Machine Capability and Mainframe Modernization Kit (Publication Date: 2024/04)

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Discover Insights, Make Informed Decisions, and Stay Ahead of the Curve:



  • How do you develop a culture that embraces Human Machine workplaces in order for the technology to amplify legacy system capability and augment human capability?


  • Key Features:


    • Comprehensive set of 1547 prioritized Machine Capability requirements.
    • Extensive coverage of 217 Machine Capability topic scopes.
    • In-depth analysis of 217 Machine Capability step-by-step solutions, benefits, BHAGs.
    • Detailed examination of 217 Machine Capability case studies and use cases.

    • Digital download upon purchase.
    • Enjoy lifetime document updates included with your purchase.
    • Benefit from a fully editable and customizable Excel format.
    • Trusted and utilized by over 10,000 organizations.

    • Covering: Compliance Management, Code Analysis, Data Virtualization, Mission Fulfillment, Future Applications, Gesture Control, Strategic shifts, Continuous Delivery, Data Transformation, Data Cleansing Training, Adaptable Technology, Legacy Systems, Legacy Data, Network Modernization, Digital Legacy, Infrastructure As Service, Modern money, ISO 12207, Market Entry Barriers, Data Archiving Strategy, Modern Tech Systems, Transitioning Systems, Dealing With Complexity, Sensor integration, Disaster Recovery, Shopper Marketing, Enterprise Modernization, Mainframe Monitoring, Technology Adoption, Replaced Components, Hyperconverged Infrastructure, Persistent Systems, Mobile Integration, API Reporting, Evaluating Alternatives, Time Estimates, Data Importing, Operational Excellence Strategy, Blockchain Integration, Digital Transformation in Organizations, Mainframe As Service, Machine Capability, User Training, Cost Per Conversion, Holistic Management, Modern Adoption, HRIS Benefits, Real Time Processing, Legacy System Replacement, Legacy SIEM, Risk Remediation Plan, Legacy System Risks, Zero Trust, Data generation, User Experience, Legacy Software, Backup And Recovery, Mainframe Strategy, Integration With CRM, API Management, Mainframe Service Virtualization, Management Systems, Change Management, Emerging Technologies, Test Environment, App Server, Master Data Management, Expert Systems, Cloud Integration, Microservices Architecture, Foreign Global Trade Compliance, Carbon Footprint, Automated Cleansing, Data Archiving, Supplier Quality Vendor Issues, Application Development, Governance And Compliance, ERP Automation, Stories Feature, Sea Based Systems, Adaptive Computing, Legacy Code Maintenance, Smart Grid Solutions, Unstable System, Legacy System, Blockchain Technology, Road Maintenance, Low-Latency Network, Design Culture, Integration Techniques, High Availability, Legacy Technology, Archiving Policies, Open Source Tools, Mainframe Integration, Cost Reduction, Business Process Outsourcing, Technological Disruption, Service Oriented Architecture, Cybersecurity Measures, Mainframe Migration, Online Invoicing, Coordinate Systems, Collaboration In The Cloud, Real Time Insights, Legacy System Integration, Obsolesence, IT Managed Services, Retired Systems, Disruptive Technologies, Future Technology, Business Process Redesign, Procurement Process, Loss Of Integrity, ERP Legacy Software, Changeover Time, Data Center Modernization, Recovery Procedures, Machine Learning, Robust Strategies, Integration Testing, Organizational Mandate, Procurement Strategy, Data Preservation Policies, Application Decommissioning, HRIS Vendors, Stakeholder Trust, Legacy System Migration, Support Response Time, Phasing Out, Budget Relationships, Data Warehouse Migration, Downtime Cost, Working With Constraints, Database Modernization, PPM Process, Technology Strategies, Rapid Prototyping, Order Consolidation, Legacy Content Migration, GDPR, Operational Requirements, Software Applications, Agile Contracts, Interdisciplinary, Mainframe To Cloud, Financial Reporting, Application Portability, Performance Monitoring, Information Systems Audit, Application Refactoring, Legacy System Modernization, Trade Restrictions, Mobility as a Service, Cloud Migration Strategy, Integration And Interoperability, Mainframe Scalability, Data Virtualization Solutions, Data Analytics, Data Security, Innovative Features, DevOps For Mainframe, Data Governance, ERP Legacy Systems, Integration Planning, Risk Systems, Mainframe Disaster Recovery, Rollout Strategy, Mainframe Cloud Computing, ISO 22313, CMMi Level 3, Mainframe Risk Management, Cloud Native Development, Foreign Market Entry, AI System, Mainframe Modernization, IT Environment, Modern Language, Return on Investment, Boosting Performance, Data Migration, RF Scanners, Outdated Applications, AI Technologies, Integration with Legacy Systems, Workload Optimization, Release Roadmap, Systems Review, Artificial Intelligence, IT Staffing, Process Automation, User Acceptance Testing, Platform Modernization, Legacy Hardware, Network density, Platform As Service, Strategic Directions, Software Backups, Adaptive Content, Regulatory Frameworks, Integration Legacy Systems, IT Systems, Service Decommissioning, System Utilities, Legacy Building, Infrastructure Transformation, SharePoint Integration, Legacy Modernization, Legacy Applications, Legacy System Support, Deliberate Change, Mainframe User Management, Public Cloud Migration, Modernization Assessment, Hybrid Cloud, Project Life Cycle Phases, Agile Development




