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. These companies also recognize the need for governance to manage things like access control, data usage, model performance, and unfair bias.

Government 128

Government Engineering Accountability Enterprise 128

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. Whether it is shopping, healthcare, or manufacturing, digital transformation is about rethinking how things are done to stay competitive in a fast-changing world.

CRM 40

CRM Analytics Automotive Technology 40

Vcaretec

JUNE 6, 2022

When it comes to customer care across major industries, like Retail & E-Commerce, Wireless & Telecommunications, and Healthcare, there are plenty of smart minds out there. Market research & trends, best practices, tech. These experts make up our inaugural list of the Vcare Top 50 Customer Care Influencers.

Customer Care 98

Customer Care Chief Customer Officer CRM Wireless 98

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 2, 2023

It has applications in areas where data is multi-modal such as ecommerce, where data contains text in the form of metadata as well as images, or in healthcare, where data could contain MRIs or CT scans along with doctor’s notes and diagnoses, to name a few use cases.

Enterprise 88

Enterprise Healthcare APIs Big data 88

Taylor Reach Group

MAY 24, 2018

Big Data & Analytics for Retail Summit : June 6-7, Chicago, IL. Customer Contact Europe will prepare you for the future of customer care by providing pragmatic real world experiences, insight, best practices and tools for embracing and accelerating digital transformation. Is it possible to achieve churn reduction?

Contact Center 48

Contact Center Healthcare Best practices Call Center 48

Avaya

NOVEMBER 16, 2016

In fact, research shows that about 90% of all data in the world today was created in just the past few years (2.5 billion GB of data were being produced every day in 2012 alone!) Also, know the origination of your data and what privacy regulations you might need to take depending on the industry in which you operate.

APIs 72

APIs Transportation Enterprise Healthcare 72

Balto

JANUARY 14, 2025

But modern analytics goes beyond basic metricsit leverages technologies like call center data science, machine learning models, and big data to provide deeper insights. Predictive Analytics: Uses historical data to forecast future events like call volumes or customer churn. Immediate access to knowledge bases or FAQs.

Call Center 52

Call Center Analytics Average Handle Time Big data 52

AWS Machine Learning

MARCH 23, 2023

Leidos is a FORTUNE 500 science and technology solutions leader working to address some of the world’s toughest challenges in the defense, intelligence, homeland security, civil, and healthcare markets. He works with government, non-profit, and education customers on big data and analytical projects, helping them build solutions using AWS.

Scripts 117

Scripts APIs Government Analytics 117

AWS Machine Learning

OCTOBER 6, 2023

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. He supports strategic customers with AI/ML best practices cross many industries. Outside of work, he enjoys reading and traveling.

Personalization 134

Personalization Engineering Construction Transportation 134

AWS Machine Learning

SEPTEMBER 9, 2022

Data must be utilized, stored, and accessed in specific ways, and we have embedded robust processes to ensure our practices comply with our legal obligations as well as align with industry best practices. We knew that we could improve efficiencies by consolidating these diverse workflows onto a single platform.

Engineering 92

Engineering Healthcare APIs Scripts 92

AWS Machine Learning

APRIL 19, 2023

He has helped companies in many industries, including insurance, financial services, media and entertainment, healthcare, utilities, and manufacturing. Raj Ramasubbu is a Senior Analytics Specialist Solutions Architect focused on big data and analytics and AI/ML with Amazon Web Services.

Engineering 93

Engineering Analytics APIs Enterprise 93

AWS Machine Learning

NOVEMBER 9, 2023

She holds a master’s degree in Computer Science specialized in Data Science from the University of Colorado, Boulder. Data Lake Architect with AWS Professional Services. She is passionate about solving customer pain points processing big data and providing long-term scalable solutions. Sunita Koppar is a Sr.

