TechSee

OCTOBER 9, 2018

According to Accenture , Millennials have overtaken Baby Boomers as the largest consumer demographic, expected to account for 30% of retail sales — that’s $1.4 With big data and advanced analytics readily available, companies can provide Millennials with the acknowledgement they demand. Pay attention.

Customer Service 359

Customer Service Self service Virtual Agent Chatbots 359

AWS Machine Learning

OCTOBER 20, 2023

This framework addresses challenges by providing prescriptive guidance through a modular framework approach extending an AWS Control Tower multi-account AWS environment and the approach discussed in the post Setting up secure, well-governed machine learning environments on AWS.

Government 95

Government Engineering Accountability Enterprise 95

AWS Machine Learning

FEBRUARY 29, 2024

In this post, we present a framework for automating the creation of a directed acyclic graph (DAG) for Amazon SageMaker Pipelines based on simple configuration files. The framework code and examples presented here only cover model training pipelines, but can be readily extended to batch inference pipelines as well.

Scripts 86

Scripts Engineering Metrics Best practices 86

C3Centricity

MAY 25, 2020

A 2015 Capgemini and EMC study called “Big & Fast Data: The rise of Insight-Driven Business” showed that: 56% of the 1,000 senior decision makers surveyed claim that their investment in big data over the next three years will exceed past investment in information management.

Technology 77

Technology Big data Analytics Personalization 77

AWS Machine Learning

MARCH 8, 2023

It also provides common ML algorithms that are optimized to run efficiently against extremely large data in a distributed environment. Store your Snowflake account credentials in AWS Secrets Manager. Ingest the data in a table in your Snowflake account. Launch a SageMaker Training job for training the ML model.

Scripts 98

Scripts Accountability Enterprise Management 98

CustomerSuccessBox

MAY 30, 2022

This scenario precisely presents the “ Watermelon Effect ”. Now, the concern here is that as a CSM, you could easily overlook a ‘green’ customer account thinking it to be a healthy one! They’re a BIG churn risk. Out of 1000 data points, a mere 10-20 are monitored. Just imagine the enormity of untracked data.

Upselling 52

Upselling Calibration Engineering Big data 52

NobelBiz

APRIL 30, 2024

This evolution has been driven by advancements in machine learning, natural language processing, and big data analytics. These recommendations are highly personalized, increasing the likelihood of conversion by presenting customers with options that resonate with their specific preferences and needs.

Call Center 105

Call Center Chatbots Virtual Agent Contact Center 105

NobelBiz

APRIL 30, 2024

This evolution has been driven by advancements in machine learning, natural language processing, and big data analytics. These recommendations are highly personalized, increasing the likelihood of conversion by presenting customers with options that resonate with their specific preferences and needs.

Call Center 104

Call Center Chatbots Virtual Agent Contact Center 104

AWS Machine Learning

FEBRUARY 28, 2024

Athena also allows us to use a multitude of supported endpoints and connectors to cover a large set of data sources. After we walk through the steps to build the solution, we present the results of some test scenarios with varying SQL complexity levels. Here, the output is presented to the user.

Engineering 106

Engineering Best practices Analytics Enterprise 106

AWS Machine Learning

AUGUST 29, 2023

The presented MLOps workflow provides a reusable template for managing the ML lifecycle through automation, monitoring, auditability, and scalability, thereby reducing the complexities and costs of maintaining batch inference workloads in production. The central model registry could optionally be placed in a shared services account as well.

Scripts 70

Scripts APIs Enterprise Accountability 70

AWS Machine Learning

FEBRUARY 2, 2023

Next, we present the data preprocessing and other transformation methods applied to the dataset. Finally, we present the model performance results. The data preprocessing and feature engineering was adapted from the winner of the NFL Big Data Bowl competition on Kaggle. We first describe the dataset used.

Calibration 72

Calibration Engineering Big data Automotive 72

AWS Machine Learning

JULY 29, 2022

Reviewing the Account Balance chatbot. As an example, this demo deploys a bot to perform three automated tasks, or intents : Check Balance , Transfer Funds , and Open Account. For example, the Open Account intent includes four slots: First Name. Account Type. Complete the following steps: Log in to your AWS account.

