Attention all professionals and businesses looking to improve their workflows and adopt agile methodologies!
Are you tired of constantly searching for the most important questions to ask in order to get results by urgency and scope? Look no further, because our Adaptive Workflows and Agile Methodologies Knowledge Base has got you covered!
Our comprehensive dataset includes 1568 prioritized requirements, solutions, benefits, results, and real-world case studies/use cases.
This means you will have access to a wealth of information that is specifically catered to your needs and goals.
No more wasting time sifting through irrelevant information – our data is curated to provide you with the essential knowledge you need to succeed.
But how does our Adaptive Workflows and Agile Methodologies Knowledge Base compare to competitors and alternatives? The answer is simple – it is unparalleled.
Our dataset is a must-have for professionals and businesses alike, as it offers a DIY and affordable alternative to expensive consulting services.
We take pride in our product and believe it is the best resource available for those looking to streamline their workflows and adopt agile methodologies.
Not only does our Knowledge Base provide valuable insights, but it also offers a detailed overview and specifications of the product.
This ensures that you are getting exactly what you need and can make informed decisions about utilizing our dataset.
Plus, our product type is unique and differs from semi-related products, making it the go-to resource for anyone wanting to improve their workflows and methodologies.
Don’t just take our word for it – the benefits of our Adaptive Workflows and Agile Methodologies Knowledge Base have been researched and proven.
With our dataset, you can expect increased efficiency, faster project delivery, improved communication and collaboration, and ultimately, higher profits for your business.
The best part? Our Adaptive Workflows and Agile Methodologies Knowledge Base is designed to be easily accessible and usable for both professionals and businesses.
You don’t need any special skills or expertise to utilize its full potential.
And most importantly, our product is cost-effective – a small price to pay for the invaluable knowledge and results it provides.
Still not convinced? Let us break it down for you.
Our Adaptive Workflows and Agile Methodologies Knowledge Base allows you to: identify the most important questions to ask, prioritize requirements, find solutions, understand the benefits of adaptive workflows and agile methodologies, and learn from real-world examples and case studies.
It is a one-stop-shop for all your needs, making it an essential tool for any professional or business looking to thrive in today’s fast-paced world.
Say goodbye to inefficient workflows and hello to success with our Adaptive Workflows and Agile Methodologies Knowledge Base.
Don’t miss out on this opportunity to revolutionize your processes and achieve your goals.
Get it now and see the results for yourself!
How has your organization changed processes and workflows, if at all, to reflect the involvement of AI/machine learning/adaptive robotics?
Adaptive Workflows
Adaptive workflows involve changes in an organization′s processes and workflows to incorporate the use of AI, machine learning, or adaptive robotics technology.
1. Regularly review and adjust workflows with team members to ensure efficient integration of AI/ML capabilities.
2. Implement Agile principles such as continuous improvement to adapt processes based on AI/ML performance.
3. Utilize visual management tools to track and visualize AI/ML workflow changes for transparency and alignment.
4. Embrace new roles and responsibilities to support the use of AI/ML, such as a data scientist or AI engineer.
5. Conduct regular training and upskilling for team members to effectively utilize AI/ML in their workflows.
6. Adopt Agile ceremonies like retrospectives to regularly assess and improve AI/ML processes.
7. Use iteration and prioritization techniques to prioritize AI/ML tasks and continuously improve their impact.
8. Foster a culture of experimentation and risk-taking to encourage innovative applications of AI/ML in workflows.
9. Develop an understanding of the underlying technology to effectively incorporate AI/ML in processes.
10. Collaborate cross-functionally to ensure AI/ML is integrated seamlessly into all relevant workflows for maximum efficiency.
CONTROL QUESTION: How has the organization changed processes and workflows, if at all, to reflect the involvement of AI/machine learning/adaptive robotics?
Big Hairy Audacious Goal (BHAG) for 10 years from now:
In 10 years, we envision Adaptive Workflows as a cutting-edge organization at the forefront of integrating AI, machine learning, and adaptive robotics into our processes and workflows. Our goal is to harness the power of these technologies to continually improve our effectiveness and efficiency, ultimately delivering the best possible outcomes for our clients.
By leveraging AI and machine learning, we will have developed personalized workflows that adapt in real-time based on data and user behavior. With the help of adaptive robotics, tasks will be automated and executed with precision, freeing up our team members to focus on higher-value activities.
Our organization will be a leader in the development and implementation of adaptive workflows, which have become the industry standard for streamlined, data-driven processes. We will have successfully integrated AI and machine learning into all aspects of our organization, from project management and data analysis to decision-making and customer interaction.
Our employees will have evolved into adaptive workers who are proficient in using and collaborating with these advanced technologies. They will also be empowered to continuously innovate and improve our workflows through the integration of AI and machine learning.
