The Northridge Group

MARCH 28, 2022

In our previous post , we discussed the importance of adopting a data-driven analytical approach to move the needle on patient/member experience, enabling higher CMS Stars Ratings and increased bonus payments for Medicare Advantage plan providers. A Success Story.

Healthcare 120

Healthcare Analytics Contact Center First call resolution 120

AWS Machine Learning

DECEMBER 4, 2023

In this post, we explain how we built an end-to-end product category prediction pipeline to help commercial teams by using Amazon SageMaker and AWS Batch , reducing model training duration by 90%. This capability of predictive analytics, particularly the accurate forecast of product categories, has proven invaluable.

Engineering 90

Engineering Analytics Benchmark Big data 90

AWS Machine Learning

MARCH 3, 2023

Machine learning (ML) can help companies make better business decisions through advanced analytics. In this blog post, we’ll look at how Amazon SageMaker Canvas delivers faster and more accurate model training times enabling iterative prototyping and experimentation, which in turn speeds up the time it takes to generate better predictions.

Benchmark 74

Benchmark Big data Banking Analytics 74

AWS Machine Learning

MARCH 8, 2023

With SageMaker, data scientists and developers can quickly and easily build and train ML models, and then directly deploy them into a production-ready hosted environment. It also provides common ML algorithms that are optimized to run efficiently against extremely large data in a distributed environment.

Scripts 100

Scripts Accountability Enterprise Management 100

NobelBiz

FEBRUARY 22, 2023

As big Data for contact centers is bringing insights and business possibilities at every level of the organization if managed correctly. That is why Call center analytics enables you to collect and analyze customer data to prioritize them. This comprehensive data includes information on every inbound and outbound call.

Analytics 52

Analytics Call Center Big data Contact Center 52

AWS Machine Learning

JANUARY 30, 2023

Amazon SageMaker provides a suite of built-in algorithms , pre-trained models , and pre-built solution templates to help data scientists and machine learning (ML) practitioners get started on training and deploying ML models quickly. They can process various types of input data, including tabular, image, and text.

Benchmark 79

Benchmark Construction Metrics Big data 79

AWS Machine Learning

NOVEMBER 3, 2022

We also look into how to further use the extracted structured information from claims data to get insights using AWS Analytics and visualization services. We highlight on how extracted structured data from IDP can help against fraudulent claims using AWS Analytics services. Prerequisites. response = get_entities(text).

Analytics 74

Analytics APIs Healthcare Big data 74

AWS Machine Learning

AUGUST 22, 2023

Machine learning (ML) is revolutionizing solutions across industries and driving new forms of insights and intelligence from data. Many ML algorithms train over large datasets, generalizing patterns it finds in the data and inferring results from those patterns as new unseen records are processed. What is federated learning?

Scripts 70

Scripts Accountability Transportation Benchmark 70

AWS Machine Learning

JANUARY 26, 2023

Amazon SageMaker is a fully managed machine learning (ML) service providing various tools to build, train, optimize, and deploy ML models. Data scientists train multiple ML algorithms to examine millions of consumer data records, identify anomalies, and evaluate if a person is eligible for credit.

Finance 72

Finance Engineering Big data Banking 72

AWS Machine Learning

APRIL 21, 2023

Batch inference is a common pattern where prediction requests are batched together on input, a job runs to process those requests against a trained model, and the output includes batch prediction responses that can then be consumed by other applications or business functions. In this post, we focus on the second scenario.

Metrics 71

Metrics Telecommunications Analytics Healthcare 71

AWS Machine Learning

OCTOBER 5, 2023

In this post, we walk through how to fine-tune Llama 2 on AWS Trainium , a purpose-built accelerator for LLM training, to reduce training times and costs. Llama 2 pre-trained models are trained on 2 trillion tokens, and its fine-tuned models have been trained on over 1 million human annotations.

Scripts 93

Scripts Big data Engineering SaaS 93

NobelBiz

FEBRUARY 22, 2023

In other words, the link between data and customer experience can become a virtuous circle. This article focuses on the crucial role of customer data analytics in contact center performance and customer experience. Table of Contents show What is Customer data analytics?

