Branch Mesenger

MAY 2, 2018

Using Big Data to Make Leadership Advances in the Workplace. While surveys that lead to these results are historically what we’ve had to understand engagement metrics, analytics are far more important. They determined that just a negligible increase in engagement netted a specific store a big boost in sales.

Engineering 74

Engineering Morale Employee engagement Big data 74

AWS Machine Learning

FEBRUARY 2, 2023

With advanced analytics derived from machine learning (ML), the NFL is creating new ways to quantify football, and to provide fans with the tools needed to increase their knowledge of the games within the game of football. The data distribution for punt and kickoff are different.

Calibration 73

Calibration Engineering Big data Automotive 73

AWS Machine Learning

FEBRUARY 15, 2024

With the use of cloud computing, big data and machine learning (ML) tools like Amazon Athena or Amazon SageMaker have become available and useable by anyone without much effort in creation and maintenance. This dilemma hampers the creation of efficient models that use data to generate business-relevant insights.

Metrics 89

Metrics Analytics APIs Big data 89

AWS Machine Learning

DECEMBER 21, 2022

As feature data grows in size and complexity, data scientists need to be able to efficiently query these feature stores to extract datasets for experimentation, model training, and batch scoring. Table formats provide a way to abstract data files as a table. Note you will need to use Athena engine version 3.

Scripts 72

Scripts Engineering APIs Big data 72

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 120

Best practices Government Engineering Accountability 120

AWS Machine Learning

JULY 24, 2023

This blog post was co-authored, and includes an introduction, by Zilong Bai, senior natural language processing engineer at Patsnap. They use big data (such as a history of past search queries) to provide many powerful yet easy-to-use patent tools. Zilong Bai is a senior natural language processing engineer at Patsnap.

APIs 65

APIs Engineering Construction Benchmark 65

Real Blue Sky

NOVEMBER 16, 2022

When paired with chatbots or natural language engines, AI can identify a repeat caller, ask if the prior issue was resolved and, if not, serve up a specialized agent with pertinent details from the prior encounter (including transcriptions), to set the stage for full resolution. Use predictive data for marketing.

Customer Experience 52

Customer Experience Chatbots CRM Analytics 52

Real Blue Sky

NOVEMBER 16, 2022

When paired with chatbots or natural language engines, AI can identify a repeat caller, ask if the prior issue was resolved and, if not, serve up a specialized agent with pertinent details from the prior encounter (including transcriptions), to set the stage for full resolution. Use predictive data for marketing.

Customer Experience 52

Customer Experience Chatbots CRM Analytics 52

Real Blue Sky

NOVEMBER 16, 2022

When paired with chatbots or natural language engines, AI can identify a repeat caller, ask if the prior issue was resolved and, if not, serve up a specialized agent with pertinent details from the prior encounter (including transcriptions), to set the stage for full resolution. Use predictive data for marketing.

Customer Experience 52

Customer Experience Chatbots CRM Analytics 52

Xaqt

JUNE 22, 2020

The innovation quagmire in the Call Center Reporting and Analytics space is rooted in three key issues: Vendor's who's contact center suites are an amalgamation of various acquisitions, such as: Cisco, Avaya, Genesys, NICE and Verint have done a poor job of providing integrated data and reporting across their own portfolios.

Call Center 52

Call Center Contact Center Analytics Engineering 52

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

Xaqt

FEBRUARY 6, 2020

Back then, Artificial Intelligence, APIs, Robotic Process Automation (RPA), and even "Big Data" weren't things yet. The topics de jour were web services, service orientated architectures (SOA), Computer Telephony Integration (CTI), SIP was coming of age, and analytics for the sake of analytics.

Contact Center 52

Contact Center Enterprise Call Center APIs 52

Clarabridge

FEBRUARY 14, 2017

Then, they used text analytics to review data from the maintenance logs of those planes. Because of this root cause analysis, the engineering team redesigned the headrest fastening system. Because of this root cause analysis, the engineering team redesigned the headrest fastening system.

Engineering 53

Engineering Metrics Analytics Feedback 53

Clarabridge

FEBRUARY 14, 2017

Then, they used text analytics to review data from the maintenance logs of those planes. Because of this root cause analysis, the engineering team redesigned the headrest fastening system. Because of this root cause analysis, the engineering team redesigned the headrest fastening system.

Engineering 40

Engineering Metrics Analytics Feedback 40

Clarabridge

FEBRUARY 14, 2017

Then, they used text analytics to review data from the maintenance logs of those planes. Because of this root cause analysis, the engineering team redesigned the headrest fastening system. Because of this root cause analysis, the engineering team redesigned the headrest fastening system.

Engineering 40

Engineering Metrics Analytics Feedback 40

AWS Machine Learning

MARCH 15, 2024

Randy has held a variety of positions in the technology space, ranging from software engineering to product management. He entered the big data space in 2013 and continues to explore that area. Prior to joining AWS, Arnab was a technology leader and previously held architect and engineering leadership roles.

Healthcare 104

Healthcare Big data Engineering Accountability 104

Enghouse Interactive

JULY 10, 2018

Contact Babel 2017 DMG says, “It can be stated with some confidence that first-contact resolution is seen as the key to a successful contact center: 76% of the report’s respondents place first-contact resolution as being one of the top 3 metrics that are most influential on customer satisfaction, with 31% stating it as being no.1.”.

Self service 40

Self service CRM Contact Center Analytics 40

AWS Machine Learning

JANUARY 4, 2024

Specifically, we discuss the following: Why do we need Text2SQL Key components for Text to SQL Prompt engineering considerations for natural language or Text to SQL Optimizations and best practices Architecture patterns Why do we need Text2SQL? Effective prompt engineering is key to developing natural language to SQL systems.

