Head AI Services: half of your organization is dedicated to providing IT project consulting and the other half dedicated to providing IT Managed Services.



More Uses of the AI Services Toolkit:




• Evaluate AI Services: 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.
  
  

• Devise AI Services: 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.
  
  

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

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

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

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

• Methodize AI Services: 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.
  
  

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

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

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

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

• 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.
  
  

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

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

• 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.
  
  

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

• Devise AI Services: Software Engineering Management, AI compiler.
  
  

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

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

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

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

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

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

• 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.
  
  

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

• 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.
  
  

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

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

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

• Be accountable for implementing Jenkins workflow and plugins for repeatable deployments of multi tier applications, artifacts and services to Docker and Red Hat.
  
  

• Drive AI Services: review, oversee and/or perform all tasks necessary to assure system and application projects are developed, tested, assured of quality, and implemented in accordance with generally accepted Best Practices.
  
  




 



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



STEP 1: Get your bearings



Start with...




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



Examples; 10 of the 999 standard requirements:




1. Is there a clear AI Services case definition?
   
   

2. What do you measure and why?
   
   

3. Who uses your product in ways you never expected?
   
   

4. Has your scope been defined?
   
   

5. What is the AI Services Driver?
   
   

6. Why do you expend time and effort to implement measurement, for whom?
   
   

7. Do you have an issue in getting priority?
   
   

8. What are customers monitoring?
   
   

9. Who will be in control?
   
   

10. What users will be impacted?
    
    




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




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




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

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



1.0 Initiating Process Group:




• 1.1 AI Services project Charter

• 1.2 Stakeholder Register

• 1.3 Stakeholder Analysis Matrix




2.0 Planning Process Group:




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



In using the Toolkit you will be better able to:




• Diagnose AI Services 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 Services 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 Services investments work better.



This AI Services 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.