Save time, empower your teams and effectively upgrade your processes with access to this practical Artificial General Intelligence Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Artificial General Intelligence related project.
Download the Toolkit and in Three Steps you will be guided from idea to implementation results.
The Toolkit contains the following practical and powerful enablers with new and updated Artificial General Intelligence specific requirements:
STEP 1: Get your bearings
- The latest quick edition of the Artificial General Intelligence Self Assessment book in PDF containing 49 requirements to perform a quickscan, get an overview and share with stakeholders.
Organized in a data driven improvement cycle RDMAICS (Recognize, Define, Measure, Analyze, Improve, Control and Sustain), check the…
- Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation
Then find your goals...
STEP 2: Set concrete goals, tasks, dates and numbers you can track
Featuring 630 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Artificial General Intelligence improvements can be made.
Examples; 10 of the 630 standard requirements:
- How to architect an AI system so as to maximize the odds that, as it radically self-modifies and self-improves, it will not lose track of its originally programmed/taught goal system?
- How Does a Serial, Integrated, and Very Limited Stream of Consciousness Emerge from a Nervous System That Is Mostly Unconscious, Distributed, Parallel, and of Enormous Capacity?
- What do you know about individual grains of sand, or individual kittens, or drops of rain, or apples hanging on all the apple trees scattered throughout the world?
- When the system is following an algorithm for each occurrence of a problem, are different occurrences of the same problem handled by different algorithms?
- Could one build a friendly AI and thus ENSURE that when future artilects design even smarter artilects that others remain friendly to human beings?
- Can Abstract Knowledge Representations Serve As an Adequate Foundation for the Adaptive Creation of Context-Specific Knowledge Representations?
- How do you design the user interface so that it is simple enough to get the task completed speedily but complex enough to deal with the domain?
- Concepts such as language, memory and reasoning are easily observable, but are there some phenomena that have not been discovered?
- In the case of human cognition, what happens when you try to answer a question about our subjective experience of the color red?
- Task and Domain Generality: How well does a system (or architecture) support behavior across a wide range of tasks and domains?
Complete the self assessment, on your own or with a team in a workshop setting. Use the workbook together with the self assessment requirements spreadsheet:
- The workbook is the latest in-depth complete edition of the Artificial General Intelligence book in PDF containing 630 requirements, which criteria correspond to the criteria in...
Your Artificial General Intelligence self-assessment dashboard which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next:
- The Self-Assessment Excel Dashboard; with the Artificial General Intelligence Self-Assessment and Scorecard you will develop a clear picture of which Artificial General Intelligence areas need attention, which requirements you should focus on and who will be responsible for them:
- Shows your organization instant insight in areas for improvement: Auto generates reports, radar chart for maturity assessment, insights per process and participant and bespoke, ready to use, RACI Matrix
- Gives you a professional Dashboard to guide and perform a thorough Artificial General Intelligence Self-Assessment
- Is secure: Ensures offline data protection of your Self-Assessment results
- Dynamically prioritized projects-ready RACI Matrix shows your organization exactly what to do next:
STEP 3: Implement, Track, follow up and revise strategy
The outcomes of STEP 2, the self assessment, are the inputs for STEP 3; Start and manage Artificial General Intelligence projects with the 62 implementation resources:
- 62 step-by-step Artificial General Intelligence Project Management Form Templates covering over 6000 Artificial General Intelligence project requirements and success criteria:
Examples; 10 of the check box criteria:
- Requirements Management Plan: Will you use an assessment of the Artificial General Intelligence project environment as a tool to discover risk to the requirements process?
- Procurement Audit: Does the procurement Artificial General Intelligence project have a clear goal and does the goal meet the specified needs of the users?
- WBS Dictionary: Does the contractors system include procedures for measuring performance of the lowest level organization responsible for the control account?
- Source Selection Criteria: What are the limitations on pre-competitive range communications?
- Roles and Responsibilities: Do the values and practices inherent in the culture of the organization foster or hinder the process?
- Lessons Learned: What were the main sources of frustration in the Artificial General Intelligence project?
- Roles and Responsibilities: What should you do now to prepare yourself for a promotion, increased responsibilities or a different job?
- Team Directory: Does a Artificial General Intelligence project team directory list all resources assigned to the Artificial General Intelligence project?
- Change Request: How is the change documented (format, content, storage)?
- Probability and Impact Matrix: What are the current or emerging trends of culture?
Step-by-step and complete Artificial General Intelligence Project Management Forms and Templates including check box criteria and templates.
1.0 Initiating Process Group:
- 1.1 Artificial General Intelligence project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Artificial General Intelligence project Management Plan
- 2.2 Scope Management Plan
- 2.3 Requirements Management Plan
- 2.4 Requirements Documentation
- 2.5 Requirements Traceability Matrix
- 2.6 Artificial General Intelligence project Scope Statement
- 2.7 Assumption and Constraint Log
- 2.8 Work Breakdown Structure
- 2.9 WBS Dictionary
- 2.10 Schedule Management Plan
- 2.11 Activity List
- 2.12 Activity Attributes
- 2.13 Milestone List
- 2.14 Network Diagram
- 2.15 Activity Resource Requirements
- 2.16 Resource Breakdown Structure
- 2.17 Activity Duration Estimates
- 2.18 Duration Estimating Worksheet
- 2.19 Artificial General Intelligence project Schedule
- 2.20 Cost Management Plan
- 2.21 Activity Cost Estimates
- 2.22 Cost Estimating Worksheet
- 2.23 Cost Baseline
- 2.24 Quality Management Plan
- 2.25 Quality Metrics
- 2.26 Process Improvement Plan
- 2.27 Responsibility Assignment Matrix
- 2.28 Roles and Responsibilities
- 2.29 Human Resource Management Plan
- 2.30 Communications Management Plan
- 2.31 Risk Management Plan
- 2.32 Risk Register
- 2.33 Probability and Impact Assessment
- 2.34 Probability and Impact Matrix
- 2.35 Risk Data Sheet
- 2.36 Procurement Management Plan
- 2.37 Source Selection Criteria
- 2.38 Stakeholder Management Plan
- 2.39 Change Management Plan
3.0 Executing Process Group:
- 3.1 Team Member Status Report
- 3.2 Change Request
- 3.3 Change Log
- 3.4 Decision Log
- 3.5 Quality Audit
- 3.6 Team Directory
- 3.7 Team Operating Agreement
- 3.8 Team Performance Assessment
- 3.9 Team Member Performance Assessment
- 3.10 Issue Log
4.0 Monitoring and Controlling Process Group:
- 4.1 Artificial General Intelligence project Performance Report
- 4.2 Variance Analysis
- 4.3 Earned Value Status
- 4.4 Risk Audit
- 4.5 Contractor Status Report
- 4.6 Formal Acceptance
5.0 Closing Process Group:
- 5.1 Procurement Audit
- 5.2 Contract Close-Out
- 5.3 Artificial General Intelligence project or Phase Close-Out
- 5.4 Lessons Learned
With this Three Step process you will have all the tools you need for any Artificial General Intelligence project with this in-depth Artificial General Intelligence Toolkit.
In using the Toolkit you will be better able to:
- Diagnose Artificial General Intelligence projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices
- Implement evidence-based best practice strategies aligned with overall goals
- Integrate recent advances in Artificial General Intelligence and put process design strategies into practice according to best practice guidelines
Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable role; In EVERY company, organization and department.
Unless you are talking a one-time, single-use project within a business, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?'
This Toolkit empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Artificial General Intelligence investments work better.
This Artificial General Intelligence All-Inclusive Toolkit enables You to be that person.
Includes lifetime updates
Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.