Next Generation Enterprise AI
Artificial Intelligence in many industries is in transition. As an emerging function, AI has not yet established its true operational capability in many companies.
As an emerging corporate function, artificial intelligence has no precedent as to organizational alignment, operational model, and corporate strategy. It is a deeply technical subject beyond the comfort levels of most operational and management executives. Making choices, guiding the development, hiring resources, and creating accountability require an intimate knowledge of the unique technologies involved and the unique individuals required for the work. Few people in any industry have the knowledge and the executive-level maturity to navigate the normal barriers and challenges of establishing such a unique enterprise business unit.
Decision Science offers consulting services to help AI/Decision Science Executives to formulate their business unit and establish their operational credentials inside the larger corporate environment. Decision Science consultants can play a temporary project, program, or management role to help guide the analytics initiative through start-up or next-level maturity.
Effectively 'monetizing' artificial intelligence can be a challenge. Decision Science consultants can help the advanced analytics team to quickly establish value and impact to operational results.
Decision Science consulting services help provide the foundation for an effective enterprise or divisional A.I. function. Whether an internal start-up or an established business unit undergoing transformation, Decision Science consultants can provide an experienced outside perspective and practical guidance.
Why 'Decision Science'?
Cognitive decisions are at the heart of monetizing artificial intelligence. They are the functional value for why advanced 'decision agents' and related business rules are developed and implemented. Cognitive decisions include management decisions and insights as well as transactional decisions in service processes. At Decision Science, we explore the entire field of implementing Rational Agent-driven decisions. The full value of AI demands that decision analysis is in scope for every project. Without a new kind of decision process, there is no operational gain from applied artificial intelligence.
Services
- Program Management - Start Up, Turn-around, Re-alignment, Next Level Evaluation of AI business units, capabilities/resources, and vendor services
- Executive Guidance - senior leadership advice on enterprise AI topics
- Project Management - direct project management and leadership for strategic initiatives in AI
- Technical Innovation - investigate and evaluate new technical solutions and initiatives for competitive advantage
- Design Thinking - apply design thinking methods to create a new AI-driven business process
- Temporary Chief Analytics Officer - management of the AI function during the search for a permanent resource; guide the resource development effort
- Product/Service Development - guidance and strategy for creating new products and services driven by artificial intelligence
AI by Decision Science LLC
The First 90 Days
A newly appointed analytics executive has 90 days to make an impact and establish the pathway for the enterprise to credibly impact operating results using AI. In this series of white papers, AI leaders can learn how to steer their team and their organization to a robust and well-supported effort for the long run.
This series of white papers will address various technical and business subjects around 'the business of AI' to help analytics executive advance the impact of their team and organization.
This blog will introduce a point of view for analytics executives to support the management of their team and their organization.
This paper proposes a design methodology for rational agents.
Go with the Flow – Process Architecture for Analytics and AI
This paper talks about decision-making models, process design and metrics
AI Transformation Journey - A Rational Agenda
An example of a design approach to a rational agent for insurance