Contact Center 91

Contact Center Interactive Voice Response Self service Accountability 91

C3Centricity

MARCH 15, 2018

A 2015 Capgemini and EMC study called “Big & Fast Data: The rise of Insight-Driven Business” showed that: 56% of the 1,000 senior decision makers surveyed claim that their investment in big data over the next three years will exceed past investment in information management.

Big data 82

Big data Analytics Personalization Entertainment 82

AWS Machine Learning

FEBRUARY 13, 2024

SageMaker provides end-to-end ML development, deployment, and monitoring capabilities such as a SageMaker Studio notebook environment for writing code, data acquisition, data tagging, model training, model tuning, deployment, monitoring, and much more.

Engineering 94

Engineering Gamification Scripts Big data 94

Lumoa

MAY 16, 2024

Workflow significantly impacts productivity, and data scientists prefer Jupyter Notebooks for their faster iteration cycles. This preference is closely tied to the “ Roman Census approach ” central to Big Data. When a data scientist prepares gigabytes of data or a large model, it might take seconds or minutes.

Engineering 83

Engineering Banking Metrics Big data 83

AWS Machine Learning

JUNE 30, 2022

This presents an undesired threat vector for exfiltration and gaining access to customer data when proper access controls are not enforced. Studio supports a few methods for enforcing access controls against presigned URL data exfiltration: Client IP validation using the IAM policy condition aws:sourceIp.

APIs 76

APIs Enterprise Big data Accountability 76

Squelch

AUGUST 6, 2019

She currently serves as SVP of Global Customer Success at Guavus , which she describes as “a big data real-time analytics company supporting the largest and most complex data infrastructures in the world.”. I actually just presented at an AI conference recently, and I love to do things like that.

Engineering 74

Engineering Big data Analytics Technology 74

AWS Machine Learning

AUGUST 2, 2023

We demonstrate CDE using simple examples and provide a step-by-step guide for you to experience CDE in an Amazon Kendra index in your own AWS account. A centralized data lake with informative data catalogs would reduce duplication efforts and enable wider sharing of creative content and consistency between teams.

Enterprise 69

Enterprise Healthcare APIs Big data 69

Answer Dash

SEPTEMBER 19, 2017

The ability for companies to collect, store, and manage vast amounts of digital information has paved the way for big data to shape corporate strategy for a variety of departments. Which leads to another challenge surrounding cognitive AI—knowing what data to collect. Then figure out what to do later.”

Customer Experience 59

Customer Experience Big data Chief Customer Officer Technology 59

AWS Machine Learning

JULY 29, 2022

It’s aligned with the AWS recommended practice of using temporary credentials to access AWS accounts. At the time of this writing, you can create only one domain per AWS account per Region. To implement the strong separation, you can use multiple AWS accounts with one domain per account as a workaround.

Management 70

Management APIs Accountability Construction 70

TeamSupport

DECEMBER 6, 2019

It also launched "big data" into the mainstream, and support teams had more information about their customers than ever before. Assuming you have historical customer and data in your support software solution, machine learning can be powerful in driving interactions that matter.

B2B 80

B2B Customer Support Self service Big data 80

AWS Machine Learning

FEBRUARY 21, 2023

MLOps includes practices that integrate ML workloads into release management, CI/CD, and operations, accounting for the unique aspects of ML projects, including considerations for deploying and monitoring models. In a broader model development picture, models are typically trained in a data science development account.

Best practices 68

Best practices Accountability Metrics Engineering 68

TechSee

MARCH 7, 2019

With this high turnover presenting a significant challenge to contact centers in terms of cost, productivity and morale, it is not surprising that there’s an ongoing global trend towards fostering agent development and enhancing their day-to-day activities.

Gamification 104

Gamification Contact Center Agent Empowerment Self service 104

AWS Machine Learning

SEPTEMBER 6, 2023

Prerequisites To try out the Amazon Kendra connector for AEM using this post as a reference, you need the following: An AWS account with privileges to create AWS Identity and Access Management (IAM) roles and policies. She is passionate about designing big data workloads cloud-natively. Choose Save or Add Secret.

Management 90

Management Enterprise Analytics Finance 90

Tethr

DECEMBER 7, 2020

But, it turns out, failing to resolve the issue a customer contacts the company about (what we call in the book “explicit issue failures”) only accounts for half of total callbacks. When I present research from The Effortless Experience , this is one of the most frequent questions I get. Step three: Analyze.

