Use .NET Core to create IoT Solutions

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.NET Conference discusses new monetization opportunities driven by IoT, showing an average operating income increase of 8% among digitally advanced companies. It emphasizes the integration of data and intelligence to enhance operations and customer engagement through various technologies like Azure, IoT, and ASP.NET Core. The document also outlines the distinction between heavy and light edge computing, along with device management solutions for IoT deployment.

Software

New monetization avenues
due to IoT-related services
Companies that increased
revenue as a result of IoT
implementation
Average increase in
operating income (avg. 8%)
among the most digitally
transformed enterprises
p
p
p
Data +
intelligence
Optimize
operations
Transform
products
Engage
customers
Empower
employees
Connected “things” by 2025
generating 180ZB of data
p

DESKTOP WEB CLOUD MOBILE GAMING IoT AI
.NET
Your platform for building anything

http://..
Client Backend
• Blazor
• Components
• SPA (JavaScript)
• MVC / Razor Pages
• Web APIs
• SignalR
• Security & identity
• Worker services
• gRPC
ASP.NET Core
gRPC gRPC

Understanding the Edge: Heavy Edge vs Light Edge
Cloud: Azure Heavy Edge Light Edge
Description
An Azure host that
spans from CPU to GPU
and FPGA VMs
A server with slots to insert CPUs, GPUs, and FPGAs or a X64 or ARM system that needs to be
plugged in to work
A Sensor with a SOC (ARM CPU, NNA, MCU) and memory that
can operate on batteries
Example
DSVM / ACI / AKS /
Batch AI
- DataBox Edge
- HPE
- Azure Stack
- DataBox Edge - Industrial PC
-Video Gateway
-DVR
-Mobile Phones
-VAIDK
-Mobile Phones
-IP Cameras
-Azure Sphere
- Appliances
What runs
model
CPU,GPU or FPGA CPU,GPU or FPGA CPU, GPU x64 CPU Multi-ARM CPU
Hw accelerated
NNA
CPU/GPU MCU

Device
Management
System
2. Return the device information.
1. Create the Enrollment list.
Device Service
Bus
Logic App
ASP.NET Core
(On Device)

IoT Hub
IoT Hub
IoT Hub
IoT Hub
IoT Hub
Device
Device Provisioning
Service
Business logic
“where’s my home?”Identity attestation
Device enrollment info
Register new device,
populate initial configRegistered device info
Registered device info
Establish connection
Initial configuration
Device telemetry
Insights
Device telemetry
…etc

Preregister now: https://visionaidevkit.com/

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Humans vs Agentic AI Cost Comparison: Cut 85% Support Costs TL;DR: Agentic AI crushes human costs in L1/L2 support with 85% savings, 300% efficiency gains, and 90%+ success rates. Your CFO just asked: "Why spend $2.3M annually on L1 support when competitors automated 80% for under $200K?" The humans vs agentic AI cost debate isn't theoretical - it's happening now. Real Cost Breakdown: - India L1/L2 Agent: ₹6,64,379 ($8,000) annually (full cost) - US L1/L2 Agent: $70,000 annually (loaded cost) - Qcall.ai Agentic AI: ₹6/min ($0.07/min) = 85% savings Game-Changing Results: - 47 human agents → 8 agents + AI system - Operating costs: $2.8M → $420K (85% reduction) - Customer satisfaction: 78% → 91% - First call resolution: 72% → 94% - Languages: 2-3 → 15+ fluently Why Agentic AI Wins: - Human Limitations: 8hrs/day, 1-2 languages, 30-45% attrition, mood-dependent, 6-12 weeks training - Qcall.ai Advantages: 24/7 availability, 97% humanized voice, <60 second response, intelligent qualification, seamless handoff Industry Impact: - E-commerce: 82% cost reduction - Healthcare: 90% appointment automation - SaaS: 23% satisfaction improvement - Financial: 95% inquiry automation Implementation: - Setup: 2-5 days vs 6-12 weeks hiring - ROI: Break-even in 3 months - Scaling: Instant global expansion Competitive Gap: - Early Adopters: 85% cost advantage, superior metrics, faster expansion Late Adopters: Higher costs, limited scalability, compounding disadvantage Similar automation patterns emerge across industries. Marketing teams use autoposting.ai for social media automation - same human-AI collaboration model driving L1/L2 transformation. "We reduced support costs by 78% while improving satisfaction by 31%. ROI was immediate and keeps compounding." - COO, Global SaaS Company Getting Started: Calculate current L1/L2 costs Assess repetitive tasks Request Qcall.ai demo Plan 20% pilot Bottom Line: Companies avoiding this shift hemorrhage millions while competitors scale globally with fraction of costs. The question isn't whether agentic AI will replace routine tasks - it's whether you'll implement before competitors gain insurmountable advantage. Ready to transform operations? This reveals complete cost analysis, implementation strategy, and competitive advantages.

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