Blog – Page 4 – Proxzar Labs

December 10, 2019 Artificial Intelligence, Education Rashmi Rao V

Using AI for coaching an individual in multiple skills

Implementing personalized training for each and every employee on the skills that needs to be abridged demand bigger training & development budget. This is where using AI for coaching an individual in multiple skills at a fraction of the budgeted training & development costs.

December 3, 2019 Marketing, Natural Language Interface Varalaxmi Reddy

Top 8 Use Cases for Machine Learning & AI in Marketing

Artificial intelligence and Machine Learning have changed the way businesses interact with customers. Marketing has always been customer-centric and activity associated with marketing is expected to yield maximum ROI. Anything that doesn’t please your customer or target audience is not saleable in the market. Thus, to keep the marketing efforts on target, make it personalize and reach maximum customer base, businesses are using AI and ML technologies.

November 30, 2019 E-commerce, Marketing Rashmi Rao V

Using AI for effective and efficient sales planning in the E-commerce Industry

When customers visit a brand they leave a trail of information behind which is called as “Customer Journey”. This large volume of data can be processed by AI for effective and efficient sales planning to help the sales teams in achieving pre-defined sales targets.

November 29, 2019 Natural Language Interface Srikanth T

Using natural language interface to effectively train and motivate sales team

AI applications like conversational agents, chatbots and virtual assistants that implement natural language interface are increasingly helping the sales teams in not only enhancing productivity and improving customer service, but also helping the sales personnel in getting trained effectively.

November 22, 2019 Natural Language Interface Srikanth T

Types of applications implementing NLI

Types of Applications Implementing Natural Language Interface This post is the second of a three part series on Natural Language Interface (NLI). The first post was Natural Language Interface: Advantages & Dis-advantages and the last post in the offing is: Tools/ Technologies that are used to build NLIs. Applications that implement Natural Language Interfaces, in […]

November 19, 2019 Natural Language Interface Rashmi Rao V

How a Conversational AI differs from a rules or workflow-based Chatbot

A Chatbot is a traditional natural language interface that is designed for primary and linear-driven interactions. Rules-based chatbots can be built quickly and are guided by pre-defined workflows. These type of chatbots have minimal application of AI or NLP technology.

November 10, 2019 Natural Language Interface Srikanth T

What Tools and Technologies are used to build NLI applications?

This article is the third and last part of the series of articles –

October 25, 2019 Artificial Intelligence, Natural Language Interface Rashmi Rao V

Why Natural Language Processing (NLP) could be the Future of Business?

Companies globally have been investing massive amounts of money in technology that could allow them to communicate with the customers in a language they are familiar with. Isn’t that amazing!! So how can technology or a system understand a human language, decipher the words, sentences, understand the meaning and respond with a correct solution? Natural Language Processing (NLP) is the right technology that has come to our rescue. What does NLP mean and how businesses across the globe are leveraging its benefits?

October 15, 2019 Automotive, Natural Language Interface Srikanth T

How building NLIs could address some of the disruptive trends in Automotive aftermarket in 2030?

In their article on the Automotive aftermarket in 2030, McKinsey predicts several disruptive trends that effect the entire value chain in the Automotive aftermarket as depicted in the featured graphic.

October 14, 2019 E-commerce, Natural Language Interface Rashmi Rao V

How AI search can address Ecommerce search problems

This article talks about the projected growth of e-commerce, importance of site search in e-commerce, problems in keyword-based search implementations and how AI search can address these problems.

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