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.
Delibr AI revolutionizes PRD writing with AI-generated content and dynamic templates.
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 Delibr AI?
Delibr AI is a workflow tool that helps product managers capture and structure feedback, translate it into feature documents, and align with team and stakeholders. It utilizes AI to generate content and act as a copilot, revolutionizing PRD writing with dynamic templates, decision facilitation, and two-way Jira integration.
How to use Delibr AI?
To use Delibr AI, product managers can follow these steps:
1. Gather Feedback: Collect feedback from customers in one place, automate request inflow with Zapier integration, and conduct interviews with users and stakeholders.
2. Extract Insights: Leverage AI to analyze large bodies of text and extract key data points and user pain points for actionable insights.
3. Organize Feedback: Organize insights using different trees, such as Product hierarchy tree for reactive feedback, Opportunity solution tree for proactive feedback, or Job tree to focus on user tasks.
4. Delivery: Work with the team to refine solutions based on insights, oversee development, and ensure product alignment with strategy.
5. Two-way Jira Integration: Maintain alignment between product documents and Jira tickets, saving time and effort for the team.
Delibr AI offers a user-friendly interface and utilizes AI to generate document drafts and provide suggestions for improvement, making PRD writing more efficient and comprehensive.
Delibr AI's Core Features
The core features of Delibr AI include:
- Workflow tool for capturing and structuring feedback
- AI-powered analysis of large bodies of text
- Feedback organization using different trees
- Solutions hub for presenting and prioritizing solution candidates
- PRD writing with AI-generated document drafts and collaboration
- Two-way Jira integration for maintaining alignment between product documents and Jira tickets
Delibr AI's Use Cases
#1
Delibr AI is used by product teams worldwide for:
- Gathering feedback from customers
- Conducting interviews with users and stakeholders
- Analyzing feedback and extracting insights
- Organizing insights and showcasing strategy to stakeholders
- Refining solutions based on insights
- Overseeing product development
- Ensuring product alignment with strategy
- Maintaining synchronization between product documents and Jira tickets
FAQ from Delibr AI
What is Delibr AI?
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Delibr AI Support Email & Customer service contact & Refund contact etc.
More Contact, visit
the contact us page(https://www.delibr.com/contact)
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the about us page(https://www.delibr.com/about)
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Delibr AI Login
Delibr AI Login Link:
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Delibr AI Sign up Link:
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