Coordinate AI Product: successfully influences diverse groups and teams in a complex, ambiguous, and Rapidly Changing Environment to deliver value added solutions.



More Uses of the AI Product Toolkit:




• Be an advocate for and help to identify new machinE Learning and AI Product opportunities for the business.
  
  

• Systematize AI Product: 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.
  
  

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

• 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.
  
  

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

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

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

• Initiate AI Product: not to mention fully automated from the start, providing the most advanced solution leveraging your AI machinE Learning technology.
  
  

• Establish continual improvements and Productivity Improvements through effective use of AI Ops and Ops Automation solutions and techniques.
  
  

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

• Lead AI Product: machinE Learning and AI (especially deep neural networks).
  
  

• 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).
  
  

• Manage advanced AI based systems that interact with users, deliver information and that intake action on the users behalf.
  
  

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

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

• Initiate AI Product: Risk Assessments, cloud workgroup meetings, Contract Negotiation, develop standards and policy related to cloud, machinE Learning, AI and Big Data.
  
  

• 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.
  
  

• Ensure you integrate; lead systems IT As A Service, Managed Services for servers, mainframe, storage as a service, leveraging analytics and AI in the Data Center.
  
  

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

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

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

• Ensure you pioneer; build with a robust suite of advanced data and AI tools, and draw on deep industry expertise to help Enterprises on journey to the cloud.
  
  

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

• Devise AI Product: software Engineering Management, AI compiler.
  
  

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

• Methodize AI Product: algorithmic complexity, Deep Learning Performance Analysis and profiling, Distributed Computing, ai accelerators, gpus.
  
  

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

• Head AI Product: 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.
  
  

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

• Collaborate with Data Scientists to understand requirements and build an efficient Stream Processing system that enables advanced AI based analytics.
  
  

• Pilot AI Product: breadth to work cross functionally with privacy, safety, service, manufacturing, software, and Product Teams to resolve system level security issues.
  
  

• Manage work with Data Analytics/science resources to analyze multiple sources of data to inform decisions and improve platform changes and overall operations.
  
  




 



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



STEP 1: Get your bearings



Start with...




• The latest quick edition of the AI Product 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 Product improvements can be made.



Examples; 10 of the 999 standard requirements:




1. Are the risks fully understood, reasonable and manageable?
   
   

2. How do you know that any AI Product analysis is complete and comprehensive?
   
   

3. How do you cross-sell and up-sell your AI Product success?
   
   

4. What AI Product metrics are outputs of the process?
   
   

5. Are all team members qualified for all tasks?
   
   

6. Has an output goal been set?
   
   

7. What did you miss in the interview for the worst hire you ever made?
   
   

8. Are you paying enough attention to the partners your company depends on to succeed?
   
   

9. How will you recognize and celebrate results?
   
   

10. Is there any way to speed up the process?
    
    




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




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




• 62 step-by-step AI Product Project Management Form Templates covering over 1500 AI Product 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 Product project issues be unconditionally tracked through the Issue Resolution process?
   
   

4. Closing Process Group: Did the AI Product Project Team have enough people to execute the AI Product 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 Product 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 Product Project Management Forms and Templates including check box criteria and templates.



1.0 Initiating Process Group:




• 1.1 AI Product project Charter

• 1.2 Stakeholder Register

• 1.3 Stakeholder Analysis Matrix




2.0 Planning Process Group:




• 2.1 AI Product 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 Product 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 Product 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 Product 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 Product 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 Product project with this in-depth AI Product Toolkit.



In using the Toolkit you will be better able to:




• Diagnose AI Product 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 Product 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 Product investments work better.



This AI Product 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.