Methodize AI Foundation: test solid state circuitry to find defective parts in digital and analog equipment; replacing defective parts.



More Uses of the AI Foundation Toolkit:




• Develop strategic vision of your clients goals for the cloud, reducing cost, improving insights or analytics platforms or infrastructure, or innovation through technologies like AI and MachinE Learning.
  
  

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

• Head AI Foundation: 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.
  
  

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

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

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

• Bring to market AI powered Consulting Services that address use cases across predictive engagement, Self Service, orchestration and employee optimization.
  
  

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

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

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

• 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.
  
  

• 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.
  
  

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

• 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.
  
  

• 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.
  
  

• Lead AI Foundation: more recently, GPU Deep Learning ignited modern AI the next era of computing.
  
  

• Systematize AI Foundation: science teams to translate customer needs and AI outputs into impactful products.
  
  

• Systematize AI Foundation: 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.
  
  

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

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

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

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

• Systematize AI Foundation: work using powerful servers, AI Software, web resources, data feeds, and Proprietary Trading systems.
  
  

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

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

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

• 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 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.
  
  

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

• 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 oversee; lead the development of a digital future client video brief to highlight what is possible to merchandise success and set the foundation for a digital future; oversee development of the video.
  
  

• Manage AI Foundation: track and forecast internal and external trends, identify potential impacts and apply domain and industry knowledge to offering development and business line strategy.
  
  




 



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



STEP 1: Get your bearings



Start with...




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



Examples; 10 of the 999 standard requirements:




1. How difficult is it to qualify what AI Foundation ROI is?
   
   

2. Does the scope remain the same?
   
   

3. Is there an action plan in case of emergencies?
   
   

4. What are the AI Foundation business drivers?
   
   

5. What is your cost benefit analysis?
   
   

6. Do Quality Systems drive continuous improvement?
   
   

7. What is a feasible sequencing of reform initiatives over time?
   
   

8. What could cause you to change course?
   
   

9. What AI Foundation metrics are outputs of the process?
   
   

10. How will you measure your QA plan's effectiveness?
    
    




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




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




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

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



1.0 Initiating Process Group:




• 1.1 AI Foundation project Charter

• 1.2 Stakeholder Register

• 1.3 Stakeholder Analysis Matrix




2.0 Planning Process Group:




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



In using the Toolkit you will be better able to:




• Diagnose AI Foundation 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 Foundation 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 Foundation investments work better.



This AI Foundation 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.