Javascript Unit Testing Tools
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Javascript testing (Javascript unit test) is an essential part when your developer is using logic in his code. Like hundreds of other things in the world of JavaScript , there are many choices for how to unit test the code. Here we compare some best javascript testing unit tools like karma, jasmine, Qunit, Mocha etc.
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Description
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Agentic AI - The New Era of IntelligenceMuzammil Shah This presentation is specifically designed to introduce final-year university students to the foundational principles of Agentic Artificial Intelligence (AI). It aims to provide a clear understanding of how Agentic AI systems function, their key components, and the underlying technologies that empower them. By exploring real-world applications and emerging trends, the session will equip students with essential knowledge to engage with this rapidly evolving area of AI, preparing them for further study or professional work in the field.
Multistream in SIP and NoSIP @ OpenSIPS Summit 2025
Multistream in SIP and NoSIP @ OpenSIPS Summit 2025Lorenzo Miniero Slides for my "Multistream support in the Janus SIP and NoSIP plugins" presentation at the OpenSIPS Summit 2025 event.
They describe my efforts refactoring the Janus SIP and NoSIP plugins to allow for the gatewaying of an arbitrary number of audio/video streams per call (thus breaking the current 1-audio/1-video limitation), plus some additional considerations on what this could mean when dealing with application protocols negotiated via SIP as well.
AI Emotional Actors: “When Machines Learn to Feel and Perform"
AI Emotional Actors: “When Machines Learn to Feel and Perform"AkashKumar809858 Welcome to the era of AI Emotional Actors.
The entertainment landscape is undergoing a seismic transformation. What started as motion capture and CGI enhancements has evolved into a full-blown revolution: synthetic beings not only perform but express, emote, and adapt in real time.
For reading further follow this link -
https://akash97.gumroad.com/l/meioex
Agentic AI Explained: The Next Frontier of Autonomous Intelligence & Generati...
Agentic AI Explained: The Next Frontier of Autonomous Intelligence & Generati...Aaryan Kansari Agentic AI Explained: The Next Frontier of Autonomous Intelligence & Generative AI
Discover Agentic AI, the revolutionary step beyond reactive generative AI. Learn how these autonomous systems can reason, plan, execute, and adapt to achieve human-defined goals, acting as digital co-workers. Explore its promise, key frameworks like LangChain and AutoGen, and the challenges in designing reliable and safe AI agents for future workflows.
Sticky Note Bullets:
Definition: Next stage beyond ChatGPT-like systems, offering true autonomy.
Core Function: Can "reason, plan, execute and adapt" independently.
Distinction: Proactive (sets own actions for goals) vs. Reactive (responds to prompts).
Promise: Acts as "digital co-workers," handling grunt work like research, drafting, bug fixing.
Industry Outlook: Seen as a game-changer; Deloitte predicts 50% of companies using GenAI will have agentic AI pilots by 2027.
Key Frameworks: LangChain, Microsoft's AutoGen, LangGraph, CrewAI.
Development Focus: Learning to think in workflows and goals, not just model outputs.
Challenges: Ensuring reliability, safety; agents can still hallucinate or go astray.
Best Practices: Start small, iterate, add memory, keep humans in the loop for final decisions.
Use Cases: Limited only by imagination (e.g., drafting business plans, complex simulations).
Offshore IT Support: Balancing In-House and Offshore Help Desk Technicians
Offshore IT Support: Balancing In-House and Offshore Help Desk Techniciansjohn823664 In today's always-on digital environment, businesses must deliver seamless IT support across time zones, devices, and departments. This SlideShare explores how companies can strategically combine in-house expertise with offshore talent to build a high-performing, cost-efficient help desk operation.
From the benefits and challenges of offshore support to practical models for integrating global teams, this presentation offers insights, real-world examples, and key metrics for success. Whether you're scaling a startup or optimizing enterprise support, discover how to balance cost, quality, and responsiveness with a hybrid IT support strategy.
Perfect for IT managers, operations leads, and business owners considering global help desk solutions.
The case for on-premises AI
The case for on-premises AIPrincipled Technologies Exploring the advantages of on-premises Dell PowerEdge servers with AMD EPYC processors vs. the cloud for small to medium businesses’ AI workloads
AI initiatives can bring tremendous value to your business, but you need to support your new AI workloads effectively. That means choosing the best possible infrastructure for your needs—and many companies are finding that the cloud isn’t right for them. According to a recent Rackspace survey of IT executives, 69 percent of companies have moved some of their applications on-premises from the cloud, with half of those citing security and compliance as the reason and 44 percent citing cost.
