AutoML Models Toolkit

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

STEP 1: Get your bearings

Start with...


• The latest quick edition of the AutoML Models 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 991 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which AutoML Models improvements can be made.

Examples; 10 of the 991 standard requirements:


1. Do you build a picture of what is going on in a competitive market by using Artificial Intelligence and machine learning techniques to automate the reading and classification of news?
   
   

2. Is your organization currently using or considering artificial intelligence (including machine learning and deep learning) to support your organizations initiatives?
   
   

3. How can organizations move at the speed of business, enable self service, better serve the customers, increase operational efficiency, and rapidly innovate?
   
   

4. What concerns do you have about the use of intelligent automation tools as robotics process automation, artificial intelligence and machine learning tools?
   
   

5. Is it in scope to consider streaming data or other types of problems with ever changing ground truth and/or practically infinite data?
   
   

6. What is the opportunity and why have others or yourself attempted to resolve it in the past and failed, what lead you to a solution?
   
   

7. Why are performance requirements different for data centric workloads, as AI, analytics, machine learning, deep learning and others?
   
   

8. Do you take advantage of predictive analytics and machine learning to improve business operations and better serve your customers?
   
   

9. Is automation, machine learning and/or Artificial Intelligence causing challenges or providing opportunities within the industry?
   
   

10. Do you build automated personalized marketing campaigns that harness the power of AI and machine learning to continuously evolve?
    
    


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 AutoML Models book in PDF containing 991 requirements, which criteria correspond to the criteria in...


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


• 62 step-by-step AutoML Models Project Management Form Templates covering over 1500 AutoML Models project requirements and success criteria:


Examples; 10 of the check box criteria:


1. Activity Duration Estimates: AutoML Models project has three critical paths. Which BEST describes how this affects the AutoML Models project?
   
   

2. Stakeholder Management Plan: What preventative action can be taken to reduce the likelihood a risk will be realised?
   
   

3. Procurement Audit: Who is verifying the performance of the contract and approving payments?
   
   

4. Schedule Management Plan: Perform reality checks on schedules – are all tasks included?
   
   

5. Procurement Audit: What are your procurement processes with contractors?
   
   

6. Scope Management Plan: Knowing the health of the AutoML Models project – What is the status?
   
   

7. Project Scope Statement: Are there completion/verification criteria defined for each task producing an output?
   
   

8. Activity Duration Estimates: AutoML Models project manager is using weighted average duration estimates to perform schedule network analysis. Which type of mathematical analysis is being used?
   
   

9. Probability and Impact Matrix: What is the culture of the market and your organization?
   
   

10. Network Diagram: If x is long, what would be the completion time if you break x into two parallel parts of y weeks and z weeks?


 
Step-by-step and complete AutoML Models Project Management Forms and Templates including check box criteria and templates.

1.0 Initiating Process Group:


• 1.1 AutoML Models project Charter

• 1.2 Stakeholder Register

• 1.3 Stakeholder Analysis Matrix


2.0 Planning Process Group:


• 2.1 AutoML Models project Management Plan

• 2.2 Scope Management Plan

• 2.3 Requirements Management Plan

• 2.4 Requirements Documentation

• 2.5 Requirements Traceability Matrix

• 2.6 AutoML Models 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 AutoML Models 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 AutoML Models 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 AutoML Models 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 AutoML Models project with this in-depth AutoML Models Toolkit.

In using the Toolkit you will be better able to:


• Diagnose AutoML Models 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 AutoML Models 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 AutoML Models investments work better.

This AutoML Models 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.