Artificial Intelligence Toolkit

Save time, empower your teams and effectively upgrade your processes with access to this practical Artificial Intelligence Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Artificial 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 Intelligence specific requirements:

STEP 1: Get your bearings

Start with...


• The latest quick edition of the 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 991 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 Intelligence improvements can be made.

Examples; 10 of the 991 standard requirements:


1. How can AI be used to improve customer experience through the use of augmented reality (AR) and virtual reality (VR) technologies, and what are some examples of companies that have successfully used AR and VR in customer experience applications?
   
   

2. What are the key challenges in developing AI-powered autonomous robots that can operate for extended periods of time without human intervention, and how can these be addressed through advanced power management and energy harvesting techniques?
   
   

3. How can AI be used to improve customer experience through the use of real-time language translation, and what are some examples of companies that have successfully used real-time language translation in customer experience applications?
   
   

4. In what ways can AI-powered healthcare systems improve patient outcomes and reduce healthcare costs, and what are some successful examples of AI-powered healthcare solutions that have been implemented in hospitals and clinics?
   
   

5. What role can AI play in enhancing the quality of life for individuals living in poverty, and how can AI-powered systems help address issues such as food insecurity and lack of access to education and employment opportunities?
   
   

6. How can AI be used to improve customer experience through the use of biometric authentication, and what are some examples of companies that have successfully used biometric authentication in customer experience applications?
   
   

7. How can AI be used to improve customer experience through the use of social media listening, and what are some examples of companies that have successfully used social media listening to improve customer experience?
   
   

8. How can AI-powered customer experience applications be used to improve customer experience in industries such as education and government, and what are some specific challenges and opportunities in these industries?
   
   

9. In what ways can AI-powered transportation systems improve safety, reduce traffic congestion, and enhance the overall travel experience, and what are some examples of successful AI-powered transportation solutions?
   
   

10. How can AI algorithms, such as machine learning and deep learning, be used to analyze large datasets and identify patterns that may not be apparent to human analysts, improving the accuracy of financial forecasts?
    
    


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 Intelligence book in PDF containing 991 requirements, which criteria correspond to the criteria in...


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


• 62 step-by-step Artificial Intelligence Project Management Form Templates covering over 1500 Artificial Intelligence project requirements and success criteria:


Examples; 10 of the check box criteria:


1. Stakeholder Management Plan: Do you know what your customers expectations are regarding this process?
   
   

2. Variance Analysis: What types of services and expense are shared between business segments?
   
   

3. Source Selection Criteria: If the costs are normalized, please account for how the normalization is conducted. Is a cost realism analysis used?
   
   

4. Procurement Audit: Are the responsibilities for monitoring the execution and performance of contracts clearly assigned?
   
   

5. Procurement Management Plan: Do all stakeholders know how to access the PM repository and where to find the Artificial Intelligence project documentation?
   
   

6. Variance Analysis: Are procedures for variance analysis documented and consistently applied at the control account level and selected WBS and organizational levels at least monthly as a routine task?
   
   

7. Probability and Impact Matrix: Does the Artificial Intelligence project team have experience with the technology to be implemented?
   
   

8. Duration Estimating Worksheet: Is a construction detail attached (to aid in explanation)?
   
   

9. Schedule Management Plan: Have all involved Artificial Intelligence project stakeholders and work groups committed to the Artificial Intelligence project?
   
   

10. Schedule Management Plan: Who is responsible for estimating the activity durations?


 
Step-by-step and complete Artificial Intelligence Project Management Forms and Templates including check box criteria and templates.

1.0 Initiating Process Group:


• 1.1 Artificial Intelligence project Charter

• 1.2 Stakeholder Register

• 1.3 Stakeholder Analysis Matrix


2.0 Planning Process Group:


• 2.1 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 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 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 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 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 Artificial Intelligence project with this in-depth Artificial Intelligence Toolkit.

In using the Toolkit you will be better able to:


• Diagnose 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 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 Artificial Intelligence investments work better.

This Artificial 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.