AWS Machine Learning

JULY 24, 2023

as_trt_engine(output_fpath=trt_path, profiles=profiles) gpt2_trt = GPT2TRTDecoder(gpt2_engine, metadata, config, max_sequence_length=42, batch_size=10) Latency comparison: PyTorch vs. TensorRT JMeter is used for performance benchmarking in this project. implement the model and the inference API. model_fp16.onnx gpt2 and predictor.py

APIs 66

APIs Engineering Construction Benchmark 66

JustCall

MARCH 9, 2023

Best Practices for Improving Conversation Intelligence From designing corporate-wide objectives to making and monitoring significant improvements, conversation intelligence can greatly impact your business operations. Conversational AI enables the system to perform end-to-end actions through Application Programming Interfaces (API).

Coaching 52

Coaching Sales Chatbots Analytics 52

aircall

FEBRUARY 8, 2021

To assist your efforts with your company’s sales planning process, we’ve put together some guidelines and best practices for effective sales planning. Set realistic goals as a benchmark for forecasting reasonable goals in the future. Sales Planning Best Practices. Where do best practices come from?

Sales 62

Sales call center software Best practices Call Center 62

NICE inContact

MARCH 27, 2018

As revealed by the CX Transformation Benchmark Study : Over two-thirds of all customer service interactions, or total volume, are with live customer service agents (e.g., Here are two reasons why AI will support, not replace, agents and one reason why AI has the potential to possibly replace the contact center agent role. voice or chat).

Contact Center 54

Contact Center Benchmark Self service APIs 54

AWS Machine Learning

NOVEMBER 16, 2023

Enable a data science team to manage a family of classic ML models for benchmarking statistics across multiple medical units. She is driving strategic activities focused on the tools, platforms, and best practices that speed up and scale the development and productization of (Generative) AI-enabled solutions at Philips.

Healthcare 91

Healthcare Government Engineering APIs 91

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

AWS Machine Learning

SEPTEMBER 1, 2023

These teams are as follows: Advanced analytics team (data lake and data mesh) – Data engineers are responsible for preparing and ingesting data from multiple sources, building ETL (extract, transform, and load) pipelines to curate and catalog the data, and prepare the necessary historical data for the ML use cases.

Engineering 106

Engineering Accountability Construction APIs 106

SmartKarrot

JANUARY 6, 2022

The salient features of CallHippo Coach that make it one of the best choices includes –. In-depth analytics – for giving an in-depth understanding of KPIs ( Key Performance Indicators ) and the representatives’ performance. In-depth Analytics – analyses agents’ performance and finds ways to improve them. Salient features.

Coaching 10

Coaching SaaS Benchmark Feedback 10

AWS Machine Learning

MARCH 15, 2024

Furthermore, model hosting on Amazon SageMaker JumpStart can help by exposing the endpoint API without sharing model weights. Conclusion Federated learning holds great promise for legacy healthcare data analytics and intelligence.

Healthcare 101

Healthcare Government Best practices Engineering 101

Cincom

MAY 3, 2024

Our Eloquence software enables easy connectivity through pre-built integrations and customizable APIs to link templates to any enterprise data source. Seek tools with APIs and connectors that simplify linking templates to data sources like CRM, ERP, and e-commerce platforms underpinning your business.

Enterprise 40

Enterprise CRM APIs Customer retention 40

AWS Machine Learning

APRIL 12, 2023

For a single model registration we can use the ModelStep API to create a SageMaker model in registry. The SageMaker Python APIs also allowed us to send custom metadata that we wanted to pass to select the best models. This allows us to compare training metrics like accuracy and precision across multiple runs as shown below.

Scripts 81

Scripts APIs Metrics Best practices 81

Comm100

MAY 13, 2019

According to our 2019 Benchmark Report , interactions that include co-browsing – which allows the agent (with permission) to view and interact with a customer’s web browser in real-time – show customer satisfaction rates that are more than six points higher than the average, at 89.3%. Download Now.

CRM 51

CRM Finance APIs Benchmark 51

AWS Machine Learning

MARCH 19, 2024

Generative language models have proven remarkably skillful at solving logical and analytical natural language processing (NLP) tasks. With the batch inference API, you can use Amazon Bedrock to run inference with foundation models in batches and get responses more efficiently. The GSM8K train set comprises 7,473 records.

APIs 106

APIs Benchmark SaaS Engineering 106