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.
HawkFlow.ai
HawkFlow.ai is a versatile monitoring tool for code, infrastructure, and business.
10k 热度
AI开发平台
Engineers
Data Scientists
Analysts
Product Managers
MLOps
AI Monitoring
Code Monitoring
Data Monitoring
BI Monitoring
AI Quality
AI Governance
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 HawkFlow.ai?
HawkFlow.ai is a monitoring tool that allows engineers, data scientists, analysts, and product managers to easily track and monitor various aspects of their code, infrastructure, and business. It offers features such as anomaly detection, trend analysis, data size and accuracy monitoring, run time tracking, and integration with existing machine learning infrastructure.
How to use HawkFlow.ai?
To use HawkFlow.ai, simply integrate the provided code into your existing systems. Once integrated, you can start monitoring any part of your code, infrastructure, or business by sending relevant data to the HawkFlow API. You can track numerical values, schedules, exceptions, and receive alerts and notifications regarding the state of your system. HawkFlow.ai is designed to seamlessly integrate with your development process, allowing your team to take ownership of monitoring.
HawkFlow.ai's Core Features
Anomaly detection
Trend analysis
Data size and accuracy monitoring
Run time tracking
Integration with existing ML infrastructure
Numerical value monitoring
Schedule monitoring
Exception tracking
Alerts and notifications
Seamless integration with development process
HawkFlow.ai's Use Cases
#1
Monitoring model performance and data drift
#2
Tracking code run times for ETLs, model training, analysis, queries, etc.
#3
Understanding data and algorithms
#4
Gaining insights into customer behavior and business performance
#5
Identifying issues and anomalies in real-time
FAQ from HawkFlow.ai
What can I monitor with HawkFlow.ai?
How can I get started with HawkFlow.ai?
What kind of alerts can I receive?
Can I integrate HawkFlow.ai with my existing machine learning infrastructure?
How does HawkFlow.ai help with data monitoring?
HawkFlow.ai Support Email & Customer service contact & Refund contact etc.
More Contact, visit
the contact us page(https://hawkflow.ai/contact)
HawkFlow.ai Company
HawkFlow.ai Company name:
HAWKFLOW LTD
.
HawkFlow.ai Company address:
London, United Kingdom
.
HawkFlow.ai Sign up
HawkFlow.ai Sign up Link:
https://app.hawkflow.ai/welcome/new-account
HawkFlow.ai Pricing
HawkFlow.ai Pricing Link:
https://hawkflow.ai/pricing
HawkFlow.ai Facebook
HawkFlow.ai Facebook Link:
https://www.facebook.com/profile.php?id=100089460826494
HawkFlow.ai Linkedin
HawkFlow.ai Linkedin Link:
https://www.linkedin.com/company/hawkflow-ai/
HawkFlow.ai Twitter
HawkFlow.ai Twitter Link:
https://twitter.com/HawkFlowAI
HawkFlow.ai Github
HawkFlow.ai Github Link:
https://github.com/hawkflow/hawkflow-airflow
