nextwealthindia
For AI and ML models to give accurate results, training data is very important as it is the foundation on which any machine learning model is built. Although we require hundreds, thousands, or millions of data points for building efficient machine learning models, we wouldn’t need more than a few hundred or less people to develop AI to suit each requirement.
We gather relevant and qualitative data & provide assured delivery of data using Data Collection, Data Extraction, Data Deduplication & Data Digitization.
We enrich and make your data valuable using Structured Data, Natural Language Processing and Computer Vision for E-Commerce and Retail Companies,
Sometime, by the end of the first decade of the 21st century, we humans were already contributing to machine learning unassumingly. Me and you, along with millions of unsuspecting users worldwide, digitized the entire Google Books archive by the start of 2012. I assure you, I am not fibbing. If you remember, during the early 2000’s, internet users worldwide were shown an image of a text, with one or two words, which had to be typed out correctly to be able to proceed further. This was a way of identifying that the user was, in fact, human, and not a machine trying to extract sensitive information from the website. This was partially true. However, the other part to this exercise was that only one of the two “Captcha” words shown were actually part of the test. The other, was an image of a word taken from a not yet transcribed book. In effect, unknowingly we have all contributed to preparing data for machine learning (ML).
Catalog Cleansing service by NextWealth Data enablement Company in India
The data in a catalogue could be outdated, incorrect, or incomplete. We use our expertise in retail and ecommerce to help our customers clean up the database. We also help them make it consistent with industry standard identification codes like UPC and MPN.
Though Conversational AI solutions, also known as chatbots, have been around for a long time, it is very important to use humans to validate the response. Validation of the response needs a good understanding of the domain and specific needs of customers. At Nextwealth, we have delivered Conversational AI validation for various vertical solutions like Banking, Insurance, Healthcare and many more.
Deep learning algorithms need to be trained with large amount of annotated data from the multiple sensors. This data could come in from driving a car-LiDAR Annotation for ADAS
This brings us to the two challenges that the ADAS industry faces today. The first is the sheer magnitude of data. For example, the 1 million kilometers of data will translate to around 600 million LiDAR frames to be annotated. Assuming around 15 to 20 objects to be annotated per frame, this will translate to around 10 billion+ annotations to be done!
Save the back-office operation cost by adopting emerging technology in identity verification solutions, business process support, medical coding service and more.
NextWealth's NLP services enhance AI capabilities of Machine Learning models to derive better intent classification and entity extraction.NextWealth’s next generation NLP services enhance AI capabilities of Machine Learning models to derive better insights by appropriate labelling, recognizing and classifying emotional information.
