AWS Machine Learning

MARCH 22, 2024

Contentful is an intelligent composable content platform that allows the creation and management of content to build digital experiences. Contentful is an intelligent composable content platform that allows the creation and management of content to build digital experiences. Contentful is an AWS customer and partner.

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Ecommerce Guidelines Software Consulting 90

AWS Machine Learning

FEBRUARY 27, 2024

Together with a central data platform team, the data science teams bring innovation and digital transformation through AI and ML solutions to the organization. Our challenge To stay competitive in terms of cloud services and AI/ML, Axfood chose to partner with AWS and has been collaborating with them for many years.

Effort Score 115

Effort Score Training Analytics Retail 115

AWS Machine Learning

NOVEMBER 22, 2023

Amazon Elastic Compute Cloud (Amazon EC2) DL2q instances, powered by Qualcomm AI 100 Standard accelerators, can be used to cost-efficiently deploy deep learning (DL) workloads in the cloud. DL2q instances are the first instances to bring Qualcomm’s artificial intelligent (AI) technology to the cloud. This is a guest post by A.K

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Automotive Technology Training Strategy 104

AWS Machine Learning

SEPTEMBER 20, 2023

As customers accelerate their migrations to the cloud and transform their business, some find themselves in situations where they have to manage IT operations in a multicloud environment. We show how you can build and train an ML model in AWS and deploy the model in another platform.

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AWS Machine Learning

OCTOBER 18, 2023

As the leading pet adoption platform, Petfinder has helped millions of pets find their forever homes. Purina consistently seeks ways to make the Petfinder platform even better for both shelters and rescue groups and pet adopters. AWS CodeBuild is a fully managed continuous integration service in the cloud.

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AWS Machine Learning

JUNE 16, 2023

Since 1998, SambaSafety has been the leading North American provider of cloud–based mobility risk management software for organizations with commercial and non–commercial drivers. They had several skilled engineers and scientists building insightful models that improved the quality of risk analysis on their platform.

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Insurance Training Comparison Innovation 78

AWS Machine Learning

DECEMBER 1, 2022

Although farmers have traditionally collected data manually from their operations by recording equipment and yield data or taking notes of field observations, builders of agronomic data platforms on AWS help farmers work with their trusted agronomic advisors use that data at scale.

Data 75

Data Training Effort Score Analytics 75

AWS Machine Learning

MAY 23, 2023

One of the first steps and notably a great challenge to becoming AI powered is effectively developing ML pipelines that can scale sustainably in the cloud. In this post, we start with an overview of MLOps and its benefits, describe a solution to simplify its implementations, and provide details on the architecture.

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AWS Machine Learning

SEPTEMBER 1, 2023

Our approach applies to both open-source and proprietary models equally. Platform team – Architects are responsible for the overall cloud architecture of the business and how all the different services are connected together. Security SMEs review the architecture based on business security policies and needs.

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Training Effort Score Examples Data 105

AWS Machine Learning

MAY 19, 2023

In this blog post we walk you through the Solution Architecture behind “Describe For Me”, and the design considerations of our solution. In this blog post we walk you through the Solution Architecture behind “Describe For Me”, and the design considerations of our solution. Accessibility has come a long way, but what about images?

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Video Training Conference Technology 90

eGain Blogs

OCTOBER 19, 2021

Each hub is packed with new capabilities, leveraging common services to deliver a modern user experience. Powering the hubs is the eGain Composable Experience Platform , an open, secure, and scalable platform with an expanded set of capability dots (à la Gartner’s Packaged Business Capabilities).

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AWS Machine Learning

NOVEMBER 7, 2023

Today, we are excited to unveil three generative AI demos, licensed under MIT-0 license : Amazon Kendra with foundational LLM – Utilizes the deep search capabilities of Amazon Kendra combined with the expansive knowledge of LLMs. This synergy enables more accurate topic modeling, content recommendation, and semantic search capabilities.

