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 123

Best practices Government Engineering Accountability 123

Avaya

MAY 9, 2017

It means enterprise leaders having a firm grip on the big data that infuses their organizations. Meanwhile, automation and data analytics have evolved from luxuries to enterprise necessities. appeared first on Avaya Connected Blog. It requires executive buy-in, sponsorship, and steady leadership.

Customer Experience 76

Customer Experience Government Big data Enterprise 76

Natalie Petouhof

SEPTEMBER 21, 2016

Static Analytics – which drives the use of real-time, big-data analytics. Phase 2 is can be using Predictive Analytics which means designing predictive algorithms to transform decisions into proactive instead of reactive decisions and improving products and processes.

Big data 40

Big data CRM Construction Analytics 40

REVE Chat Blog

FEBRUARY 12, 2020

Innovation in data collection, analytics, and channel strategies has enabled financial institutions to diversify means of engaging customers , building better relationships through real time assistance. The customer experience in banking has taken a big leap through proactive communication with customers. Let’s dive in: 1.

Banking 76

Banking Customer Experience Chatbots Big data 76

Natalie Petouhof

OCTOBER 12, 2016

Tweet Digital Performance Management provides companies with the analytics to determine if their customer experience is optimized. DPM vendors help both the business and engineering teams to not only define conversion and revenue goals but also make sure they are reached. Big data monitoring and data visualization  .

Management 55

Management Big data Analytics Engineering 55

Aspect

DECEMBER 27, 2017

In 2018, we should see much better integration with customer data and analytics, bringing customer history, behavioral patterns, and big data into chatbot interactions. tpgoebel to engage in a conversation around the big question of “HOW”! (Or Reach out to me at twitter.com/tpgoebel or m.me/tpgoebel

Chatbots 116

Chatbots Contact Center Interactive Voice Response Enterprise 116

Natalie Petouhof

FEBRUARY 22, 2016

The combination of Contact Solutions advances the Verint Customer Engagement Optimization ™ portfolio with the addition of cloud-based solutions that enhance voice and mobile self-service through automation and analytics-driven personalization. Personalization Engine: Providing Intelligent One to One Service.

Customer Experience 40

Customer Experience Customer Service Self service Analytics 40

Avaya

DECEMBER 6, 2016

Whether you realize it or not, big data is at the heart of practically everything we do today. In today’s smart, digital world, big data has opened the floodgates to never-before-seen possibilities. If you ask us, though, the best customer experiences today are supported by customer journey analytics.

Big data 66

Big data Customer Experience Analytics Self service 66

Lumoa

MAY 16, 2024

How to Improve the Data Science and LLM Development Process Anyone who has worked in data science will recognize this familiar scene: a clever data scientist copies code from a Git repository to a Jupyter notebook , makes some tweaks, and then pastes it back to push it towards production. and “It cannot be happening!”

Engineering 83

Engineering Banking Metrics Big data 83

AWS Machine Learning

NOVEMBER 17, 2022

As data is growing at an exponential rate, organizations are looking to set up an integrated, cost-effective, and performant data platform in order to preprocess data, perform feature engineering, and build, train, and operationalize ML models at scale. In this post, we demonstrate how to implement this solution.

Engineering 64

Engineering Big data Accountability Analytics 64

Natalie Petouhof

MAY 30, 2017

Deep learning has worked it’s way into business language via Artificial Intelligence (AI), Big Data and analytics. The second big idea was that the Internet, with huge increase in the amount of digital information being generated, stored and could be used for analysis.

Big data 49

Big data Government Engineering Analytics 49

Vistio

OCTOBER 5, 2021

He is a former technology director turned communication adviser, writing books and blogs on technology, work, and globalization. You now work predominantly as a communication advisor due to your experience writing books and blogs on technology work and globalization for notable media outlets like Huffington Post and the BBC.

Chatbots 52

Chatbots Contact Center Banking Technology 52

Natalie Petouhof

APRIL 4, 2016

With HoloLens, Volvo engineers can see the soul of the car by virtually stripping the body away so you can see its skeleton. Rather than simply working on the computer, designers and engineers can see features, colors and options, literally giving them the experience of being inside the prototype.

Automotive 40

Automotive Engineering Healthcare Technology 40

AWS Machine Learning

MARCH 10, 2023

Starting today, you can connect to Amazon EMR Hive as a big data query engine to bring in large datasets for ML. Aggregating and preparing large amounts of data is a critical part of ML workflow. For Stack name , enter a name for the stack (for example, dw-emr-hive-blog ). In this blog, we follow the first option.

Engineering 77

Engineering Big data Enterprise Analytics 77

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

AWS Machine Learning

APRIL 19, 2023

This post walks through a complete example of how you can couple streaming feature engineering with Feature Store to make ML-backed decisions in near-real time. Apache Flink is a popular framework and engine for processing data streams. cc_num trans_time amount fraud_label …1248 Nov-01 14:50:01 10.15

Engineering 78

Engineering Analytics APIs Enterprise 78

ConvergeOne

DECEMBER 7, 2021

The purpose of this blog post is to help folks understand why this is important and how it relates specifically to customer experience. This is where we can currently apply some of the remaining components such as AI, machine learning, automation, big data, and analytics.

