Customer Contact Central

Deploy pre-trained models on AWS Wavelength with 5G edge using Amazon SageMaker JumpStart

AWS Machine Learning

APRIL 7, 2023

With the advent of high-speed 5G mobile networks, enterprises are more easily positioned than ever with the opportunity to harness the convergence of telecommunications networks and the cloud. SageMaker is a fully managed ML service that allows developers to easily deploy ML models into their AWS environments. Run the train_model.py

Telecommunications

Telecommunications Scripts Enterprise Engineering

Translate multiple source language documents to multiple target languages using Amazon Translate

AWS Machine Learning

DECEMBER 14, 2022

Enterprises need to translate business-critical content such as marketing materials, instruction manuals, and product catalogs across multiple languages to communicate with a global audience of customers, partners, and stakeholders. You can also provide up to 10 languages as targets. import boto3 client = boto3.client('translate')

APIs

APIs Enterprise Management Customer Support

Streamline diarization using AI as an assistive technology: ZOO Digital’s story

AWS Machine Learning

FEBRUARY 20, 2024

ZOO Digital provides end-to-end localization and media services to adapt original TV and movie content to different languages, regions, and cultures. Trusted by the biggest names in entertainment, ZOO Digital delivers high-quality localization and media services at scale, including dubbing, subtitling, scripting, and compliance.

Technology

Technology Scripts Engineering Entertainment

PCI Pal Partners With Odigo to Provide Secure Payments

CSM Magazine

APRIL 27, 2022

PCI Pal , the global provider of secure payment solutions, has today announced a mutual partnership with leading Contact Centre as a Service (CCaaS) solutions provider, Odigo. ” For more information on the new Odigo Connect Marketplace, visit www.odigo.com/en-gb/odigo-partners/odigo-connect/. About PCI Pal.

Government

Government SaaS Enterprise Technology

Lumoa raises €650 000 seed funding to take AI-powered customer experience analytics to the new markets

Lumoa

JUNE 4, 2018

Finnish SaaS company Lumoa , which provides AI-powered customer experience analytics software for medium and large sized companies across the Nordics, has announced €650 000 in funding. Lumoa, headquartered in Helsinki, Finland, offers a simple and intuitive service for analyzing large amounts of customer feedback. About Icebreaker.vc

Analytics

Analytics Marketing Customer Experience Telecommunications

Accelerate multilingual workflows with a customizable translation solution built with Amazon Translate

AWS Machine Learning

NOVEMBER 22, 2022

Enterprises often need to communicate effectively to a large base of customers, partners, and stakeholders across several different languages. Each business unit in the enterprise has different translation workloads and often manages their own translation requirements and vendors.

APIs

APIs Enterprise Accountability industry standards

Redact sensitive data from streaming data in near-real time using Amazon Comprehend and Amazon Kinesis Data Firehose

AWS Machine Learning

OCTOBER 4, 2022

To help streamline this process and reduce costs, you can use Amazon Comprehend , a natural language processing (NLP) service that uses ML to find insights and relationships like people, places, sentiments, and topics in unstructured text. If a payload is provided where the text is greater than 100 KB, the Lambda function will skip it.

APIs

APIs Banking Analytics Accountability

The View from Outside In: What Your Users Don’t Care About (and What to Do Instead)

Mindtouch

MAY 24, 2019

Feedback loop to business objectives – all content interactions are correlated to desired outcomes or analyzed for actionable insights to improve products or services. 85% support interactions will start with self-service by 2022 – up from 48% in 2018. The future of content during this Industry 4.0 Ubiquitous.

Self service

Self service Chatbots Metrics Feedback

Intelligent document processing with AWS AI services: Part 2

AWS Machine Learning

AUGUST 15, 2022

Across multiple industries, customers need to process millions of documents per year in the course of their business. An IDP pipeline with AWS AI services empowers you to go beyond OCR with more accurate and versatile information extraction, process documents faster, save money, and shift resources to higher value tasks. Prerequisites.

Banking

Banking APIs Accountability Analytics

6 ways of delivering successful knowledge management projects

Eptica

OCTOBER 28, 2015

Delivering consistent, accurate and compliant answers is at the heart of delivering the excellent customer service that they require, meaning that knowledge management has moved center stage, and therefore it should be an integral part of planning and deploying customer experience solutions. Does knowledge need to be proactive?

