Guide AI Planning: motivation to build beautiful, refined and intuitive products.



More Uses of the AI Planning Toolkit:




• Orchestrate AI Planning: present your AI team is focused on all aspects of 1) designing, prototyping and developing solutions (algorithms and architectures for object detection, classification etc.
  
  

• Oversee AI Planning: partner with platform teams, Data Engineering, and Data Science teams to develop the tools and processes needed to build AI driven platforms.
  
  

• Be certain that your corporation complies; address aspects as Data Privacy and security, data ingestion and processing, Data Storage and compute, analytical and operational consumption, Data Modeling, Data Virtualization, Self Service data preparation and analytics, AI enablement, and API integrations.
  
  

• Collaborate with Data Analysts, Data Scientists, AI Software Engineers, and stakeholders to make effective use of Core Data assets.
  
  

• Ensure you cultivate; lead and support the delivery of a broad range of Data, Analytics, Advanced Analytics, Visualization, Data Science, RPA and AI related Strategy / Advisory engagements.
  
  

• Ensure you unite; powered by AI and Advanced Analytics, your enterprise decision platform enables business leaders to solve problems in new ways and make smarter decisions faster as thE Business and operating models change.
  
  

• Organize AI Planning: Risk Assessments, cloud workgroup meetings, Contract Negotiation, develop standards and policy related to cloud, Machine Learning, AI and Big Data.
  
  

• Evaluate AI Planning: AI Algorithms Engineering Management.
  
  

• Supervise AI Planning: algorithmic complexity, Deep Learning Performance Analysis and profiling, Distributed Computing, AI accelerators, gpus.
  
  

• Devise AI Planning: powerful AI tools are used in User Acquisition, retargeting, and branding.
  
  

• Systematize AI Planning: data, analytics and AI are central to how work and you have invested heavily in your data pipeline, your Machine Learning and your insight capabilities.
  
  

• Evaluate AI Planning: about it and learning solutions IT development center Product Engineering services digital services Cloud Services application Managed Services Data Analytics and AI services learning services.
  
  

• Manage work with cutting edge technologies and collaborate with your AI Design and Optimization teams, participating in all phases of the Software Development Lifecycle.
  
  

• Provide engineering and technical leadership for Project Planning and implementation activities with internal and external teams as it relates to analytics, platform integration, digital ecosystem, AI and Machine Learning.
  
  

• Steer AI Planning: direct data and AI as an advise, influencer and consulting, leading Design Thinking, Strategic Roadmap, architectural vision and Thought Leadership.
  
  

• Ensure you overhaul; powered by AI and Advanced Analytics, your enterprise decision platform enables business leaders to solve problems in new ways and make smarter decisions faster as thE Business and operating models change.
  
  

• Ensure you direct; lead the Design And Delivery of Data/ Business Intelligence/ AI and automation solutions advisory engagements involving strategy, roadmap and longer term CoE models (Operating models).
  
  

• Guide AI Planning: how csp should build out portfolios with Data Analytics / AI solutions that integrate with 5g, IoT and Edge Computing.
  
  

• Be an advocate for and help to identify new Machine Learning and AI product opportunities for thE Business.
  
  

• Organize AI Planning: direct data and AI as an advise, influencer and consulting, leading Design Thinking, Strategic Roadmap, architectural vision and Thought Leadership.
  
  

• Interact directly with security professionals who use your software and AI systems on a daily basis to increase effectiveness and the quality of work.
  
  

• Formulate AI Planning: robotic Process Automation virtual worker process builds, script generation utilizing AI Tool Sets.
  
  

• Assure your organization addresses aspects as Data Privacy and security, data ingestion and processing, Data Storage and compute, analytical and operational consumption, Data Modeling, Data Virtualization, Self Service data preparation and analytics, AI enablement, and API integrations.
  
  

• Formulate AI Planning: Big Data, analytics, AI and Data Science, development and integration.
  
