Statistics at the Command Line for Beginner Data ScientistsKDnuggets You don’t need Python or R to start working with data. This guide walks you through using built-in Unix utilities for real statistical analysis.
You don’t need Python or R to start working with data. This guide walks you through using built-in Unix utilities for real statistical analysis. Read More
S&P Global Data integration expands Amazon Quick Research capabilitiesArtificial Intelligence Today, we are pleased to announce a new integration between Amazon Quick Research and S&P Global. This integration brings both S&P Global Energy news, research, and insights and S&P Global Market Intelligence data to Quick Research customers in one deep research agent. In this post, we explore S&P Global’s data sets and the solution architecture of the integration with Quick Research.
Today, we are pleased to announce a new integration between Amazon Quick Research and S&P Global. This integration brings both S&P Global Energy news, research, and insights and S&P Global Market Intelligence data to Quick Research customers in one deep research agent. In this post, we explore S&P Global’s data sets and the solution architecture of the integration with Quick Research. Read More
Streamline AI agent tool interactions: Connect API Gateway to AgentCore Gateway with MCPArtificial Intelligence AgentCore Gateway now supports API GatewayAs organizations explore the possibilities of agentic applications, they continue to navigate challenges of using enterprise data as context in invocation requests to large language models (LLMs) in a manner that is secure and aligned with enterprise policies. This post covers these new capabilities and shows how to implement them.
AgentCore Gateway now supports API GatewayAs organizations explore the possibilities of agentic applications, they continue to navigate challenges of using enterprise data as context in invocation requests to large language models (LLMs) in a manner that is secure and aligned with enterprise policies. This post covers these new capabilities and shows how to implement them. Read More
Create an intelligent insurance underwriter agent powered by Amazon Nova 2 Lite and Amazon Quick SuiteArtificial Intelligence In this post, we demonstrate how to build an intelligent insurance underwriting agent that addresses three critical challenges: unifying siloed data across CRM systems and databases, providing explainable and auditable AI decisions for regulatory compliance, and enabling automated fraud detection with consistent underwriting rules. The solution combines Amazon Nova 2 Lite for transparent risk assessment, Amazon Bedrock AgentCore for managed MCP server infrastructure, and Amazon Quick Suite for natural language interactions—delivering a production-ready system that underwriters can deploy in under 30 minutes .
In this post, we demonstrate how to build an intelligent insurance underwriting agent that addresses three critical challenges: unifying siloed data across CRM systems and databases, providing explainable and auditable AI decisions for regulatory compliance, and enabling automated fraud detection with consistent underwriting rules. The solution combines Amazon Nova 2 Lite for transparent risk assessment, Amazon Bedrock AgentCore for managed MCP server infrastructure, and Amazon Quick Suite for natural language interactions—delivering a production-ready system that underwriters can deploy in under 30 minutes . Read More
Instacart pilots agentic commerce by embedding in ChatGPTAI News Instacart has deployed an embedded checkout experience within ChatGPT through the emerging Agentic Commerce Protocol. With the deployment, the company is the first partner to launch an app on ChatGPT that offers a complete shopping cycle – from query to payment – without requiring the user to leave the conversation interface. Operationalising agentic commerce The
The post Instacart pilots agentic commerce by embedding in ChatGPT appeared first on AI News.
Instacart has deployed an embedded checkout experience within ChatGPT through the emerging Agentic Commerce Protocol. With the deployment, the company is the first partner to launch an app on ChatGPT that offers a complete shopping cycle – from query to payment – without requiring the user to leave the conversation interface. Operationalising agentic commerce The
The post Instacart pilots agentic commerce by embedding in ChatGPT appeared first on AI News. Read More
The AI Bubble Will Pop — And Why That Doesn’t MatterTowards Data Science How history’s biggest tech bubble explains where AI is headed next
The post The AI Bubble Will Pop — And Why That Doesn’t Matter appeared first on Towards Data Science.
How history’s biggest tech bubble explains where AI is headed next
The post The AI Bubble Will Pop — And Why That Doesn’t Matter appeared first on Towards Data Science. Read More
OpenAI: Enterprise users swap AI pilots for deep integrationsAI News According to OpenAI, enterprise AI has graduated from the sandbox and is now being used for daily operations with deep workflow integrations. New data from the company shows that firms are now assigning complex and multi-step workflows to models rather than simply asking for text summaries. The figures illustrate a hard change in how organisations
The post OpenAI: Enterprise users swap AI pilots for deep integrations appeared first on AI News.
