Light Information Systems, a leading AI NLP startup, announced an upgrade to their flagship platform, NLPBots. The NLPBots V2 enables businesses and SI/ITES companies to easily automate key processes and conversations with various stakeholders across enterprise functions.
The platform now comes loaded with advanced semantic understanding of unstructured and structured data, auto disambiguation, advanced UI configuration and CPU training. The versatility of the platform makes it possible for end to end automation of various key processes like hiring, customer support etc.
It can also provide insights for marketing and sales. For example, in hiring the algorithms itself will read and rank resumes and engage with potential candidates and schedule the shortlisted ones for an interview. Earlier this year, Light Information Systems was duly recognized as NASSCOM’s AI game changer for their innovative applications with AI.
Companies today have multiple bots employed within their enterprise system. On an ongoing basis, a typical chatbot requires manual curation of copious amounts of data, pre-processing and classifying according to intent, as well as training the system using GPUs to ultimately deploy a model for one specific use case. This is not only a highly cumbersome process, but also one with many challenges such as high turnaround time, below average accuracies and an operational overhead of manual interventions and change management on a regular basis.
With the NLPBots V2, enterprises can now receive tactical as well as strategic advantage of technologies like artificial intelligence and natural language processing. The advanced UI configuration enables creation of new use cases on the fly thus ensuring hassle free scalability of the use cases.
Following NLPBots V1 launch in December 2017, Light Information Systems has onboarded over 25 marquee clients and partners in its roster, including companies like Tata Communications, Persistent Systems, Edelweiss Financial Services, etc. Their client base spans across BFSI, Manufacturing, Pharma, Automobile, Telecom sectors.