AWS Machine Learning

OCTOBER 4, 2022

Near-real-time delivery of data and insights enable businesses to rapidly respond to their customers’ needs. Real-time data can come from a variety of sources, including social media, IoT devices, infrastructure monitoring, call center monitoring, and more. After that, documents are free of PII entities and users can consume the data.

APIs 95

APIs Banking Analytics Accountability 95

AWS Machine Learning

JANUARY 5, 2024

Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models. Data science and DevOps teams may face challenges managing these isolated tool stacks and systems.

Management 128

Management APIs Engineering Government 128

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

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 81

APIs Finance Engineering Analytics 81

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 84

Analytics Healthcare Engineering Government 84

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 106

Enterprise APIs Government Accountability 106

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 118

APIs Engineering Marketing Enterprise 118

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 105

Engineering APIs Sales Enterprise 105

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 83

Analytics APIs Healthcare Big data 83

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 89

Engineering APIs Big data Accountability 89

OrecX

JANUARY 5, 2021

This is the only way to ensure your speech analytics solution is adequately interpreting and transcribing both your agents and your customers. REAL TIME - Does your recording solution capture call audio in a real-time streaming manner so your transcription and analytics engine can process the call as it happens, or post-call?

Analytics 127

Analytics APIs CRM Engineering 127

OrecX

APRIL 22, 2021

According to techtarget.com, “Data gravity is the ability of a body of data to attract applications, services and other data.”. Monitor, Manage & Control. Mobile recording (VoIP softphone technology, conferencing the recording system as a PSTN number, and mobile-ready infrastructure).

voip 79

voip APIs Upselling CRM 79

OrecX

MARCH 23, 2023

Conversational analytics is the name of the game today in the call recording world. According to leading conversational analytics provider, CallMiner, " Conversational analytics delivers clear insight into the mindset of the customer by monitoring and analyzing their behavior and emotion during every interaction.

Analytics 71

Analytics voip APIs Engineering 71

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 83

Analytics APIs CRM Contact Center 83

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 111

APIs Technology Analytics Benchmark 111

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 134

Best practices Enterprise Engineering APIs 134

AWS Machine Learning

NOVEMBER 18, 2024

Amazon Bedrock is a fully managed service that provides a single API to access and use various high-performing foundation models (FMs) from leading AI companies. Using Amazon Bedrock Knowledge Bases, FMs and agents can retrieve contextual information from your company’s private data sources for RAG.

Benchmark 94

Benchmark APIs Engineering Analytics 94

AWS Machine Learning

NOVEMBER 12, 2024

Agmatix is an Agtech company pioneering data-driven solutions for the agriculture industry that harnesses advanced AI technologies, including generative AI, to expedite R&D processes, enhance crop yields, and advance sustainable agriculture. This post is co-written with Etzik Bega from Agmatix.

Analytics 103

Analytics APIs Engineering Technology 103

AWS Machine Learning

NOVEMBER 19, 2024

Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon Web Services available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case.

APIs 86

APIs Management Engineering Enterprise 86

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 121

Healthcare APIs Consulting Consulting 121

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 126

APIs Construction Management Analytics 126

CSM Magazine

APRIL 29, 2024

With the vast amount of data generated on social media platforms every second, harnessing this information effectively can be challenging. Through the use of advanced data collection techniques and APIs, BI platforms continuously gather data from various social media channels such as Twitter, Facebook, Instagram, LinkedIn, and more.

Analytics 52

Analytics Metrics CRM Benchmark 52

Infinity

MARCH 3, 2022

The greater the visibility you have of the data needed to track conversion events, optimise ads and re-target users, the stronger the position you are in as a marketer. After all, for marketers, gathering as much data as possible from as many touchpoints as possible is the name of the game. Getting data on the customer journey.

APIs 52

APIs Marketing Advertising Government 52

JivoChat

JANUARY 31, 2023

Data-driven decisions are essential in businesses to diminish the chances of errors, and online data analyst courses will teach you how to interpret data precisely. There is where data analysis comes in, you can use the data your company has, and key performance indicators (KPIs) to indicate what path you should follow.

Analytics 75

Analytics APIs Big data Scripts 75

JustCall

JANUARY 5, 2023

Speech analytics software analyses live or recorded calls and interpret emotional indicators. Speech analytics software uses artificial intelligence to analyze spoken language similar to voice recognition software. What is Speech analytics? Significance of Speech Analytics. Some Best Speech Analytics Software.

Analytics 52

Analytics Coaching Call Center APIs 52

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 110

Metrics Analytics APIs Big data 110

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 81

APIs Engineering Scripts Analytics 81

OrecX

OCTOBER 22, 2018

According to leading independent research organizations, AI-fueled speech analytics has become a mission-critical application for contact centers intent on improving the customer experience and unlocking a treasure trove of hidden value. With these approach restrictions, analytics accuracy hovers around just 70%.

Analytics 54

Analytics APIs Engineering Contact Center 54

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 81

APIs Analytics Engineering Technology 81

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 113

Engineering Accountability Feedback Construction 113

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 85

APIs Scripts Management Accountability 85

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 123

Healthcare APIs Accountability Enterprise 123

AWS Machine Learning

OCTOBER 14, 2024

Amazon OpenSearch Service is a powerful, highly flexible search engine that allows users to retrieve data based on a variety of lexical and semantic retrieval approaches. This may be useful for later chat assistant analytics. Step 3 – The Lambda function stores the query image in Amazon S3 with a specified ID.

Chatbots 119

Chatbots APIs Engineering Healthcare 119

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 131

Advertising APIs Education Analytics 131

AWS Machine Learning

FEBRUARY 29, 2024

Amazon SageMaker Studio offers a comprehensive set of capabilities for machine learning (ML) practitioners and data scientists. The AI platform team’s key objective is to ensure seamless access to Workbench services and SageMaker Studio for all Deutsche Bahn teams and projects, with a primary focus on data scientists and ML engineers.

APIs 117

APIs Construction Transportation Analytics 117

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 114

Government APIs Enterprise Best practices 114

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 118

APIs Construction Engineering Analytics 118