to explore how artificial intelligence can advance peace, social justice, and human development. The event launched the Latin American AI Network for Integral Human Development and established principles for ethical AI governance that prioritize human dignity over technological advancement. What you should know: The Pontifical Academy of Social Sciences, the Vatican's research body for social issues, organized the "Digital Rerum Novarum" conference on October 16-17, combining academic research with practical AI applications. Participants included leading experts from MIT, Microsoft, Columbia University, the UN, and major European institutions. The conference...