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Data Comparison Guidelines Training 96

Bizagi

MAY 21, 2020

That’s where an Intelligent Process Automation platform is different. You just need the right platform to build on… . Unit ing your IT architecture. A process automation platform can orchestrate your people, applications, devices, information and robots on a global scale. Automating every process with one platform.

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AWS Machine Learning

NOVEMBER 16, 2022

Today, many AWS customers are building enterprise-ready machine learning (ML) platforms on Amazon Elastic Kubernetes Service (Amazon EKS) using Kubeflow on AWS (an AWS-specific distribution of Kubeflow) across many use cases, including computer vision, natural language understanding, speech translation, and financial modeling.

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AWS Machine Learning

MAY 23, 2023

Amazon SageMaker JumpStart provides pre-trained, open-source models for a wide range of problem types to help you get started with ML. Just recently, generative AI applications have captured everyone’s attention and imagination. You can incrementally train and tune these models before deployment.

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Training Resources How To Examples 93

AWS Machine Learning

AUGUST 4, 2023

This is the second post in a series discussing the integration of Salesforce Data Cloud and Amazon SageMaker. The endpoints are then registered to the Salesforce Data Cloud to activate predictions in Salesforce. The endpoints are then registered to the Salesforce Data Cloud to activate predictions in Salesforce.

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AWS Machine Learning

DECEMBER 5, 2023

This post is written in collaboration with Balaji Chandrasekaran, Jennifer Cwagenberg and Andrew Sansom and Eiman Ebrahimi from Protopia AI. New and powerful large language models (LLMs) are changing businesses rapidly, improving efficiency and effectiveness for a variety of enterprise use cases.

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Data Training Financial Examples 99

datastax

FEBRUARY 12, 2019

RDBMSs do indeed store and enforce relationships between data elements, however they are crippled in supporting today’s modern cloud-style applications in several ways. RDBMSs do indeed store and enforce relationships between data elements, however they are crippled in supporting today’s modern cloud-style applications in several ways.

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Fashion Trends Conference Groups 78

AWS Machine Learning

JULY 11, 2023

The SageMaker Python SDK will automatically translate your existing workspace environment and any associated data processing code and datasets into a SageMaker training job that runs on the SageMaker training platform. Solution overview The following architecture diagram shows the solution architecture.

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Uniphore

JANUARY 25, 2022

Video will be Preferred CX Platform. A blog post from Umesh Sachdev, CEO & Co-founder, Uniphore. Ah, 2022, a new year. Not so fast. After nearly two years of uncertainty and a rough start with Omicron in full swing, the collective attitude toward 2022 might best be described as “cautiously optimistic.” And it’s a two-way street.

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AWS Machine Learning

MAY 10, 2023

To run this job repeatedly on a schedule, you had to set up, configure, and oversee cloud infrastructure to automate deployments, resulting in a diversion of valuable time away from core data science development activities.

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Policies Resources Automotive Data 75

AWS Machine Learning

JUNE 8, 2023

LLMs are based on the Transformer architecture , a deep learning neural network introduced in June 2017 that can be trained on a massive corpus of unlabeled text. We have included a sample project to quickly deploy an Amazon Lex bot that consumes a pre-trained open-source LLM. This enables you to begin machine learning (ML) quickly.

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Chatbots Contact Center Training Resources 74

AWS Machine Learning

JULY 19, 2022

Over the last few years, online education platforms have seen an increase in adoption of and an uptick in demand for video-based learnings because it offers an effective medium to engage learners. The following diagram illustrates the solution architecture. Solution overview.

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Video Policies Data Retail 85

NobelBiz

APRIL 19, 2021

Contact centers and cloud computing Before we dive into the elasticity and scalability discussion, we need to take a quick look at what the cloud computing revolution meant for the contact center industry. Before the cloud, call centers would buy physical hardware architectures that needed to be shipped to the locations and installed.

