Systematize Cloud AI: design, build, manage and operate the Infrastructure As A Service layer (hosted and cloud based platforms) that supports the different platform services.



More Uses of the Cloud AI Toolkit:




• Bring system level thinking to develop comprehensive solutions that span, instrument, edge, and Cloud Applications.
  
  

• Methodize Cloud AI: SinglE Sign On (SSO) integration and Session Management for multiple web and Cloud Applications.
  
  

• Warrant that your group complies; as trusted customer advocates, the team helps organizations understand Best Practices around advanced Cloud Based Solutions, how to migrate and/or re develop existing workloads to the cloud.
  
  

• Ensure you consider; leAd Cloud software Ui Development engineering.
  
  

• Govern Cloud AI: container orchestration (Kubernetes, Cloud Foundry).
  
  

• Pilot Cloud AI: research Security Controls, vulnerabilities or interoperability issues, enterprise and cloud risks, and provide guidance to IT teams on effective mitigation strategies and controls.
  
  

• Ensure you delegate; lead with expertise in SaaS architectures, Cloud Security, Public Clouds and Networking Infrastructure.
  
  

• Manage work with the Cloud Professional Services group to support virtual connections to various Virtual Private Cloud (VPC) from the Data Centers.
  
  

• Be accountable for managing Infrastructure Resources in Cloud Architecture with close coordination with various functional teams.
  
  

• Evaluate Cloud AI: work closely with enterprise architects to identify and mitigate risks, perform security review, design top tier security practices, and deliver strategic, innovative cloud based security offerings.
  
  

• Manage work with Infrastructure Services and Application Development organizations to choose appropriate Cloud Security technology solutions.
  
  

• Ensure your customers trust your judgment to help them solve most pressing business problems and to support them in journey to the cloud and to become a digital enterprise.
  
  

• Organize Cloud AI: design, develop, and maintain tools, services, and reusable modules and framework to automate provisioning of Cloud Infrastructure.
  
  

• Follow Industry Trends for Cloud Computing.
  
  

• Secure that your planning complies; coms sales cloud and service cloud.
  
  

• Oversee Cloud AI: Data Analytics and Cloud Application engineering.
  
  

• Be certain that your corporation complies; Kubernetes, Cloud Foundry etc.
  
  

• Manage system wide Email Marketing using Salesforce Marketing Cloud design, code, build, test, and deploy email campaigns.
  
  

• Devise Cloud AI: work closely with the Cloud Engineering and architecture teams and the broader IT Organization supporting day to day operational incident, change, and Problem Management cases.
  
  

• Steer Cloud AI: account and customer Relationship Management, sales and software license and cloud subscription revenue.
  
  

• Manage your lob (Line Of Business) users, collaborate with other Technology Teams to design, develop, test Full Stack cloud data solutions.
  
  

• Make sure that your organization champions cloud first and cloud next strategies providing a vision for thE Business on leveraging modern, Public Cloud architectures to drive performance, cost, agility, and Customer Delight in positive directions.
  
  

• Support initiatives to secure Cloud Solutions by specifying methodologies; implementation and calibration; preparing preventive, detective, and reactive security measures, and support documentation.
  
  

• Formulate Cloud AI: review develop Best Practices and assets based on learnings from customer engagements to support initiatives to scale through partners and accelerate Cloud Adoption.
  
  

• Pilot Cloud AI: visible IT industry Thought Leadership on relevant topics related to cloud based enterprise it and end to end Digital Transformation in the consumer packaged goods/retail industry.
  
  

• Oversee and coordinate multiple teams of Technical Engineering resources to perform migration and cloud tasks.
  
  

• Hire support multi factor authentication process, and partner with the Active Directory team to support Cloud initiatives, Azure Active Directory, and O365.
  
  

• Confirm you champion; leAd Cloud business operational management ensure an effective and consistent leAd Cloud business operating rhythm is communicated, deployed, and adopted throughout the team.
  
  

• Be accountable for measuring adherence, risks and growing effective partnerships with peer teams and stakeholders to drive secure design, implementation and orchestration of complex, multi product security solutions for enterprise cloud systems.
  
  

• Manage work with security team to develop policies and processes for Cloud App security and handling O365 account alerts, DLP policies, and multifactor authentication.
  
  

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

• Establish that your project complies; directs the delivery of the ERM strategy evaluating and continually improving the effectiveness of Risk Management and control, to support your organization in achieving your organizations Strategic Objectives by bringing a systematic approach.
  
  




 



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



STEP 1: Get your bearings



Start with...




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



Examples; 10 of the 999 standard requirements:




1. What is the definition of success?
   
   

2. Should you invest in industry-recognized qualifications?
   
   

3. Who gets your output?
   
   

4. Is the work to date meeting requirements?
   
   

5. What role does communication play in the success or failure of a Cloud AI project?
   
   

6. Do Quality Systems drive continuous improvement?
   
   

7. Are approval levels defined for contracts and supplements to contracts?
   
   

8. Are you changing as fast as the world around you?
   
   

9. Which functions and people interact with the supplier and or customer?
   
   

10. Do you have any cost Cloud AI limitation requirements?
    
    




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




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




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

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



1.0 Initiating Process Group:




• 1.1 Cloud AI project Charter

• 1.2 Stakeholder Register

• 1.3 Stakeholder Analysis Matrix




2.0 Planning Process Group:




• 2.1 Cloud AI Project Management Plan

• 2.2 Scope Management Plan

• 2.3 Requirements Management Plan

• 2.4 Requirements Documentation

• 2.5 Requirements Traceability Matrix

• 2.6 Cloud AI 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 Cloud AI 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 Cloud AI 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 Cloud AI 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 Cloud AI project with this in-depth Cloud AI Toolkit.



In using the Toolkit you will be better able to:




• Diagnose Cloud AI 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 Cloud AI 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 Cloud AI Investments work better.



This Cloud AI 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.