    Machine Capability Assessment Dataset - Utilization, Solutions, Advantages, BHAG (Big Hairy Audacious Goal):


    Machine Capability


    Develop a culture that values collaboration, continuous learning, and adaptability to integrate technology and enhance human performance in the workplace.


    1. Training and education programs: Provide employees with workshops and courses on the benefits and use of modern technology. This will help them understand the value and adapt to change.

    2. Encouraging collaboration: Foster a culture of teamwork and collaboration between humans and machines. This will allow for a seamless integration of technology and human capabilities.

    3. Emphasizing the value of human input: Ensure that employees understand the importance of their role in the modernization process and how their expertise adds value to the technology.

    4. Gamification: Use gamification techniques to make learning and embracing new technology more engaging and fun for employees.

    5. Incentives and rewards: Offer incentives and rewards for employees who actively embrace and utilize new technologies in their work.

    6. Continuous learning and development: Provide ongoing training and development opportunities to keep employees updated on new technologies and their applications.

    7. Change management strategies: Implement effective change management strategies to help employees adapt to new technologies and embrace the changes in their workplace.

    8. Clear communication and transparency: Communicate openly and transparently with employees about the modernization process and how it will benefit both the company and its employees.

    9. Celebrate successes: Recognize and celebrate milestones and successes achieved through the use of modern technology, showcasing the benefits and encouraging continued adoption.

    10. Top-down support: Ensure that top-level executives are fully committed to the modernization process and lead by example in embracing human-machine collaboration.

    CONTROL QUESTION: How do you develop a culture that embraces Human Machine workplaces in order for the technology to amplify legacy system capability and augment human capability?


    Big Hairy Audacious Goal (BHAG) for 10 years from now:
    In 10 years, my big hairy audacious goal for Machine Capability is to have successfully developed a culture that fully embraces Human-Machine workplaces. This culture will be focused on harnessing the power of technology to amplify legacy system capability, while also augmenting the capability of humans in the workplace.

    To achieve this goal, I envision a future where businesses and organizations have fully integrated advanced technological systems into their operations, with a strong emphasis on collaboration between humans and machines. This means creating a work environment where machines are seen as valuable partners, rather than replacements for human employees.

    One key aspect of this culture shift will be an increased focus on education and training. As technology continues to evolve at a rapid pace, it will be essential for employees at all levels to have a solid understanding of how to effectively utilize and work alongside machines. This will involve implementing comprehensive training programs and promoting continuous learning to ensure that employees are able to adapt to new technologies and workflows.

    In addition, fostering a culture of open communication and transparency will be crucial in establishing trust between human workers and machines. This will involve creating opportunities for both parties to provide feedback and suggestions for improvement, as well as encouraging a mindset of experimentation and exploration. This will allow for a constant exchange of ideas and innovation, leading to further advancements in machine capability and human-machine collaboration.

