AWS Machine Learning

JUNE 15, 2022

Edge is a term that refers to a location, far from the cloud or a big data center, where you have a computer device (edge device) capable of running (edge) applications. ML@Edge is important for many scenarios where raw data is collected from sources far from the cloud. Poor or non-existing connectivity to the cloud.

Transportation 76

Transportation APIs Big data Wireless 76

Comm100

OCTOBER 17, 2023

Analytics and Reporting : Gather data on customer interactions, identify trends, and make improvements based on insights. Data collection : Automated systems can gather data on customer interactions, providing valuable insights. Businesses today thrive on efficiency, and the customer service domain is no exception.

Customer Service 73

Customer Service Interactive Voice Response Multi-channel support Multichannel 73

Totango

AUGUST 21, 2020

It was a great must watch panel discussion that provides many insights into SAP’s journey to becoming the largest Customer Success implementation world-wide. Question: How did Totango help with this cloud transformation and how many Totango users do you have? SC: Totango is very easy to use and is cloud-based.

Upselling 115

Upselling Accountability Metrics SaaS 115

Hodusoft

AUGUST 17, 2022

Streamline customer journeys and provide better customer insights by understanding customer demands, their complaints, and customer lifecycles. Get cloud-based communication solutions. Around 38% of businesses are planning to adopt cloud technology in their communication while 33% have already endorsed cloud.

Contact center software 98

Contact center software Customer Service Contact Center Self service 98

AWS Machine Learning

FEBRUARY 13, 2023

This post is co-written by Zdenko Estok, Cloud Architect at Accenture and Sakar Selimcan, DeepRacer SME at Accenture. The AWS CDK is an open-source software development framework to define your cloud application resources. The creation of a scalable and hassle-free data science environment is key.

Scripts 73

Scripts Best practices Transportation Construction 73

AWS Machine Learning

NOVEMBER 22, 2023

The AWS Well-Architected Framework provides a systematic way for organizations to learn operational and architectural best practices for designing and operating reliable, secure, efficient, cost-effective, and sustainable workloads in the cloud. This post focuses on the Performance Efficiency pillar of the IDP workload.

APIs 91

APIs Metrics Enterprise Benchmark 91

AWS Machine Learning

JULY 7, 2022

In this post, we review the best practices for developing and deploying Amazon Lex bots, enabling you to streamline the end-to-end bot lifecycle and optimize your operations. You familiarized yourself with Amazon Lex , built a prototype, and did a few trial interactions with the bot. Development.

Best practices 75

Best practices Metrics APIs Accountability 75

CCNG

JULY 12, 2020

CCNG is working through our network of colleagues and resources to help share information, insights, and ideas on maintaining strong customer care, employee support, and business continuity during this challenging period. This event was driven by members and lead by their questions and insights. March 15, 2020. March 18, 2020.

Contact Center 221

Contact Center CCNG Best practices Government 221

TechSee

DECEMBER 11, 2018

Contact center leaders have now come to terms with the need for integrated cloud-based platforms that properly connect consumers, the enterprise and its representatives. Contact center leaders have now come to terms with the need for integrated cloud-based platforms that properly connect consumers, the enterprise and its representatives.

Call Center 182

Call Center Customer Experience Self service Contact Center 182

AWS Machine Learning

NOVEMBER 22, 2023

Building a production-ready solution in the cloud involves a series of trade-offs between resources, time, customer expectation, and business outcome. The AWS Well-Architected Framework helps you understand the benefits and risks of decisions you make while building workloads on AWS.

Best practices 82

Best practices Metrics Feedback Enterprise 82

AWS Machine Learning

JUNE 16, 2023

At SambaSafety , their mission is to promote safer communities by reducing risk through data insights. Since 1998, SambaSafety has been the leading North American provider of cloud–based mobility risk management software for organizations with commercial and non–commercial drivers.

Scripts 76

Scripts Engineering Accountability Consulting 76

AWS Machine Learning

SEPTEMBER 20, 2022

Previously, you had to implement cleanup workflows to remove this intermediary data, or manually set up S3 lifecycle configuration to control storage cost and meet your organization’s data security requirements. In this post, we walk you through this new feature. Solution overview. This is a big operational overhead, and not scalable.

Banking 71

Banking Engineering Enterprise Advertising 71

CSM Magazine

NOVEMBER 24, 2021

The step-by-step process where a software idea on paper is transformed into a working piece of software is called the Software Development Lifecycle (SDLC). When it comes to developing SaaS platforms, the development lifecycle takes a different course. What is SaaS Development? To find out more about this topic, see: [link].

