AWS Machine Learning

FEBRUARY 8, 2023

Although you can integrate the model directly into an application, the approach that works well for production-grade applications is to deploy the model behind an endpoint and then invoke the endpoint via a RESTful API call to obtain the inference. However, you can use any other benchmarking tool. large two-core machine.

Benchmark 79

Benchmark Metrics APIs Engineering 79

AWS Machine Learning

FEBRUARY 24, 2023

Two key distinctions are the low altitude, oblique perspective of the imagery and disaster-related features, which are rarely featured in computer vision benchmarks and datasets. These LADI datasets focus on the Atlantic hurricane seasons and coastal states along the Atlantic Ocean and Gulf of Mexico.

APIs 87

APIs Benchmark Government Analytics 87

AWS Machine Learning

NOVEMBER 22, 2023

Serverless architectures – IDP is often an event-driven solution, initiated by user uploads or scheduled jobs. You can save time, money, and labor by implementing classifications in your workflow, and documents go to downstream applications and APIs based on document type.

APIs 101

APIs Metrics Benchmark Enterprise 101

AWS Machine Learning

SEPTEMBER 11, 2024

In terms of resulting speedups, the approximate order is programming hardware, then programming against PBA APIs, then programming in an unmanaged language such as C++, then a managed language such as Python. The CUDA API and SDK were first released by NVIDIA in 2007. GPU PBAs, 4% other PBAs, 4% FPGA, and 0.5%

Benchmark 85

Benchmark Banking Analytics Big data 85

AWS Machine Learning

OCTOBER 5, 2022

Predicting face-off probability in real-time broadcasts can be broken down into two specific sub-problems: Modeling the face-off event as an ML problem, understanding the requirements and limitations, preparing the data, engineering the data signals, exploring algorithms, and ensuring reliability of results.

Calibration 94

Calibration Engineering Automotive Analytics 94

AWS Machine Learning

OCTOBER 2, 2024

In addition, they use the developer-provided instruction to create an orchestration plan and then carry out the plan by invoking company APIs and accessing knowledge bases using Retrieval Augmented Generation (RAG) to provide an answer to the user’s request. In Part 1, we focus on creating accurate and reliable agents.

Best practices 86

Best practices APIs Metrics Accountability 86

AWS Machine Learning

OCTOBER 21, 2024

In this blog post, we will introduce how to use an Amazon EC2 Inf2 instance to cost-effectively deploy multiple industry-leading LLMs on AWS Inferentia2 , a purpose-built AWS AI chip, helping customers to quickly test and open up an API interface to facilitate performance benchmarking and downstream application calls at the same time.

APIs 72

APIs Benchmark Education Marketing 72

AWS Machine Learning

JANUARY 10, 2023

We first benchmark the performance of our model on a single instance to identify the TPS it can handle per our acceptable latency requirements. For example, if you client is making the InvokeEndpoint API call over the internet, from the client’s perspective, the end-to-end latency would be internet + ModelLatency + OverheadLatency.

Best practices 73

Best practices Scripts APIs Metrics 73

AWS Machine Learning

NOVEMBER 15, 2024

Analyst Notes Database Knowledge base containing reports from Analysts on their interpretation and analyis of economic events. Analyst Notes Database This is asking for interpretation of an event, I will look in Analyst Notes. Refer to this documentation for a detailed example of tool use with the Bedrock Converse API.

APIs 104

APIs Engineering Chatbots Construction 104

AWS Machine Learning

JUNE 24, 2022

The generated models are stored and benchmarked in the Amazon SageMaker model registry. This might be a triggering mechanism via Amazon EventBridge , Amazon API Gateway , AWS Lambda functions, or SageMaker Pipelines. Application infrastructure – Hosts the source code of the infrastructure necessary to run the inference, if necessary.

Enterprise 99

Enterprise Engineering Accountability APIs 99

AWS Machine Learning

SEPTEMBER 13, 2022

This architecture also required configuring Amazon CloudWatch event rules to track the progress of the batch predictions job together with employing a database of choice to track the states and metadata of the fired job. This event in turn triggers an AWS Lambda Submit function. The MVP architecture is shown in the following diagram.