On-premises solutions provide a number of advantages. With full control over your security infrastructure, you can be certain that all compliance requirements remain firmly in the hands of your IT team. Opting for on-premises also gives you the ability to design your infrastructure to the precise needs of that team and your new AI workloads. Depending on the workload, you may also see performance benefits, along with more predictable costs. As you start to build your next AI initiative, consider an on-premises solution utilizing AMD EPYC processor-powered Dell PowerEdge servers.
Microsoft Build 2025 takeaways in one presentation
Microsoft Build 2025 takeaways in one presentationDigitalmara Microsoft Build 2025 introduced significant updates. Everything revolves around AI. DigitalMara analyzed these announcements:
• AI enhancements for Windows 11
By embedding AI capabilities directly into the OS, Microsoft is lowering the barrier for users to benefit from intelligent automation without requiring third-party tools. It's a practical step toward improving user experience, such as streamlining workflows and enhancing productivity. However, attention should be paid to data privacy, user control, and transparency of AI behavior. The implementation policy should be clear and ethical.
• GitHub Copilot coding agent
The introduction of coding agents is a meaningful step in everyday AI assistance. However, it still brings challenges. Some people compare agents with junior developers. They noted that while the agent can handle certain tasks, it often requires supervision and can introduce new issues. This innovation holds both potential and limitations. Balancing automation with human oversight is crucial to ensure quality and reliability.
• Introduction of Natural Language Web
NLWeb is a significant step toward a more natural and intuitive web experience. It can help users access content more easily and reduce reliance on traditional navigation. The open-source foundation provides developers with the flexibility to implement AI-driven interactions without rebuilding their existing platforms. NLWeb is a promising level of web interaction that complements, rather than replaces, well-designed UI.
• Introduction of Model Context Protocol
MCP provides a standardized method for connecting AI models with diverse tools and data sources. This approach simplifies the development of AI-driven applications, enhancing efficiency and scalability. Its open-source nature encourages broader adoption and collaboration within the developer community. Nevertheless, MCP can face challenges in compatibility across vendors and security in context sharing. Clear guidelines are crucial.
• Windows Subsystem for Linux is open-sourced
It's a positive step toward greater transparency and collaboration in the developer ecosystem. The community can now contribute to its evolution, helping identify issues and expand functionality faster. However, open-source software in a core system also introduces concerns around security, code quality management, and long-term maintenance. Microsoft’s continued involvement will be key to ensuring WSL remains stable and secure.
• Azure AI Foundry platform hosts Grok 3 AI models
Adding new models is a valuable expansion of AI development resources available at Azure. This provides developers with more flexibility in choosing language models that suit a range of application sizes and needs. Hosting on Azure makes access and integration easier when using Microsoft infrastructure.
ECS25 - The adventures of a Microsoft 365 Platform Owner - Website.pptx
ECS25 - The adventures of a Microsoft 365 Platform Owner - Website.pptxJasper Oosterveld My slides for ECS 2025.
Measuring Microsoft 365 Copilot and Gen AI Success
Measuring Microsoft 365 Copilot and Gen AI SuccessNikki Chapple Session | Measuring Microsoft 365 Copilot and Gen AI Success with Viva Insights and Purview
Presenter | Nikki Chapple 2 x MVP and Principal Cloud Architect at CloudWay
Event | European Collaboration Conference 2025
Format | In person Germany
Date | 28 May 2025
📊 Measuring Copilot and Gen AI Success with Viva Insights and Purview
Presented by Nikki Chapple – Microsoft 365 MVP & Principal Cloud Architect, CloudWay
How do you measure the success—and manage the risks—of Microsoft 365 Copilot and Generative AI (Gen AI)? In this ECS 2025 session, Microsoft MVP and Principal Cloud Architect Nikki Chapple explores how to go beyond basic usage metrics to gain full-spectrum visibility into AI adoption, business impact, user sentiment, and data security.
