AWS Machine Learning

FEBRUARY 21, 2023

With over 35 patents granted across various technology domains, she has a passion for continuous innovation and using data to drive business outcomes. Shelbee is a co-creator and instructor of the Practical Data Science specialization on Coursera. She is also the Co-Director of Women In Big Data (WiBD), Denver chapter.

Best practices 97

Best practices Accountability Metrics Engineering 97

aircall

MAY 24, 2021

By following best practices for your digital transformation framework, you also get the benefit of flexibility so you can add and subtract digital tools as your company’s needs change. 10 Best Practices to Develop a Framework for Digital Transformation. What Is a Digital Transformation Framework?

Best practices 62

Best practices Call Center Analytics Technology 62

AWS Machine Learning

NOVEMBER 12, 2024

In entered the Big Data space in 2013 and continues to explore that area. He is focused on Big Data, Data Lakes, Streaming and batch Analytics services and generative AI technologies. He is actively working on projects in the ML space and has presented at numerous conferences including Strata and GlueCon.

Engineering 117

Engineering Real estate Government Big data 117

AWS Machine Learning

FEBRUARY 1, 2024

Make sure to use best practices for rate limiting, backoff and retry, and load shedding. This pattern achieves a statically stable architecture, which is a resiliency best practice. Although generative AI applications have some interesting nuances, the existing resilience patterns and best practices still apply.

Best practices 137

Best practices Engineering SaaS APIs 137

Tethr

AUGUST 13, 2020

Today, we’re excited to announce a collaboration that will enable organizations to utilize the insights delivered through Tethr with best practices from a name you know and trust. Power consultant provides a review and readout of the results to help further isolate macro issues and prescribe best practices.

Customer Experience 120

Customer Experience Benchmark Best practices Big data 120

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

AWS Machine Learning

OCTOBER 30, 2023

He is passionate about building secure and scalable AI/ML and big data solutions to help enterprise customers with their cloud adoption and optimization journey to improve their business outcomes. Ray Khorsandi is an AI/ML specialist at AWS, supporting strategic customers with AI/ML best practices. With an M.Sc.

APIs 142

APIs Big data Accountability Enterprise 142

AWS Machine Learning

OCTOBER 2, 2024

Managing bias, intellectual property, prompt safety, and data integrity are critical considerations when deploying generative AI solutions at scale. Because this is an emerging area, best practices, practical guidance, and design patterns are difficult to find in an easily consumable basis.

Government 128

Government APIs Enterprise Best practices 128

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.

Big data 140

Big data Analytics Metrics Sales 140

TechSee

AUGUST 7, 2024

Today, CXA encompasses various technologies such as AI, machine learning, and big data analytics to provide personalized and efficient customer experiences. The development of chatbots, automated email responses, and AI-driven customer support tools marked a new era in customer service automation.

Customer Experience 124

Customer Experience Customer Service Interactive Voice Response Chatbots 124

DMG Consulting

AUGUST 17, 2017

Advancements in artificial intelligence (AI), machine learning, Big Data analytics, and mobility are all driving contact center innovation. The success of speech analytics demonstrates how good technology accompanied by best practices is a winning formula for companies that can afford the investment.

Contact Center 69

Contact Center Technology Big data Gamification 69

ClearAction

APRIL 18, 2015

Create CX playbooks & best practice to guide interactions with customers. Data can be insightful to all of the roles HR takes on in facilitating the company’s CX goals. 60% of companies are now investing in big data and analytics to make HR more data driven. —@iamLivingston.

Customer Experience 96

Customer Experience Employee engagement Big data Customer centricity 96

AWS Machine Learning

JULY 19, 2023

We discuss the solution architecture and best practices for managing model card versions, and walk through how to set up, operationalize, and govern the model card integration with the model version in the model registry. Model cards are part of the best practices for responsible and transparent ML development.

Government 98

Government Best practices Metrics Enterprise 98

TechSee

APRIL 3, 2018

While people and processes continue to play an essential role in reducing customer churn , the technological advancement associated with AI, Big Data analytics, visualization, voice analytics, and other advanced technologies that improve the customer experience offer a critical boost to the human factor.

