10 Revolutionary AI Tools Every Digital Team Should Use in 2024

In 2024, AI tools will become indispensable for digital teams aiming to optimise their data analytics and decision-making processes.

Here's a look at some of the most innovative AI tools available:

1. Polymer
   • Description: An intuitive BI tool for creating stunning data visualisations and comprehensive dashboards without coding.
   • Ideal for: All team sises in an organisation, from marketing to sales and operations.
   • Use Cases: Top-performing channel identification, customer trend analysis and performance tracking.
   • Cost: Free 14-day trial available; pricing details not specified.
2. Tableau
   • Description: A data visualisation platform that allows interactive data interaction without coding.
   • Ideal for: Teams of all sises, especially those needing real-time dashboard modifications.
   • Use Cases: Database analysis, real-time reporting.
   • Cost: Pricing details not specified.
3. MonkeyLearn
   • Description: A no-coding platform with AI data analysis features for text analysis and data visualisation.
   • Ideal for: Teams needing quick text analysis and data categorisation.
   • Use Cases: Text classification, data extraction.
   • Cost: Pricing details not specified.
4. Microsoft Power BI
   • Description: A business intelligence platform for data sorting and visualisation.
   • Ideal for: Teams needing extensive data import options and AI-powered analysis.
   • Use Cases: Report creation, machine learning model development.
   • Cost: Pricing varies, often at a higher price point.
5. Coefficient
   • Description: Connects ChatGPT to Google Sheets, enabling AI functionalities in spreadsheets.
   • Ideal for: Teams looking for AI integration in familiar spreadsheet environments.
   • Use Cases: Data analysis automation, real-time insights.
   • Cost: Free solution.
6. AnswerRocket
   • Description: AI data analytics platform for business users, enabling natural language queries.
   • Ideal for: Business users without technical skills for report generation.
   • Use Cases: Automated analysis, ad hoc question answering.
   • Cost: Pricing details not specified.
7. Bardeen.ai
   • Description: Connects SaaS and website data for automated data analysis.
   • Ideal for: Companies of all sizes for marketing and sales automation.
   • Use Cases: Website data scraping, data source synchronisation.
   • Cost: Pricing details not specified.
8. IBM Cognos Analytics
   • Description: Integrated self-service solution for data access and dashboard creation.
   • Ideal for: Teams needing real-time insights and business intelligence.
   • Use Cases: Automated pattern detection, natural language query.
   • Cost: Pricing details not specified.
9. Qlik (Qlik Sense)
   • Description: Combines data sources for unified analytics and visualisation.
   • Ideal for: Organisations needing a unified DataOps environment.
   • Use Cases: Data exploration, real-time analytics.
   • Cost: Qlik Sense Business at $30/month billed annually.
10. ChatGPT
    • Description: AI large language model for generating human-like text responses.
    • Ideal for: Wide range of applications in data analytics.
    • Use Cases: Code writing for data transformation and natural language processing.
    • Cost: Basic plan free; ChatGPT Plus at $20/month.

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