Video by Open Data Science and AI Conference via YouTube
In this episode, we discuss the agentic harness behind modern AI systems, which entails the retrieval, memory, tools, orchestration, and execution environment that determine whether an AI agent can work reliably in practice.
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In this episode of SAP Design Talks, Rachel Rosenson, Head of Design at Zalando, shares how she defines good design as solving meaningful problems, powered by curiosity, intention, and craft. From improving everyday experiences to refining how teams work, Rachel explains why great design is not about “cool and flashy” moments. It is about creating outcomes that genuinely help customers and earn their trust.
Rachel also unpacks what it takes to design responsibly as AI reshapes products and services. She draws a clear line between excitement and meaningful impact, and why teams need to keep returning to fundamentals: customer behavior, business impact, and whether an experience truly “moves the needle.” When designing with AI, she emphasizes safe and responsible approaches, and the importance of making new experiences intuitive, transparent, and trustworthy, so customers understand what is happening and feel confident using it.
Finally, Rachel highlights a powerful truth about the design community: most teams are still figuring it out. Sharing how we organize, collaborate, and experiment helps everyone learn faster, without the pressure of pretending we have already solved it all. If you work in design, product, or technology, this conversation is a practical reminder to stay grounded in customer value while building what is next.
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About SAP:
As a global leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit: https://www.sap.com/index.html
Apple hit $111 billion in a non-holiday quarter, crushing previous records. The iPhone 17 series saw its best debut ever, driving incredible revenue growth. This company is a $100 billion/quarter machine. #Apple #Tech #Business #iPhone #Earnings
Shuah Khan and Greg KH will talk about Shuah’s experience as a kernel developer and maintainer, taking questions from the attendees. Shuah will share what works and what doesn’t for her and strategies, interpersonal and technical skills and mindset that help her stay engaged for a longer term.
Security and Privacy IPFire’s New DNS Firewall: IPFire introduces a DNS firewall designed to replace URL filters and Pi-hole, enhancing network security. CopyFail Linux Privilege Escalation: A new CVE (CVE-2026-31431) highlights a local privilege escalation vulnerability in Linux, raising concerns for administrators. Leaving GitHub: A programmer’s guide offers practical steps for migrating away from GitHub, … Read more
Analysis These stories highlight a pivotal moment for open source: unprecedented growth in AI development is colliding with emerging security threats and the ongoing challenge of maintainer burnout. The discovery that a simple command can turn any repo into a backdoor undetected by existing scanners (Venturebeat) underscores a critical gap in supply-chain security, especially as … Read more
AI Agents Go Mainstream with Open Standards This week’s digest highlights a clear shift: the open source community is doubling down on making AI agents practical. MCP (Model Context Protocol) from Meta is now giving Quest developers a standardized way to connect AI assistants to device logs, assets, and workflows. Meanwhile, Hugging Face’s free ‘Context … Read more
See how Codex helps sellers get ready for customer meetings faster.
Codex can bring context from Salesforce, Slack, Google Calendar, email, and docs into one clear thread. Sellers can ask questions, spot what changed, surface opportunities, and work across those apps without piecing everything together manually.
You will learn how to train models, optimize inferences, and build datasets, all by defining harness context with`SKILLS.md`, Plugins, MCP, Subagents, and Hooks.
The course includes:
– Weekly live AMA
– Practical projects for ML with context
– Instructions in Pi, Codex, Claude, and Opencode
– Tutorials and guides on fundamentals
– Interactive Quizzes
Learn to give AI agents the right knowledge, tools, and structure to actually get work done. Skills, MCP servers, plugins, multi-agent workflows, and building an agent from scratch.
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