SaaS 52

SaaS Advertising Feedback Marketing 52

Enghouse Interactive

APRIL 13, 2021

Organizations traditionally invested in their contact center infrastructure, as a standalone premise-based solution, with a view to the long term… that usually meant that they would sweat those assets over a 10-15 year lifecycle. Hybrid Architectures Unlock CCaaS Benefits and Accelerate Digital Channel Adoption. It’s a new reality.

Contact Center 91

Contact Center Morale Technology Self service 91

AWS Machine Learning

APRIL 11, 2023

Streamlit applications are useful for presenting progress on a project to your team, gaining and sharing insights to your managers, and even getting feedback from customers. The Jupyter Server associated with the user profile runs inside the Studio Amazon Elastic Compute Cloud (Amazon EC2) instance. Create Studio using JupyterLab 3.0

Scripts 72

Scripts Automotive Engineering Healthcare 72

AWS Machine Learning

DECEMBER 1, 2022

As AWS offers the broadest and deepest set of AI services and the supporting cloud infrastructure, we are committed to developing fair and accurate AI services and providing customers with the tools and guidance needed to build applications responsibly. AI is also helping industries innovate and overcome more commonplace challenges.

Transportation 71

Transportation Airlines Government Engineering 71

Serenova

JANUARY 7, 2020

So, we created a true cloud contact center solution that could. It gives global brands insights about customer experiences and their customers, as they pivot among a constantly growing number of channels, including email, SMS, voice and Facebook messenger. Moving to the Cloud Is Smart, But Not Easy.

Contact Center 64

Contact Center Technology Business Process Outsourcing contact center solutions 64

AWS Machine Learning

AUGUST 8, 2022

By deploying a variety of edge IoT devices such as cameras, thermostats, and sensors, you can collect data, send it to the cloud, and build machine learning (ML) models to predict anomalies, failures, and more. You deploy the app once and run the ML pipeline as many times as you need. Solution overview.

Management 83

Management Accountability Engineering Scripts 83

AWS Machine Learning

DECEMBER 1, 2022

A well-implemented model governance framework should minimize the number of interfaces required to view, track, and manage lifecycle tasks to make it easier to monitor the ML lifecycle at scale. Both these features are available at no additional charge to SageMaker customers. Overview of model governance. SageMaker Model Cards.

Government 77

Government Metrics APIs Engineering 77

Sykes

FEBRUARY 24, 2021

Cloud Technology. Let us dive into cloud contact center platforms, referring to them as CCPs from here on out. You can also deploy AI solutions, from speech analytics to understand tone and frustration, all the way to text and predictive analytics that yield more insights for real-time decision making. Traditional Approach.

Cloud contact 52

Cloud contact Technical Support Interactive Voice Response Analytics 52

AWS Machine Learning

FEBRUARY 13, 2024

SageMaker Feature Store provides a secured and unified store to process, standardize, and use features at scale across the ML lifecycle. Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models.

Accountability 103

Accountability Government Engineering Scripts 103

AWS Machine Learning

JANUARY 5, 2024

AWS also helps data science and DevOps teams to collaborate and streamlines the overall model lifecycle process. The suite of services can be used to support the complete model lifecycle including monitoring and retraining ML models. Data science and DevOps teams may face challenges managing these isolated tool stacks and systems.

Management 108

Management APIs Engineering Government 108

Calltools

JANUARY 19, 2022

This gives agents additional insights into the customer lifecycle. The phone rings. An agent answers and resolves a customer’s problem. It might seem simple, but lots of factors influence this process. COVID-19 Increases the Number of Difficult Calls. These solutions aim to optimizing manual routing and the escalation processes.

Contact Center 52

Contact Center Interactive Voice Response Chatbots Abandon rate 52

Quadient

JULY 25, 2022

Introduction. Since every customer's journey is unique and every business has unique customer experience (CX) goals, there is no one-size-fits-all customer journey map example. The right customer journey map for your business depends on your customers, the products and services you sell, your team, and your CX goals. Current state journey maps.

Journey mapping 52

Journey mapping Construction Feedback Customer Experience 52

AWS Machine Learning

MARCH 13, 2023

It is critical for the VMware Carbon Black team to design and build a custom end-to-end MLOps pipeline that orchestrates and automates workflows in the ML lifecycle and enables model training, evaluations, and deployments. We discuss what we achieved so far, further enhancements to the pipeline, and lessons learned along the way.