Management

Management Multichannel Self service Contact Center

Build financial search applications using the Amazon Bedrock Cohere multilingual embedding model

AWS Machine Learning

JANUARY 12, 2024

Enterprises have access to massive amounts of data, much of which is difficult to discover because the data is unstructured. Text embeddings enable industry professionals to extract insights from documents, minimize errors, and increase their performance. They provide ease of use and strong security and privacy controls.

Enterprise

Enterprise Engineering APIs Surveys

Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning

MARCH 28, 2024

Solution overview In this post, we demonstrate the use of Mixtral-8x7B Instruct text generation combined with the BGE Large En embedding model to efficiently construct a RAG QnA system on an Amazon SageMaker notebook using the parent document retriever tool and contextual compression technique. We use an ml.t3.medium

Telecommunications

Telecommunications Healthcare Transportation Accountability

Identify key insights from text documents through fine-tuning and HPO with Amazon SageMaker JumpStart

AWS Machine Learning

NOVEMBER 21, 2022

Organizations across industries such as retail, banking, finance, healthcare, manufacturing, and lending often have to deal with vast amounts of unstructured text documents coming from various sources, such as news, blogs, product reviews, customer support channels, and social media. JumpStart solution templates. Credit rating prediction.

Scripts

Scripts Metrics APIs Healthcare

Intelligent video and audio Q&A with multilingual support using LLMs on Amazon SageMaker

AWS Machine Learning

AUGUST 15, 2023

Digital assets are vital visual representations of products, services, culture, and brand identity for businesses in an increasingly digital world. The advancements in large language models (LLMs) have led to richer representations of texts, which provides better search capabilities for digital assets.

Chatbots

Chatbots Enterprise Accountability Best practices

Flag harmful language in spoken conversations with Amazon Transcribe Toxicity Detection

AWS Machine Learning

JULY 26, 2023

Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for developers to add speech-to-text capability to their applications. Most enterprises have an SLA of 7–15 days to review content reported by users because moderators must listen to lengthy audio files to evaluate if and when the conversation became toxic.

APIs

APIs Enterprise Advertising Personalization

Build trust and safety for generative AI applications with Amazon Comprehend and LangChain

AWS Machine Learning

NOVEMBER 10, 2023

We are witnessing a rapid increase in the adoption of large language models (LLM) that power generative AI applications across industries. Amazon Comprehend is a natural language processing (NLP) service that uses machine learning (ML) to uncover information in unstructured data and text within documents.

APIs

APIs Chatbots Analytics Personalization

Build an internal SaaS service with cost and usage tracking for foundation models on Amazon Bedrock

AWS Machine Learning

FEBRUARY 9, 2024

Enterprises are seeking to quickly unlock the potential of generative AI by providing access to foundation models (FMs) to different lines of business (LOBs). IT teams are responsible for helping the LOB innovate with speed and agility while providing centralized governance and observability.

SaaS

SaaS APIs Government Accountability

Customer Contact Central

Deploy pre-trained models on AWS Wavelength with 5G edge using Amazon SageMaker JumpStart

Translate multiple source language documents to multiple target languages using Amazon Translate

Trending Sources

Streamline diarization using AI as an assistive technology: ZOO Digital’s story

PCI Pal Partners With Odigo to Provide Secure Payments

Lumoa raises €650 000 seed funding to take AI-powered customer experience analytics to the new markets

Accelerate multilingual workflows with a customizable translation solution built with Amazon Translate

Redact sensitive data from streaming data in near-real time using Amazon Comprehend and Amazon Kinesis Data Firehose

The View from Outside In: What Your Users Don’t Care About (and What to Do Instead)

Intelligent document processing with AWS AI services: Part 2

6 ways of delivering successful knowledge management projects

Build financial search applications using the Amazon Bedrock Cohere multilingual embedding model

Advanced RAG patterns on Amazon SageMaker

Identify key insights from text documents through fine-tuning and HPO with Amazon SageMaker JumpStart

Intelligent video and audio Q&A with multilingual support using LLMs on Amazon SageMaker

Flag harmful language in spoken conversations with Amazon Transcribe Toxicity Detection

Build trust and safety for generative AI applications with Amazon Comprehend and LangChain

Build an internal SaaS service with cost and usage tracking for foundation models on Amazon Bedrock

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