First natural language-powered machine learning platform

2 min read

Obviously AI has developed a no-code platform that it claims will put the power of machine learning and analytics in the hands of non-technical business users, this solution can enable anyone to access crucial information and data predictions, simply by asking questions in natural language.

According to the company, based in Berkeley, California, this solution can enable anyone to access crucial information and data predictions, simply by asking questions in natural language.

The no-code tool has been designed to be easy to use with results on any query returned in under a minute. Users simply upload their dataset from CSV, databases or CRMs and then get a Google-like search bar to ask a question in natural language.

For predictive questions, such as “Which customers are likely to cancel their subscriptions?” the platform will understand what the user is asking, find the right data, and build a machine learning algorithm on the fly. It will also show the user exactly what factors drove their results. Similarly, the platform can answer analytical questions that look for existing patterns in data, such as “What is the average daily foot traffic for my retail stores?” Users do not need any familiarity with writing complex SQL queries or working with programming languages to code regressions, neural networks and other ML algorithms.

“We realized that business users truly cared about getting decision making insights about their customers, products and its usage. This often meant writing frustrating SQL queries and waiting on web engineers who would try to figure out machine learning algorithms,” said Nirman Dave, Co-founder and CEO, Obviously AI. “That’s why we have been on a mission to make data science effortless just by asking questions. It’s amazing what marketers, salespeople and other non-technical business users can learn when they use our platform.”

Obviously AI uses state-of-the-art natural language processing to break apart a question, interpret it and find the right data. Then it runs hundreds of machine learning algorithms in parallel and evaluates each one for accuracy to find the right algorithm for your dataset. Finally, it identifies top attributes that impact the outcome you are trying to predict and delivers highly accurate reports in under a minute.

According to the company, analytics is equally simple: input a dataset, and ask a natural language question. Obviously AI will understand the question, find the right data and visualize it graphically. Outputs can be exported into presentations or more closely analysed.

“The predictions come faster than any other tools – literally in less than a minute and with incredible accuracy,” said Dave.

The platform is intended for a range of small and medium businesses or small departments of larger companies that don’t have a data science team or cannot scale one.

Use cases include: retail, healthcare, insurance, banking and gaming.