Native App Development for iOS, Android, and Windows with Visual Studio

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With a single solution in Visual Studio, build native cross-platform apps for iOS, Android, and Windows all in C#. James Montemagno, Developer Evangelist at Xamarin, as he shows you how Xamarin and Visual Studio 2013 give you the best environment for developing native cross-platform apps.

Technology

Native App Development for
iOS, Android, and Windows in
Visual Studio
James Montemagno, Developer Evangelist
@JamesMontemagno
www.motzcod.es

Portable Class Libraries
•1 Assembly
•Multiple Platforms

Portable Class Libraries
•1 Assembly
•Multiple Platforms
•Including:
• Xamarin.Androi
d
• Xamarin.iOS

Why Portable Class Libraries?
• Centralized Code Sharing
• How you expect it to work
• Debug seamlessly into and out of PCL
• Project/Assembly Sharing
• NuGet

Platform Independent APIs
• Platform-specific libraries can’t
be referenced
• E.g. No Silverlight Control Toolkit
• No P/Invoke to C/C++

• PCL is a subset of .NET

Microsoft NuGet Libraries
•
•
•
•
•
•
•
•
•

Async for .NET Framework 4, Silverlight 4 and 5, and WP 7.5 & 8
Microsoft BCL Build Components
Microsoft BCL Portability Pack
Microsoft Composition
Microsoft Compression
Microsoft HTTP Client Libraries
Microsoft Immutable Collections
Microsoft ASP.NET SignalR .NET Client
ODataLib

Available to Everyone!
• Easier to use
• Easier to create
• True Cross
Platform Portable
Class Libraries

Resources
• Source Code
• http://bit.ly/planet-xamarin
• Getting Started with PCL
• http://bit.ly/pcl-get-started
• Me
• @JamesMontemagno
• www.MotzCod.es

.NET Rocks! Roadshow
http://bit.ly/xamarin-dnr

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The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

Artificial Intelligence: Facts and Myths

Joaquim Jorge

In an era where artificial intelligence (AI) stands at the forefront of business innovation, Information Architecture (IA) is at the core of functionality. See “There’s No AI Without IA” – (from 2016 but even more relevant today) Understanding and leveraging how Information Architecture (IA) supports AI synergies between knowledge engineering and prompt engineering is critical for senior leaders looking to successfully deploy AI for internal and externally facing knowledge processes. This webinar be a high-level overview of the methodologies that can elevate AI-driven knowledge processes supporting both employees and customers. Core Insights Include: Strategic Knowledge Engineering: Delve into how structuring AI's knowledge base is required to prevent hallucinations, enable contextual retrieval of accurate information. This will include discussion of gold standard libraries of use cases support testing various LLMs and structures and configurations of knowledge base. Precision in Prompt Engineering: Learn the art of crafting prompts that direct AI to deliver targeted, relevant responses, thereby optimizing customer experiences and business outcomes. Unified Approach for Enhanced AI Performance: Explore the intersection of knowledge and prompt engineering to develop AI systems that are not only more responsive but also aligned with overarching business strategies. Guiding Principles for Implementation: Equip yourself with best practices, ethical guidelines, and strategic considerations for embedding these technologies into your business ecosystem effectively. This webinar is designed to empower business and technology leaders with the knowledge to harness the full potential of AI, ensuring their organizations not only keep pace with digital transformation but lead the charge. Join us to map a roadmap to fully leverage Information Architecture (IA) and AI chart a course towards a future where AI is a key pillar of strategic innovation and business success.

EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx

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Sara Mae O’Brien Scott and Tatiana Baquero Cakici, Senior Consultants at Enterprise Knowledge (EK), presented “AI Fast Track to Search-Focused AI Solutions” at the Information Architecture Conference (IAC24) that took place on April 11, 2024 in Seattle, WA. In their presentation, O’Brien-Scott and Cakici focused on what Enterprise AI is, why it is important, and what it takes to empower organizations to get started on a search-based AI journey and stay on track. The presentation explored the complexities of enterprise search challenges and how IA principles can be leveraged to provide AI solutions through the use of a semantic layer. O’Brien-Scott and Cakici showcased a case study where a taxonomy, an ontology, and a knowledge graph were used to structure content at a healthcare workforce solutions organization, providing personalized content recommendations and increasing content findability. In this session, participants gained insights about the following: Most common types of AI categories and use cases; Recommended steps to design and implement taxonomies and ontologies, ensuring they evolve effectively and support the organization’s search objectives; Taxonomy and ontology design considerations and best practices; Real-world AI applications that illustrated the value of taxonomies, ontologies, and knowledge graphs; and Tools, roles, and skills to design and implement AI-powered search solutions.

IAC 2024 - IA Fast Track to Search Focused AI Solutions

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What Are The Drone Anti-jamming Systems Technology?

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Histor y of HAM Radio presentation slide

Artificial Intelligence: Facts and Myths

EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx

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Native App Development for iOS, Android, and Windows with Visual Studio

1. Native App Development for iOS, Android, and Windows in Visual Studio James Montemagno, Developer Evangelist @JamesMontemagno www.motzcod.es

3. Portable Class Libraries •1 Assembly •Multiple Platforms

4. Portable Class Libraries •1 Assembly •Multiple Platforms •Including: • Xamarin.Androi d • Xamarin.iOS

5. Why Portable Class Libraries? • Centralized Code Sharing • How you expect it to work • Debug seamlessly into and out of PCL • Project/Assembly Sharing • NuGet

6. Platform Independent APIs • Platform-specific libraries can’t be referenced • E.g. No Silverlight Control Toolkit • No P/Invoke to C/C++ • PCL is a subset of .NET

7. What can I use?

8. Well Documented

9. Microsoft NuGet Libraries • • • • • • • • • Async for .NET Framework 4, Silverlight 4 and 5, and WP 7.5 & 8 Microsoft BCL Build Components Microsoft BCL Portability Pack Microsoft Composition Microsoft Compression Microsoft HTTP Client Libraries Microsoft Immutable Collections Microsoft ASP.NET SignalR .NET Client ODataLib

10. Available to Everyone! • Easier to use • Easier to create • True Cross Platform Portable Class Libraries

11. Demo

12. Resources • Source Code • http://bit.ly/planet-xamarin • Getting Started with PCL • http://bit.ly/pcl-get-started • Me • @JamesMontemagno • www.MotzCod.es

13. .NET Rocks! Roadshow http://bit.ly/xamarin-dnr

14. Q&A

Editor's Notes

Platform-specific libraries cannot be referenced (eg. Community.Csharp.Sqlite.WP7) PCL is a subset and may not include classes that might be available in full class library.
Change to httpclient
Let’s look at Xamarin and VS 2013 to build modern apps on iOS, Android, and Windows Let’s start with something familiar
Platform-specific libraries cannot be referenced (eg. Community.Csharp.Sqlite.WP7) PCL is a subset and may not include classes that might be available in full class library.
Platform-specific libraries cannot be referenced (eg. Community.Csharp.Sqlite.WP7) PCL is a subset and may not include classes that might be available in full class library.
Let’s look at Xamarin and VS 2013 to build modern apps on iOS, Android, and Windows Let’s start with something familiar

Native App Development for iOS, Android, and Windows with Visual Studio

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Editor's Notes