How AI and NLP help your Buisness!
There are various advantages of integrating AI and NLP into your business systems. Outsource AI experts from Minda Technology to make the most of the advanced technology to optimize resources, increase production, improve sales, enhance customer satisfaction, and get more returns.
Data Analysis
Natural language capabilities are being integrated into data analysis workflows as more BI vendors offer a natural language interface to data visualizations. Applying language to investigate data not only enhances the level of accessibility, but lowers the barrier to analytics across organizations, beyond the expected community of analysts and software developers.
Business Intelligence
Marketers can benefit from natural language processing to learn more about their customers and use those insights to create more effective strategies. Analyzing topics, sentiment, keywords, and intent in unstructured data can really boost your market research, shedding light on trends and business opportunities.
Text Analysis
Text analytics converts unstructured text data into meaningful data for analysis using different linguistic, statistical, and machine learning techniques. While sentiment analysis sounds daunting to brands--especially if they have a large customer base--a tool using NLP will typically scour customer interactions, such as social media comments or reviews, or even brand name mentions to see what’s being said.
Human-Machine Interactions
Chatbots and virtual assistants are used for automatic question answering, designed to understand natural language and deliver an appropriate response through natural language generation.
Standard question answering systems follow pre-defined rules, while AI-powered chatbots and virtual assistants are able to learn from every interaction and understand how they should respond.
Healthcare & Life Sciences
We find critical insights buried in healthcare documents — insights that could elevate patient care, improve provider performance, and increase operational efficiency.
- Hard copy patient files
- Clinical trial protocols
- Insurance forms
Legal & Compliance
Blaze through forms or unstructured documents (ex. contracts, court filings) to find crucial information, get organized, or evaluate document quality. Your legal and compliance documents may hold valuable business insights – we can help you find them.
- Contracts
- Court documents
- Compliance forms
Government
Though Governments lacks behind in adopting Artificial Intelligence as compared to the private sector, it is moving forward in the right direction. Governments are taking modern emerging technologies into their architecture gradually. Now the requirement is how to scale things according to the changing environment.
Technology & Operations
Reimagine your platform, product, or workflow with Minda Tech. intelligent document processing. Supercharge search, normalize your data and find new opportunities.
NLP, AI, Machine Learning: What’s the Difference?
How long does it take for a human to read a dry document of an article? Machines can do it in a fraction of a second. NLP employs AI, ML, and DL algorithms to grasp the content in context, understanding words and charts and the relationships between them.
Artificial Intelligence (AI)
Artificial intelligence is a wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. AI combines computer science and robust datasets, to enable problem-solving. It also encompasses sub-fields of machine learning and deep learning, which are frequently mentioned in conjunction with artificial intelligence. These disciplines are comprised of AI algorithms which seek to create expert systems which make predictions or classifications based on input data.
Machine Learning (ML)
Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.
Successful Machine Learning projects include improving supply chain performance, delivering more personalized services and product recommendations, informing and detecting tissue and bone in surgery, predicting treatment outcomes, risk analysis and more.
Natural Language Processing (NLP)
Natural language processing (NLP) refers to the branch of computer science—and more specifically, the branch of artificial intelligence or AI—concerned with giving computers the ability to understand text and spoken words in much the same way human beings can.
Several NLP tasks break down human text and voice data in ways that help the computer make sense of what it's ingesting.
Deep Learning (DL)
Deep learning is a subset of machine learning, which is essentially a neural network with three or more layers. These neural networks attempt to simulate the behavior of the human brain—albeit far from matching its ability—allowing it to “learn” from large amounts of data. While a neural network with a single layer can still make approximate predictions, additional hidden layers can help to optimize and refine for accuracy.
Big Data
Regardless of the sector, every business today relies on large volumes of text information in different types. Because these types of information are largely made up of language, natural language processing for big data presents an opportunity to take advantage of what is contained in especially large and growing stores of content to reveal patterns, connections and trends across disparate sources of data.