AWS Machine Learning

JANUARY 13, 2023

Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at any single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository.

Analytics 102

Analytics Healthcare Engineering Government 102

AWS Machine Learning

JUNE 26, 2024

Financial analysts and research analysts in capital markets distill business insights from financial and non-financial data, such as public filings, earnings call recordings, market research publications, and economic reports, using a variety of tools for data mining.

APIs 134

APIs Engineering Marketing Enterprise 134

AWS Machine Learning

NOVEMBER 15, 2024

At GoDaddy, we take pride in being a data-driven company. Our relentless pursuit of valuable insights from data fuels our business decisions and works to achieve customer satisfaction. GoDaddy’s business challenge Data has always been a competitive advantage for GoDaddy, as has the Care & Services team.

Analytics 112

Analytics Engineering APIs Customer Care 112

AWS Machine Learning

NOVEMBER 3, 2022

We also look into how to further use the extracted structured information from claims data to get insights using AWS Analytics and visualization services. We highlight on how extracted structured data from IDP can help against fraudulent claims using AWS Analytics services. Part 2: Data enrichment and insights.

Analytics 98

Analytics APIs Healthcare Big data 98

AWS Machine Learning

JUNE 13, 2023

Implementing a modern data architecture provides a scalable method to integrate data from disparate sources. By organizing data by business domains instead of infrastructure, each domain can choose tools that suit their needs. However, realizing the full benefits requires overcoming some challenges.

APIs 100

APIs Finance Engineering Analytics 100

AWS Machine Learning

JANUARY 4, 2024

One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through intuitive SQL queries. Instead of dealing with complex technical code, business users and data analysts can ask questions related to data and insights in plain language.

Best practices 138

Best practices Enterprise Engineering APIs 138

AWS Machine Learning

APRIL 17, 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, 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.

APIs 132

APIs Construction Management Analytics 132

AWS Machine Learning

JUNE 21, 2023

The Live Call Analytics with Agent Assist (LCA) open-source solution addresses these challenges by providing features such as AI-powered agent assistance, call transcription, call summarization, and much more. Under Available OAuth Scopes , choose Manage user data via APIs (api). We’ve all been there. Choose Save.

Analytics 102

Analytics APIs CRM Contact Center 102

AWS Machine Learning

JULY 18, 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.

APIs 128

APIs Technology Analytics Benchmark 128

AWS Machine Learning

NOVEMBER 27, 2023

However, these models require massive amounts of clean, structured training data to reach their full potential. Most real-world data exists in unstructured formats like PDFs, which requires preprocessing before it can be used effectively. According to IDC , unstructured data accounts for over 80% of all business data today.

Engineering 107

Engineering APIs Big data Accountability 107

AWS Machine Learning

DECEMBER 1, 2022

Data-driven decisions fueled by near-real-time insights can enable farmers to close the gap on increased food demand. However, scouting each field on a frequent basis for large fields and farms is not feasible, and successful risk mitigation requires an integrated agronomic data platform that can bring insights at scale.

APIs 98

APIs Analytics Engineering Technology 98

NobelBiz

MAY 25, 2023

Are you looking to optimize your call center’s efficiency and streamline your business’s data management process? If so, it’s crucial to find the right call center software vendor that integrates with a customer data platform (CDP). Managing customer data is nothing new.

call center software 98

call center software Call Center APIs Contact Center 98

ShepHyken

MAY 5, 2017

In case you think the horror is confined to voice interactions, don’t forget the sense of dread you feel when clicking through 13 webpages on your smartphone while your data charges rack up just to reach the appropriate contact button. Insight technologies that deliver personalization and predictive analytics. Three-quarters of U.S.

Self service 203

Self service APIs Surveys Analytics 203

AWS Machine Learning

AUGUST 13, 2024

Generative artificial intelligence (AI) provides an opportunity for improvements in healthcare by combining and analyzing structured and unstructured data across previously disconnected silos. Figure 1: Architecture – Standard Form – Data Extraction & Storage.

Healthcare 129

Healthcare APIs Consulting Consulting 129

CCNG

MAY 30, 2024

Forecasting Core Features The Ability to Consume Historical Data Whether it’s from a copy/paste of a spreadsheet or an API connection, your WFM platform must have the ability to consume historical data. However, it’s helpful to capture those events and store them for future use.

Abandon rate 195

Abandon rate CCNG Average Handle Time Contact Center 195

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 121

Metrics Analytics APIs Big data 121

AWS Machine Learning

DECEMBER 23, 2022

As organizations incorporate machine learning (ML) and analytics into their applications, using this data can provide insights on how to create more seamless customer experiences. However, the presence of PII information often restricts the use of this data. Let’s review how we can redact this PII data in the transcript.

APIs 114

APIs Engineering Analytics Call Center 114

AWS Machine Learning

AUGUST 17, 2023

Amazon Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. It provides a single web-based visual interface where you can perform all ML development steps, including preparing data and building, training, and deploying models.

APIs 98

APIs Engineering Scripts Analytics 98

AWS Machine Learning

MARCH 10, 2023

We show how you can apply this approach to various data streaming and event-driven architectures, depending on the desired outcome and actions to take to prevent fraud (such as alert the user about the fraud or flag the transaction for additional review). Call the Amazon Fraud Detector API using the GetEventPrediction action.

APIs 143

APIs Banking Accountability Analytics 143

AWS Machine Learning

AUGUST 8, 2024

Twilio enables companies to use communications and data to add intelligence and security to every step of the customer journey, from sales and marketing to growth, customer service, and many more engagement use cases in a flexible, programmatic way. Data is the foundational layer for all generative AI and ML applications.

