Wondering if you're too late to become "AI ready"? John Maeda brings good news in his latest One Dev Question. The talk introduces Microsoft's Semantic Kernel (SK), the new face of AI-powered development. This revolutionary, AI-based software development kit (SDK) is designed to be lightweight, user-friendly, and multi-layered.
- SK is part of Microsoft's AI ecosystem.
- It allows developers to easily incorporate LLM AI capabilities into their apps.
- John Maeda and Sam Schillace, Microsoft's deputy CTO, give a detailed overview of SK.
- The tutorial includes a step-by-step guide through the initial setup process.
- Extra content provides demonstrations of sample apps available in the repository.
Delving Deeper into Microsoft's Semantic Kernel
The Microsoft's Semantic Kernel (SK) continues to shape the landscape of AI-powered development. It is an integral part of the Microsoft AI ecosystem, facilitating the process of integrating sophisticated LLM AI capabilities into applications. John Maeda and Sam Schillace, two of Microsoft’s leading minds, provide a comprehensive exploration of this ground-breaking tool. From its key functionalities to initial set-up procedures, they make it easier for developers to get started with SK, illustrating it further with app examples from the repository.
Learn about Am I too late to become "AI ready"?
It is not too late to become "AI ready"! Microsoft has introduced Semantic Kernel (SK), a revolutionary, AI-powered software development kit (SDK) that is lightweight, user-friendly and multi-layered. It enables developers to seamlessly integrate AI capabilities into their apps. Award-winning designer and engineer, John Maeda, and deputy CTO of Microsoft, Sam Schillace, will provide an in-depth overview of SK, exploring its key functionalities and guiding users through the initial setup process. This tutorial will also include demonstrations of sample apps available in the repository. Additionally, Microsoft provides resources, tools, and frameworks to help developers get started with AI. With the right knowledge and tools, developers can easily incorporate AI into their applications and create new experiences.
More links on about Am I too late to become "AI ready"?
- How Advanced is Too Advanced? Exploring the ...
- Apr 3, 2023 — Is your Data AI Ready? ... This startling experiment shows how quickly AI could become too advanced and capable of becoming destructive ...
- Garrett Berntsen - A Roadmap to Getting “AI-Ready”
- Most really meaty and interesting public sector use cases of generative AI will require agencies to invest in data management to become “AI-Ready.
- We need an AI rights movement
- Mar 23, 2023 — If the minds we create are sentient, they should have their rights protected. ... Is AI ready to handle cyber-economic warfare?
- Empowering educators to be AI-ready
- by R Luckin · 2022 · Cited by 25 — This step is very much about helping an organisation to engage their staff with the idea of becoming AI Ready. b. STEP 2: TAILOR and HONE - what is the ...
- Is Artificial Intelligence Ready for Prime Time?
- May 12, 2023 — Someday, AI technology could become aware of itself or become ... Too late to save Laguna Honda intact? ... Is AI Ready for Prime Time?
- The Rise of the Digital Intelligence Age - Mohamed Sami
- Jul 3, 2021 — AI will become mature when we will dominate standards, methodology ... Although many AI-ready models and applications are already considered ...
- Introducing Practical Steps to AI Transformation | Ekohe
- Mar 1, 2022 — It's not too late yet to get started, but five years is a relatively short ... From our experience making businesses AI-ready since 2007, ...
- You have 3 years left to get AI right. Our webinar can help.
- Feb 23, 2021 — Many organizations are not AI-ready today, but should begin laying the groundwork to avoid critical blockers when the need becomes urgent.
- Microsoft reveals the A.I. skills that will be 'crucial' to ...
- May 10, 2023 — A.I. is being touted as the biggest technological advancement since ... sector believe that everyone needs to be getting A.I.-ready “today.
Keywords
AI technology, Artificial Intelligence, Semantic Kernel, Microsoft AI, SDK, John Maeda, Sam Schillace