Govern AI Investments: review data from the Quality Management system to track performance at team and individual level to provide actionable data to the management team.



More Uses of the AI Investments Toolkit:




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

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

• Head AI Investments: 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.
  
  

• Devise AI Investments: 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.
  
  

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

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

• Ensure you keep on top of new developments in enablement tools and AI based Content Management Systems, like serving up content proactively in the context of a deal and auto tagging.
  
  

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

• 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.
  
  

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

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

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

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

• Systematize AI Investments: 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 Scientists to understand requirements and build an efficient Stream Processing system that enables advanced AI based analytics.
  
  

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

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

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

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

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

• Establish AI Investments: by applying AI and Data Science, you help leading companies to prototype, refine, validate, and scale AI and analytics products and delivery models.
  
  

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

• 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.
  
  

• Generate high quality research on the competitive environment, Conversational AI Industry Trends, peer benchmarks, Emerging Technologies and potential partnerships.
  
  

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

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

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

• 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.
  
  

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

• Provide analytical support to sales teams around cost and investments to make the right economic and growth oriented decisions for thE Business.
  
  

• Be accountable for depending on focus, maintain and enhance existing functionality by working with internal and external users to develop new features or install new versions of vendor software and perform unit, system, and integrated tests.
  
  




 



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



STEP 1: Get your bearings



Start with...




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



Examples; 10 of the 999 standard requirements:




1. How do your controls stack up?
   
   

2. Was a AI Investments charter developed?
   
   

3. Has your scope been defined?
   
   

4. What is your AI Investments quality Cost segregation study?
   
   

5. Think about some of the processes you undertake within your organization, which do you own?
   
   

6. How do mission and objectives affect the AI Investments processes of your organization?
   
   

7. Who is responsible for ensuring appropriate resources (time, people and money) are allocated to AI Investments?
   
   

8. Are there competing AI Investments priorities?
   
   

9. Who has control over resources?
   
   

10. How do you foster the skills, knowledge, talents, attributes, and characteristics you want to have?
    
    




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




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




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

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



1.0 Initiating Process Group:




• 1.1 AI Investments project Charter

• 1.2 Stakeholder Register

• 1.3 Stakeholder Analysis Matrix




2.0 Planning Process Group:




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



In using the Toolkit you will be better able to:




• Diagnose AI Investments 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 Investments 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 Investments investments work better.



This AI Investments 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.