Customer retention 141

Customer retention Technology Analytics Technical Support 141

Totango

SEPTEMBER 1, 2022

The traditional fixed quarterly review is being replaced by real-time performance monitoring and artificial intelligence data analysis, enabling you to stay engaged with clients between scheduled reviews. Here we’ll show you how to update your SaaS QBR strategy to keep up with the latest technology and best practices.

SaaS 104

SaaS Journey mapping Upselling Best practices 104

AWS Machine Learning

FEBRUARY 28, 2024

Third, despite the larger adoption of centralized analytics solutions like data lakes and warehouses, complexity rises with different table names and other metadata that is required to create the SQL for the desired sources. Clean up To clean up the resources, you can start by cleaning up your S3 bucket where the data resides.

Engineering 141

Engineering Best practices Analytics Enterprise 141

Callminer

AUGUST 23, 2018

Collecting this valuable speech and text data or over all interaction data is just the first step in managing customer expectations though. No matter what industry you serve, chances are your customers have high expectations. As a contact center, it is your primary responsibility to understand and manage customer expectations.

Metrics 205

Metrics Contact Center Analytics Marketing 205

AWS Machine Learning

NOVEMBER 14, 2023

In the era of big data and AI, companies are continually seeking ways to use these technologies to gain a competitive edge. At the core of these cutting-edge solutions lies a foundation model (FM), a highly advanced machine learning model that is pre-trained on vast amounts of data. tar czvf model.tar.gz -C deepspeed.

Management 119

Management Best practices APIs Calibration 119

Totango

DECEMBER 1, 2021

An agile approach brings the full power of big data analytics to bear on customer success. These benefits give an agile approach a decisive edge over alternatives which put processes and tools ahead of customer interactions. 7 Steps to Bring Agile Innovation to Customer Success.

Government 103

Government Journey mapping Accountability Benchmark 103

AWS Machine Learning

OCTOBER 20, 2023

Governing ML lifecycle at scale is a framework to help you build an ML platform with embedded security and governance controls based on industry best practices and enterprise standards. In addition, this module gives best practice guidance on OU and account structures that are appropriate for supporting your ML and analytics workflows.

Government 133

Government Engineering Accountability Enterprise 133

ConvergeOne

DECEMBER 7, 2021

The underlying technologies of composability include some combination of artificial intelligence (AI), machine learning, automation, container-based architecture, big data, analytics, low-code and no-code development, Agile/DevOps deployment, cloud delivery, and applications with open APIs (microservices).

APIs 79

APIs Big data Analytics Self service 79

AWS Machine Learning

NOVEMBER 8, 2023

By using established patterns or templates, these programs may produce code that more consistently adheres to sustainability best practices. His knowledge ranges from application architecture to big data, analytics, and machine learning.

Analytics 126

Analytics Enterprise Big data Scripts 126

Callminer

SEPTEMBER 14, 2020

Business analysts play an integral role in any industry, but they’re especially vital in call center operations. Responsible for evaluating requirements and existing business processes, business analysts identify areas for improvement and develop and implement solutions.

Call Center 182

Call Center Analytics First call resolution Metrics 182

Callminer

SEPTEMBER 1, 2020

After months of organizing, and re-organizing, we’re proud to say that our first virtual Customer Engagement Transformation Exchange (CETX) was a success! With over a thousand registrants, our inaugural CETX and very first digital conference also marked one of our largest events to date.

Entertainment 182

Entertainment Contact Center Analytics Customer Service 182

AWS Machine Learning

AUGUST 31, 2023

As you scale your models, projects, and teams, as a best practice we recommend that you adopt a multi-account strategy that provides project and team isolation for ML model development and deployment. They provide a fact sheet of the model that is important for model governance. Solutions Architect at Amazon Web Services (AWS).

Government 126

Government Accountability Enterprise Best practices 126

Totango

DECEMBER 16, 2020

Out-of-the-box templates automate the process of defining measurable customer goals, establishing key performance indicators, promoting best practices and tracking performance. Another of the most important new trends in customer success is the application of big data analytics methods powered by artificial intelligence.