    To truly embrace Human-Machine workplaces, it will also be important to address any concerns or fears surrounding the integration of technology into the workforce. This can be achieved through effective communication and education, as well as implementing safeguards and protocols to ensure the ethical and responsible use of technology.

    Ultimately, my goal is to see a future where humans and machines work together seamlessly and harmoniously, with each side leveraging their unique strengths and capabilities to drive innovation and success. By developing a culture that fully embraces Human-Machine collaboration, we can unlock the full potential of technology and foster a more efficient, productive, and fulfilling work environment for all.

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    Machine Capability Case Study/Use Case example - How to use:


    Case Study: Developing a Culture of Human-Machine Collaboration to Enhance Legacy System Capability and Augment Human Capability

    Synopsis:
    ABC Corporation is a leading manufacturing company that has been in the business for over five decades. The company has built a strong reputation for producing high-quality products and has a loyal customer base. However, with the changing market trends and increased competition, ABC Corporation realized that it needed to transform its operations to stay relevant and competitive.

    As part of its transformation strategy, the company decided to invest in technology and implement advanced machines and digital systems in its production processes. The aim was to enhance the capability of its legacy systems and augment human capabilities to improve overall efficiency and productivity. However, the management realized that the success of this transformation would depend not only on implementing new technology but also creating a culture that embraces human-machine collaboration.

    The consulting team was hired to help ABC Corporation develop a culture that promotes and supports human-machine collaboration in the workplace. The key objective was to ensure that the technology investments made by the company were optimized and not hindered by traditional attitudes towards human-machine collaboration.

    Consulting Methodology:
    To develop a culture that embraces human-machine workplaces, the consulting team followed a three-phase approach.

    Phase 1: Research and Analysis- The first phase involved conducting extensive research to understand the current culture at ABC Corporation, employee attitudes towards technology, and challenges faced in implementing a human-machine collaborative environment. This phase also involved benchmarking with other companies that have successfully implemented human-machine collaboration.

    Phase 2: Development of Strategy and Framework- Based on the findings from the research, the consulting team developed a comprehensive strategy and framework for building a culture of human-machine collaboration. This included identifying key drivers, defining roles and responsibilities, and establishing guidelines for effective collaboration between humans and machines.

    Phase 3: Implementation and Training- The final phase involved implementing the strategy and framework developed in the previous phase. This included conducting training programs for employees at all levels to help them understand the importance of human-machine collaboration and how to effectively work in a technology-driven environment.

    Deliverables:
    1. Research report highlighting the current culture and challenges at ABC Corporation.
    2. Strategy and framework document outlining the key drivers for human-machine collaboration.
    3. Training modules and materials for employees.
    4. Progress reports throughout the implementation phase.

    Implementation Challenges:
    The consulting team faced several challenges during the implementation phase. One of the significant challenges was resistance from employees towards working with new technology. Many employees were skeptical about losing their jobs to machines, which impacted their willingness to embrace human-machine collaboration.

    Another challenge was the lack of technical knowledge among some employees, making it difficult for them to adapt to the new technology. This required additional training and support to help employees feel confident and comfortable working with the machines.

    KPIs:
    1. Employee satisfaction and engagement levels.
    2. Increase in employee productivity and efficiency.
    3. Reduction in errors and defects in production processes.
    4. Implementation of new technologies and successful integration with legacy systems.
    5. Increase in revenue and decrease in costs.

    Management Considerations:
    To ensure the success and sustainability of the human-machine collaborative culture, ABC Corporation needs to consider the following management considerations:

    1. Inclusion and involvement of employees in the transformation process, to build trust and overcome resistance.
    2. Regular reviews and assessments of the progress made and addressing any challenges faced.
    3. Providing necessary training and resources to employees to enhance their skills and knowledge.
    4. Encouraging open communication and feedback between employees and management to address any concerns or issues.
    5. Continuous monitoring and evaluation of KPIs to measure the impact of the new culture on business performance.

    Citations:
    1. Collaborative Human Machine Learning: How Can Data Scientists Work More Effectively with Automation? by PwC Digital Accelerators (2017).
    2

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