No, AI isn't stealing your tech job - it's just transforming it
发布日期：2025-09-30
Few roles are at risk of total replacement by AI, but change is still happening fast, and hybrid skill sets are the new norm.
WhyLabs AI Observatory
WhyLabs platform enables MLOps with model and data monitoring for efficient issue detection and prevention.
10k 热度
AI开发平台
AI observability
ML monitoring
Model monitoring
Data monitoring
Data privacy
Data logging
LLM security
Hybrid SaaS deployment
Root cause analysis
软件新闻
Microsoft just added AI agents to Word, Excel, and PowerPoint - how to use them
发布日期：2025-09-29
Available for Microsoft 365 Copilot users, the new agents will help you create, edit, and analyze your documents, spreadsheets, and presentations.
Huawei details open-source AI development roadmap at Huawei Connect 2025
发布日期：2025-09-29
Open-source AI development took centre stage at Huawei Connect 2025 last week, with Huawei laying out implementation timelines and the technical specifics around making its entire AI software stack publicly available by year-end. The announcements came with context that matters to developers: frank acknowledgement of past friction, specific commitments about what components will be released, […] The post Huawei details open-source AI development roadmap at Huawei Connect 2025 appeared first on AI News.
CAMIA privacy attack reveals what AI models memorise
发布日期：2025-09-26
Researchers have developed a new attack that reveals privacy vulnerabilities by determining whether your data was used to train AI models. The method, named CAMIA (Context-Aware Membership Inference Attack), was developed by researchers from Brave and the National University of Singapore and is far more effective than previous attempts at probing the ‘memory’ of AI […] The post CAMIA privacy attack reveals what AI models memorise appeared first on AI News.
Samsung benchmarks real productivity of enterprise AI models
发布日期：2025-09-25
Samsung is overcoming limitations of existing benchmarks to better assess the real-world productivity of AI models in enterprise settings. The new system, developed by Samsung Research and named TRUEBench, aims to address the growing disparity between theoretical AI performance and its actual utility in the workplace. As businesses worldwide accelerate their adoption of large language […] The post Samsung benchmarks real productivity of enterprise AI models appeared first on AI News.
Inside Huawei’s plan to make thousands of AI chips think like one computer
发布日期：2025-09-25
Imagine connecting thousands of powerful AI chips scattered in dozens of server cabinets and making them work together as if they were a single, massive computer. That is exactly what Huawei demonstrated at HUAWEI CONNECT 2025, where the company unveiled a breakthrough in AI infrastructure architecture that could reshape how the world builds and scales […] The post Inside Huawei’s plan to make thousands of AI chips think like one computer appeared first on AI News.
Generative AI in retail: Adoption comes at high security cost
发布日期：2025-09-24
The retail industry is among the leaders in generative AI adoption, but a new report highlights the security costs that accompany it. According to cybersecurity firm Netskope, the retail sector has all but universally adopted the technology, with 95% of organisations now using generative AI applications. That’s a huge jump from 73% just a year […] The post Generative AI in retail: Adoption comes at high security cost appeared first on AI News.
OpenAI and Nvidia plan $100B chip deal for AI future
发布日期：2025-09-24
OpenAI and Nvidia have signed a letter of intent for a $100B partnership that could reshape how AI systems are trained and deployed. The plan calls for at least 10 gigawatts of Nvidia hardware to support OpenAI’s next-generation AI infrastructure, which will train and run future models aimed at superintelligence. To support the rollout, Nvidia […] The post OpenAI and Nvidia plan $100B chip deal for AI future appeared first on AI News.
Governing the age of agentic AI: Balancing autonomy and accountability
发布日期：2025-09-24
Author: Rodrigo Coutinho, Co-Founder and AI Product Manager at OutSystems AI has moved beyond pilot projects and future promises. Today, it’s embedded in industries, with more than three-quarters of organisations (78%) now using AI in at least one business function. The next leap, however, is agentic AI: systems that don’t just provide insights or automate […] The post Governing the age of agentic AI: Balancing autonomy and accountability appeared first on AI News.
Google's latest AI safety report explores AI beyond human control
发布日期：2025-09-24
How AI models could manipulate, misuse, and even build systems humans can't understand.