🎯 Key Topics Covered:
Microsoft 365 Copilot usage and adoption metrics
Viva Insights Copilot Analytics and Dashboard
Microsoft Purview Data Security Posture Management (DSPM) for AI
Measuring AI readiness, impact, and sentiment
Identifying and mitigating risks from third-party Gen AI tools
Shadow IT, oversharing, and compliance risks
Microsoft 365 Admin Center reports and Copilot Readiness
Power BI-based Copilot Business Impact Report (Preview)
📊 Why AI Measurement Matters: Without meaningful measurement, organizations risk operating in the dark—unable to prove ROI, identify friction points, or detect compliance violations. Nikki presents a unified framework combining quantitative metrics, qualitative insights, and risk monitoring to help organizations:
Prove ROI on AI investments
Drive responsible adoption
Protect sensitive data
Ensure compliance and governance
🔍 Tools and Reports Highlighted:
Microsoft 365 Admin Center: Copilot Overview, Usage, Readiness, Agents, Chat, and Adoption Score
Viva Insights Copilot Dashboard: Readiness, Adoption, Impact, Sentiment
Copilot Business Impact Report: Power BI integration for business outcome mapping
Microsoft Purview DSPM for AI: Discover and govern Copilot and third-party Gen AI usage
🔐 Security and Compliance Insights: Learn how to detect unsanctioned Gen AI tools like ChatGPT, Gemini, and Claude, track oversharing, and apply eDLP and Insider Risk Management (IRM) policies. Understand how to use Microsoft Purview—even without E5 Compliance—to monitor Copilot usage and protect sensitive data.
📈 Who Should Watch: This session is ideal for IT leaders, security professionals, compliance officers, and Microsoft 365 admins looking to:
Maximize the value of Microsoft Copilot
Build a secure, measurable AI strategy
Align AI usage with business goals and compliance requirements
🔗 Read the blog https://nikkichapple.com/measuring-copilot-gen-ai/
Dr Jimmy Schwarzkopf presentation on the SUMMIT 2025 A
Dr Jimmy Schwarzkopf presentation on the SUMMIT 2025 ADr. Jimmy Schwarzkopf Introduction and Background:
Study Overview and Methodology: The study analyzes the IT market in Israel, covering over 160 markets and 760 companies/products/services. It includes vendor rankings, IT budgets, and trends from 2025-2029. Vendors participate in detailed briefings and surveys.
Vendor Listings: The presentation lists numerous vendors across various pages, detailing their names and services. These vendors are ranked based on their participation and market presence.
Market Insights and Trends: Key insights include IT market forecasts, economic factors affecting IT budgets, and the impact of AI on enterprise IT. The study highlights the importance of AI integration and the concept of creative destruction.
Agentic AI and Future Predictions: Agentic AI is expected to transform human-agent collaboration, with AI systems understanding context and orchestrating complex processes. Future predictions include AI's role in shopping and enterprise IT.
Javascript Unit Testing Tools
- 2. Why Javascript for Testing? ➔ Free ➔ Open Source ➔ Modular ➔ Active & Vibrant community ➔ Client & server in javascript - why not tests?
- 6. Jasmine ➔ Most used Javascript testing tool used for Python & ruby too. ➔ Simple to setup ➔ Supported by many CIs(Codeship, Travic, etc) ➔ Descriptive syntax for BDD Testing For Any Query Contact us
- 9. For Any Query Contact us Quint QUnit is a powerful JavaScript unit testing framework that helps you to debug code. It's written by members of the jQuery team, and is the official test suite for jQuery. Test any regular JavaScript code, and it's even able to test server-side JavaScript via some JavaScript engine like Rhino or V8.
- 11. For Any Query Contact us Mocha ➔ Javascript framework running on Node.js & in the browser. ➔ Mocha tests run serially, allowing for flexible and accurate reporting, while mapping uncaught exceptions to the correct test cases. ➔ Highly extensible ➔ Easy to setup
- 12. Run unit tests with Mocha
- 13. Result of unit tests with Mocha
- 14. For Any Query Contact us Tape ➔ Tape is a simple TAP-producing test library for node and browsers. ➔ The tape API is a small superset of the node core assert module. Here are some key features of Tape : ➔ Cross browser compatibility ➔ CI support
- 16. For Any Query Contact us karma ➔ Karma is a tool that enables the running of source code (i.e. JavaScript) against real browsers via the CLI. The fact that it runs against real browsers rather than “fakes” with a virtual DOM is extremely powerful. DOM implementations vary across browsers therefore the idea is to use the actual browsers for correctness.
- 17. AngularJS unit testing with karma
- 18. Who we Are? Pixelcrayons is an award winning Digital Consulting & Engineering Firm offering end-to-end solutions to Enterprises, Digital Agencies and Startups.