Augmented Humans and Future of Work, Preparing for the Automation Revolution Kit (Publication Date: 2024/03)

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



  • How will operating models change to have business functions support an integrated AI system?
  • How should different teams work together to ensure consistent messaging is delivered at an omnichannel level?
  • How should risks and gaps be mitigated with a successful change management plan as organizations transition into new operating model?


  • Key Features:


    • Comprehensive set of 1502 prioritized Augmented Humans requirements.
    • Extensive coverage of 107 Augmented Humans topic scopes.
    • In-depth analysis of 107 Augmented Humans step-by-step solutions, benefits, BHAGs.
    • Detailed examination of 107 Augmented Humans 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: Virtual Meetings, Work Life Balance, Emotional Intelligence, Robotic Automation, Machine Human Collaboration, Agile Work Environments, Telework Security, Collaborative Software, New Employee Onboarding, Flexible Work Arrangements, Growth Mindset Culture, Decentralized Decision Making, Workforce Demographics, Flexible Work Environments, Remote Communication, Flexible Work Hours, 3D Printing In Production, Informal Learning, Cloud Based Tools, Developing Human Skills, Human Machine Partnership, Career Path Planning, Employee Well Being, Workforce Well Being, Outsourcing Opportunities, Co Working Spaces, Skills Gap, Workplace Diversity, Remote Work Tools, Succession Planning, Augmented Workforce, Knowledge Sharing, Emerging Technologies, On The Job Learning, Collaborative Workspaces, Artificial Intelligence, Machine Ethics, On Demand Workforce, Hybrid Remote Work, Automation Trends, Quantum Computing, Telecommuting Options, Human Centered Design, Mobile Collaboration, Industrial IoT, Automated Processes, Resilience In The Workplace, Big Data Analytics, Integrating Automation, Data Driven Decision Making, Flexible Scheduling, Digital Transformation, Lifecycle Of Skills, Reskilling And Upskilling, Smart Technology, Smart Office Design, Human Augmentation, Emerging Job Opportunities, Augmented Humans, Alternative Work Arrangements, AI Advancements, Data Privacy, Human Robot Interaction, Project Based Work, Future Skillset, Gamification Of Work, Employee Engagement, On Demand Work, Global Workforce, Gen In The Workplace, Diversity And Inclusion, Millennial Workforce, Crowdsourcing Ideas, Hybrid Teams, Future Of Healthcare, Personalized Learning, Employee Retention Strategies, Innovation Culture, Gig Economy, Work Life Integration, Job Displacement, Innovative Training Methods, Workforce Analytics, Augmented Reality, Remote Workforce, Flexible Benefits, Cross Functional Teams, Predictive Analytics, Continuous Learning, Professional Development, Collaborative Robots, Mobile Workforce, Future Of Education, Creative Problem Solving, Outsourcing Innovation, Telework Solutions, Diversity Initiatives, Virtual Team Building, Intelligent Automation, Telecommuting Policies, Future Leadership, Workforce Mobility, Virtual Reality, Working Remotely, Cloud Based Collaboration, Remote Project Management, Cloud Based Workforce




    Augmented Humans Assessment Dataset - Utilization, Solutions, Advantages, BHAG (Big Hairy Audacious Goal):


    Augmented Humans


    Operating models will need to adapt to incorporate AI systems, with business functions working together to support their integration.


    1. Redesigning job roles to include tasks that require human judgement and creativity, while delegating repetitive tasks to AI systems. Benefits: Increased job satisfaction and productivity for humans, more efficient and accurate task completion.

    2. Training employees to work alongside AI systems and utilize advanced technology, rather than replacing them. Benefits: Upskilling and reskilling for future job opportunities in the automation industry, maintaining a balance between human and machine labor.

    3. Implementing flexible and agile business models that can quickly adapt to changes brought by automation. Benefits: Able to streamline processes and adapt to new technologies, staying competitive in a fast-paced market.

    4. Developing cross-functional teams with a mix of both human and AI members to encourage collaboration and innovation. Benefits: Harnessing the strengths of both humans and machines, leading to better decision-making and problem-solving.

    5. Emphasizing emotional intelligence and interpersonal skills in the hiring and training process to complement technical skills. Benefits: Fostering a more human-centered workplace, promoting strong teamwork and cohesion within teams.

    6. Providing opportunities for continuous learning and reskilling for employees to stay updated with technological advancements. Benefits: Sustaining a skilled and adaptable workforce, able to effectively integrate new technologies into business processes.

    7. Implementing ethical guidelines and regulations for the use of AI in the workplace to ensure fairness and prevent bias. Benefits: Building trust with employees and customers, avoiding potential ethical issues and negative impacts on society.

    CONTROL QUESTION: How will operating models change to have business functions support an integrated AI system?


    Big Hairy Audacious Goal (BHAG) for 10 years from now:

    In 10 years, the goal for Augmented Humans is to have businesses fully embrace and integrate artificial intelligence as a core part of their operating models. This means that all business functions, including marketing, finance, operations, and HR, will be designed and optimized to support and enhance a centralized AI system.

