As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing's team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company's core values of safety, quality and integrity.
AIDAR is building the future of artist scouting. We help A&Rs and music professionals discover artists that truly fit their creative vision - using personalized AI agents that scout the global music landscape 24/7. The product is live, the beta is working, and we already have paying customers and EXIST AI Transfer funding. Role Now, we're hiring a Senior Full-Stack Engineer (m/w/d) to join AIDAR as our core technical hire.
Fabrice Canel, Principal Product Manager at Microsoft Bing, wrote on X, "We're hiring a very Senior Product Manager!" He added that "spam is killing trust in AI & search." "Own the fight: reduce spam across Copilot, Bing & the web using AI/ML at internet scale. Protect millions of users, brands & the AI ecosystem. Join us & build a cleaner future," he added.
A safe, universal platform for AI workloads CKACP's goal is to create community-defined, open standards for consistently and reliably running AI workloads across different Kubernetes environments. Also: Why even a US tech giant is launching 'sovereign support' for Europe now CNCF CTO Chris Aniszczyk said, "This conformance program will create shared criteria to ensure AI workloads behave predictably across environments. It builds on the same successful community-driven process we've used with Kubernetes to help bring consistency across over 100-plus Kubernetes systems as AI adoption scales."
Customer experience is entering the sci-fi age: knowing and understanding customers on an individual level, providing personalized service, and dedicated moments. All of this is becoming possible thanks to technological innovation. And as it shifts, we're moving beyond the age of reactive service, where customer satisfaction was measured by stale, bi-annual surveys. We're entering an era of proactive, predictive customer care.
This is where alert fatigue sets in. DevOps and SRE teams working with cloud workloads, microservices, and rapid deployments see hundreds of alerts triggered every day. Many are duplicates, some are irrelevant, and only a handful actually point to issues that demand attention. Result? When every alert screams 'critical', nothing feels urgent. Engineers spend hours triaging false positives, and important signals risk being buried. That delay directly increases mean time to resolution (MTTR), which ultimately means frustrated customers and financial loss for the business.
CMS announced the start of the "Crushing Fraud Chili Cook-Off Competition" on Aug. 19, calling it "a market-based research challenge" to identify emerging technologies that can "detect anomalies and trends in Medicare Fee-for-Service (FFS) claims data that can be translated into novel indicators of fraud." The agency said it is "prioritizing the use of innovative, data-driven approaches, including explainable AI/ML" that can analyze large datasets to "uncover unusual patterns, anomalies, or trends that may signal fraudulent activity."
The PowerEdge R770 server by Dell exceptionally combines Xeon 6 processing power with extensive DDR5 memory options, suitable for diverse workloads like virtualization and AI/ML tasks.
