AI for B2B Lead Generation in the Finance Sector: A Case Study

[fa icon="calendar'] Jun 6, 2019 4:04:14 PM / by Bitext posted in API, Machine Learning, NLP, Semantic Analysis, Sentiment Analysis, Big Data, Bitext, Deep Linguistic Analysis, Natural Language, Text Analytics, Text Categorization, Artificial Intelligence, Deep Learning, Phrase Extraction, NLU, AI, Entity extraction, NLP for Core, Finance, Banking

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What is the best way to generate leads in the finance sector? Digital strategies such as webinars, content marketing or paid social advertising may give great brand visibility, but are they actually initiating consumer inquiries into your products or services? If you really want higher economic outputs, it’s time to hit the target! Learn how Bitext AI solutions helped one of the leading German banks to boost its sales.

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Chatbots and Customer Service: Why Do Chatbots Fail?

[fa icon="calendar'] May 30, 2019 6:25:00 PM / by Bitext posted in API, Machine Learning, NLP, Semantic Analysis, Sentiment Analysis, Big Data, Bitext, Deep Linguistic Analysis, Natural Language, Text Analytics, Text Categorization, Artificial Intelligence, Deep Learning, Chatbots, Phrase Extraction, NLU, POS tagging, AI, Entity extraction, NLP for Core

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Although chatbots have become quite popular in recent years, there is still room for improvement. A well-trained chatbot must correctly react to any query sent by a user creating a successful human-like conversation. Is that happening? We don’t think so.


Round-the-clock service, cost reduction and delivering a better customer experience are, among others, the main benefits of chatbots for customer service automation. If you are thinking of setting up a conversational agent to take care of your customers, it’s all-important for you to know not only the bright side, but also the dark one. You just can't spin up a basic chatbot and expect it to work well.

 

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Natural Language Processing (NLP) and Machine Learning (ML)

[fa icon="calendar'] May 20, 2019 5:06:17 PM / by Bitext posted in API, Machine Learning, NLP, Semantic Analysis, Sentiment Analysis, Big Data, Bitext, Deep Linguistic Analysis, Natural Language, Text Analytics, Text Categorization, Artificial Intelligence, Deep Learning, Chatbots, Phrase Extraction, NLU, POS tagging, AI, Entity extraction, NLP for Core, NLP for CX

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Two concepts, one mission: to make machines understand humans. Natural Language Processing (NLP) and Machine Learning (ML) are all the rage right now as techniques that complement each other rather than as NLP vs ML. In this post,  we will focus on NLP and how it works together with ML to solve the challenges Artificial Intelligence is posing.

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Bitext Meets with Large Corporates in Hamburg

[fa icon="calendar'] May 3, 2019 6:35:00 PM / by Bitext posted in Sentiment Analysis, Bitext, Deep Linguistic Analysis, Artificial Intelligence, Deep Learning, Chatbots, AI, NLP for Core, NLP for Chatbots, Finance, Banking

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On 24 and 25 April 2019, at the old Customs House in Hamburg, Bitext was one of 54 companies backed by the European Innovation Council (EIC) pilot that had the opportunity to pitch and present their business cases and to engage in one-on-one business meetings with representatives from some of the leading Corporates in Europe. The multi-corporate event was promoted by the EIC pilot together with comdirect.

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What is Sentiment Analysis and How Does it Work?

[fa icon="calendar'] Apr 5, 2019 12:52:06 PM / by Bitext posted in API, Machine Learning, NLP, Sentiment Analysis, Big Data, Bitext, Natural Language, Text Analytics, Text Categorization, Chatbots, NLU, NLP for CX

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Sentiment Analysis is a procedure used to determine if a chunk of text is positive, negative or neutral. In text analytics, natural language processing (NLP) and machine learning (ML) techniques are combined to assign sentiment scores to the topics, categories or entities within a phrase.

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Business Intelligence in Text Format: Are You Acting Smart?

[fa icon="calendar'] Jan 30, 2019 3:11:00 PM / by Bitext posted in Semantic Analysis, Sentiment Analysis, Text Analytics, NLP for Core, NLP for CX

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While a picture may be worth a thousand words – a thousand words may be worth thousands of dollars. Never thought how valuable all your company unstructured data would be? This heterogeneous knowledge can turn out to be quite useful for companies, however, there is still much to be learned. 

 

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