Best practices, Big data, Engineering and Feedback

Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

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

Best practices Government Engineering Accountability

Use AWS PrivateLink to set up private access to Amazon Bedrock

AWS Machine Learning

OCTOBER 30, 2023

As a next step, try the solution out in your account and share your feedback. 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. With an M.Sc.

APIs

APIs Big data Accountability Enterprise

The Best Natural Language Processing (NLP) Solutions Providers

CSM Magazine

JULY 29, 2021

It is the main innovation behind the engine that performs functions such as task prediction and dialog control. In this article, we want to show you some of the world’s best NLP solution providers : Addepto. Addepto is one of the top data science and AI consulting companies operating in over 12 countries.

Real estate

Real estate Engineering Consulting Consulting

Webinars

Manual Call Reviews? There's a Better Way!

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Personalize your generative AI applications with Amazon SageMaker Feature Store

AWS Machine Learning

OCTOBER 6, 2023

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. Another essential component is an orchestration tool suitable for prompt engineering and managing different type of subtasks. A feature store maintains user profile data.

Personalization

Personalization Engineering Construction Transportation

How Amp on Amazon used data to increase customer engagement, Part 1: Building a data analytics platform

AWS Machine Learning

SEPTEMBER 9, 2022

Amp wanted a scalable data and analytics platform to enable easy access to data and perform machine leaning (ML) experiments for live audio transcription, content moderation, feature engineering, and a personal show recommendation service, and to inspect or measure business KPIs and metrics. Data Engineer for Amp on Amazon.

Analytics

Analytics Engineering APIs Metrics

Technology Based Solutions to Enhance Customer Retention Strategies

TechSee

APRIL 3, 2018

While people and processes continue to play an essential role in reducing customer churn , the technological advancement associated with AI, Big Data analytics, visualization, voice analytics, and other advanced technologies that improve the customer experience offer a critical boost to the human factor.

Customer retention

Customer retention Technology Analytics Technical Support

Identify objections in customer conversations using Amazon Comprehend to enhance customer experience without ML expertise

AWS Machine Learning

APRIL 24, 2023

In this post, we share how Pro360 utilized Amazon Comprehend to track down consumer objections during discussions and used a human-in-the-loop (HITL) mechanism to incorporate customer feedback into the model’s improvement and accuracy, demonstrating the ease of use and efficiency of Amazon Comprehend.

APIs

APIs Customer Experience Feedback Chatbots

How to Improve Digital Customer Experience in Banking

REVE Chat Blog

FEBRUARY 12, 2020

Survey – Banks can proactively collect customer feedback to identify and understand the gaps between customers and banks. Make use of big data analytics. This includes taking a 360-degree view of your banking customer and leveraging the data available. . Offer live assistance. What obstacles might they face? .

Banking

Banking Customer Experience Chatbots Big data

Build a robust text-to-SQL solution generating complex queries, self-correcting, and querying diverse data sources

AWS Machine Learning

FEBRUARY 28, 2024

Third, despite the larger adoption of centralized analytics solutions like data lakes and warehouses, complexity rises with different table names and other metadata that is required to create the SQL for the desired sources. Athena also allows us to use a multitude of supported endpoints and connectors to cover a large set of data sources.

Engineering

Engineering Best practices Analytics Enterprise

Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker

AWS Machine Learning

OCTOBER 20, 2023

Governing ML lifecycle at scale is a framework to help you build an ML platform with embedded security and governance controls based on industry best practices and enterprise standards. Data scientists create and share new features into the central feature store catalog for reuse.

Government

Government Engineering Accountability Enterprise

MLOps deployment best practices for real-time inference model serving endpoints with Amazon SageMaker

AWS Machine Learning

FEBRUARY 21, 2023

A/B testing is used in scenarios where closed loop feedback can directly tie model outputs to downstream business metrics. This feedback is then used to determine the statistical significance of changing from one model to another, helping you select the best model through live production testing.

Best practices

Best practices Accountability Metrics Engineering

Use Amazon SageMaker Model Card sharing to improve model governance

AWS Machine Learning

AUGUST 31, 2023

In addition to data engineers and data scientists, there have been inclusions of operational processes to automate & streamline the ML lifecycle. We encourage you try out the new model card sharing feature and let us know your feedback. They provide a fact sheet of the model that is important for model governance.

Government

Government Accountability Enterprise Engineering

How Human Resources Can Add Value to Customer Experience Excellence

ClearAction

APRIL 18, 2015

Use group sharing engines to share documents with strategies and knowledge across departments. Create CX playbooks & best practice to guide interactions with customers. Employee engagement is improved when they get regular personalized customer feedback on their ability to satisfy (or otherwise).

Customer Experience

Customer Experience Employee engagement Big data Analytics

Use Amazon SageMaker Model Cards sharing to improve model governance

AWS Machine Learning

AUGUST 31, 2023

In addition to data engineers and data scientists, there have been inclusions of operational processes to automate & streamline the ML lifecycle. We encourage you try out the new model card sharing feature and let us know your feedback. They provide a fact sheet of the model that is important for model governance.

Government

Government Accountability Enterprise Engineering

Call Center Reporting - A New Paradigm

Xaqt

JUNE 22, 2020

Despite significant advancements in big data and open source tools, niche Contact Center Business Intelligence providers are still wed to their own proprietary tools leaving them saddled with technical debt and an inability to innovate from within. By putting it into the public domain, we invite your feedback and contributions.

Call Center

Call Center Contact Center Analytics Engineering

Build repeatable, secure, and extensible end-to-end machine learning workflows using Kubeflow on AWS

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. About the authors.

Engineering

Engineering Healthcare APIs Scripts

Customer Contact Central

Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

Use AWS PrivateLink to set up private access to Amazon Bedrock

Webinars

Trending Sources

The Best Natural Language Processing (NLP) Solutions Providers

Webinars

Personalize your generative AI applications with Amazon SageMaker Feature Store

How Amp on Amazon used data to increase customer engagement, Part 1: Building a data analytics platform

Technology Based Solutions to Enhance Customer Retention Strategies

Identify objections in customer conversations using Amazon Comprehend to enhance customer experience without ML expertise

How to Improve Digital Customer Experience in Banking

Build a robust text-to-SQL solution generating complex queries, self-correcting, and querying diverse data sources

Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker

MLOps deployment best practices for real-time inference model serving endpoints with Amazon SageMaker

Use Amazon SageMaker Model Card sharing to improve model governance

How Human Resources Can Add Value to Customer Experience Excellence

Use Amazon SageMaker Model Cards sharing to improve model governance

Call Center Reporting - A New Paradigm

Build repeatable, secure, and extensible end-to-end machine learning workflows using Kubeflow on AWS

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