Guide AI Platform: completion of high organization or higher education level is mandatory.



More Uses of the AI Platform Toolkit:




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

• Devise AI Platform: 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 Platform: 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.
  
  

• 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.
  
  

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

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

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

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

• Evaluate AI Platform: 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.
  
  

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

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

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

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

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

• Develop, influence, and execute the AI Strategy at the Imaging portfolio level in partnership with the segments.
  
  

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

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

• 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.
  
  

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

• 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.
  
  

• Devise AI Platform: Software Engineering management, AI compiler.
  
  

• 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.
  
  

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

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

• Evaluate AI Platform: AI Algorithms Engineering Management.
  
  

• 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.
  
  

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

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

• Functional ownership in Finance Technology, specifically leading the implementation of Financial and Regulatory reporting functions onto the Corporate Technology Data Lake and leveraging Platform Services / Finance as a Service to perform Data Management.
  
  

• Orchestrate AI Platform: ultimately, solution consultants work the sales directors to drive successful conversion of prospects to customers while engaging with existing customers to expand the relationships and maintain a current perspective of industry issues, trends, and solutions.
  
  




 



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



STEP 1: Get your bearings



Start with...




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



Examples; 10 of the 999 standard requirements:




1. How do you catch AI Platform definition inconsistencies?
   
   

2. What is something you believe that nearly no one agrees with you on?
   
   

3. Are the units of measure consistent?
   
   

4. How can you improve performance?
   
   

5. What is the definition of success?
   
   

6. Is there any additional AI Platform definition of success?
   
   

7. What counts that you are not counting?
   
   

8. What are customers monitoring?
   
   

9. How much data can be collected in the given timeframe?
   
   

10. Who will be responsible for making the decisions to include or exclude requested changes once AI Platform is underway?
    
    




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




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




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

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



1.0 Initiating Process Group:




• 1.1 AI Platform project Charter

• 1.2 Stakeholder Register

• 1.3 Stakeholder Analysis Matrix




2.0 Planning Process Group:




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



In using the Toolkit you will be better able to:




• Diagnose AI Platform 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 Platform 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 Platform investments work better.



This AI Platform 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.