DMG Consulting

MAY 26, 2020

2019 was the year of artificial intelligence (AI), automation and analytics, a trend that has continued in 2020 and into the foreseeable future, despite the pandemic. Adoption of cloud-based recording is starting to pick up momentum, as is analytics-enabled quality management (QM). . WFO Trends in 2020.

Analytics 96

Analytics Contact Center APIs Consulting 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 77

Personalization APIs Engineering Metrics 77

AWS Machine Learning

MARCH 23, 2023

Homomorphic encryption is a new approach to encryption that allows computations and analytical functions to be run on encrypted data, without first having to decrypt it, in order to preserve privacy in cases where you have a policy that states data should never be decrypted.

Scripts 99

Scripts APIs Government Analytics 99

AWS Machine Learning

DECEMBER 21, 2022

Customers can also access offline store data using a Spark runtime and perform big data processing for ML feature analysis and feature engineering use cases. Table formats provide a way to abstract data files as a table. Apache Iceberg is an open table format for very large analytic datasets.

Scripts 78

Scripts Engineering APIs Big data 78

Hodusoft

AUGUST 30, 2022

Businesses of every size, type, and industry can benefit from using cloud services for a variety of reasons such as: Data backup Software development and testing Email Disaster recovery Virtual desktops Big data analytics Customer-facing web applications, and more. billion by 2023.

APIs 52

APIs Interactive Voice Response Contact Center voip 52

AWS Machine Learning

JULY 24, 2023

They use big data (such as a history of past search queries) to provide many powerful yet easy-to-use patent tools. In this section, we show how to build your own container, deploy your own GPT-2 model, and test with the SageMaker endpoint API. implement the model and the inference API. gpt2 and predictor.py

APIs 71

APIs Engineering Construction Benchmark 71

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 95

Metrics Analytics APIs Big data 95

AWS Machine Learning

NOVEMBER 27, 2023

Let’s invoke the Amazon OpenSearch API to search relevant documents for the generated vector embeddings. His knowledge ranges from application architecture to big data, analytics, and machine learning. Add a custom transform with Python (PySpark). Add a custom transform with Python (PySpark).

Engineering 76

Engineering APIs Big data Accountability 76

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. His expertise spans a broad spectrum, encompassing scalable architectures, distributed computing, big data analytics, micro services and cloud infrastructures for organizations.

Accountability 108

Accountability Government Engineering Scripts 108

AWS Machine Learning

AUGUST 15, 2022

Document is a wrapper function used to help parse the JSON response from the API. It provides a high-level abstraction and makes the API output iterable and easy to get information out of. Anjan works with enterprise customers and is passionate about developing, deploying and explaining AI/ML, data analytics, and big data solutions.

Banking 79

Banking APIs Accountability Analytics 79

DMG Consulting

DECEMBER 10, 2018

The “platform as a service” paradigm, which essentially leverages application programming interfaces (APIs) to build out functional capabilities, makes it easier to build your own solution (BYOS). It’s undeniable that contact center platform vendors are having a highly positive disruptive impact on the pace of innovation in the CBCCI sector.

Contact Center 75

Contact Center contact center solutions CRM Enterprise 75

AWS Machine Learning

AUGUST 2, 2023

With AI-powered tools and analytics, it has become easier than ever to build not just one story but customized stories to appear to end-users’ unique tastes and sensibilities. After ingestion, images can be searched via the Amazon Kendra search console, API, or SDK. Tanvi Singhal is a Data Scientist within AWS Professional Services.

Enterprise 76

Enterprise Healthcare APIs Big data 76

AWS Machine Learning

JULY 19, 2022

We set the OutputFormat to mp3 , which tells Amazon Polly to generate an audio stream for this API call. We again use the start_speech_synthesis_task method but specify OutputFormat to json , which tells Amazon Polly to generate speech marks for this API call. He is passionate about machine learning and natural language processing.

Engineering 89

Engineering APIs Education Best practices 89

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

Natalie Petouhof

MAY 27, 2016

Digital Transformation: Customer Engagement, CRM, Innovation, Customer Experience, Customer Service, The Cloud and Analytics. • ROI Of Customer Service & Customer Experience. • Tweet If you are wondering what I have been up to lately, I thought I would put all the research I have published into one place.

CRM 40

CRM Automotive Analytics Big data 40

Natalie Petouhof

FEBRUARY 24, 2016

Big Data & Analytics. particulates and provide insightful analytics on air quality. Global companies are setting up GICs to harness new technologies such as social, mobile, analytics and cloud. Their areas of focus are: . Machine Intelligence. Infrastructure & Cloud. Collaboration & Design.

Government 40

Government Consulting Consulting Analytics 40

AWS Machine Learning

JANUARY 26, 2024

Define strict data ingress and egress rules to help protect against manipulation and exfiltration using VPCs with AWS Network Firewall policies. 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.

Best practices 125

Best practices Government Engineering Accountability 125

Callminer

JULY 15, 2019

This virtual conference will cover a ranging of topics, expert speakers, partners and customers about better customer and agent experiences through speech analytics. This is a great opportunity to listen, watch, and learn the latest CX analytics information out there! Text and Speech Analytics are Not Created Equal.

