Fonolo

OCTOBER 8, 2019

Big data is now used to address an increasing variety of business problems, from product launches to fraud and compliance. As retail contact center leaders gear up for the busiest time of the year, big data may be the last thing on their minds. Achieving this data-centric approach to CX may sound quixotic.

Big data 92

Big data Call Center Call Logging Contact Center 92

TechSee

NOVEMBER 20, 2018

Truck rolls cost anywhere from $150 – $500 per event, with that amount easily doubling when considering indirect costs. Utilizing both advanced data analytics and innovative AR remote assistance technology yields a highly efficient solution for customer service operations that directly reduces the need for truck rolls.

Technology 153

Technology Analytics Enterprise Call Center 153

Clarabridge

FEBRUARY 5, 2019

Events bookmark our perception of time and give us a shared cultural experience. Specific events also help keep certain businesses afloat. but by the events for which those items were purchased. Some events take place on specific days, some span weeks or months, and each comes with its own traditions and customs.

Feedback 40

Feedback Sales Marketing Customer Experience 40

Customer Interactions

JANUARY 23, 2014

Big Data is a big business. Companies everywhere are tapping into Big Data to transform themselves. Still, for all its notoriety, Big Data is hard to pin down. Ask 10 different experts what Big Data is and you’ll get 10 different answers.

Big data 32

Big data Analytics Management Marketing 32

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

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. Using a robust method to accurately model distribution over extreme events is crucial for better overall performance.

Calibration 82

Calibration Engineering Big data Automotive 82

Spearline

JULY 13, 2021

Virtual “Live” Events. Since the global pandemic forced live events online, virtual event technology took off in 2020. Virtual event software startup Hopin raised $125 million in Series B funding, raising its status to a double unicorn. million users, and over 50,000 groups hosting events use its software.

Contact Center 98

Contact Center Telecommunications Surveys Analytics 98

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. Data Permission. Data Preparation.

Big data 140

Big data Analytics Metrics Sales 140

DMG Consulting

APRIL 10, 2017

Reality Check: Will Customer Journey Analytics Be the Next CRM? The up-and-comer is customer journey analytics, or CJA, and it’s in the ring with the incumbent, CRM. CJA is succeeding in driving investments in journey mapping and analytics to help companies understand what their customers and prospects are doing at every touch point.

CRM 48

CRM Analytics Journey mapping Interactive Voice Response 48

Talkdesk

JANUARY 16, 2018

Leveraging today’s innovative speech recognition technology and predictive analytics is the key to creating a customer-centric culture in the call center. Leveraging today’s innovative speech recognition technology and predictive analytics is the key to creating a customer-centric culture in the call center.”

Analytics 40

Analytics Call Center Customer centricity Construction 40

Talkdesk

JANUARY 16, 2018

Leveraging today’s innovative speech recognition technology and predictive analytics is the key to creating a customer-centric culture in the call center. Leveraging today’s innovative speech recognition technology and predictive analytics is the key to creating a customer-centric culture in the call center.”

Analytics 40

Analytics Call Center Customer centricity Construction 40

AWS Machine Learning

OCTOBER 2, 2024

You can also use Amazon EventBridge to monitor events related to Amazon Bedrock. This allows you to create rules that invoke specific actions when certain events occur, enhancing the automation and responsiveness of your observability setup (for more details, see Monitor Amazon Bedrock ).

Government 116

Government APIs Enterprise Best practices 116

AWS Machine Learning

SEPTEMBER 11, 2024

The financial services industry (FSI) is no exception to this, and is a well-established producer and consumer of data and analytics. These activities cover disparate fields such as basic data processing, analytics, and machine learning (ML). The union of advances in hardware and ML has led us to the current day.

Benchmark 96

Benchmark Banking Analytics Big data 96

AWS Machine Learning

SEPTEMBER 9, 2022

Affinities are computed either implicitly from the user’s behavioral data or explicitly from topics of interest (such as pop music, baseball, or politics) as provided in their user profiles. This is Part 2 of a series on using data analytics and ML for Amp and creating a personalized show recommendation list platform.

Personalization 80

Personalization APIs Metrics Engineering 80

Jon Arnold

NOVEMBER 2, 2020

Grateful to be busy, but with so many virtual events to follow, it didn’t leave much time for writing. 19 Webinar Preview: What Contact Centers Really Need - Big Analytics, not Big Data , JAA blog, Oct. I thought September was busy, but October was even busier. UC Today, Oct. TechTarget, Oct.

voip 59

voip Big data Analytics Contact Center 59

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. Now you can publish some events to Fiddler in order to observe the model’s performance. Conclusion.

Enterprise 84

Enterprise Engineering Analytics Big data 84

AWS Machine Learning

OCTOBER 16, 2024

Generate metadata Now that DPG Media has the transcription of the audio files, they use LLMs through Amazon Bedrock to generate the various categories of metadata (summaries, genre, mood, key events, and so on). To evaluate the metadata quality, the team used reference-free LLM metrics, inspired by LangSmith.

Engineering 106

Engineering Metrics APIs Big data 106

AWS Machine Learning

APRIL 19, 2023

Streaming ingestion – An Amazon Kinesis Data Analytics for Apache Flink application backed by Apache Kafka topics in Amazon Managed Streaming for Apache Kafka (MSK) (Amazon MSK) calculates aggregated features from a transaction stream, and an AWS Lambda function updates the online feature store.

Engineering 85

Engineering Analytics APIs Enterprise 85

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. He enjoys traveling and reading about historical events.

Engineering 104

Engineering Automotive Finance Government 104

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 124

Finance APIs Analytics Scripts 124

Natalie Petouhof

AUGUST 15, 2022

Ideally, listening uses advanced analytics and artificial intelligence (AI) to uncover issues and opportunities. These systems should capture data from any and every customer touchpoint — website, digital channel, social platform, contact center or IoT device. And it’s a critical step toward showing empathy in customer experiences.

