Category: AI & Automation


  • The AI that scored 95% — until consultants learned it was AI

    Presented by SAP When SAP ran a quiet internal experiment to gauge consultant attitudes toward AI, the results were striking. Five teams were asked to validate answers to more than 1,000 business requirements completed by SAP’s AI co-pilot, Joule for Consultants — a workload that would normally take several weeks. Four teams were told the…

  • Brand-context AI: The missing requirement for marketing AI

    Presented by BlueOcean AI has become a central part of how marketing teams work, but the results often fall short. Models can generate content at scale and summarize information in seconds, yet the outputs are not always aligned with the brand, the audience, or the company’s strategic goals. The problem is not capability. The problem…

  • Acquiring fundamental conflict resolution skills is critical for effective communication and collaboration in any environment. Active listening allows you to understand others’ perspectives fully, whereas empathy enables you to appreciate differing viewpoints. Emotional intelligence helps you maintain composure during disputes, cultivating constructive dialogue. These skills not merely improve problem-solving but additionally contribute to a healthier…

  • Booking.com’s agent strategy: Disciplined, modular and already delivering 2× accuracy

    When many enterprises weren’t even thinking about agentic behaviors or infrastructures, Booking.com had already “stumbled” into them with its homegrown conversational recommendation system. This early experimentation has allowed the company to take a step back and avoid getting swept up in the frantic AI agent hype. Instead, it is taking a disciplined, layered, modular approach…

  • Z.ai debuts open source GLM-4.6V, a native tool-calling vision model for multimodal reasoning

    Chinese AI startup Zhipu AI aka Z.ai has released its GLM-4.6V series, a new generation of open-source vision-language models (VLMs) optimized for multimodal reasoning, frontend automation, and high-efficiency deployment. The release includes two models in "large" and "small" sizes: GLM-4.6V (106B), a larger 106-billion parameter model aimed at cloud-scale inference GLM-4.6V-Flash (9B), a smaller model…

  • Anthropic's Claude Code can now read your Slack messages and write code for you

    Anthropic on Monday launched a beta integration that connects its fast-growing Claude Code programming agent directly to Slack, allowing software engineers to delegate coding tasks without leaving the workplace messaging platform where much of their daily communication already happens. The release, which Anthropic describes as a "research preview," is the AI safety company's latest move…

  • Design in the age of AI: How small businesses are building big brands faster

    Presented by Design.com For most of history, design was the last step in starting a business — something entrepreneurs invested in once the idea was proven. Today, it’s one of the first. The rise of generative AI has shifted how small businesses imagine, launch, and grow — turning what used to be a months-long creative…

  • Creating an effective customer feedback survey is crucial for gathering valuable insights. Start by setting clear objectives that align with your business goals. Then, keep your survey concise, limiting questions to 10-15 for quick completion. Furthermore, include just one or two open-ended questions to capture detailed input. By diversifying your respondent pool, you guarantee varied…

  • If you’re looking to improve collaboration within your team without breaking the bank, there are several effective and affordable activities to take into account. Options like Spectrum Mapping and Silent Team Building can promote communication and comprehension among team members. Furthermore, creative pursuits such as Team Acrostics or DIY Team Newspapers can strengthen group identity.…

  • Why AI coding agents aren’t production-ready: Brittle context windows, broken refactors, missing operational awareness

    Remember this Quora comment (which also became a meme)? (Source: Quora) In the pre-large language model (LLM) Stack Overflow era, the challenge was discerning which code snippets to adopt and adapt effectively. Now, while generating code has become trivially easy, the more profound challenge lies in reliably identifying and integrating high-quality, enterprise-grade code into production…