Telecommunications 28

Telecommunications Contact Center Analytics Employee engagement 28

AWS Machine Learning

MAY 3, 2023

Furthermore, SageMaker Processing provides an API interface for running, monitoring, and evaluating the workload. He has extensive experience in Big Data Analytics, Distributed Computing, and Natural Language Processing. Sharmo Sarkar is a Senior Manager at Vericast.

Engineering 74

Engineering Metrics APIs Big data 74

CSM Magazine

JULY 28, 2015

Designing mobile hooks, leveraging new APIs to enhance the existing call flow and creating omni-channel content delivery is outside the scope of most call center operations. The challenge for many providers is executing on this vision.

Call Center 45

Call Center Customer Service Call flow Abandon rate 45

Enghouse Interactive

JULY 10, 2018

For Partner Colorado, Enghouse’s use of open APIs allows integration with the in-house CRM. Instead of having to toggle back and forth between different screens and applications, agents proactively receive relevant and useful data on callers via ScreenPop. Use journey analytics to drive better experiences.

Self service 40

Self service CRM Contact Center Analytics 40

AWS Machine Learning

OCTOBER 4, 2022

One of the main drivers for new innovations and applications in ML is the availability and amount of data along with cheaper compute options. Although you can configure a local data path for many of the local pipeline steps, Amazon S3 is the default location to store the data output by the transformation.

Scripts 77

Scripts Engineering Management APIs 77

Dialer 360

DECEMBER 14, 2018

Business is getting deeper into predictive analytics by using AI applications. These offer applications with open APIs provide a new level of customization and integration. Better Call Center Analytics. even small business is taking advantage of sophisticated analytics to turn data. Personalization.

Call Center 21

Call Center Analytics Customer centricity APIs 21

AWS Machine Learning

MARCH 22, 2023

Snowflake is a cloud data platform that provides data solutions for data warehousing to data science. Snowflake is an AWS Partner with multiple AWS accreditations, including AWS competencies in machine learning (ML), retail, and data and analytics. Configure Snowflake. Configure SageMaker Studio.

APIs 85

APIs Engineering Analytics Scripts 85

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 107

Finance APIs Analytics Scripts 107

AWS Machine Learning

JANUARY 4, 2024

Today, a large amount of data is available in traditional data analytics, data warehousing, and databases, which may be not easy to query or understand for the majority of organization members. In entered the Big Data space in 2013 and continues to explore that area. Arghya Banerjee is a Sr.

Best practices 122

Best practices Enterprise Engineering APIs 122

AWS Machine Learning

NOVEMBER 17, 2023

Generative AI models have the potential to revolutionize enterprise operations, but businesses must carefully consider how to harness their power while overcoming challenges such as safeguarding data and ensuring the quality of AI-generated content.

APIs 98

APIs Enterprise Big data Chatbots 98

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 90

APIs Big data Analytics Engineering 90

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 83

Engineering Analytics APIs Enterprise 83

AWS Machine Learning

SEPTEMBER 6, 2023

Perform intelligent search with Amazon Kendra Before you try searching on the Amazon Kendra console or using the API, make sure that the data source sync is complete. To check, view the data sources and verify if the last sync was successful. She is passionate about designing big data workloads cloud-natively.

Management 100

Management Enterprise Analytics Finance 100

AWS Machine Learning

JULY 25, 2022

For production, we wanted to invoke the model as a simple API call. We found that we didn’t need to separate data preparation, model training, and prediction, and it was convenient to package the whole pipeline as a single script and use SageMaker processing. Packaging the solution as a scalable workflow.

Scripts 74

Scripts Engineering Analytics APIs 74

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

aircall

APRIL 16, 2021

SaaS works well for a variety of general use cases, including: Data backup. Big data analytics. Flexibility – SaaS uses an open API (application programming interface) technology. Use Aircall’s dashboard analytics to evaluate metrics and KPIs, set goals, gain insights, and spot trends. Email platforms.

SaaS 62

SaaS Sales Coaching APIs 62

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. How do I eliminate the need of installing a big framework like TensorFlow or PyTorch on my restricted device? Edge computing.

Transportation 81

Transportation APIs Big data Wireless 81

AWS Machine Learning

JULY 21, 2022

Compare and evaluate experiments – The integration of Experiments with Amazon SageMaker Studio makes it easy to produce data visualizations and compare different trials. You can also access the trial data via the Python SDK to generate your own visualization using your preferred plotting libraries. Analytics with SageMaker Experiments.

Metrics 83

Metrics Scripts Enterprise Telecommunications 83

AWS Machine Learning

JULY 29, 2022

The solution also uses SAML attribute mapping to populate the SAML assertion with specific access-relevant data, such as user ID and user team. Because the solution creates a SAML API, you can use any IdP supporting SAML assertions to create this architecture. The API Gateway calls an SAML backend API. Custom SAML 2.0

Management 78

Management APIs Accountability Construction 78

Natalie Petouhof

MAY 25, 2016

Tweet Having lived in Louisville, Kentucky I have experience my share of tornados. So just have a better warning signal for that in itself would have been wonderful.

Customer centricity 45

Customer centricity Technology Customer Experience Big data 45