AI-First, Digital-First

An AI‑First or Digital‑First mindset begins with a genuine paradigm shift: you recognize that the landscape has fundamentally changed, and the old map no longer describes the territory. Instead of trying to retrofit yesterday’s operating logic, you adopt an entirely new logic; one built around how cyberspace actually behaves, how digital systems truly operate, and how artificial intelligence creates, transforms, and accelerates value.

A white paper published by the World Economic Forum, The AI-First Operating System: A Blueprint for Operating and Business Model Innovation, suggests an "AI-First" approach. 

The paper suggests five building blocks serves as somewhat of a blueprint which captures the fundamentals of how AI-first enterprises are designed and run.  Those five building blocks are: (see page 8 of the document)

  1. Intelligence engine at the core: Enterprises place intelligence at the centre of their operations and business models, turning every interaction into a compounding source of advantage. This accelerates speed, extends scale and expands scope in ways that grow stronger with use.
  2. Adaptive AI technology stack: Organizations build modular, adaptable technology architectures that integrate data, models and workflows while being designed to evolve as the frontier moves.
  3. Operations redesign: Enterprises systematically digitize their workflows with intelligence – not optimizing them at the margins but connecting all of their operations to the intelligence engine.
  4. Human-AI teaming: Roles, teams and organizational structures are designed to enable continuous collaboration between people and AI systems, defining what human contribution looks like at the frontier.
  5. New value creation: Every AI-first organization, regardless of sector, must decide how to position intelligence integration in the market. From AI as a product feature to AI as invisible infrastructure, positioning choice determines what customers pay for, where value accrues and how the business competes.
Accounting & Audit by Design (A&AD) framework embraces AI-First/Digital-First. In fact, the authors of A&AD reconciled A&AD to these five building blocks.

Relating to building block #4, Human-AI teaming.  One particularly good thing provided by the paper is a summary of the spectrum or "levels" of human agency scale (HAS). This graph show those defined levels of automation across team dynamics and degree of human involvement required:


The article mentions several companies that they hold out as examples of AI-First enterprises which include: (not sure I got all of them) Workera, Claryo, Harvey (Frontier Legal Organization), Gamma, Genesys, Cognizant, Rakuten AI, Contextere, ANT Group.

The paper is absolutely worth reading.

Additional Information:

Comments

Post a Comment

Popular posts from this blog

Internationalized Resource Identifier (IRI)

Image
An Internationalized Resource Identifier (IRI) is a standard proposed by the IETF ( RFC 3987 ).  An IRI is a unique sequence of characters that identifies a resource.   IRIs are a generalization of URIs ( RFC3986 ) that permits a wider range of Unicode characters. A  Uniform Resource Identifier (URI) is a unique sequence of characters that identifies an abstract or physical resource.  The difference between an IRI and a URI is that IRIs use the more modern  Universal Character Set (a.k.a. UNICODE)  and URIs use the older ASCII character set. The newer IRI format is compatible with the older URI format. The most  current version of RDF  uses IRIs to identify resources. Don't confuse IRIs with URLs and URNs.  A URL is a web address. A URN is a Uniform Resource Name. This Venn diagram shows the relationship between these different tools: Why are IRIs and URIs important?  If you are thinking in terms of a single database, a silo ...
Read more

Digital Proficiency

Image
A paradigm shift is occurring.  The territory is changing.  A new map is necessary. Trying to use your old map to understand the new territory will be unsatisfying. This shift is caused by the difference between how "realspace" (the real world, analog) and "cyberspace" (the internet, digital) operate. While many things will stay the same; it is also the case that entirely new business models and products are possible. Probably the biggest mistake one can make is misunderstanding the notion of intelligence and grouping "human intelligence" and "machine intelligence" together. I would contend that it is a fool's errand to try and compare machine-intelligence to human-intelligence.  They are not even in the same ballpark and they won't be for a long time, if ever.  The notion of "superintelligence" in computers is a fantasy. Computers are nowhere close to achieving superintelligence which I would consider as being human-level inte...
Read more

Example Financial Statement Holon

Image
As I have mentioned in other posts on my blog, a financial statement is a formal semantic structure , in fact a financial statement is a special type of formal semantic structure referred to as a holon . As I mentioned in my blog posts, Kurt Cagle and Chloe Shannon are providing a lot of very good information about holons on their substack. ( Here is Kurt Cagle's and Chloe Shannon's answers to my questions. Here is an example Kurt Cagle created of a financial statement as a DataBook.) I have provided a bunch of good examples of financial reporting frameworks and reports   In this blog post I want to focus on one specific financial statement and see if I can explain that a financial statement is a "container" of  blocks of information and the "information blocks" that the financial statement contains. Cagle and Shannon point out that a holon is made up of four distinct knowledge graphs that maximize coherence and operationalize the holon which are: The Sc...
Read more