Coaching 72

Coaching Banking Customer effort Wireless 72

AWS Machine Learning

MARCH 30, 2023

Although tallying the total number of saves a goalkeeper makes during a match can be informative, it doesn’t account for variations in the difficulty of the shots faced. The information also gets stored in a data lake for future auditing and model improvements. The following diagram illustrates this architecture.

Telecommunications 67

Telecommunications Consulting Consulting Big data 67

CSM Magazine

JULY 19, 2017

Chargebacks are charges debited against a vendor’s account, after a customer disputes a charge on their credit card bill and their credit card issuer finds in their favor. Is it a free account from a provider which requires very little information for an account? Big Data to the rescue: Use your data of previous transactions.

Big data 49

Big data Accountability Banking Sales 49

Squelch

AUGUST 6, 2019

She currently serves as SVP of Global Customer Success at Guavus , which she describes as “a big data real-time analytics company supporting the largest and most complex data infrastructures in the world.”. I actually just presented at an AI conference recently, and I love to do things like that.

Engineering 40

Engineering Big data Analytics Technology 40

C3Centricity

OCTOBER 12, 2014

Big data and analytics, with how they will impact predictive modelling and the marketing mix. Following on from the opportunities of Big Data, the next concern is Marketing Accountability and its ROI. Start with the right question and then use the data you have to answer it. (>> Tweet this <<).

Marketing 48

Marketing Big data Analytics Accountability 48

Stratifyd

DECEMBER 20, 2018

Key accountabilities & responsibilities. Create slide decks, presentations, digital material, weekly blogs, and scripts for animations and videos. Highly developed organizational, time management, presentation, and planning skills. Experience and/or knowledge of AI, Big Data, Tech.

Marketing 40

Marketing Brand ambassadors Healthcare Scripts 40

ChurnZero

OCTOBER 22, 2020

Integration with voice of the customer and account-based marketing platforms will help with these goals. The role of Customer Success in keeping SaaS companies alive is too substantial to wing it by relying on a homegrown solution that accounts for a fraction of an outsourced product’s functionality. Not to mention the maintenance.

CRM 59

CRM Customer retention Technology Best practices 59

Clarabridge

OCTOBER 25, 2017

Journey analytics combines big data technology, advanced analytics, and functional expertise to help companies perfect their customer journeys. To map them, it leverages millions of data points across customers, channels, and touchpoints ” – McKinsey. 4- Take action.

Analytics 40

Analytics Feedback Big data Banking 40

Totango

JANUARY 26, 2021

A customer churn analysis is an investigation that uses big data analytics methods to go beyond churn rate and identify underlying factors promoting customer churn. For a comprehensive analysis, use a systematic customer churn analysis checklist that takes into account potential problems from each stage of your customer journey.

Customer retention 89

Customer retention Sales Marketing Big data 89

AWS Machine Learning

JULY 24, 2023

They use big data (such as a history of past search queries) to provide many powerful yet easy-to-use patent tools. Build your own container The container’s file directory is presented in the following code. get_caller_identity()['Account'] region = boto3.Session().region_name Specifically, Dockerfile and build.sh

APIs 65

APIs Engineering Construction Benchmark 65

Totango

FEBRUARY 26, 2021

Let the data make the sale for you. Have your customer’s account manager sit down with them and ask them some good discovery questions to identify what benefits are important to them and what key performance indicators matter to them. Look at the data. You have data. But don’t get caught up in the “big data” hype.

Customer advocacy 62

Customer advocacy Accountability Sales Enterprise 62

Branch Mesenger

MAY 2, 2018

Using Big Data to Make Leadership Advances in the Workplace. Back to Best Buy’s learnings they presented at the Future Miami convention earlier this year, they showed that in addition to dropping employee turnover, they also wanted to focus on retaining their best employees with newer styles of training.

Engineering 74

Engineering Morale Employee engagement Big data 74

AWS Machine Learning

DECEMBER 1, 2022

The Model dashboard is a centralized repository of all models that have been created in the account. The Model dashboard offers a rich set of information regarding the overall model ecosystem in an account, in addition to the ability to drill into the specific details of a model. SageMaker Model Dashboard. Conclusion.

Government 75

Government Metrics APIs Engineering 75