Introduction to Microsoft Bot Framework

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Bot Framework is a Microsoft-operated service and SDK that allows developers to build bots. It is one tool among others like LUIS, Speech APIs, and Azure that are part of Microsoft's Cognitive Services suite for building complete conversational bots. Developers can use Bot Framework along with other tools like LUIS and Visual Studio to create bots that connect to users through various channels.

Bot Framework is a Microsoft-operated
service and an SDK.
Bot Framework is one of many tools
Microsoft offers for building a complete
bot.
Others include: LUIS, Speech APIs, Azure which
all makes the Microsoft Cognitive Services

Your conversation logic
Logic
Web
service
LUIS

Your bot
{
"type": "Message",
"id": "68YrxgtB53Y",
"conversationId": "DphPaFQrDuZDKyCez4AFGcT4vy5aQDje1lLGIjB8v18MFtb",
"language": "en",
"text": "You can say "/order" to order!",
"attachments": [ ],
"from": {
"name": "+12065551212",
"channelId": "sms",
"address": "+12065551212",
"id": "Ro52hKN287",
"isBot": false
},
"channelData": { SMS data here },
"botUserData": { your data here },
...
}
Bot
Connector

Visual Studio
Template
Simple Bot LUIS
Publish to
Azure
Connect to
users

Visual Studio
Template
Simple
Bot
LUIS
Publish to
Azure
Connect to
users
Make your bot
conversational

Visual Studio
Template
Simple
Stock Bot
LUIS
Publish to
Azure
Connect to
users
Make your bot
conversational

o
Alok Rajasukumaran
Lead Developer – Innovation Team
Astro-Vision FutureTech Pvt. Ltd.
@alokraj68 | http://alokraj68.in

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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2025/06/why-its-critical-to-have-an-integrated-development-methodology-for-edge-ai-a-presentation-from-lattice-semiconductor/ Sreepada Hegade, Director of ML Systems and Software at Lattice Semiconductor, presents the “Why It’s Critical to Have an Integrated Development Methodology for Edge AI” tutorial at the May 2025 Embedded Vision Summit. The deployment of neural networks near sensors brings well-known advantages such as lower latency, privacy and reduced overall system cost—but also brings significant challenges that complicate development. These challenges can be addressed effectively by choosing the right solution and design methodology. The low-power FPGAs from Lattice are well poised to enable efficient edge implementation of models, while Lattice’s proven development methodology helps to mitigate the challenges and risks associated with edge model deployment. In this presentation, Hegade explains the importance of an integrated framework that tightly consolidates different aspects of edge AI development, including training, quantization of networks for edge deployment, integration with sensors and inferencing. He also illustrates how Lattice’s simplified tool flow helps to achieve the best trade-off between power, performance and efficiency using low-power FPGAs for edge deployment of various AI workloads.

TrustArc Webinar - 2025 Global Privacy SurveyTrustArc

How does your privacy program compare to your peers? What challenges are privacy teams tackling and prioritizing in 2025? In the sixth annual Global Privacy Benchmarks Survey, we asked global privacy professionals and business executives to share their perspectives on privacy inside and outside their organizations. The annual report provides a 360-degree view of various industries' priorities, attitudes, and trends. See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe. This webinar features an expert panel discussion and data-driven insights to help you navigate the shifting privacy landscape. Whether you are a privacy officer, legal professional, compliance specialist, or security expert, this session will provide actionable takeaways to strengthen your privacy strategy. This webinar will review: - The emerging trends in data protection, compliance, and risk - The top challenges for privacy leaders, practitioners, and organizations in 2025 - The impact of evolving regulations and the crossroads with new technology, like AI Predictions for the future of privacy in 2025 and beyond

Artificial Intelligence in the Nonprofit Boardroom.pdfOnBoard

Tech-ASan: Two-stage check for Address Sanitizer - Yixuan Cao.pdfcaoyixuan2019

No-Code Workflows for CAD & 3D Data: Scaling AI-Driven InfrastructureSafe Software

When projects depend on fast, reliable spatial data, every minute counts. AI Clearing needed a faster way to handle complex spatial data from drone surveys, CAD designs and 3D project models across construction sites. With FME Form, they built no-code workflows to clean, convert, integrate, and validate dozens of data formats – cutting analysis time from 5 hours to just 30 minutes. Join us, our partner Globema, and customer AI Clearing to see how they: -Automate processing of 2D, 3D, drone, spatial, and non-spatial data -Analyze construction progress 10x faster and with fewer errors -Handle diverse formats like DWG, KML, SHP, and PDF with ease -Scale their workflows for international projects in solar, roads, and pipelines If you work with complex data, join us to learn how to optimize your own processes and transform your results with FME.