According to OpenAI, enterprise AI has graduated from the sandbox and is now being used for daily operations with deep workflow integrations. New data from the company shows that firms are now assigning complex and multi-step workflows to models rather than simply asking for text summaries. The figures illustrate a hard change in how organisations
The post OpenAI: Enterprise users swap AI pilots for deep integrations appeared first on AI News. Read More
Battling algorithmic bias in digital payments leads to competition winAI News Digital payments and fintech company Ant International, has won the NeurIPS Competition of Fairness in AI Face Detection. The company says it’s committed to developing secure and inclusive financial services, particularly as deepfake technologies are becoming more common. The growing use of facial recognition in many sectors has highlighted the issue of algorithmic bias in
The post Battling algorithmic bias in digital payments leads to competition win appeared first on AI News.
Digital payments and fintech company Ant International, has won the NeurIPS Competition of Fairness in AI Face Detection. The company says it’s committed to developing secure and inclusive financial services, particularly as deepfake technologies are becoming more common. The growing use of facial recognition in many sectors has highlighted the issue of algorithmic bias in
The post Battling algorithmic bias in digital payments leads to competition win appeared first on AI News. Read More
Google, Sony Innovation Fund, and Okta back Resemble AI’s push into deepfake detectionAI News Resemble AI has raised US$13 million in a new strategic investment round for AI deepfake detection. The funding brings its total venture investment to US$25 million, with participation from Berkeley CalFund, Berkeley Frontier Fund, Comcast Ventures, Craft Ventures, Gentree, Google’s AI Futures Fund, IAG Capital Partners, and others. The funding comes as organisations are under
The post Google, Sony Innovation Fund, and Okta back Resemble AI’s push into deepfake detection appeared first on AI News.
Resemble AI has raised US$13 million in a new strategic investment round for AI deepfake detection. The funding brings its total venture investment to US$25 million, with participation from Berkeley CalFund, Berkeley Frontier Fund, Comcast Ventures, Craft Ventures, Gentree, Google’s AI Futures Fund, IAG Capital Partners, and others. The funding comes as organisations are under
The post Google, Sony Innovation Fund, and Okta back Resemble AI’s push into deepfake detection appeared first on AI News. Read More
Large Language Models: An Applied Econometric Frameworkcs.AI updates on arXiv.org arXiv:2412.07031v4 Announce Type: replace-cross
Abstract: Large language models (LLMs) enable researchers to analyze text at unprecedented scale and minimal cost. Researchers can now revisit old questions and tackle novel ones with rich data. We provide an econometric framework for realizing this potential in two empirical uses. For prediction problems — forecasting outcomes from text — valid conclusions require “no training leakage” between the LLM’s training data and the researcher’s sample, which can be enforced through careful model choice and research design. For estimation problems — automating the measurement of economic concepts for downstream analysis — valid downstream inference requires combining LLM outputs with a small validation sample to deliver consistent and precise estimates. Absent a validation sample, researchers cannot assess possible errors in LLM outputs, and consequently seemingly innocuous choices (which model, which prompt) can produce dramatically different parameter estimates. When used appropriately, LLMs are powerful tools that can expand the frontier of empirical economics.
arXiv:2412.07031v4 Announce Type: replace-cross
Abstract: Large language models (LLMs) enable researchers to analyze text at unprecedented scale and minimal cost. Researchers can now revisit old questions and tackle novel ones with rich data. We provide an econometric framework for realizing this potential in two empirical uses. For prediction problems — forecasting outcomes from text — valid conclusions require “no training leakage” between the LLM’s training data and the researcher’s sample, which can be enforced through careful model choice and research design. For estimation problems — automating the measurement of economic concepts for downstream analysis — valid downstream inference requires combining LLM outputs with a small validation sample to deliver consistent and precise estimates. Absent a validation sample, researchers cannot assess possible errors in LLM outputs, and consequently seemingly innocuous choices (which model, which prompt) can produce dramatically different parameter estimates. When used appropriately, LLMs are powerful tools that can expand the frontier of empirical economics. Read More