AI Cloud Toolkit

AI Cloud Toolkit

$495.00
Availability:
Downloadable Resources, Instant Access
Adding to cart… The item has been added

Devise AI Cloud: Strategy And Operations lead, commerce.

More Uses of the AI Cloud Toolkit:

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

  • 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.

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

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

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

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

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

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

  • 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.

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

  • 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 launch; build long term vision and strategy for the future of AI Integrity technologies for reducing harm and problems on Social Media platforms.

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

  • 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.

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

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

  • Ensure you direct; lead the Design And Delivery of Data/ Business Intelligence/ AI and automation solutions advisory engagements involving strategy, roadmap and longer term CoE models (Operating models).

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

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

  • Systematize AI Cloud: data, analytics and AI are central to how work and you have invested heavily in your data pipeline, your Machine Learning and your insight capabilities.

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

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

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

  • Establish AI Cloud: by applying AI and Data Science, you help leading companies to prototype, refine, validate, and scale AI and analytics products and delivery models.

  • 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 pioneer; build with a robust suite of advanced data and AI tools, and draw on deep industry expertise to help Enterprises on journey to the cloud.

  • Head AI Cloud: data, analytics and AI are central to how work and you have invested heavily in your data pipeline, your Machine Learning and your insight capabilities.

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

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

  • Collaborate with internal Reinforcement Learning and Engineering teams to integrate the latest AI technology Best Practices.

  • Guide AI Cloud: design and deploy dynamically scalable, highly available, fault tolerant, and reliable applications on cloud platforms.

  • Manage advanced skills in the design, deployment, and evaluation of tools, frameworks, and patterns to build scalable data platforms.

 

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


STEP 1: Get your bearings

Start with...

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

Examples; 10 of the 999 standard requirements:

  1. Do staff have the necessary skills to collect, analyze, and report data?

  2. Is the cost worth the AI Cloud effort?

  3. The political context: who holds power?

  4. When should a process be art not science?

  5. Who qualifies to gain access to data?

  6. What evidence is there and what is measured?

  7. Do you say no to customers for no reason?

  8. How significant is the improvement in the eyes of the end user?

  9. Where do ideas that reach policy makers and planners as proposals for AI Cloud strengthening and reform actually originate?

  10. What are the costs?


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

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

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

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

1.0 Initiating Process Group:


2.0 Planning Process Group:


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

In using the Toolkit you will be better able to:

  • Diagnose AI Cloud 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 Cloud 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 Cloud investments work better.

This AI Cloud 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.

!