Here is a brief snap update on how the world, business, and your engineering of products are changing with artificial intelligence / machine learning, and cybersecurity globally. This is an exciting and new frontier, but we have already had experience in these areas. Applying those lessons; building on them, and adapting are gonna serve us very well.

Again .. rapid fire of a statement / question and the answer as of today.

What is working.. what is doin.. focus on the framework vs the results / output.

What are you looking for in these algorithms — originally fraud?

Then what, weaknesses, and finally appropriate use of data. Moral and ethical decisions issues exist and will expand too (especially by gov).

Privacy set precedent on rights of data. Next will be ai/ml humane decisions. Quantifying digitally human choices must reflect social norms as applied IRL.

How can we transition our technology and business operations to lead the charge?

To transition a business beyond monolithic to cloud, to agile, and ultimately ML/AI smart, it begins at fragmentation. Fragmenting / Atomizing of business and technology services is first step. Followed by demonstrated logic in scaling, troubleshooting, and self correction w/o humans. This is the path proven over the past 2 decades, and is available to all.

Where can leaders find guidance today — DevSecOps and agile are a mandatory first step. Lacking this skill will cost margin, jobs, and market relevance.

Expect regulations and market pressure on

— the algorithm, the machine language. The build out of these requires a deep connection with cyber and technology teams. Regulation will cover the logic and rules of these systems. To date, financial algorithms show early rules and requirements, but the scope and fear will rise as ai/ml directly engage with consumers.

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About the author

  • 24 Year technology veteran
  • Helped launch clouds for EMC and Cisco
  • GOOGLE, Microsoft FEDRAMP & ISO 27001 — Oversaw / Part of team deploying / Managed Cloud Compliance

James — executive to deliver products to market; author; inventor; speaker, and technologist with decades of experience across all technology and cybersecurity. (LinkedIN to connect and engage)

James is a leader that has balanced product market success with rapid regulations, cyber, customer demands, and supplier challenges at Honeywell, Google, and Microsoft in the recent past. Successful in building large teams and influence driven initiatives that have saved millions in new revenue and savings for Honeywell. Passionate about the product creation process; the value of intertwining privacy and quality together, and the opportunity present through branding and value.

James leads with the Senior Leadership across the globe and partners for critical priorities at Honeywell to identify new innovation opportunities through strategy and practical implementations within the Azure cloud, machine learning, artificial intelligence, and industrial products.

James has successfully grown from zero to $50MM business and brands as a founder, owner, and within the Fortune 200. A track record built with wins and losses, that are always building on his network across the globe with the best technologists and great peers to bring the best talent and resources to each project.

James began transforming the Honeywell supply chain strategy that have delivered efficiencies (reduction of idea to signature) and pragmatic development of partnerships that have expanded our market offerings across Honeywell.

James’ continues to lead and advise on their cloud strategy, cloud innovation, cost consolidation, cyber security, and compliance across the various businesses within Honeywell.

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