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.
Ween.ai helps businesses turn customer data into insights for better product decisions.
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.
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.
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.
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.
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.
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.
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.
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.
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.
发布日期:2025-09-24
How AI models could manipulate, misuse, and even build systems humans can't understand.
What is Ween.ai?
Ween.ai is an AI product discovery platform that turns customer qualitative data into actionable insights. It helps businesses analyze user feedback, conduct research, and make better product decisions.
How to use Ween.ai?
To use Ween.ai, you can upload customer interviews or videos to the platform. The AI analyzes the interviews, automatically generating transcripts in multiple languages. It also extracts important highlights such as pain-points, habits, and needs. You can then automate assumption-testing by leveraging all your customer interviews. Ween.ai allows you to align your research with your business goals and easily organize and prioritize evidence-based insights. The platform brings transparency to your research, enabling you to deep dive into evidences that support any insight and make confident product decisions.
Ween.ai's Core Features
AI analysis of customer interviews
Transcript generation in multiple languages
Automatic extraction of important highlights
Assumption-testing automation
Alignment of research with business goals
Organization and prioritization of evidence-based insights
Transparency in research
Deep dive into evidences supporting insights
Ween.ai's Use Cases
#1
Product Managers: Stop manual analysis of user feedback and uncover opportunities quickly.
#2
UX Researchers: Empower research analysis with AI, spot biased questions and answers.
#3
Product Designers: Conduct comprehensive research, understand problem space, and empower design process.
#4
Product Leaders: Transform research from bottleneck to catalyst, use AI for decision-making and to deliver valuable products.
#5
Businesses: Make sense of customer data, improve decision-making, and enhance product development.
Ween.ai Support Email & Customer service contact & Refund contact etc.
More Contact, visit
the contact us page(https://meetings-eu1.hubspot.com/amel-mechalikh)
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