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Thursday, November 22, 2018

Driving Big Data Innovation to New Levels by using Natural Language Processing and AI


“Data is the new gold” is the expression we have all heard, and it is not doubtful that customer data in particular can fundamentally transform a business. However, data is rarely stored, located or created in one place—and it’s really hard to know what data does exist to have a holistic and accurate view of a business. Any business executive with accountability to the bottom line will tell you, the success of a strategic initiative is dependent on accurate and timely information. Today though, manual processes that require folks in IT to dig through data to get insights for everyone else simply doesn’t scale.

To really drive innovation to a whole new level, we’re seeing a rise in the use of Natural Language Processing (NLP) and Artificial Intelligence (AI) to make finding and using trusted, quality data that much easier. In fact, Machine Learning (ML), AI and NLP are quickly becoming table stakes for analytics are what leading industry analyst companies have been aware. That requires significant heavy lifting at the infrastructure level and it’s not an easy thing to do.

For example, NLP cannot understand the context of an attribute without a systematic view of grammar. In a query if someone types in ‘show me all the PII data’, it is required that all the words in the phrase must be understood by the system, where ‘show me’ equates to ‘execute a search’. ‘All’ would signal a search in every row, column and comment field specifically for ‘PII’ which encompasses a multitude of other variables such as a person’s name, their date of birth, social security numbers, credit card numbers, address fields, etc. A search can be executed right at the moment when the system understand each word and how one word relates to another

Significant contributions have been made by the open source community in order to make NLP and ML algorithms more mature. Along with the constant evolution of open source software, developers are constantly putting code in the wild to trial and enhance. The open source community has led work in deep neural networks, AI, ML and NLP to help developers understand the underlying grammatical logic – what’s a noun, what’s a verb, how does one word relate to another.

Customers and prospects alike keep telling about the value of being able to search using natural language. The need and opportunity among healthcare providers and organizations for example, is incredible. A founder of a biomedical organization shared with us recently that he has a lofty goal—to build a global team science consortia to provide a quicker and better public health response to cancer by leveraging the best biomedical informatics, information and communication technology available. A technical challenge arose which is how to collect all the raw data from hundreds of cancer research projects around the world and provide an easy to use interface to help oncologists tap in to this global base of knowledge.

Within our connected enterprises we’ve amassed a rich metadata directory where we can extract value from defining relationships – even putting them into a knowledge graph and then building the NLP layer above that. The more data sources—the stronger the graphing capability. This is a very smart way to visualize the user experience and it’s another way to empower more business users to innovate faster through data-driven insights.

All of this drives the market forward and as we see NLP and AI technology maturing our use and implementation for data analytics will lead business transformation well into the next decade.

With 21 years in providing R&D services for leading companies worldwide, TMA Solutions has intensive experience and capabilities to bring your products and solutions to a new level by embracing new technologies (big data & analytics, AI, IoT, mobile, cloud, etc.).

TMA Solutions's BI, big data and analytics team has supported many customers in building BI and analytics solutions to process large amounts of business data and provide real-time reports for business decisions.

You can visit our website here to find out more information or email us now.

(Source: https://insidebigdata.com/2018/11/05/natural-language-processing-ai-innovation/)

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