Wade4Wireless

AI and ML in IOT


In IOT, especially IIOT, adding simple ML has really helped in the past. Any automation that can be added is a plus. That’s the thing that NOCs have been doing for years, automating whatever they could. 

It’s simple, if this happens, then do that. It’s not hard but now we’re seeing automation become more and more automated. We really don’t need to set a lot of rules, just add guidelines and verify that it’s working the way we want it to. 

So, here’s the thing, once we set up a rule for one model, it can repeat over and over again with minimal intervention. Nice, right? 

Soon we will just assign the category of the device and the rest will happen on its own. It will eventually look for efficiencies, and this is where we have to be careful. It goes back to that old saying, trust but verify. Make sure the system is doing what you want it to do, not what it thinks it should be doing.

I was trying to catch up on who the players were in this market, and the list was long, but the real player is Amazon. They seem to be doing a great job on the backend.

If you’re looking for devices that have this built in, don’t hold your breath. Remember that to keep the cost down and battery reliability up you want as little as possible on the small devices. 

I see most system integrators have this figured out and are doing what they can to become more valuable for a reasonable cost. This is the key and a place where AI can make the difference. We should be able to do a lot more with less. 

Automation of the tasks, responses, maintenance, and models will make everyone’s life a whole lot easier. All this has been going on in the background for years, but now it’s going to advance quickly. Unfortunately, it’s going to start pulling away from traditional OEMs and bring in innovators. The device makers will continue to sell devices, hopefully on a larger scale.

Why are new disruptors needed? Because we’re still missing the automation and communications needed for the devices to be more independent of people. That is a key ingredient to making this thing take off on a mass scale. 

Think about this: once we configure a rule for one device model, it can be replicated indefinitely with minimal oversight, a significant efficiency boost. In the near future, categorizing a device will trigger an automated cascade of actions. The system will proactively seek out efficiencies, but caution is warranted. It’s essential to confirm that the system executes tasks as intended, not based on its ‘judgment.’

Think about the IOT market. It’s not just in manufacturing or warehouses, although that market is huge. They love automation. 

According to Grandview Research, the IIOT market in the US is $108B. That’s just for the market as we see it today. Once we can incorporate more AI functionality, it should explode.

Oh, the good news for datacenters is that IIOT uses much less processing power than normal GenAI functionality, making it more efficient. 

Although, the payback on IIOT is much lower. Devices are cheaper, monthly rates are very low, and if you don’t have a large quantity, it may not make sense. However, one system integrator could (in theory) sign thousands of customers. Think of the Cloud and Edge providers today. Let people sign themselves up like Amazon is doing today. Automation on the front end as well as the backend. 

In Summary:

The integration of AI and ML into IIoT is transforming automation, allowing systems to operate with minimal human input. Amazon leads the backend market, while system integrators enhance value with cost-effective solutions. The IIoT market, valued at $108 billion in the US, is poised for explosive growth with further AI integration. Data centers benefit from IIoT’s efficiency, requiring less processing power than general AI. The future of IIoT hinges on autonomous devices, necessitating disruptors to achieve mass-market adoption.

Do you see your opportunity here?

For your reference:

  • AI = Artificial Intelligence
  • IOT = Internet of Things
  • IIOT = Industrial IOT
  • ML = Machine Learning
  • NOC = Network Operations Center

Download the Private Wireless Networks Handbook!

More:

Offers available:

  • All my older Deployment books and SOW training can be bought here!
  • Need unlimited mobile service for a good price? I use Visible and I like them. Think about Visible. Check out this deal https://www.visible.com/get/?ZHfvq, not too shabby.
  • Looking for a new credit card? I have an Amazon Prime card because I get 5% on Amazon purchases along with 2% on restaurants and gas and 1% on everything else. I love it! Use this link to get one.

Small business owners: Looking to sell or merge? I have partners looking to partner with small tech & IT businesses. Details:

  • Looking for companies in IT, Fiber (indoor or outdoor), wireless, Wi-Fi, FWA, Venue or DAS.
  • Looking for owners ready to sell or retire.
  • Smaller companies, maybe 4 to 15 employees.
  • Concentrating on the East coast, but open to US based businesses,
  • Email me at wade@techfecta.com.

Looking for investment? I have investors! 

  • Who they can help:
    • Companies or people who need to grow, expand, hire more.
    • Someone who wants to purchase a business to expand.
    • Grow your teams.
    • Maybe you need funding to consolidate.
    • US based.
    • Maybe looking for $10M and up,

Email me at wade@techfecta.com to learn more.

Leave a comment