Engineering 72

Engineering APIs Benchmark Management 72

CallSource Insights

OCTOBER 3, 2018

Sessions are just grouped events by time and by interaction type whenever the cookie ID loads on site load. Site load can vary from pages loading, resources downloading, videos buffering, API calls or requests being made, etc. Audience > Benchmarking > Devices. Audience > Benchmarking > Channels.

Analytics 70

Analytics Benchmark APIs Metrics 70

AWS Machine Learning

JANUARY 7, 2025

These managed agents play conductor, orchestrating interactions between FMs, API integrations, user conversations, and knowledge bases loaded with your data. If the user request invokes an action, action groups configured for the agent will invoke different API calls, which produce results that are summarized as the response to the user.

Chatbots 92

Chatbots Management APIs Best practices 92

AWS Machine Learning

MARCH 14, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon via a single API. Kojima et al. 2022) introduced an idea of zero-shot CoT by using FMs’ untapped zero-shot capabilities.

Best practices 114

Best practices Engineering Chatbots Enterprise 114

CSM Magazine

APRIL 29, 2024

Real-time Monitoring and Alerts BI tools provide real-time monitoring of social media conversations, ensuring businesses can stay updated on relevant discussions, trends, and events as they happen. Real-time monitoring allows businesses to promptly respond to customer inquiries, address complaints, and capitalize on emerging opportunities.

Analytics 52

Analytics Metrics CRM APIs 52

RichCall

SEPTEMBER 13, 2017

Check out what recent reports and experts suggest, and take part in a contact center benchmarking survey to get more accurate data on the current contact center trends. Global Contact Centre Benchmarking Report, Dimension Data 2017. Dimension Data’s 2016 Global Contact Centre Benchmarking Report, © Dimension Data 2013-2016.

Contact Center 64

Contact Center Technology Benchmark Chatbots 64

AWS Machine Learning

JANUARY 20, 2023

After cycles of research and initial benchmarking efforts, CCC determined SageMaker was a perfect fit to meet a majority of their production requirements, especially the guaranteed uptime SageMaker provides for most of its inference components. The figure below illustrates a high-level overview of our asynchronous event-driven architecture.

APIs 64

APIs Engineering Telecommunications Construction 64

AWS Machine Learning

NOVEMBER 19, 2024

The excitement is building for the fourteenth edition of AWS re:Invent, and as always, Las Vegas is set to host this spectacular event. Explore examples to estimate the severity and likelihood of potential events that could be harmful.

APIs 79

APIs Enterprise Best practices Government 79

AWS Machine Learning

JUNE 20, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Metrics 117

Metrics Engineering Accountability Benchmark 117

CSM Magazine

MAY 14, 2024

By offering flexible integration options and enabling customers to leverage third-party solutions through APIs and SDKs, Avaya delivers superior outcomes while providing customers the freedom to innovate and customise their experience, building on top of what already works for them.

Healthcare 52

Healthcare Enterprise Analytics APIs 52

AWS Machine Learning

AUGUST 26, 2024

At events, our teams now approach customer interactions armed with comprehensive, up-to-date information on demand. This involves benchmarking new models against our current selections across various metrics, running A/B tests, and gradually incorporating high-performing models into our production pipeline.

Sales 109

Sales Accountability Feedback Metrics 109

ChurnZero

NOVEMBER 20, 2020

If we’re looking to roll out to an entire team, then we look to more of those API pushes and how we connect one tool to another. . These things are triggered automatically based on certain events happening or not happening. The easiest and fastest way is just an email alert. And it really depends on your product.

Finance 98

Finance Feedback Sales Accountability 98

AWS Machine Learning

MAY 17, 2024

What is Mixtral 8x22B Mixtral 8x22B is Mistral AI’s latest open-weights model and sets a new standard for performance and efficiency of available foundation models , as measured by Mistral AI across standard industry benchmarks. making the model available for exploring, testing, and deploying.

APIs 111

APIs Benchmark Personalization Enterprise 111

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. Key AI/ML use cases and platform requirements AI/ML-enabled propositions can transform healthcare by automating administrative tasks done by clinicians.

Healthcare 98

Healthcare Government Engineering APIs 98

Pointillist

JULY 25, 2018

Thinking in Events The fundamental data type for customer journey analytics is the event. Regardless of how you might think of data today, in customer journey analytics everything is an event. Treating every change to customer data as an event saves work for data engineers, as no transformation is required.

