Brief Introduction to Spectacular
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Michael Dowling has 17 years of coding experience and is currently an architect at Wells Fargo responsible for an Agile rollout. Spectacular is an ATDD tool that allows teams to use different ATDD tools and languages in a single place to keep documentation and requirements understanding together without losing Agility. It works by having the team collaborate on story requirements as tests in tools like FIT or Gherkin, then the developer writes fixtures and executes the tests in Spectacular, which reports the results all in one document. The goal is to have all tests and requirements in a single artifact that is easy to trace as different test styles are used.
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1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
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National Security Agency - NSA mobile device best practices
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
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Building Production Ready Search Pipelines with Spark and Milvus
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Main news related to the CCS TSI 2023 (2023/1695)
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The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
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Artificial Intelligence for XMLDevelopment
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“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
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* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
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Brief Introduction to Spectacular
- 1. Spectacular A Brief Introduction
- 2. Who is Michael Dowling? Coding 17 years, since I was 15 (you do the math) Started with Perl, TCL C/C++ Java & .Net (C#) Groovy & Ruby (sorta) Agile since 2002 Architect at Wells Fargo since 2006 Responsible for Agile Rollout in Wholesale LOB Team coaching, mentoring I like Eeyore. Logical, cynical Myers Briggs: INTJ (“Systems Builder”)
- 3. What is Spectacular? “Let’s invite everyone to the party!” ATDD tool that uses everyone else’s ATDD tools Keeps story documentation and team understanding of requirements in a single place without losing Agility Allows teams to use a variety of ATDD tools in a variety of languages Introduces Executable Use Cases Get it? Spectacular?
- 4. How does it work? Team Collaborates on Story Requirements Team Documents Story Requirements as Tests (FIT and/or Gherkin and/or Executable Use Cases) Developer Writes Fixtures (Java, Groovy, Ruby, Selenese)
- 5. How does it work? Developer Executes Spectacular Executable Use Case Spec Given… When… Then… Gherkin/BDD FIT
- 6. How does it work? Spectacular Reports Results (in the same document!) Given… When… Then… Given… When… Then…
- 7. Why? Practically speaking, different ATDD test “styles” help express different types of requirements With each “style” comes a different document, repository, tool Collection of different tests become scattered, difficult to trace; no single artifact with all of the requirements & tests.
- 8. Upcoming Retrieve specs from version control automatically Support specs on Google Wave Support Javascript Tests (Rhino?) Support Concordion Support Robot Framework Retrieve specs from Pivotal Tracker, Version One, Mingle UI for defining specs
- 9. More Information Michael Dowling’s Bloghttp://blog.minderupt.com/ Spectacular ATDD/BDD Toolhttp://spectacular.minderupt.com/ Current Backloghttp://spectacular.minderupt.com/backlog/