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With the evolution of LLMs and AI models, tools and applications that support data science and analytics are seeing significant development. With AI powered tools and no code platforms, the simple usage of these applications are pushing them for wider adoption. While the traditional roles of data scientists may see a shift, the new AI tools will complement them in their day to day work. By automating repetitive and unwanted tasks, time is better utilised for productive work which ultimately saves cost.
Here is a list of 5 AI tools for Data Science and Analytics:
1. ProbeAI
Known as the “AI Copilot for Data Analysts,” ProbeAI helps in a variety of tasks that simplifies the work of data analysts. It avoids time-consuming, repetitive tasks and automates parts of the workflow. Some of the tasks include auto-generation of complex SQL codes, identifying relevant tables for your questions, optimising and fixing SQL codes. It supports databases such as MongoDB, MySQL, PostgreSQL, snowflake, Google Big Query and Amazon RedShift.
Source: Product Hunt
2. ObviouslyAI
Obviously AI builds no code AI models for businesses. The tools help in multifunctions such as data cleaning, model selection, hyper parameter tuning, model deployment and management. It can even help in predicting fraudulent transactions. In a previous interview with AIM, CEO of Obviously AI, Nirman Dave, said that the tool will not replace data scientists and will accelerate the data science process.
3. Relevance AI
RelevanceAI is a platform that assists users to analyse and visualise unstructured data effortlessly without the need of coding skills. Some of the functions that can be executed on the platform are automated categorization, AI workflows, semantic search that helps users to categorise and analyse text, images and audio. The platform also helps with use cases, market research, customer experience, analytics and insights.
4. MonkeyLearn
A no-code text analytics platform, is designed to help businesses to visualize customer feedback. The platform is built on machine learning models, with a range of pre-trained classifiers and extractors. The platform simplifies data and pulls insights in an easy understandable format. The platform has been used by different domains and a few of their clients include Dell, Freshly, MoxiWorks, and others.
Source: MonkeyLearn
5. IBM Cognos Analytics with Watson
Considered an AI Copilot for businesses, the ‘IBM Cognos Analytics with Watson’ is a Business Intelligence solution tool that has AI capabilities integrated. It helps in cleaning data, interpreting them and producing data visualisations. It helps with predictive analysis and can forecast the future of any business. You can import data from CSV files and spreadsheets, and can connect to data sources such as SQL databases, Google BigQuery, Amazon, Redshift, etc.
