Generative AI technology is revolutionizing the way data analytics is done by enabling anyone, not just data scientists, to make data-driven decisions. With the exponential growth of data in the world, there are valuable insights hidden within that can help in various areas such as healthcare, energy, and business growth. The challenge now is not the lack of information, but rather the overwhelming amount of data available and not knowing where to start.
AI has been instrumental in extracting insights and value from data by quickly crunching numbers, identifying patterns, and uncovering insights. Generative AI takes this a step further by translating these insights into easily understandable advice and instructions, as well as creating graphs, charts, and statistics. This has opened up opportunities for individuals with varying levels of expertise in data analytics to leverage AI for their data analysis needs.
Several tools are available for applying generative AI to data analytics, catering to both amateur and expert users. Alteryx offers a user-friendly platform for creating custom analytics apps and generating predictive insights. Microsoft Power BI harnesses the power of generative AI through Microsoft’s Co-Pilot technology and models developed with OpenAI, making it suitable for large enterprise workloads. Tableau Pulse uses Salesforce’s Einstein models for AI-powered insights, aimed at facilitating data-driven decision-making and productivity improvement.
Qlik enables users to embed generative AI analytics content into their reports and dashboards through its Qlik Answers assistant, particularly useful for analyzing large volumes of unstructured data. Sisense allows for conversational analytics integration into BI tools and applications, catering to users of various expertise levels. Additionally, there are other generative AI data analytics tools like Akkio, Coefficient, Domo, and ThoughtSpot that offer predictive modeling, natural language interaction, and automated insights generation, making data analytics more accessible and efficient.
As more generative AI-powered analytics tools emerge, individuals and organizations have a wide range of options to choose from to enhance their data analytics capabilities. These tools leverage the power of AI to provide quick, accurate, and actionable insights from complex data sets, enabling users to make informed decisions and drive success in various fields. Generative AI is truly democratizing data by making advanced analytics tools accessible to a broader audience, ultimately transforming the way data is analyzed and utilized.
