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Imagine your director sends you a chat message Monday morning: Our average order value dropped 7% in January, but total revenue stayed flat. Why? If you’re a data practitioner, you...
AI analytics is the practice of applying artificial intelligence and machine learning to data analysis...
Analyze your warehouse data, build audiences from that analysis, and sync them to Meta, Google, Braze and more from one AI-native workflow. No SQL, no CSVs.
BigQuery now features a suite of augmented analytics Table-Valued Functions (TVFs) designed to automate complex data analysis at scale. Augmented analytics combines AI, ML and stat...
New AI capability helps operations teams uncover recurring failures, identify locations that need attention and turn useful analysis into shareable dashboards monitorQA, the operat...
Anana captures demand intelligence from guest calls, chats, and emails before they become bookings, surfacing structured commercial insights for hotel teams through a five-componen...
Automated data analysis tools keep teams efficient. AI keeps tabs on the mundane, such as cleaning data, summarizing patterns, generating charts, creating reports, answering questi...
Starbucks, Accenture, Amazon, Splunk, Google, Uber, IBM, and many popular companies use business analytics to personalize product recommendations, land logistical business decision...
New AI assistant gives facilities teams answers backed by their own building data, with links straight to the diagnostics, tasks, and insights behind every figure BOSTON, Oct. 23,...
Most marketing teams aspire to be data-driven. In practice, getting a trusted answer,...
Agentic analytics lets AI agents investigate business questions on their own. See how Snowflake grounds, runs and governs that work.
Monitoring, Reliability and AI Operations Anonymous (not verified) Wed, 10/14/2026 - 17:44 AIS402 402 AIS AIS402 Monitoring, Reliability and AI...
First Hospitality reports 200%+ AI adoption growth in six months, with a company-wide program covering training, owner reporting, finance operations, and a proprietary GEO Playbook...
The deployment of a model or an agent is just the first step. Once it starts processing requests, you need a way to track how often the model is called, how long requests take, how...
Nearly half (47%) of manufacturers report that they are already using AI in quality processes, a significant jump from 33% just one year ago. Another 43% say they plan to deploy AI...
The platform unifies every signal across web, mobile, conversations, LLMs, and agents — turning them into predictions that drive action across the full workflow, from design to tes...
AvioBook, a Thales Group Company, prototyped Connected Analytics on Amazon Bedrock AgentCore to turn AvioBook Connect's operational data into plain-language, evidence-based answers...
Using AI for Incident Management is one of the most popular applications of predictive analytics and automation in ITSM. A recent study found that adoption of AI-assisted incident...
Experro launches EMA, an AI merchandiser that digs through your store data, finds the revenue you're losing, and makes the fixes itself, not just recommending them.
BMW Group operates CLEA, a FinOps platform monitoring more than 14,000 cloud accounts. This post shows how BMW added automated daily cost anomaly detection, moving from reactive da...
The application—dubbed CareIntellect for Operations—can forecast capacity constraints up to 72 hours in advance, the company says.
In this post, you will learn how GoDaddy migrated from their legacy business intelligence (BI) tool to Amazon Quick. This was a two-year transformation that delivered results acros...
Your IT environment generates thousands of monitoring events, patching tasks, service requests, and remediation actions every day. But it is not just your environment that is busy....
By analyzing real-time operational data alongside historical patterns, AI can optimize order fulfillment, dynamically direct picking routes, and reduce unnecessary travel and handl...
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