Analytics 52

Analytics Contact Center Call Center call center workforce 52

AWS Machine Learning

MARCH 15, 2024

To address this issue, federated learning (FL) is a decentralized and collaborative ML training technique that offers data privacy while maintaining accuracy and fidelity. Unlike traditional ML training, FL training occurs within an isolated client location using an independent secure session.

Healthcare 101

Healthcare Big data Engineering Accountability 101

Fonolo

OCTOBER 8, 2019

Big data is now used to address an increasing variety of business problems, from product launches to fraud and compliance. As retail contact center leaders gear up for the busiest time of the year, big data may be the last thing on their minds. Achieving this data-centric approach to CX may sound quixotic.

Big data 92

Big data Call Center Call Logging Self service 92

CSM Magazine

MAY 30, 2024

Predictive Analytics: AI can predict future customer needs and behaviours, allowing retailers to offer products and services that meet those needs proactively. AI-Driven Analytics AI-driven analytics enable retailers to predict customer needs and provide proactive support.

Government 52

Government Analytics Education Sales 52

Comm100

APRIL 10, 2024

Delivers training and onboarding assistance to new customer service agents. The role of AI in anticipating the needs of the customer Analyzing data to provide accurate predictions is arguably the primary use of artificial intelligence. Optimizes workflows to create a better, quicker service. Offers multilingual support.

Customer Service 90

Customer Service Chatbots Analytics Big data 90

AWS Machine Learning

JANUARY 4, 2024

Today, a large amount of data is available in traditional data analytics, data warehousing, and databases, which may be not easy to query or understand for the majority of organization members. Fine-tuning directly trains the model on the end task but requires many text-SQL examples.

Best practices 114

Best practices Enterprise Engineering APIs 114

Calltools

DECEMBER 12, 2018

In today’s IoT (Internet of Things) landscape, analyzing big data is now a crucial factor that must be embraced by call centers for collections, customer service, and sales. Now, highly sophisticated voice analytics software makes identifying who is likely to pay a reality for collection centers. How does this work?

Metrics 45

Metrics Analytics Call Center Sales 45

Natalie Petouhof

SEPTEMBER 12, 2017

Customer relationship management software has emerged as one of the most crucial tools for doing business successfully today, and the power of big data predictive analytics is making CRM more powerful than ever. The CRM predictive analytics market, valued at $4.18 Helping Your Staff to Make Data-based Sales Decisions.

CRM 40

CRM Analytics Big data Engineering 40

AWS Machine Learning

DECEMBER 18, 2023

Among all, the native time series capabilities is a standout feature, making it ideal for a managing high volume of time-series data, such as business critical application data, telemetry, server logs and more. With efficient querying, aggregation, and analytics, businesses can extract valuable insights from time-stamped data.

Finance 100

Finance APIs Analytics Scripts 100

Natalie Petouhof

OCTOBER 20, 2015

Tweet Teradata announced two new breakthrough software capabilities that empower business users to uncover and operationalize the insights hidden within Internet of Things (IoT) data. Even the most technology-savvy organizations recognize that extracting value from data generated by the IoT is a difficult, skills-intensive process.

Analytics 40

Analytics Big data Self service Healthcare 40

Talkdesk

JANUARY 16, 2018

It’s also an effective way to measure agent performance and enhance an organization’s training programs. Leveraging today’s innovative speech recognition technology and predictive analytics is the key to creating a customer-centric culture in the call center. What are your customers saying about your company or your competitors?

Analytics 40

Analytics Call Center Customer centricity Construction 40

Talkdesk

JANUARY 16, 2018

It’s also an effective way to measure agent performance and enhance an organization’s training programs. Leveraging today’s innovative speech recognition technology and predictive analytics is the key to creating a customer-centric culture in the call center. What are your customers saying about your company or your competitors?

Analytics 40

Analytics Call Center Customer centricity Construction 40

NobelBiz

DECEMBER 19, 2023

Real-time monitoring and analytics identify and address bottlenecks, streamlining the escalation process. Training staff on tech tools enhances efficiency and customer service. Real-time Monitoring and Analytics Real-time analytics is a powerful tool in the world of call center escalation management.

Call Center 105

Call Center Management Wait times Contact Center 105

Callminer

NOVEMBER 6, 2019

Big data is getting bigger with each passing year, but making sense of trends hidden deep in the heap of 1s and 0s is more confounding than ever. As metrics pile up, you may find yourself wondering which data points matter and in what ways they relate to your business’s interests. Data Permission. Data Preparation.

