Chief Integration & Implementation Officer
Anthony is a Sr. IoT & Wireless Strategy Manager at Spectrum, leading the strategy and product management for IT, IoT, IIoT, private wireless, fixed wireless access, WiFi, and smart buildings solutions. With over 21 years of experience in the IT, IoT, and wireless industries, he has a proven track record of driving $10M+ annual sales, delivering innovative products and services, and building strong customer relationships. Recognized expert and public speaker on smart cities, smart buildings and IoT. Possessing numerous certifications in IT, IoT & Cybersecurity.
Anthony is passionate about designing and engineering technology solutions to meet the business initiatives of my clients, solve urban problems, enhance sustainability, and improve quality of life. As a member of the IEEE IoT and Smart Cities Working Group, he contributes to the development of standards and best practices for the field. 12 yr. Lean Six Sigma Black Belt consultant, a certified network monitoring expert, and a cybersecurity advisor.
My Perspective
What I'm Thinking
Let Me Say This:
It’s a challenging time to be a CTO, for exactly the reasons we became technologists in the first place. IT Network Connectivity, Hardware and Software Systems involved in business processes and operations have all come together to drive the explosion of IoT and most importantly the DATA that those systems can now bring out of our business operations.
Call me biased, but that makes the CTO role central to the success of the enterprise.
If the CTO has a deep understanding of the value proposition of the business and the tech available to that business, the particular healthcare specialties and tools of an operator of clinics for instance, then that CTO can have an outsized impact on the VALUE of the enterprise.
There are multiple, robust, appropriate private network solutions to deploy in support of the many diverse tech ecosystems applicable to business operations: yes, private 5G and WiFi, but also now wireless, CBRS, cellular mesh, DAS, etc., and the tier one ISP and cellular providers are finally all mostly aligned in support. Most radically, AI is finally ready for application against the ocean of proprietary data we can aggregate from all these tech systems. We couldn’t credibly say that a year ago.
The LCP team, and our Vendor-Partners, have deep experience in all of these evolving connectivity and IoT tools. We bring that to bear for our clients in the “design/ install” and “manage maintain” of these systems. We want to augment or perform, in whole or part, the CTO role for you.
Anthony Veri Jr
Chief Technology Officer
What I'm Reading
What I'm Reading
This article is behind a paywall, but the immense success of DeepI is predicated on the move toward purpose built "Vertical AI's" trained on proprietary data. In order to gather that data from your Operations and IoT hardware and software, your networks in your spaces have to be chosen, designed, installed and maintained with these data analytics goals in mind
Here is a simple article outlining how AI is evolving to prompt us, as opposed to the users prompting the AI. This no brainer benefit is, again, dependent on the quality of the proprietary data we can wring out of the machines and systems in our operating spaces.
A high level easy read, but on point. At LCP we are working on purpose build, "Vertical AI" tools with our Vendor Partners to answer for some of the limitations referenced here:
Why It’s Extremely Hard to Start an AI Application Business with Large Language Models
Still high level, but more tech specific. We are working with our Vendor Partners in the author's "Zone 5":
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