Eptica

APRIL 15, 2020

Tags: vecko, Voice of the customer, VoC, covid-19, pandemic, coronavirus, corona virus, listening, CSAT, NPS, Net Promoter Score, Customer Service, Customer experience, AI, Artificial intelligence, text analytics, Natural Language Processing, NLP, Manuela Pifani Categories: AI, Best Practice. Learn more at www. com / en /.

Surveys 95

Surveys Best practices Analytics Feedback 95

AWS Machine Learning

AUGUST 15, 2022

In part 1, we described the data capture and document classification stages, where we categorized and tagged documents such as bank statements, invoices, and receipt documents. For simplicity of this blog post, we use the entity lists method, which you can only use for plain text documents. Named entity recognition.

Banking 73

Banking APIs Accountability Analytics 73

JustCall

AUGUST 8, 2023

You must also optimize the product tags and descriptions to continuously improve search relevance based on user behavior. However, embracing technology for the sake of it will not give you the benefits outlined in this blog. Another great example of a brand using customer-centric search is Etsy.

Chatbots 52

Chatbots Abandon rate Customer centricity Personalization 52

Eptica

NOVEMBER 28, 2018

This is where our AI-based Natural Language Processing (NLP) technology helps with compliance. As my colleague Lenka discussed in last week’s blog , we’ve focused on sharing best practice, helping customers meet the May deadline. Share this page on: Tweet.

Best practices 66

Best practices APIs Personalization Analytics 66

Eptica

AUGUST 30, 2017

In my previous series of blogs I explained the basic AI terms , including bots and chatbots , and the impact they have on CX, and now I want to turn my attention to text analytics. Once the message has gone through the steps listed above, NLP can be used to understand its meaning. Semantic analysis.

Analytics 50

Analytics Customer Experience Chatbots Best practices 50

Eptica

DECEMBER 20, 2017

Based on the topics covered in the Eptica blog that received the most interest, we’ve put together a top 7 posts from across 2017. As this blog post explains , overall performance is worsening, particularly on social media, and CX leaders are pulling further ahead of the laggards. Read all six key conclusions in the post.

Chatbots 48

Chatbots Multichannel Customer centricity Analytics 48

AWS Machine Learning

APRIL 7, 2023

Retailers can deliver more frictionless experiences on the go with natural language processing (NLP), real-time recommendation systems, and fraud detection. To learn more, you can visit this guide on the AWS Containers Blog or Verizon’s 5GEdgeTutorials repository for one such example.

Telecommunications 78

Telecommunications Scripts Enterprise Engineering 78

JivoChat

JUNE 29, 2023

In this blog post, we’ll delve into the key strategies that successful E-commerce entrepreneurs and key opinion leaders employ to create an unforgettable brand experience. To implement chatbots and AI effectively, you can use natural language processing (NLP) and machine learning to train your bots.

Analytics 88

Analytics Chatbots Feedback Surveys 88

AWS Machine Learning

APRIL 23, 2024

ipynb notebook in blog/pytorch_cnn_cifar10. Build a Docker image using the reference Dockerfile: docker build --network sagemaker --tag myflaskapp:v1 --file./Dockerfile. Re-tag the build as an ECR image and push. Open the pytorch_local_mode_cifar10.ipynb For Image , choose PyTorch 2.1.0 Python 3.10 CPU Optimized. Dockerfile.

Scripts 92

Scripts APIs Engineering Feedback 92

AWS Machine Learning

MAY 13, 2024

In part 1 of this blog series, we discussed how a large language model (LLM) available on Amazon SageMaker JumpStart can be fine-tuned for the task of radiology report impression generation. This post then seeks to assess whether prompt engineering is more performant for clinical NLP tasks compared to the RAG pattern and fine-tuning.

Healthcare 101

Healthcare Engineering APIs Benchmark 101

AWS Machine Learning

SEPTEMBER 14, 2023

It can be difficult to find insights from this data, particularly if efforts are needed to classify, tag, or label it. Amazon Comprehend is a natural-language processing (NLP) service that uses machine learning to uncover valuable insights and connections in text. Amazon Comprehend custom classification can be useful in this situation.

APIs 91

APIs Government Accountability Engineering 91

JivoChat

JULY 26, 2023

Designers can leverage these advancements to automate tasks such as image tagging, object identification, and content organization. Freepik Natural Language Processing (NLP) for Content Generation NLP algorithms, another milestone in AI trends, enable graphic designers to automate content generation tasks.

Feedback 75

Feedback Technology Personalization Marketing 75

Eptica

FEBRUARY 1, 2017

For the benefit of blog readers, can you give us some more detail on what you are seeing happening in the market? So, brands should look at how technology can help them to serve customers better at their point of need, particularly by using natural language processing (NLP) capabilities to bring meaning and value to conversations.

Technology 58

Technology Multichannel Employee engagement Chatbots 58

AWS Machine Learning

SEPTEMBER 13, 2022

Amazon Comprehend is a fully managed and continuously trained natural language processing (NLP) service that can extract insight about content of a document or text. In this post, we use a publicly available NLP – fast.ai Solution overview. dataset to analyze the product reviews provided by customers. Session() comprehend = boto3.client(

APIs 66

APIs Metrics Scripts Accountability 66

Eptica

MAY 24, 2017

Gartner underlines our long-term investments in Natural Language Processing (NLP) and linguistics. Tags: Olivier Njamfa, Gartner, Magic Quadrant, Digital transformation, CX, Eptica, Anne-Sophie Pouyau Categories: News, Best Practice. What are the main conclusions about Eptica?

Customer Experience 48

Customer Experience Self service Best practices CRM 48

REVE Chat Blog

NOVEMBER 6, 2019

Business rules are triggered Based on customer sentiments – Business rules like chat routing, adding tags or setting priority are initiated based on the analysis of the sentiments of the customers. AI elevates the importance of IVR and changed the future of call centers.

Contact Center 82

Contact Center Interactive Voice Response Call Center Chatbots 82

AWS Machine Learning

FEBRUARY 20, 2023

A tag indicating the specific dog present in the instance prompt is missing in the class prompt. Heiko Hotz is a Senior Solutions Architect for AI & Machine Learning with a special focus on natural language processing (NLP), large language models (LLMs), and generative AI.

Scripts 77

Scripts APIs Entertainment Construction 77

ProProfs Blog

OCTOBER 25, 2021

In this blog, we will understand the growing importance of collecting customer feedback, discuss some must-have features, and explore over 40+ customer feedback software. The AI-powered Natural Language Processing(NLP) technique ensures that every word of your customer feedback text is analyzed well. Here we go!

Feedback 148

Feedback Surveys Enterprise Analytics 148

JustCall

MARCH 9, 2023

In this In this blog, we discuss the 18 crucial contact center strategies your business must work on to improve contact center performance. Many IVR technologies offer semantics and NLP-based query resolution tools that help them understand the context of a query, regardless of how a question was asked.

Contact Center 40

Contact Center Interactive Voice Response Scripts Self service 40