Big data 140

Big data Analytics Metrics Sales 140

Customer Interactions

MARCH 11, 2013

Organizations are similarly challenged by the overflow of Big Data from transactions, social media, records, interactions, documents, and sensors. But the ability to correlate and link all of this data, and derive meaningful insights, can offer a great opportunity.

Big data 40

Big data Banking Analytics Best practices 40

NobelBiz

APRIL 30, 2024

This evolution has been driven by advancements in machine learning, natural language processing, and big data analytics. Providing Real-Time Customer Insights AI tools process and analyze vast amounts of data in real-time, providing call centers with immediate insights into customer behaviors and trends.

Call Center 105

Call Center Chatbots Virtual Agent Contact Center 105

Outsource Consultants

DECEMBER 21, 2023

For instance, leading BPOs now employ advanced AI-driven analytics to personalize customer interactions, a concept barely conceivable three years ago. Leveraging Big Data for Proactive Service The use of Big Data in outsourced call centers is a recent, yet impactful, development.

Call Center 67

Call Center Virtual Agent outsourcing Upselling 67

NobelBiz

APRIL 30, 2024

This evolution has been driven by advancements in machine learning, natural language processing, and big data analytics. Providing Real-Time Customer Insights AI tools process and analyze vast amounts of data in real-time, providing call centers with immediate insights into customer behaviors and trends.

Call Center 104

Call Center Chatbots Virtual Agent Contact Center 104

AWS Machine Learning

FEBRUARY 13, 2024

In this post, we discuss how BigBasket used Amazon SageMaker to train their computer vision model for Fast-Moving Consumer Goods (FMCG) product identification, which helped them reduce training time by approximately 50% and save costs by 20%. It was costly and time consuming to train the models frequently to adapt to new products.

Engineering 95

Engineering Gamification Scripts Big data 95

Lumoa

MAY 16, 2024

Because ML systems aren’t just coded; they’re trained. When we talk about ML systems, we’re referring to software that learns and adapts based on data. Tooling Gap : The QA tools designed for traditional software development don’t always meet the unique needs of data science projects.

Engineering 83

Engineering Banking Metrics Big data 83

Callminer

SEPTEMBER 14, 2020

For instance, to improve key call center metrics such as first call resolution , business analysts may recommend implementing speech analytics solutions to improve agent performance management. Then key metrics of each agent can be analyzed to understand their personal shortcomings and specific training can be given to them.

Call Center 182

Call Center Analytics First call resolution Metrics 182

Connect

DECEMBER 11, 2023

Training new agents has consistently demanded significant time and resources, impacting both operational efficiency and the bottom line. AI-enabled agent assist technology leverages data analytics and big data to feed agents with relevant profile information and historical interaction data in real-time.

Technology 92

Technology Average Handle Time Cloud contact First call resolution 92

AWS Machine Learning

APRIL 19, 2023

Feature Store lets you define groups of features, use batch ingestion and streaming ingestion, retrieve the latest feature values with single-digit millisecond latency for highly accurate online predictions, and extract point-in-time correct datasets for training. Model training and deployment – This aspect of our solution is straightforward.

Engineering 76

Engineering Analytics APIs Enterprise 76

Connect

APRIL 18, 2024

These AI models can also streamline data analysis in the contact centre, with the ability to rapidly process large sets of unstructured and inaccessible data in seconds to find patterns that help improve performance by informing data-driven decision-making.

Virtual Agent 88

Virtual Agent Chatbots Average Handle Time Engineering 88

AWS Machine Learning

NOVEMBER 17, 2023

Amazon SageMaker enables enterprises to build, train, and deploy machine learning (ML) models. Amazon SageMaker JumpStart provides pre-trained models and data to help you get started with ML. About the authors Igor Alekseev is a Senior Partner Solution Architect at AWS in Data and Analytics domain.

APIs 90

APIs Enterprise Big data Chatbots 90

Calabrio

MAY 3, 2016

Data collection and storage is manageable, but executives can easily find themselves with a mountain of information and more questions than answers. One option is to hire a team of highly trained data scientists to dig through the data. Learn more about how to make your customer data work for you.

Analytics 58

Analytics Contact Center Technology Big data 58