Analytics 43

Analytics Metrics Government Journey mapping 43

ChurnZero

NOVEMBER 5, 2021

After you assess the quality of your data, identify any new datapoints, events, or integrations that have been deployed since your initial Customer Success software implementation or last audit. For updates to your product, features, and customer journey, you may need to send additional Events to your Customer Success software.

Accountability 52

Accountability CRM APIs Benchmark 52

ChurnZero

NOVEMBER 5, 2021

After you assess the quality of your data, identify any new datapoints, events, or integrations that have been deployed since your initial Customer Success software implementation or last audit. For updates to your product, features, and customer journey, you may need to send additional Events to your Customer Success software.

Accountability 52

Accountability CRM APIs Benchmark 52

Balto

JANUARY 14, 2025

Predictive Analytics: Uses historical data to forecast future events like call volumes or customer churn. Employee Engagement Analytics isnt just for customers; it benefits employee satisfaction too: Clear Feedback Loops : Metrics like average handle time (AHT) provide agents with clear performance benchmarks.

Call Center 52

Call Center Analytics Average Handle Time Big data 52

Whitepages Pro

JANUARY 25, 2016

It’s important to understand the vendor’s measurement process in the event that it differs from yours. From there, you’ll know how to benchmark the data sources you’re reviewing. I would next ask your potential vendors how accurate their data is and how they measure it. If it does, there will likely be different results. While the U.S.

APIs 40

APIs Marketing Benchmark Engineering 40

NobelBiz

FEBRUARY 15, 2023

Integration with your current software (CRM, API etc.) Each communication channel has its own unique sequence of events, including receipt, discovery/questioning, answer generation, objection handling, synthesis, and conclusion. As a result, your agents may handle inquiries in an individualized and timely fashion across all channels.

Call Center 52

Call Center Scripts Average Handle Time Customer effort 52

JustCall

MARCH 9, 2023

Conversational AI enables the system to perform end-to-end actions through Application Programming Interfaces (API). You can compare your reps’ performance with industry benchmarks across industries and roles. Your teams can then review the reports generated, analyze flagged events/conversations, and address any concerns.

Coaching 52

Coaching Sales Chatbots Analytics 52

JustCall

APRIL 5, 2023

8×8 provides solutions for VoIP calls, video conferencing, APIs for SMS and chat, and so on, and also integrates with third-party solutions like Microsoft Teams, Salesforce, Google Workspace, and Freshdesk. It is designed to offer easy business communications within the Google Workspace ecosystem.

voip 52

voip Enterprise Interactive Voice Response CRM 52

AWS Machine Learning

JULY 9, 2024

Sonnet currently ranks at the top of S&P AI Benchmarks by Kensho , which assesses large language models (LLMs) for finance and business. For example, there could be leakage of benchmark datasets’ questions and answers into training data. Anthropic Claude 3.5 Kensho is the AI Innovation Hub for S&P Global. Anthropic Claude 3.5

Finance 114

Finance Benchmark industry standards Accountability 114

SmartKarrot

SEPTEMBER 22, 2022

Once you have a benchmark that can be decided according to the industry you are in, measuring your NPS frequently will help you to monitor and track progress to avoid a high churn rate and improve retention. There is zero coding required and you can automate events to deliver surveys according to your business strategy.

Surveys 10

Surveys Feedback Benchmark APIs 10

AWS Machine Learning

OCTOBER 18, 2023

The solution uses the following services: Amazon API Gateway is a fully managed service that makes it easy for developers to publish, maintain, monitor, and secure APIs at any scale. Purina’s solution is deployed as an API Gateway HTTP endpoint, which routes the requests to obtain pet attributes.

APIs 104

APIs Metrics Consulting Consulting 104

AWS Machine Learning

MARCH 19, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies and Amazon via a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. A limitation of the approach is its larger computational cost.

APIs 111

APIs Benchmark SaaS Engineering 111

AWS Machine Learning

DECEMBER 2, 2024

This new feature brings several key benefits for generative AI inference workloads: dramatically faster scaling to handle traffic spikes, improved resource utilization on GPU instances, and potential cost savings through more efficient scaling and reduced idle time during scale-up events.

Engineering 82

Engineering APIs Benchmark Technology 82