How we enable you to work effectively with AI/ML/NLP algorithms
Most company heads agree that Artificial Intelligence (AI)/Machine Language (ML)/Natural Language Processing (NLP) can improve their business process efficiencies by improving algorithms and rightly directed automation practice. But they have practical concerns viz.
How can I use it in my day today life? Will it work properly? Where will I get the data to train and make the AI algorithms work effectively? To begin with, artificial intelligence is to develop human intelligence in a machine. ML and NLP is, in fact, a branch of AI. AI process replicates the human brain so that we can train these neural nets to do certain tasks at a percentage of greater than or equal to 98%. Neural nets are a replica of the human brain.
When we say that we make the algorithms for AI/ ML/ NLP, we mean we augment and improve the system. We enable the algorithms to work effectively and efficiently by training it on a large data set basis according to the variety and attributes required. We do thorough research and find the optimal values according to the client's requirements.
How we make a difference?
More accurate data
We train the AI algorithms, and build as well, at times, at the accuracy level greater than 98% in data analytics, by deploying right tools and equipping our people with right skillset to make the correct decisions.
Optimized human Intervention
We enable you to automate your business processes to reduce human intervention, by continuously training your algorithms on fresh and variable datasets, and thus the scope of error is almost nil. Ex- We automated the data entry process by building an AI-enabled program that could scan the images and update the data in the database. This reduced the manpower involved by more than 70% in redundant work which could be employed in more productive work. Here we used computer vision to extract the data and then process the data. Our team did the rest to continuously train the model, as it is a tedious task.
Handling multi-dimensional and multi-variety data
Machine Learning algorithms are good at handling data that are multi-dimensional and multi-variety, and they can do this in dynamic or uncertain environments. For the same, our teams are equipped to do data annotation, data tagging, image annotation, capture validation, etc.
Assist you in identifying trends and patterns
Machine Learning can review large volumes of data and discover specific trends and patterns that would be difficult for humans to detect. For e-commerce websites, we can write custom algorithms that can aid them to understand the browsing behaviors and purchase histories of its users to help cater to the right products, deals, and reminders relevant to them. It uses the results to reveal relevant advertisements to them.
We work on all the three interconnected technologies of AI, ML, and NLP. We encourage our customer to further explore the possibilities of initiating AI projects at a comfortable pace. In case they think of doing so FiveS Digital is the most reliable partner for all your upcoming requirements viz. we work on Data Analytics, Document management system, Data Preparation Services, and back-office support to name a few.
