Monday’s Musings: Inside The Five Levels Of Autonomous Enterprises

Sending
User Review
0 (0 votes)

Cognitive applications run mission-critical business systems in a continuous, self-driving, self-learning, auto-compliant, self-securing, and self-healing approach.  These AI driven systems intelligently automate transactional systems and processes such as campaign to lead, order to cash, procure to pay, incident to resolution, concept to market, and hire to retire.  The goal of an autonomous enterprise is to continuously automate precision decisions at scale.

Why? Transactional applications have run their course. Pressure to reduce margins, technical debt, and investment in core systems create tremendous pressure for automation.  Customers seek cognitive based approaches in order to build the foundation for AI driven precision decisions. The benefits include less staffing, reduced errors, smarter decisions, and security at scale. The quest for an autonomous enterprise starts with a desire to consider what decisions require intelligent automation vs human judgment.

Constellation identifies five levels of autonomous enterprises and predicts when these cognitive apps will deliver full autonomy in this $10.35B market by 2030 (see figure 1):

Figure 1. Understand Five Levels Of Autonomous Enterprises

Level 1 Autonomous Enterprise: Basic Automation

In this level, the system can provide basic task and workflow automation.

When? Today.
Includes: Basic process automation tools such as BPM, manual instrumentation and control, and intelligent workflow automation
Who’s in control? Humans are still in control and guide many manual steps.

Level 2 Autonomous Enterprise: Human Directed

Level 2 enables human directed automation of business processes.

When? Current state of the art
Includes: Robotic process automation, process mining tools, journey orchestration tools, machine learning algorithms, natural language processing
Who’s in control? Humans direct major decisions, minor decisions automated over time with some effort in training

Level 3 Autonomous Enterprise: Machine Intervention

Level 3 delivers automation with occasional machine intervention

When? The next big thing in 2020
Includes: Cognitive applications, neural networks, GANS models, contextual decisions, and next best actions.
Who’s driving? Humans still on standby, but can be hands-off for periods of time

Level 4 Autonomous Enterprise: Fully Autonomous

Level 4 presumes that the machines can deliver full automation but not sentience

When? Sometime in 2023
Includes: AI Driven smart services, full automation, self-learning, self-healing, and self-securing.
Who’s driving? Machines fully automated

Level 5 Autonomous Enterprise: Humans Optional

Level 5 achieves full sentience and humans may no longer be needed.

When? 2030
Includes: Fully autonomous sentience, empowering precision decisions at scale
Who’s driving? Humans fully optional

The pioneering work with early cognitive applications show exponential progress in achieving Level 4 status by 2023. Organizations will have to rethink how they work with their transactional applications, future data-driven digital networks, and distributed compute and storage environments.

The future is autonomous. Machines will deliver services that are continuous, auto-compliant, self-healing, self-learning, and self-aware. The need for greater precision decisions will require connections to data-driven digital networks and for more and more sources of data. This battle for public, private, and shared data will shape who wins in new networked economies that form the future of this autonomous decade (see video).

[embedded content]

Monday’s Musings: The Roaring 20’s and the #Futureof2020

Your POV.

Will you be ready for the autonomous enterprises?  Are you gearing up for a self-driving, self-healing, and self-sensing future?   Add your comments to the blog or reach me via email: R (at) ConstellationR (dot) com or R (at) SoftwareInsider (dot) org.

Please let us know if you need help with your AI and Digital Business transformation efforts. Here’s how we can assist:

  • Developing your digital business strategy
  • Connecting with other pioneers
  • Sharing best practices
  • Vendor selection
  • Implementation partner selection
  • Providing contract negotiations and software licensing support
  • Demystifying software licensing

Reprints can be purchased through Constellation Research, Inc. To request official reprints in PDF format, please contact Sales .

Although we work closely with many mega software vendors, we want you to trust us. For the full disclosure policy,stay tuned for the full client list on the Constellation Research website. * Not responsible for any factual errors or omissions.  However, happy to correct any errors upon email receipt.

Constellation Research recommends that readers consult a stock professional for their investment guidance. Investors should understand the potential conflicts of interest analysts might face. Constellation does not underwrite or own the securities of the companies the analysts cover. Analysts themselves sometimes own stocks in the companies they cover—either directly or indirectly, such as through employee stock-purchase pools in which they and their colleagues participate.

As a general matter, investors should not rely solely on an analyst’s recommendation when deciding whether to buy, hold, or sell a stock. Instead, they should also do their own research—such as reading the prospectus for new companies or for public companies, the quarterly and annual reports filed with the SEC—to confirm whether a particular investment is appropriate for them in light of their individual financial circumstances.

Copyright © 2001 – 2020 R Wang and Insider Associates, LLC All rights reserved.

Contact the Sales team to purchase this report on a a la carte basis or join the Constellation Executive Network

(Cross-posted @ A Software Insider’s Point of View)