Save time, empower your teams and effectively upgrade your processes with access to this practical Industrial artificial intelligence Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Industrial artificial intelligence related project.

Download the Toolkit and in Three Steps you will be guided from idea to implementation results.

 

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The Toolkit contains the following practical and powerful enablers with new and updated Industrial artificial intelligence specific requirements:

STEP 1: Get your bearings

Start with…

  • The latest quick edition of the Industrial artificial 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 656 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Industrial artificial intelligence improvements can be made.

Examples; 10 of the 656 standard requirements:

  1. What are the usability implications of Industrial artificial intelligence actions?

  2. Is there a Industrial artificial intelligence management charter, including stakeholder case, problem and goal statements, scope, milestones, roles and responsibilities, communication plan?

  3. What are the best opportunities for value improvement?

  4. How frequently do we track measures?

  5. When is Knowledge Management Measured?

  6. Are there Industrial artificial intelligence problems defined?

  7. In retrospect, of the projects that we pulled the plug on, what percent do we wish had been allowed to keep going, and what percent do we wish had ended earlier?

  8. How can we incorporate support to ensure safe and effective use of Industrial artificial intelligence into the services that we provide?

  9. Does Industrial artificial intelligence appropriately measure and monitor risk?

  10. How does it fit into our organizational needs and tasks?

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 Industrial artificial intelligence book in PDF containing 656 requirements, which criteria correspond to the criteria in…

Your Industrial artificial 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 Industrial artificial intelligence Self-Assessment and Scorecard you will develop a clear picture of which Industrial artificial 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 Industrial artificial 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 Industrial artificial intelligence projects with the 62 implementation resources:

  • 62 step-by-step Industrial artificial intelligence Project Management Form Templates covering over 6000 Industrial artificial intelligence project requirements and success criteria:

Examples; 10 of the check box criteria:

  1. Team Member Performance Assessment: How do you determine which data are the most important to use, analyze, or review?
  2. Scope Management Plan: Are all payments made according to the contract(s)?
  3. Probability and Impact Assessment: Which risks need to move on to Perform Quantitative Risk Analysis?
  4. Human Resource Management Plan: Are Vendor contract reports, reviews and visits conducted periodically?
  5. Risk Register: Methodology: How will risk management be performed on this Industrial artificial intelligence project?
  6. Network Diagram: Exercise: What is the probability that the Industrial artificial intelligence project duration will exceed xx weeks?
  7. Communications Management Plan: Is the stakeholder role recognized by the organization?
  8. Activity Duration Estimates: Are risks that are likely to affect the Industrial artificial intelligence project identified and documented?
  9. Scope Management Plan: How are you planning to maintain the scope baseline and how will you manage scope changes?
  10. Lessons Learned: What were the problems encountered in the Industrial artificial intelligence project-functional area relationship, why, and how could they be fixed?

 
Step-by-step and complete Industrial artificial intelligence Project Management Forms and Templates including check box criteria and templates.

1.0 Initiating Process Group:

  • 1.1 Industrial artificial intelligence project Charter
  • 1.2 Stakeholder Register
  • 1.3 Stakeholder Analysis Matrix

2.0 Planning Process Group:

  • 2.1 Industrial artificial 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 Industrial artificial 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 Industrial artificial 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 Industrial artificial 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 Industrial artificial intelligence project or Phase Close-Out
  • 5.4 Lessons Learned

 

Results

With this Three Step process you will have all the tools you need for any Industrial artificial intelligence project with this in-depth Industrial artificial intelligence Toolkit.

In using the Toolkit you will be better able to:

  • Diagnose Industrial artificial 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 Industrial artificial 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 Industrial artificial intelligence investments work better.

This Industrial artificial intelligence All-Inclusive Toolkit enables You to be that person:

 

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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.