Engineering 81

Engineering APIs Metrics Management 81

AWS Machine Learning

NOVEMBER 16, 2023

Amazon SageMaker provides purpose-built tools for machine learning operations (MLOps) to help automate and standardize processes across the ML lifecycle. This is a joint blog with AWS and Philips. Philips is a health technology company focused on improving people’s lives through meaningful innovation.

Healthcare 87

Healthcare Government Engineering APIs 87

CSM Magazine

OCTOBER 20, 2020

In today’s world, customer expectations are extremely high and going cloud-native within the business is one of the most effective ways to make sure those expectations are met and even surpassed. Businesses also can make the most out of customer data to gain a better insight into their expectations and adapt accordingly. Innovation.

Customer Experience 52

Customer Experience Entertainment Enterprise Customer Service 52

AWS Machine Learning

MAY 25, 2023

The Spectrum AI platform combines customer attitudes with customers’ operational data and uses machine learning (ML) to generate continuous insight on CX. Spectrum AI is a predictive (generative) CX analytics platform for enterprises.

Analytics 65

Analytics Engineering Accountability Enterprise 65

TechSee

JANUARY 2, 2019

Whirlpool, a global leader in smart appliances, shares insights from their global survey. A gathering place for the world’s top business leaders and pioneering thinkers, this year’s event focuses on n an important theme: resilience. CES 2019 Smart Home Sessions Not to be Missed. Executive One-on-One with Whirlpool & CTA.

Entertainment 174

Entertainment Surveys Technology Education 174

AWS Machine Learning

OCTOBER 1, 2022

Today we’re already witnessing the potential of technology to revolutionize the understanding of football. xGoals quantifies and allows comparison of goal scoring potential of any shooting situation, while xThreat and EPV models predict the value of any in-game moment. Enter the new Bundesliga Match Fact: Win Probability. How does it work?

Telecommunications 77

Telecommunications Consulting Consulting Big data 77

Sykes

MARCH 5, 2019

The report emphasized SYKES’ serious investments in digital capability to expand their solutions across the entire customer lifecycle — from the digitization of business processes to marketing, sales and care. The report also ranks SYKES #3 for digital investment and capability.

Marketing 75

Marketing Technical Support Enterprise Transportation 75

Quadient

JULY 25, 2022

It enables businesses to gain insights to help them focus on what matters most to their customers. It enables businesses to gain insights to help them focus on what matters most to their customers. Choose a cloud-based mapping tool to create collaborative journey maps. What is customer journey software useful for?

Journey mapping 52

Journey mapping Enterprise Multichannel Personalization 52

TeamSupport

SEPTEMBER 30, 2020

Cloud solutions and advanced technologies such as machine learning and AI will continue to power current and new products. Additionally, Success actively manages the customer lifecycle to add ongoing value and drives strategic initiatives to maximize product adoption and advocacy. planning to leverage these trends and evolve?

B2B 59

B2B B2C Strategic Value CRM 59

Totango

APRIL 2, 2019

Here are the five steps you must complete when charting the customer journey: Determine the stages of the customer lifecycle. Determine the Stages of the Customer Lifecycle. From the moment a customer buys your product or subscribes to your service, they’ve chosen to take a journey with your brand. Through customer journey mapping.

Journey mapping 105

Journey mapping Upselling Accountability Feedback 105

TeamSupport

OCTOBER 8, 2020

We conclude this series with Part 3, where Eric offers insight into the competitive market and what makes TeamSupport different. TeamSupport is the only B2B customer support software solution to offer a Private Cloud to enterprise accounts. that give it a competitive edge?

B2C 59

B2C B2B Enterprise CRM 59

JustCall

DECEMBER 7, 2022

Sales analytics is the process of generating actionable insights from the sales data. But you don’t know how and where to start. Well, there are sales metrics and sales analytics software to take you closer to goals. Read on to know how to track and improve your sales performance by using the right metrics and analytical tools.

Analytics 52

Analytics Sales CRM Metrics 52

Connect

MARCH 29, 2022

Many companies are now leveraging the combined power of cloud platforms and artificial intelligence to customise customer and colleague experience in real-time. This is where cloud platforms and AI intelligence can help broaden the relationships between consumers and brands. However, they aren’t replacing human employees.

Technology 40

Technology Coaching Customer Service Management 40