Save time, empower your teams and effectively upgrade your processes with access to this practical Algorithmic Decision-making Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Algorithmic Decision-making 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 Algorithmic Decision-making specific requirements:
STEP 1: Get your bearings
Start with...
- The latest quick edition of the Algorithmic Decision-making 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 998 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Algorithmic Decision-making improvements can be made.
Examples; 10 of the 998 standard requirements:
- When saas services include AI and thus incur the discrimination risks associated with algorithmic decisionmaking, what human rights based approaches can be used to address adverse impacts?
- What common features should be used to cover a social engineering scenario from the perspectives of all stakeholders, at the individual and organizational level?
- What is the performance of vulnerability prediction models trained using a release based approach when compared to models trained using cross validation?
- How would you handle a situation where a customer raises concerns about privacy when it comes to data collection and personalized recommendations?
- How might the increase in data generated, collected, stored, and used by connected sectors create new privacy concerns/impacts to human rights?
- How might the increase in data generated, collected, stored, and used by associated technologies create new privacy and human rights concerns?
- Is the models accuracy better than a baseline that only uses historical correlations between demographic factors and the target variable?
- Which actions is an appropriate response by organizations wishing to improve the publics perception of the financial reporting?
- How might you reduce environmental costs through methods like transfer learning to avoid training from scratch?
- Is the cyber risk management plan documented, including the identification, protection and disposal of data?
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 Algorithmic Decision-making book in PDF containing 998 requirements, which criteria correspond to the criteria in...
Your Algorithmic Decision-making 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 Algorithmic Decision-making Self-Assessment and Scorecard you will develop a clear picture of which Algorithmic Decision-making 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 Algorithmic Decision-making 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 Algorithmic Decision-making projects with the 62 implementation resources:
- 62 step-by-step Algorithmic Decision-making Project Management Form Templates covering over 1500 Algorithmic Decision-making project requirements and success criteria:
Examples; 10 of the check box criteria:
- Quality Management Plan: What process do you use to minimize errors, defects, and rework?
- Assumption and Constraint Log: Have the scope, objectives, costs, benefits and impacts been communicated to all involved and/or impacted stakeholders and work groups?
- Risk Data Sheet: What do people affected think about the need for, and practicality of preventive measures?
- Activity Duration Estimates: Are operational definitions created to identify quality measurement criteria for specific activities?
- Procurement Management Plan: Is there an on-going process in place to monitor Algorithmic Decision-making project risks?
- Procurement Audit: Are there any complaints of the suppliers and/or end-users?
- Earned Value Status: Where is evidence-based earned value in your organization reported?
- Stakeholder Management Plan: Is there general agreement & acceptance of the current status and progress of the Algorithmic Decision-making project?
- Procurement Audit: Does each policy statement contain the legal reference(s) on which the policy is based?
- Scope Management Plan: Are updated Algorithmic Decision-making project time & resource estimates reasonable based on the current Algorithmic Decision-making project stage?
Step-by-step and complete Algorithmic Decision-making Project Management Forms and Templates including check box criteria and templates.
1.0 Initiating Process Group:
- 1.1 Algorithmic Decision-making project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Algorithmic Decision-making project Management Plan
- 2.2 Scope Management Plan
- 2.3 Requirements Management Plan
- 2.4 Requirements Documentation
- 2.5 Requirements Traceability Matrix
- 2.6 Algorithmic Decision-making 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 Algorithmic Decision-making 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 Algorithmic Decision-making 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 Algorithmic Decision-making 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 Algorithmic Decision-making project with this in-depth Algorithmic Decision-making Toolkit.
In using the Toolkit you will be better able to:
- Diagnose Algorithmic Decision-making 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 Algorithmic Decision-making 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 Algorithmic Decision-making investments work better.
This Algorithmic Decision-making 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.
