Warwick Analytics has launched a disruptive new approach to text analytics. ‘MaaS’ (Models-as-a-Service) is a quick, easy and low-cost way to apply AI to text to get powerful automated insight.
MaaS provides a shortcut to getting started with text analytics AI. Existing models are provided for specific industries and use cases which can be fine-tuned or used standalone.
Until now ‘AI-based Text Analytics’, the use of machine learning to classify text, has been cited as an expensive solution requiring data scientists to craft bespoke models for datasets.
Warwick Analytics is best known for its AI text platform PrediCX that can generate accurate machine learning models without the need for a data scientist. It is this ‘human-in-the-loop’ technology that has enabled them to create MaaS, a disruptively low-cost AI solution. For as little as a few hundred dollars per month, a model can generate predictive insight that other analytics costing ten times the price can’t deliver.
Models are available across multiple industries such as restaurants, hotels, leisure, banking, insurance, retail, ecommerce, CPG, transportation, manufacturing, utilities and healthcare. Use cases for each industry range from identifying root causes of churn and loyalty, predicting sales of new products, predicting marketing effectiveness, finding root causes of brand equity, as well as automation use cases for CRM and helpdesks. The datasets can vary too from social media posts and reviews to surveys and CRM notes and contacts.
Warwick Analytics will continue to expand the range of models and is happy to ‘build for free’ for new customers who have new challenges or datasets.
To demonstrate the effectiveness of MaaS, Warwick applied it to publicly available data in different industries to identify key insight and savings. In one example MaaS found one leading UK telco (O2) could automate 45% of the Tweets, chats and direct messages into its contact center, as well as identifying easily-addressable root causes of churn and customer purchase difficulties worth millions of pounds per year. In another example MaaS looked at addressable root causes of churn for Expedia and the savings were estimated at over $5m per year. When looking at TripAdvisor reviews for TGI Fridays churn and loyalty root causes, not previously found by one of the other leading text analytics provider, were identified. The number of churners identified was 10 times higher with a much higher precision rate of 88% versus 54%.
Dan Somers, the CEO of Warwick Analytics comments: “We are delighted to launch MaaS. Not only is it exciting to bring tangible financial benefits to customers with actionable analytics and automation, but it is a privilege to help disrupt the market in a positive way, removing some of the ivory towers of data science and smashing some of the myths and claims. Democratizing data science means that data scientists still do the ultra-cool stuff and get the credit they deserve, whilst for everyone else in both large enterprise and smaller companies, they get transparent, powerful, cost-effective tools to make their businesses customers happier and their businesses more profitable.”