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AWS Machine Learning

MARCH 31, 2023

This post was co-written with Tony Momenpour and Drew Clark from KYTC. Government departments and businesses operate contact centers to connect with their communities, enabling citizens and customers to call to make appointments, request services, and sometimes just ask a question. per contact, while self-service channels cost about $0.10

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AWS Machine Learning

NOVEMBER 17, 2022

To deploy ELC to production plants and scale it to multiple sites across the globe, Yara needed to build an MLOps platform. Yara is the world’s leading crop nutrition company and a provider of environmental and agricultural solutions. Yara is also the world’s largest producer of ammonia, nitrates, and NPK fertilizers. Overview of solution.

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Training Metrics Data Resources 93

AWS Machine Learning

AUGUST 2, 2023

The state-of-the-art models use an encoder-decoder architecture, where the image information is encoded in the intermediate layers of the neural network and decoded into textual descriptions. Amazon Kendra supports a variety of document formats , such as Microsoft Word, PDF, and text from various data sources.

Ecommerce 72

Ecommerce Fashion Healthcare Training 72

NobelBiz

MARCH 5, 2024

This article will be your ultimate guide on call center reporting, where we’ll take you through how Nobelbiz’s cutting-edge capabilities are redefining what it means to excel in customer service. How do you navigate the sea of data to extract actionable insights and make informed decisions that propel your contact center forward?

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Call Center Report Contact Center Net Promoter Score 59

datastax

OCTOBER 30, 2018

We launched our cloud-powered Network Detection and Response (NDR) platform, The ProtectWise Grid TM , in 2015 to shift core network security functionality away from traditional fragmented hardware appliances to a fully on-demand model delivered entirely from the cloud. How it Works. Network data is truly massive.

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Case Study Data Technology Study 56

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. This post is the first in a two-part series.

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AWS Machine Learning

MARCH 20, 2023

Running ML workloads on Amazon SageMaker running Amazon Elastic Compute Cloud (Amazon EC2) C6i instances with Intel’s INT8 inference deployment can help boost the overall performance by up to four times per dollar spent while keeping the loss in inference accuracy less than 1% as compared to FP32 when applied to certain ML workloads.

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AWS Machine Learning

NOVEMBER 9, 2022

It helps data scientists and developers prepare, build, train, and deploy high-quality ML models quickly by bringing together a broad set of capabilities purpose-built for ML. Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows. In some scenarios, users want to deploy multiple models.

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AWS Machine Learning

AUGUST 1, 2023

Amazon SageMaker , a fully managed ML service, provides an ideal platform for hosting and implementing various AI/ML-based summarization models and approaches. This approach requires more in-depth knowledge of AI/ML models and may involve creating a model architecture from scratch or adapting existing models to suit specific needs.

Healthcare 75

Healthcare Training Resources Data 75

CSM Magazine

DECEMBER 13, 2021

VIVID ultimately decided on CM’s Conversational AI Chatbot platform to build an omni-channel chatbot solution, which has been deployed both on its website and VIVID’s Interactive Voice Response (IVR) system. As the first Voicebot customer for CM.com in the UK, VIVID is a true innovator in its sector. VIVID sees things differently.

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Chatbots Omni-Channel Innovation Comparison 52

West Monroe

AUGUST 15, 2022

Middle-market banks have historically employed a fragmented digital strategy to improve back-office efficiency, focusing on sales enablement and client servicing. This was coupled with a variety of offerings that still relied on in-person interaction to achieve optimal experiences for customers.

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AWS Machine Learning

SEPTEMBER 22, 2023

The following diagram illustrates this architecture. In this blog post, we illustrate how RLHF can be performed on Amazon SageMaker by conducting an experiment with the popular, open-sourced RLHF repo Trlx. Gone are the days when you need unnatural prompt engineering to get base models, such as GPT-3, to solve your tasks.

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AWS Machine Learning

JULY 24, 2023

Recently, the AWS Generative AI Innovation Center collaborated with Patsnap to implement a feature to automatically suggest search keywords as an innovation exploration to improve user experiences on their platform. Patsnap provides a global one-stop platform for patent search, analysis, and management.

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