Engineering 126

Engineering Accountability Feedback Construction 126

AWS Machine Learning

MARCH 15, 2024

This is a guest blog post written by Nitin Kumar, a Lead Data Scientist at T and T Consulting Services, Inc. Medical data restrictions You can use machine learning (ML) to assist doctors and researchers in diagnosis tasks, thereby speeding up the process. This isolated legacy data has the potential for massive impact if cumulated.

Healthcare 127

Healthcare Government Best practices Engineering 127

AWS Machine Learning

NOVEMBER 15, 2022

From developing public health analytics hubs, to improving health equity and patient outcomes, to developing a COVID-19 vaccine in just 65 days, our customers are utilizing machine learning (ML) and the cloud to address some of healthcare’s biggest challenges and drive change toward more predictive and personalized care.

Analytics 98

Analytics Healthcare Engineering Enterprise 98

AWS Machine Learning

NOVEMBER 7, 2024

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. API Gateway is serverless and hence automatically scales with traffic. API Gateway also provides a WebSocket API. At this point, you need to consider the use case and data isolation requirements.

Enterprise 112

Enterprise APIs Government Accountability 112

AWS Machine Learning

JANUARY 10, 2024

Specialist Data Engineering at Merck, and Prabakaran Mathaiyan, Sr. ML Engineer at Tiger Analytics. An ML model registered by a data scientist needs an approver to review and approve before it is used for an inference pipeline and in the next environment level (test, UAT, or production).

APIs 127

APIs Construction Engineering Analytics 127

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. To use this dataset in your Data Cloud, refer to Create Amazon S3 Data Stream in Data Cloud.

APIs 98

APIs Scripts Management Accountability 98

AWS Machine Learning

MAY 30, 2024

The frontend UI interacts with the extract microservice through a RESTful interface provided by Amazon API Gateway. It offers details of the extracted video information and includes a lightweight analytics UI for dynamic LLM analysis. Detect generic objects and labels using the Amazon Rekognition label detection API.

Advertising 127

Advertising APIs Education Analytics 127

AWS Machine Learning

OCTOBER 29, 2024

All of this data is centralized and can be used to improve metrics in scenarios such as sales or call centers. These insights are stored in a central repository, unlocking the ability for analytics teams to have a single view of interactions and use the data to formulate better sales and support strategies.

Engineering 110

Engineering APIs Sales Enterprise 110

AWS Machine Learning

MARCH 8, 2023

Manager Data Science at Marubeni Power International. This solution helps market analysts design and perform data-driven bidding strategies optimized for power asset profitability. Data collection and ingestion The data collection and ingestion layer connects to all upstream data sources and loads the data into the data lake.

Marketing 100

Marketing Analytics APIs Engineering 100

AWS Machine Learning

MARCH 26, 2024

On a high level, the accounts payable process includes receiving and scanning invoices, extraction of the relevant data from scanned invoices, validation, approval, and archival. The traditional approach of using human reviewers to extract the data is time-consuming, error-prone, and not scalable.

APIs 121

APIs Construction Analytics Enterprise 121

AWS Machine Learning

JULY 29, 2022

Large enterprises sometimes set up a center of excellence (CoE) to tackle the needs of different lines of business (LoBs) with innovative analytics and ML projects. To generate high-quality and performant ML models at scale, they need to do the following: Provide an easy way to access relevant data to their analytics and ML CoE.

Government 100

Government Banking Analytics Accountability 100

AWS Machine Learning

MARCH 1, 2024

With a knowledge base, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for fully managed Retrieval Augmented Generation (RAG). Based on your data, it can be challenging to improve the accuracy of your application only using semantic search.

APIs 137

APIs Finance Chatbots Enterprise 137

AWS Machine Learning

SEPTEMBER 12, 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, Stability AI, and Amazon through a unified API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Healthcare 126

Healthcare APIs Accountability Enterprise 126

AWS Machine Learning

OCTOBER 19, 2022

R is a popular analytic programming language used by data scientists and analysts to perform data processing, conduct statistical analyses, create data visualizations, and build machine learning (ML) models. The following screenshot shows an example of the data: Fig4: COVID-19 Public dataset.

Analytics 98

Analytics APIs Scripts Government 98

AWS Machine Learning

JULY 29, 2022

This is the second part of a series that showcases the machine learning (ML) lifecycle with a data mesh design pattern for a large enterprise with multiple lines of business (LOBs) and a Center of Excellence (CoE) for analytics and ML. In this post, we address the analytics and ML platform team as a consumer in the data mesh.

Scripts 99

Scripts Analytics Accountability Engineering 99

AWS Machine Learning

DECEMBER 13, 2024

This post was written with Darrel Cherry, Dan Siddall, and Rany ElHousieny of Clearwater Analytics. The explosion of data creation and utilization, paired with the increasing need for rapid decision-making, has intensified competition and unlocked opportunities within the industry.

Analytics 93

Analytics Management Accountability Engineering 93

AWS Machine Learning

OCTOBER 2, 2024

However, scaling up generative AI and making adoption easier for different lines of businesses (LOBs) comes with challenges around making sure data privacy and security, legal, compliance, and operational complexities are governed on an organizational level. In this post, we discuss how to address these challenges holistically.

Government 127

Government APIs Enterprise Best practices 127

AWS Machine Learning

DECEMBER 16, 2022

Developing and training successful machine learning (ML) fraud models requires access to large amounts of high-quality data. Sourcing this data is challenging because available datasets are sometimes not large enough or sufficiently unbiased to usefully train the ML model and may require significant cost and time.

Enterprise 98

Enterprise APIs Analytics Accountability 98