Scripts 122

Scripts Accountability Best practices Engineering 122

SmartKarrot

JANUARY 12, 2021

With the growth of technology, the healthcare sector has adopted highly sophisticated technologies like Big data, electronic health/medical record (EHR/EMR) in their software products. With so many tech-companies supplying healthcare-related software products, customer success in healthcare has become an indispensable part.

Healthcare 10

Healthcare Best practices SaaS Customer centricity 10

Balto

OCTOBER 17, 2023

Incorporating AI into ABM strategies involves the following best practices: Harness AI-driven insights to comprehend each account’s unique challenges, goals, and preferences. Leverage AI algorithms for precise micro-segmentation, enabling more personalized messaging. Such insights are nearly impossible to capture manually.

Sales 52

Sales Healthcare Accountability Marketing 52

Balto

OCTOBER 17, 2023

Incorporating AI into ABM strategies involves the following best practices: Harness AI-driven insights to comprehend each account’s unique challenges, goals, and preferences. Leverage AI algorithms for precise micro-segmentation, enabling more personalized messaging. Such insights are nearly impossible to capture manually.

Sales 52

Sales Healthcare Accountability Marketing 52

SmartKarrot

APRIL 17, 2023

Data Security & Privacy in AI Chatbot Communication for Enterprise Business Data security and privacy are critical considerations for any enterprise business using AI chatbots to communicate with customers or employees. Like what you are reading?

Chatbots 10

Chatbots Scripts Enterprise Education 10

AWS Machine Learning

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Best practices 138

Best practices Government Engineering Accountability 138

Stratifyd

JANUARY 3, 2019

Strong knowledge of data structures, algorithms, internet security fundamentals and designing for performance, scalability and availability. Experience and/or knowledge of AI, Big Data, Tech. A strong desire to explore, learn, and share new technologies, programming languages, and frameworks. Stratifyd, Inc.

Engineering 40

Engineering APIs Analytics Healthcare 40

Stratifyd

DECEMBER 20, 2018

Experience researching and reporting on relevant industry trends and best practices to identify opportunities for new or improved SEO content. Experience and/or knowledge of AI, Big Data, Tech. BA/BS degree in Communication, English, Journalism, Marketing, or related field. Demonstrated experience writing blog posts.

Marketing 40

Marketing Brand ambassadors Healthcare Big data 40

AWS Machine Learning

MARCH 5, 2025

In this post, we discuss best practices for applying LLMs to generate ground truth for evaluating question-answering assistants with FMEval on an enterprise scale. By following these guidelines, data teams can implement high fidelity ground truth generation for question-answering use case evaluation with FMEval.

Best practices 77

Best practices Enterprise Metrics Benchmark 77

AWS Machine Learning

JANUARY 30, 2025

First, we assigned the model the persona of an expert in public health, with a focus on improving healthcare outcomes for underserved populations. She leverages her background in economics, healthcare research, and technology to support mission-driven organizations deliver social impact using AWS cloud technology.

Engineering 89

Engineering APIs Healthcare Government 89

AWS Machine Learning

NOVEMBER 7, 2024

We explored multiple big data processing solutions and decided to use an Amazon SageMaker Processing job for the following reasons: It’s highly configurable, with support of pre-built images, custom cluster requirements, and containers. In his spare time, Mones enjoys operatic singing and scuba diving.

Engineering 108

Engineering Automotive Finance Government 108

AWS Machine Learning

NOVEMBER 13, 2024

This transparency is particularly important for registered models, which are often deployed in high-stakes or regulated industries, such as financial services and healthcare. In this post, we discuss a new feature that supports the integration of model cards with the model registry.

Government 109

Government Engineering Metrics APIs 109

AWS Machine Learning

FEBRUARY 7, 2025

SageMaker Projects Portfolio This portfolio contains the SageMaker products to be used by the ML teams to accelerate their ML models development while complying with the organizations best practices. Central model registry This is the centralized place for ML models developed and approved by different teams.

Government 64

Government Engineering Accountability Best practices 64