APIs 90

APIs Big data Analytics Engineering 90

AWS Machine Learning

DECEMBER 8, 2022

In this intensive competitive market, teams want to analyze data and extract more meaningful insights quickly. Customers are adopting more efficient and visual ways to build data processing systems. AWS Glue Data Catalog), and prepare data within a few clicks. In this blog, we follow the first option. Choose Next.

Engineering 65

Engineering Analytics Enterprise Big data 65

AWS Machine Learning

JULY 14, 2022

This is a guest blog post by Danny Brock, Rajeev Govindan and Krishnaram Kenthapadi at Fiddler AI. Through model monitoring, model explainability, analytics, and bias detection, Fiddler provides your company with an easy-to-use single pane of glass to ensure your models are behaving as they should. Conclusion.

Enterprise 76

Enterprise Engineering Analytics Big data 76

ClearAction

APRIL 18, 2015

Use group sharing engines to share documents with strategies and knowledge across departments. Propagate thought leadership: blog/wikis/social media are a great way to tap into peers’ expertise. Data can be insightful to all of the roles HR takes on in facilitating the company’s CX goals. —@tcrawford.

Customer Experience 96

Customer Experience Employee engagement Big data Analytics 96

AWS Machine Learning

SEPTEMBER 9, 2022

This is a guest blog post cowritten with athenahealth. Consequently, maintaining and augmenting older projects required more engineering time and effort. As we noted in the previous section, data scientists perform exploratory data analyses, run data analytics, and train ML models.

Engineering 76

Engineering Healthcare APIs Scripts 76

AWS Machine Learning

JULY 29, 2022

Node.js > 16 – Open-source JavaScript backend engine for application development and deployment. AI/ML specialist SA at AWS and an author who frequently publishes blogs, research papers, and recently a NLP text book. Vamshi is focused on Language AI and innovates in building world-class recommender engines. About the authors.

Contact Center 97

Contact Center Interactive Voice Response Self service Accountability 97

Calabrio

APRIL 25, 2017

Traditionally contact centers have been dealing with two main data challenges. Real-time data. Real-time data is handled by a separate, dedicated real-time engine that feeds a set of separate reports. The birth of Big Data. Today there are technologies that are capable of handling large quantities of data.

Multichannel 56

Multichannel Contact Center Big data Metrics 56

Calabrio

APRIL 25, 2017

Traditionally contact centers have been dealing with two main data challenges. Real-time data. Real-time data is handled by a separate, dedicated real-time engine that feeds a set of separate reports. The birth of Big Data. Today there are technologies that are capable of handling large quantities of data.

Multichannel 40

Multichannel Contact Center Big data Metrics 40

Stratifyd

FEBRUARY 20, 2019

Additionally, we were named a 2018 Cool Vendor in Analytics by Gartner, as well as one of "Charlotte's Best Places to Work" and the 2nd fastest-growing company in Charlotte by the Charlotte Business Journal. Create 4-6 blogs per month. Experience in AI, Big Data, Ecosystems, customer experience, and/or text analytics.

Engineering 40

Engineering Healthcare Big data B2B 40

Calabrio

MARCH 30, 2016

While data science is becoming critical, it’s not necessary to hire a team of scientists—software is becoming more and more sophisticated to help achieve the same results. But that’s just skimming the surface of how data can be used to drive results. Making data science an imperative at a company may be a cultural challenge.

Analytics 40

Analytics contact center workforce Contact Center Engineering 40

Stratifyd

DECEMBER 20, 2018

Additionally, we were named as a "Cool Vendor in Analytics" by Gartner and we were just named one of "Charlotte's Best Places to Work" and the 2nd fastest growing company in Charlotte by the Charlotte Business Journal! Create slide decks, presentations, digital material, weekly blogs, and scripts for animations and videos.

Marketing 40

Marketing Brand ambassadors Healthcare Scripts 40

Natalie Petouhof

SEPTEMBER 3, 2015

Bluenose Analytics offers a customer success platform that allows SaaS businesses to manage customers with complete visibility, a robust early warning system, and built-in playbooks. The CSM software offers a customizable and comprehensive customer health analytics system that can: Highlight users that need more product training.

Management 40

Management Sales Engineering SaaS 40

Calabrio

JANUARY 6, 2016

As more agents are working remotely, in different countries, different time zones and in different languages, the contact center’s systems—for workflow, CRM, analytics—will have to be more tightly integrated. It will be more important than ever to have systems in place to handle all that data, organize it and mine it. Look at 2016.

Contact Center 53

Contact Center Analytics Self service Wireless 53

Amity

JUNE 8, 2016

If you read my other guest post on the Amity blog, you might recognize these customers as Value Destroyers. Once you’ve got your ducks in a row, you can focus on delighting your customers and engineering your portfolio to include the right mix of relationship types. Establish a healthy mix of relationships. It isn’t.

CRM 67

CRM Journey mapping B2C Government 67

AWS Machine Learning

JULY 29, 2022

Blog posts. He develops and codes cloud native solutions with a focus on big data, analytics, and data engineering. If you have any feedback or questions, please leave them in the comments. Further reading. Documentation. AWS Single Sign-On. Attributes for access control. Attribute mappings.

Management 73

Management APIs Accountability Construction 73