    The AI system will act as a digital brain, constantly learning and adapting to optimize processes and decision making throughout the organization. This will result in increased efficiency, productivity, and innovation, allowing businesses to stay ahead of the competition in a rapidly evolving market.

    One major change in the operating model will be the shift from hierarchy to networked structures. Instead of traditional departmental silos, cross-functional teams will work together with the AI system to achieve goals and solve problems. This will foster a culture of collaboration and continuous learning, enabling businesses to quickly adapt to changing market demands.

    Another key change will be the automation of routine and repetitive tasks, freeing up human capacity for higher-level thinking and creativity. This will lead to a more fulfilling and meaningful work experience for employees.

    Overall, this integrated AI system will transform business operations, allowing for faster and more accurate decision-making, enhanced customer experiences, and a more responsive and agile organization. The goal is for all business functions to seamlessly work together with AI to drive growth and success in the Augmented Human era.

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    Augmented Humans Case Study/Use Case example - How to use:



    Introduction:

    Augmented Humans is a technology company that specializes in creating innovative solutions to enhance human capabilities through the use of AI and other emerging technologies. The company has recently developed an integrated AI system, which they believe has the potential to revolutionize the way businesses operate and compete in the market. However, Augmented Humans is facing challenges in integrating this new system into their existing operating model and aligning business functions to support its implementation. This case study will explore how operating models can change to support an integrated AI system and the various factors that need to be considered for successful implementation.

    Client Situation:

    Augmented Humans has been successful in developing an integrated AI system that has the potential to disrupt traditional business models and increase efficiency in various industries. The system combines machine learning, natural language processing, and other AI technologies to automate tasks, improve decision making, and provide valuable insights for businesses. However, the company is facing challenges in integrating this new system into their current operating model. They are struggling to align their business functions, processes, and systems to work seamlessly with the integrated AI system.

    Consulting Methodology:

    To address the client′s situation, our consulting team used a combination of business research, industry analysis, and a co-creation approach. The first step was to conduct an in-depth analysis of the client′s current operating model and identify the key areas that need to be changed to support the integrated AI system. This was followed by a thorough review of the AI system, its capabilities, and how it could be integrated into the client′s existing processes. Next, we conducted workshops and interviews with key stakeholders from different business functions to understand their roles, responsibilities, and level of readiness to work with the AI system.

    Based on the information gathered, we developed a new operating model that was aligned with the integrated AI system and its capabilities. This included changes in processes, roles, and responsibilities of different business functions, and the implementation of new technologies to support the entire system. We also worked closely with the client′s IT team to ensure that the necessary infrastructure was in place to support the implementation.

    Deliverables:

    The consulting team delivered a comprehensive report outlining the changes needed in the client′s operating model to support the integrated AI system. This included a detailed description of the new operating model, key stakeholders′ roles and responsibilities, processes and systems integration plans, and recommendations for successful implementation.

    Implementation Challenges:

    The main challenge faced during the implementation of the new operating model was the resistance to change from the employees. Many were not familiar with AI and were skeptical about its capabilities. There was also a fear of job displacement, which led to some employees being resistant to the changes. To address this, the consulting team conducted training sessions to educate employees about AI and its potential impact on their roles. We also emphasized the importance of upskilling to work with the integrated AI system and provided support in this regard.

    KPIs:

    The success of the new operating model was measured by a set of KPIs. These included the level of automation achieved, the reduction in manual tasks, the efficiency of decision making, and the overall increase in productivity. Other important KPIs included employee satisfaction and adoption rate of the integrated AI system.

    Management Considerations:

    To effectively manage the change and ensure a smooth implementation of the new operating model, it was essential to have strong leadership and effective communication. The consulting team worked closely with the client′s management team to ensure that they were aligned with the changes and actively involved in the implementation process. Regular communication and updates were provided to all employees to keep them informed and engaged throughout the implementation.

    Conclusion:

    The integration of an AI system into a company′s operating model requires careful planning, collaboration, and effective change management. Augmented Humans successfully implemented the new operating model, and the integrated AI system has helped the company achieve higher levels of efficiency, accuracy, and productivity. The business functions are now aligned and working together towards the common goal of supporting the AI system. With continued investment in upskilling and supporting the employees throughout the change, Augmented Humans is set to stay ahead of the game in this fast-paced technological world.

    Citations:

    1. Accenture, How AI is Changing Business Operating Models, (2019). https://www.accenture.com/us-en/insights/artificial-intelligence/ai-business-operating-models

    2. IDC, IDC FutureScape: Worldwide IT Industry 2020 Predictions, (2019). https://www.idc.com/getdoc.jsp?containerId=US44586119

    3. Harvard Business Review, Leading Change: Why Transformation Efforts Fail? (2007). https://hbr.org/2007/01/leading-change-why-transformation-efforts-fail

    4. PwC, The Impact of AI on Business Operating Models, (2020). https://www.pwc.com/gx/en/services/consulting/pdf/impact-of-AI-on-business-operating-models.pdf

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