Best practices 117

Best practices Enterprise Engineering APIs 117

AWS Machine Learning

NOVEMBER 24, 2023

With that, the need for data scientists and machine learning (ML) engineers has grown significantly. Data scientists and ML engineers require capable tooling and sufficient compute for their work. JuMa is now available to all data scientists, ML engineers, and data analysts at BMW Group.

Engineering 71

Engineering Analytics Government Self service 71

Vistio

OCTOBER 5, 2021

And you can look at various specific areas such as data analytics, big data, being able to study patterns within data, using artificial intelligence or using machine learning to actually gather up every customer interaction, and remember the original problem and the solution. Like analytics, AI, machine learning.

Chatbots 52

Chatbots Contact Center Banking Technology 52

AWS Machine Learning

DECEMBER 18, 2023

Among all, the native time series capabilities is a standout feature, making it ideal for a managing high volume of time-series data, such as business critical application data, telemetry, server logs and more. With efficient querying, aggregation, and analytics, businesses can extract valuable insights from time-stamped data.

Finance 102

Finance APIs Analytics Scripts 102

AWS Machine Learning

JULY 21, 2022

As a result, this experimentation phase can produce multiple models, each created from their own inputs (datasets, training scripts, and hyperparameters) and producing their own outputs (model artifacts and evaluation metrics). We also illustrate how you can track your pipeline workflow and generate metrics and comparison charts.

Metrics 76

Metrics Scripts Enterprise Telecommunications 76

AWS Machine Learning

JULY 25, 2022

With other standard metrics, the improvement ranged from 50–130%. This performance enabled us to better match traders and bonds, indicating an enhanced trader experience within the model, with machine learning delivering a big step forward from hard-coded rules, which can be difficult to scale.

Scripts 69

Scripts Engineering Analytics APIs 69

AWS Machine Learning

JULY 14, 2022

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. The notebook also provides a sample dataset to run Fiddler’s explainability algorithms and as a baseline for monitoring metrics.

Enterprise 74

Enterprise Engineering Analytics Big data 74

ClearAction

APRIL 18, 2015

Use group sharing engines to share documents with strategies and knowledge across departments. Focus employee metrics more on CX enabling behaviors, less on survey ratings. Data can be insightful to all of the roles HR takes on in facilitating the company’s CX goals. Here are ways HR can help: Knowledge Management.

Customer Experience 96

Customer Experience Employee engagement Big data Analytics 96

AWS Machine Learning

SEPTEMBER 9, 2022

Consequently, maintaining and augmenting older projects required more engineering time and effort. In addition, as new data scientists joined the team, knowledge transfers and onboarding took more time, because synchronizing local environments included many undocumented dependencies. Cluster security using multi-user isolation.

Engineering 74

Engineering Healthcare APIs Scripts 74

Calabrio

APRIL 25, 2017

One of the most confounding challenges for modern contact center leaders is reporting on any performance metric that requires information from more than one system or application, each of which is a self-contained silo of data. Traditionally contact centers have been dealing with two main data challenges. Real-time data.

Multichannel 56

Multichannel Contact Center Big data Metrics 56

AWS Machine Learning

JULY 29, 2022

Customer satisfaction is a potent metric that directly influences the profitability of an organization. Node.js > 16 – Open-source JavaScript backend engine for application development and deployment. Vamshi is focused on Language AI and innovates in building world-class recommender engines. on an Amazon EC2 Instance.

Contact Center 94

Contact Center Interactive Voice Response Self service Accountability 94

AWS Machine Learning

JUNE 24, 2022

To overcome this, enterprises needs to shape a clear operating model defining how multiple personas, such as data scientists, data engineers, ML engineers, IT, and business stakeholders, should collaborate and interact; how to separate the concerns, responsibilities, and skills; and how to use AWS services optimally.

Enterprise 87

Enterprise Engineering Accountability APIs 87

Calabrio

APRIL 25, 2017

One of the most confounding challenges for modern contact center leaders is reporting on any performance metric that requires information from more than one system or application, each of which is a self-contained silo of data. Traditionally contact centers have been dealing with two main data challenges. Real-time data.

Multichannel 40

Multichannel Contact Center Big data Metrics 40

Calabrio

APRIL 25, 2017

One of the most confounding challenges for modern contact center leaders is reporting on any performance metric that requires information from more than one system or application, each of which is a self-contained silo of data. Traditionally contact centers have been dealing with two main data challenges. Real-time data.

Multichannel 40

Multichannel Contact Center Big data Metrics 40

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. To improve productivity, all the required parts and correct tools need to be available for the engineers at each stage of production. Edge computing.

Transportation 75

Transportation APIs Big data Wireless 75

AWS Machine Learning

DECEMBER 12, 2022

Model performance metrics. Yuxin earned her MS from Stanford University, where she focused on deep learning and big data analytics. Yingmao Timothy Li is a Data Scientist with AWS. in Electrical Engineering. In our experiment, the model took slightly longer than one hour to complete training.

Automotive 71

Automotive Big data Engineering Analytics 71

AWS Machine Learning

JANUARY 26, 2023

SageMaker then determines the best model candidate with the optimal hyperparameters based on the objective metric configured. The Best Egg data science team uses Amazon SageMaker Studio for building and running Jupyter notebooks. SageMaker processing jobs run feature engineering pipelines on the input dataset to generate features.

Finance 72

Finance Engineering Big data Banking 72

AWS Machine Learning

MAY 1, 2023

Data Wrangler reduces the time it takes to aggregate and prepare data for ML from weeks to minutes. He has a passion to design, create, and promote human-centered data and analytics experiences. Lu Huang is a Senior Product Manager on Data Wrangler. She’s passionate about AI, machine learning, and big data.

Scripts 89

Scripts Big data Engineering Enterprise 89