使用指南
What is WhyLabs AI Observability Platform?
The WhyLabs AI Observability Platform is a cloud-agnostic solution that enables MLOps by providing model monitoring and data monitoring capabilities. It supports monitoring of any type of data at any scale. The platform helps detect data and machine learning (ML) issues faster, delivers continuous improvements, and prevents costly incidents.
How to use WhyLabs AI Observability Platform?
To use the WhyLabs AI Observability Platform, you need to integrate the purpose-built agents with your existing data pipelines and multi-cloud architectures. The platform provides secure integration with built-in agents that analyze raw data without moving or duplicating it, ensuring data privacy and security. You can then continuously monitor your predictive models, generative models, data pipelines, and feature stores using the integrated agents. The platform also supports monitoring of structured or unstructured data by running whylogs on your data and uploading the logs to the platform.
WhyLabs AI Observability Platform's Core Features
Model and data health monitoring
Continuous monitoring for model input and output drift
Identification of training-serving skew
Improvement of AI performance by identifying the best model candidate and reliable features
Traceability of cohorts that contribute to model performance and introduce bias
Proactive resolution of data quality issues in feature pipelines and feature stores
LLM (Language and Learning Models) security for self-hosted and proprietary LLM APIs
Inline actions to protect against prompts with malicious intent and abuse risk
Protection against OWASP Top 10 vulnerabilities, such as prompt injections and data leakage
Continuous evaluation of LLM prompts and responses to ensure a positive user experience
Enterprise-grade features, including RBAC, SAML SSO, API controls, and advanced trigger and notification configurations
Security compliance (SOC 2 Type 2)
Hybrid SaaS deployment model for highly confidential models
Root cause analysis tools for issue investigation
Powerful monitoring algorithms for intelligent baseline and seasonal monitors
Seamless integration with existing pipelines and tools
WhyLabs AI Observability Platform's Use Cases
#1
Financial Services: Safeguard financial services businesses from the risks of AI bias and opaqueness
#2
Logistics & Manufacturing: Ensure AI continuously delivers an advantage to logistics and manufacturing businesses
#3
Retail & E-commerce: Optimize retail business decisions and ensure accurate and reliable models
#4
Healthcare: Monitor AI systems used in healthcare to ensure reliability, compliance, and patient safety
FAQ from WhyLabs AI Observability Platform
What types of data can be monitored with the WhyLabs AI Observability Platform?
Is the WhyLabs AI Observability Platform compatible with multi-cloud architectures?
Does the WhyLabs AI Observability Platform support monitoring of language and learning models (LLMs)?
Is the WhyLabs AI Observability Platform compliant with security standards?
Can the WhyLabs AI Observability Platform handle large amounts of data?
WhyLabs AI Observability Platform Support Email & Customer service contact & Refund contact etc.
More Contact, visit
the contact us page(https://whylabs.ai/contact-us#form)
WhyLabs AI Observability Platform Company
WhyLabs AI Observability Platform Company name:
WhyLabs, Inc.
.
More about WhyLabs AI Observability Platform, Please visit
the about us page(https://whylabs.ai/about)
.
WhyLabs AI Observability Platform Login
WhyLabs AI Observability Platform Login Link:
https://hub.whylabsapp.com
WhyLabs AI Observability Platform Sign up
WhyLabs AI Observability Platform Sign up Link:
https://hub.whylabsapp.com/signup
WhyLabs AI Observability Platform Pricing
WhyLabs AI Observability Platform Pricing Link:
https://whylabs.ai/pricing
WhyLabs AI Observability Platform Youtube
WhyLabs AI Observability Platform Youtube Link:
https://www.youtube.com/channel/UC9lRj988vfMTuUryc0JMPvA
WhyLabs AI Observability Platform Linkedin
WhyLabs AI Observability Platform Linkedin Link:
https://www.linkedin.com/company/whylabsai
WhyLabs AI Observability Platform Twitter
WhyLabs AI Observability Platform Twitter Link:
https://twitter.com/whylabs
WhyLabs AI Observability Platform Github
WhyLabs AI Observability Platform Github Link:
https://github.com/whylabs
