Impact & Opportunities
IoT as a technology has had a significant impact on all forms of smart products and business processes across industries, including retail, manufacturing & logistics, automobile, agriculture, hospitality & transportation, energy & utilities, healthcare, and more.
The global IoT market was worth over $690 billion in 2019, and is expected to surpass $1.2 trillion at a CAGR of 10.53% between 2020 and 2025.
(expected)
The large-scale deployment of IoT-enabled products and devices has resulted in a growing need for computing power at the edge that can cater to the colossal amounts of data generated by these devices. This, in turn, has given rise to new services, platforms, and solutions that are driven by four key elements:
- Computing Models
- Data Processing Architectures
- Connectivity Requirements
- Solution Development Models
Whether you are an existing IoT user or exploring the ways IoT and edge computing can help transform your business, determining the best suited approach to business maturity level is crucial for an effective and accelerated implementation.
The State of Edge Computing Today
Computing Models
Networking & Connectivity
Data Processing Architectures
Solution Development Models
With the emergence of 5G, service providers and enterprises are preparing for a new generation of dynamic, customized, and profitable business services.
These elements have given rise to distinct architectures depending upon the nature of the industry and use case.
Adopting Edge/IoT Computing Service for Your Enterprise
Edge computing has the power to generate significant competitive advantages for its early adopters across industries. That said, there are several factors to be considered before stepping into the game. The following decision matrix lays out the factors you should assess and analyze to determine the kind of edge architecture and adoption approach that would work best for the unique needs of your business:
Latency
Location
Analysis
Dashboard
Device Monitoring
Deployment
Security
Compliance
On/Offline Support
Data Management
Remote Management
ACS Solutions can work with you to determine the suitable architecture for your enterprise based on these parameters and incubate the same within our Edge Center.
Why ACS Solutions
With 20+ years of IT consulting experience, ACS Solutions has helped mid-market to Fortune 1000 organizations plan and execute their cloud strategy to meet current and future needs.
Partnerships
Beta Partners with Cloud platform providers around their Edge offerings (AWS Wavelength, Azure Edge Zones)
Repository and Quickstarts for rapid Edge emulation, development and deployment on 5G/4G LTE networks
ACS Edge Lab being setup in Atlanta – leveraging 5G/MEC services by Verizon/AT&T
Deep pool of Pro-certified Architects, Specialists across Native cloud, Networking, IoT, Data/AI/ML, XOps
Core multi-skilled team trained on Edge/IoT services across AWS/Azure
- Remote Firmware updates, monitoring, and management for 100,000+ Condor devices across three geographies using Azure IoT Hub
- Energy monitoring and operations optimization platform at Bax Energy for 6000+ renewable power plant locations, integrated to 5m+ devices and streaming . Built using Azure IoT Hub and other Azure services.
ACS Edge Lab
ACS Solutions has established an Edge Lab in Atlanta GA, where we have developed an ecosystem of technology assets and talent in the field of Edge Computing. The goal is to work with customers and accelerate their adoption of edge computing services tailored to specific use cases across industries.
Areas our Edge lab is focused on at present are:
Multi-platform environment, leveraging partnerships with AWS, Azure and GCP, combined with device offerings from NVIDIA, Intel, and others.
Pre-built components and quickstarts that can rapidly enable integration of IoT products and solutions with 5G/Edge services.
Emulations for different Edge computing architectures and patterns – onsite, local, private networks, carrier-driven – within ACS Edge Sandbox environment.
Speakers
Gary Palmersheim
Sr. Director, Cloud and Infrastructure Practice
Armando Aleman
Network/Infrastructure Architect
Supriya Jadhav
Data Scientist