Journey mapping 72

Journey mapping Best practices Accountability Big data 72

AWS Machine Learning

FEBRUARY 29, 2024

This approach not only saves time and resources, but also promotes MLOps best practices, contributing to the overall success of ML initiatives. Prior to this role, Hasan led multiple initiatives to develop novel physics-based and data-driven modeling techniques for top energy companies. Hasan Shojaei , is a Sr.

Scripts 125

Scripts Engineering Metrics Best practices 125

AWS Machine Learning

OCTOBER 27, 2022

To achieve these operational benefits, they implemented a number of best practice processes, including a fast data iteration and testing cycle, and parallel testing to find optimal data combinations. Before joining AWS, Josie worked for Amazon Retail and other China and US internet companies as a Growth Product Manager.

APIs 98

APIs Best practices Metrics Government 98

AWS Machine Learning

MARCH 13, 2024

Kesaraju Sai Sandeep is a Cloud Engineer specializing in Big Data Services at AWS. Ankit Soni with total experience of 14 years holds the position of Principal Engineer at NatWest Group, where he has served as a Cloud Infrastructure Architect for the past six years.

Accountability 124

Accountability Engineering Enterprise Big data 124

AWS Machine Learning

JUNE 12, 2024

He helps organizations in achieving specific business outcomes by using data and AI, and accelerating their AWS Cloud adoption journey. He has extensive experience across big data, data science, and IoT, across consulting and industrials. Deba is a Senior Architect on the AWS GenAI Labs team.

APIs 137

APIs Enterprise Accountability Feedback 137

Vcaretec

JUNE 6, 2022

Market research & trends, best practices, tech. Connect: @AnnaSabryan Greg Sherry Bio: Software marketing VP | Tweet about Marketing, Customer Service, Customer Experience, Analytics, Big Data. Connect: @AlHopper_ Kate Leggett Bio: VP and Principal Analyst at Forrester Research for CRM and Customer Service.

Customer Care 98

Customer Care Chief Customer Officer CRM Wireless 98

AWS Machine Learning

SEPTEMBER 9, 2022

She assists customers in adopting best practices while deploying solution in AWS, and is a Analytics and ML enthusiast. Data Engineer for Amp on Amazon. He works to design, build, and deploy Big Data solutions on AWS that drive actionable insights. Tulip Gupta is a Solutions Architect at Amazon Web Services.

Personalization 97

Personalization APIs Metrics Engineering 97

AWS Machine Learning

SEPTEMBER 9, 2022

She assists customers in adopting best practices while deploying solution in AWS, and is a Analytics and ML enthusiast. Data Engineer for Amp on Amazon. He works to design, build, and deploy Big Data solutions on AWS that drive actionable insights. Tulip Gupta is a Solutions Architect at Amazon Web Services.

Analytics 96

Analytics Engineering Metrics APIs 96

C3Centricity

OCTOBER 22, 2018

In fact, this is one of the most important uses of Big Data, both now and for the foreseeable future. This is one of the most important uses of Big Data, both now and for the foreseeable future. Personalisation has become essential in all engagements between companies and their customers.

Healthcare 114

Healthcare Customer Service Customer centricity CRM 114

Natalie Petouhof

JUNE 9, 2015

MY POV: The solution is to formalizing an interdepartmental, multi-functional department collaboration using strategy, technology and best practices for customer experience management. Evolve commerce with interaction and behavior pattern analytics by putting big data to work. Strive for unity among channel connectivity.

Management 68

Management CRM Government Big data 68

Cincom

JANUARY 31, 2025

Companies use advanced technologies like AI, machine learning, and big data to anticipate customer needs, optimize operations, and deliver customized experiences. Creating robust data governance frameworks and employing tools like machine learning, businesses tend derive actionable insights to achieve a competitive edge.

CRM 40

CRM Analytics Automotive Technology 40

AWS Machine Learning

JUNE 25, 2024

With over 35 patents granted across various technology domains, she has a passion for continuous innovation and using data to drive business outcomes. Shelbee is a co-creator and instructor of the Practical Data Science specialization on Coursera. She is also the Co-Director of Women In Big Data (WiBD), Denver chapter.

Metrics 121

Metrics APIs Government Big data 121