The goal of this Patreon program is to form community around the small peer groups exploring managerial issues of analytical systems enabled by Deep Learning (DL), meeting regularly and guided by a group mentor.
…now that’s a mouth-full! Let’s unpack each of the highlighted terms, starting with the easiest.
Peer — Group members are peer professionals, possessing similar experiences and facing similar challenges in the context of analytical systems. The success of peer groups depends on achieving mutual respect and trust among all members.
Small –5–7 persons, where everyone has ample opportunity to contribute in all discussions. You can’t hide in the back row!
Regularly — Initially twice per month, like first and third Mondays at xx:xx UTC. Later, the group can choose their own frequency.
Group Mentor — …is NOT the instructor! Like doctorial research seminar, where everyone is the teacher. The mentor role is to guide, both the group and individuals, toward a clear understanding and practical application of DL. Success is when the mentor is no longer required by the group.
Managerial –Ultimately all discussions center on the how/why of creating and maintaining value for the organization. Technology (of any kind) and its application are merely one avenue for achieving that value. It will feel like an MBA case class!
Analytical Systems — Systems that generalizes beyond known data about a complex system, the purpose of which is the create models or patterns of the system dynamics and causal flows, the purpose of which is the understand and manage the system toward desired goals.
Deep Learning (DL) — A versatile technology with the potential to enable analytical systems to exceed human-level performance (HLP) for specific intelligence tasks, for which there are sufficient examples of good/bad behavior. With DL… We humans have created tools smart enough to out-smart ourselves!
Community — The peer groups are a temporary bridge toward increasing community among DL-knowledgeable professionals who are concerned about the proper and ethical application of this new technology. The hope is to create lasting relationships among participants within and among the peer groups.
The success factors for achieving this goal are:
- Managers who sense a critical need to explore the unique issues of Deep Learning as it applies to specific situations within their companies. And, they are willing to allot time and effort to pursue this exploration. Further, they are willing to share (non-confidential) experiences and current challenges in discussions with the group.
- A group mentor whose goal is to guide and assist, not lead or teach, knowing when to ‘get-out-of-the-way’. The success of this mentoring is when this role is no longer required by the group.
- Diversity of perspectives across organizations, functional areas, industries, and cultures, along with the openness to ponder the ethical and social issues present.
Confidentiality of Discussions
Any business application enabled by DL is a sensitive topic within corporations. The group discussions will involve these sensitive topics, among persons from different companies and backgrounds. Hence, we must respect the confidentiality of the discussion, with the following guidelines:
Sterilize it! Avoid discussing any information that could be considered confidential or sensitive. Instead sterilize it by keeping it generic. Generalize the situation, omitting extra details.
What is said within the group stays within the group. …no exceptions for sensitive topics, unless permission is grant by the group. However, most discussions will be of a generic nature, applicable to any situations. Persons are encouraged to share generic information with their colleagues outside the group. Obviously, there may often be a fine line between confidential and generic. Therefore, always ask if in doubt.