  

• Guide AI Planning: Risk Assessments, cloud workgroup meetings, Contract Negotiation, develop standards and policy related to cloud, Machine Learning, AI and Big Data.
  
  

• Head AI Planning: data, analytics and AI are central to how work and you have invested heavily in your data pipeline, your Machine Learning and your insight capabilities.
  
  

• Ensure you support; lead end to end Quality engineering competency for Service Now AI organization.
  
  

• Ensure you launch; build long term vision and strategy for the future of AI Integrity technologies for reducing harm and problems on Social Media Platforms.
  
  

• Enable the creation of more resilient supply chains using AI technology embedded into operational systems.
  
  

• Ensure you listen; embedded Image Processing, computer/machine vision, and/or AI platforms and/or Application Development.
  
  

• Confirm your planning performs POC (Proof of Concept) assessment evaluations on new products.
  
  

• Secure that your project understands and augments the Solution Architecture and design to address integrations being applied across businesses, applications, technologies and services.
  
  




 



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



STEP 1: Get your bearings



Start with...




• The latest quick edition of the AI Planning 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 999 new and updated case-based questions, organized into seven core areas of Process Design, this Self-Assessment will help you identify areas in which AI Planning improvements can be made.



Examples; 10 of the 999 standard requirements:




1. What could cause you to change course?
   
   

2. What is the AI Planning Driver?
   
   

3. What relevant entities could be measured?
   
   

4. How do you engage the workforce, in addition to satisfying them?
   
   

5. What measurements are being captured?
   
   

6. What drives O&M cost?
   
   

7. Are there any activities that you can take off your to do list?
   
   

8. What is the AI Planning business impact?
   
   

9. How do senior leaders deploy your organizations vision and values through your leadership system, to the workforce, to key suppliers and partners, and to customers and other stakeholders, as appropriate?
   
   

10. How do you assess your AI Planning workforce capability and capacity needs, including skills, competencies, and staffing levels?
    
    




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 AI Planning book in PDF containing 994 requirements, which criteria correspond to the criteria in...




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




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




Examples; 10 of the check box criteria:




1. Cost Management Plan: Eac -estimate at completion, what is the total job expected to cost?
   
   

2. Activity Cost Estimates: In which phase of the Acquisition Process cycle does source qualifications reside?
   
   

3. Project Scope Statement: Will all AI Planning project issues be unconditionally tracked through the Issue Resolution process?
   
   

4. Closing Process Group: Did the AI Planning Project Team have enough people to execute the AI Planning Project Plan?
   
   

5. Source Selection Criteria: What are the guidelines regarding award without considerations?
   
   

6. Scope Management Plan: Are Corrective Actions taken when actual results are substantially different from detailed AI Planning Project Plan (variances)?
   
   

7. Initiating Process Group: During which stage of Risk planning are risks prioritized based on probability and impact?
   
   

8. Cost Management Plan: Is your organization certified as a supplier, wholesaler, regular dealer, or manufacturer of corresponding products/supplies?
   
   

9. Procurement Audit: Was a formal review of tenders received undertaken?
   
   

10. Activity Cost Estimates: What procedures are put in place regarding bidding and cost comparisons, if any?




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



1.0 Initiating Process Group:




• 1.1 AI Planning project Charter

• 1.2 Stakeholder Register

• 1.3 Stakeholder Analysis Matrix




2.0 Planning Process Group:




• 2.1 AI Planning Project Management Plan

• 2.2 Scope Management Plan

• 2.3 Requirements Management Plan

• 2.4 Requirements Documentation

• 2.5 Requirements Traceability Matrix

• 2.6 AI Planning 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 AI Planning 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 AI Planning 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 AI Planning 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 AI Planning project with this in-depth AI Planning Toolkit.



In using the Toolkit you will be better able to:




• Diagnose AI Planning 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 AI Planning 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 AI Planning investments work better.



This AI Planning 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.