Our Thoughts On Natural Language Interface, NLP and AI applications

Natural Language Interface

The 7 NLP Techniques That Will Change How You Communicate in the Future

As part of my research to understand the advances being made in AI / NLP technology, I read the excellent article titled ‘The 7 NLP Techniques That Will Change How You Communicate in the Future‘ by James Le that was published online on Medium. James vividly explains these techniques in detail – which makes it an excellent read for anyone who is interested in NLP. In this article, I attempted to put my own understanding of these advances in NLP technology.

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How AI Helps Facilitate Omnichannel Experience In e-Commerce

Technology keeps us inspiring and surprising every day by adding convenience to our lives. Digital platforms have changed the B2B buying scenario where customers focus on more personalized, seamless experiences with quick responses and 24/7 interaction. Today machines, mobile apps, software and several algorithms understand what we speak and respond in the same language. These machines can even understand human emotions and provide solutions to various issues. All thanks to Artificial Intelligence (AI), machines can analyze and interpret extensive amount of data within seconds and predict future prospects.

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Artificial Intelligence

How AI can be used to streamline assorted business processes

Markets are dynamic and moving faster than imagined. To stay with the evolving market, businesses need to design their processes that are automated, agile, and fast-paced. To achieve the dynamism companies are adopting more flexible, results-driven approach and hence, companies are deploying Artificial Intelligence (AI) systems to facilitate the transformation.

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Natural Language Interface

Using NLI To Drive Efficiency In Vendor Management

In a business ecosystem, third-party vendors play an important role in today’s competitive market. Traditional checklist methods are not sufficient anymore to manage multiple vendors. Artificial Intelligence (AI) and Natural Language Interface (NLI) can help in providing effective and efficient vendor management solutions.

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AI and ML Applications In The Automobile Industry

Artificial Intelligence and Machine Learning applications are transforming several sectors. Few months ago, we’ve published an article with insights gained from McKinsey study of Automobile after-market in 2030 and another article that talks of a need for NLI implementations like Cox’s Nexi virtual assistant for Automotive dealers. AI and ML applications in the automotive industry spans across the supply-chain and after-market services.

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Supply Chain

AI In Supply Chain Management

The top most challenges in supply chain management are demand forecasting and warehouse optimization. And, by using AI in supply chain management, organizations can address these challenges, apart from automating other critical processes in SCM. SCM is an overarching process in any organization that manufactures and sells assorted products. It starts with procuring raw material from suppliers/ vendors, converting the raw material into finished products through manufacturing processes, maintaining working inventory as the respective processes demand, moving the finished products through geographically scattered distribution channels or retail locations so as to finally reach the end customers.

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