Customer Experience 52

Customer Experience Analytics Surveys Big data 52

CSM Magazine

MAY 30, 2024

Predictive Analytics: AI can predict future customer needs and behaviours, allowing retailers to offer products and services that meet those needs proactively. AI-Driven Analytics AI-driven analytics enable retailers to predict customer needs and provide proactive support.

Government 52

Government Analytics Education Sales 52

Natalie Petouhof

JUNE 4, 2015

Tweet Herman Wimmer, Co-President kicks off the event. Herman says that the guiding priorities of Teradata are: Key Principle #1: Analytic ecosystem: Teradata, DB, UDA, Real-time, Fabric Architecture. Key Principle #2: Big Data Technologies: Aster, Hadoop, Big Data Apps, Apps Center, Open Source Contribution and leverage.

Big data 53

Big data Chief Customer Officer Analytics Consulting 53

AWS Machine Learning

AUGUST 13, 2024

Whenever a new form is loaded, an event is invoked in Amazon SQS. Data Architect, Data Lake at AWS. The Standard from processing steps are as follows: A user upload images of paper forms (PDF, PNG, JPEG) to Amazon Simple Storage Service (Amazon S3), a highly scalable and durable object storage service.

Healthcare 123

Healthcare APIs Consulting Consulting 123

JivoChat

FEBRUARY 13, 2022

Artificial intelligence has been often used to help improve marketing results, for example, through web analytics tools. It’s implemented, for example, to collect and analyze data, enabling us to make data-driven decisions and to build customer profiles. . Have you ever heard of AI marketing? Increase ROI.

Marketing 52

Marketing Big data Analytics CRM 52

AWS Machine Learning

MARCH 15, 2024

When training is complete, choose the System tab to see the training time durations on your edge servers and aggregation events. He entered the big data space in 2013 and continues to explore that area. Choose the Training Status tab and wait for the training run to complete. You can also navigate to the tabs available.

Healthcare 116

Healthcare Big data Engineering Accountability 116

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 113

Metrics Analytics APIs Big data 113

AWS Machine Learning

FEBRUARY 13, 2024

For example, the analytics team may curate features like customer profile, transaction history, and product catalogs in a central management account. Audit trail for compliance – Administrators can monitor feature usage by all accounts centrally using CloudTrail event logs. Audit logs provide centralized visibility into feature usage.

Accountability 126

Accountability Government Engineering Scripts 126

CSM Magazine

MARCH 31, 2020

Now, we’ve gone one step further, exploring the potential of AI to maintain ‘business as usual’ when unexpected events happen. We are offering bots already pre-trained to answer the most frequently asked questions. We can also specially configure CoronaBot to address any company’s unique set of disaster scenarios.”.

Automotive 59

Automotive Transportation Big data Analytics 59

AWS Machine Learning

NOVEMBER 13, 2024

Project members consume assets from the Amazon DataZone catalog and produce new assets using one or more analytical workflows. 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.

Government 98

Government Engineering Metrics APIs 98

AWS Machine Learning

APRIL 18, 2023

Indeed, this approach combines continuous monitoring, predictive analytics, and just-in-time action. By leveraging the latest data export schema , you can obtain sensors connectivity status, gateways connectivity status, measurement classification results, closure reason code and details of asset state transition events.

Management 73

Management Analytics Enterprise Accountability 73

Call Journey

MARCH 26, 2020

As a solution, organizations continue to turn to AI, machine learning, NLP and ultimately the production of big data to monitor and analyze performance. He said, “Through Conversation Analytics, organizations are able to instantly analyze all business conversations occurring between agents and customers.

Analytics 52

Analytics Employee engagement Contact Center Scripts 52

Natalie Petouhof

MAY 11, 2016

To learn more, apply here: https://www.constellationr.com/events/supernova/2016. sensors, smart ‘things’, device to purchase, artificial intelligence). • Data to Decisions – Using data to make informed business decisions. Nominate yourself or someone you know before August 8, 2016. About the SuperNova Awards.

Big data 40

Big data CRM Analytics Enterprise 40

AWS Machine Learning

MAY 3, 2023

The managed cluster, instances, and containers report metrics to Amazon CloudWatch , including usage of GPU, CPU, memory, GPU memory, disk metrics, and event logging. Worse yet, memory could become an issue, resulting in either poor performance or out of memory events causing the entire job to fail.

Engineering 85

Engineering Metrics APIs Big data 85

Totango

SEPTEMBER 1, 2022

In addition to relying on outdated data, the traditional QBR model fails to take advantage of the latest tools for agile innovation in digital technology, AI, and big data analytics. Today’s competitive SaaS company needs a digital, data-driven, AI-powered approach to QBRs for SaaS. Reimagining the SaaS QBR .

SaaS 100

SaaS Journey mapping Upselling Best practices 100

Calabrio

APRIL 25, 2017

While this data is often richer and more complete than real-time data feeds, batch-loading is relatively inefficient for handling very large amounts of real-time data, and performance can suffer when the “refresh” intervals get shortened to minutes, or even seconds. The birth of Big Data.

Multichannel 56

Multichannel Contact Center Big data Metrics 56

AWS Machine Learning

JANUARY 6, 2023

Jessie Danqing Cai, Associate Research Director, Big Data & Analytics Practice, IDC Asia/Pacific. The visual below is part of the MarketScape and shows the AWS position evaluated by capabilities and strategies. Local zones are available to serve customers in ASEAN countries: Thailand, the Philippines, and Vietnam.

Government 77

Government Engineering Big data Marketing 77