Through our transformation into a fully adaptive organization, we will have solidified our position as a top performer in our industry, setting the standard for how businesses can effectively leverage technology to drive success. Our adaptive workflows will have become the cornerstone of our competitive advantage, ensuring our long-term sustainability and growth.
"As a business owner, I was drowning in data. This dataset provided me with actionable insights and prioritized recommendations that I could implement immediately. It`s given me a clear direction for growth."
Client Situation:
Adaptive Workflows (AW) is a leading consulting firm that specializes in providing workflow automation solutions for organizations. The company has been in business for over 20 years and has a strong reputation for delivering effective and efficient workflows for its clients. However, with the recent advancements in artificial intelligence (AI), machine learning (ML), and adaptive robotics (AR), AW has identified an opportunity to enhance their workflow solutions by incorporating these technologies.
The client approached AW with the goal of developing AI and ML-driven workflows that would enable them to optimize their operations, improve efficiency, and reduce costs. The client had identified several areas where AI and ML could be integrated, such as document processing, data analysis, and decision making. The objective was to create adaptive workflows that could continuously learn and improve over time, allowing the client to stay competitive in their industry.
Consulting Methodology:
AW began the project by conducting a thorough assessment of the client′s existing workflows and processes. This involved analyzing the flow of information, identifying pain points and bottlenecks, and understanding the areas where AI and ML could potentially be implemented. The team also consulted with subject matter experts and conducted extensive research on the latest developments and best practices in AI, ML, and AR.
Based on the assessment, AW developed a customized approach to integrate AI and ML into the client′s workflows. The approach involved four key steps: data collection and preparation, algorithm development, testing and validation, and implementation. Each step was carefully planned and executed to ensure successful integration and minimal disruption to the client′s operations.
Deliverables:
As part of their consulting engagement, AW delivered the following key deliverables:
1. Detailed assessment report: This included an analysis of the client′s current workflows, identification of opportunities for AI and ML integration, and recommendations for process improvements.
2. AI and ML integration plan: Based on the assessment, AW developed a comprehensive plan to integrate AI and ML into the client′s workflows. The plan included a timeline, resource requirements, and strategies for managing risks and challenges.
3. Customized AI and ML algorithms: AW developed customized algorithms to automate various tasks such as data processing and decision making. These algorithms were designed to continuously learn and improve over time, making the workflows more efficient and effective.
4. Testing and validation results: After implementing the AI and ML algorithms, AW conducted rigorous testing and validation to ensure their accuracy and effectiveness. Any issues or errors were addressed and rectified before final implementation.
Implementation Challenges:
The integration of AI and ML into the client′s workflows presented several challenges that AW had to overcome:
1. Data management: One of the biggest challenges was managing and preparing the large volumes of data required to train the AI and ML algorithms. This involved cleaning, organizing, and validating the data to ensure its accuracy and reliability.
2. Employee resistance: The introduction of AI and ML also raised concerns among the client′s employees about potential job displacement. AW had to meet with employees and address their concerns, emphasizing that the technology was meant to enhance their roles rather than replace them.
3. Technical complexities: The integration of AI and ML required specialized technical expertise, which was scarce in the client′s organization. AW had to provide training and support to the client′s team to ensure they could continue managing the integrated workflows effectively.
KPIs:
To measure the success of the project, AW and the client established key performance indicators (KPIs) related to the efficiency and effectiveness of the adapted workflows. These included:
1. Cost savings: The integration of AI and ML aimed to reduce manual labor and optimize the client′s operations, resulting in cost savings.
2. Time savings: The AI and ML algorithms were expected to streamline tasks and processes, reducing the time required to complete them.
3. Accuracy and error reduction: By automating various tasks, AW aimed to decrease human errors and increase the accuracy of the workflows.
4. Employee satisfaction: The client conducted employee surveys before and after the implementation to measure their level of satisfaction with the adapted workflows.
Management Considerations:
The successful integration of AI and ML into the client′s workflows required a significant shift in management′s mindset towards technology adoption. To ensure the sustainability of the adapted workflows, AW provided recommendations for organizational changes, such as creating a data-driven culture and hiring or training employees with the necessary technical skills.
AW also emphasized the importance of ongoing monitoring, maintenance, and updates to the AI and ML algorithms to keep them relevant and effective. This involved regular performance reviews and the incorporation of user feedback to continuously improve the workflows.
Conclusion:
The project was highly successful, with the AI and ML integrated workflows resulting in significant cost and time savings for the client. According to a survey conducted post-implementation, the employees reported increased job satisfaction as they were able to focus on more strategic tasks rather than manual labor. The client has witnessed a competitive advantage in their industry and plans to continue leveraging AI and ML to drive continuous improvement in their workflows.
Are you tired of constantly searching for the most important questions to ask in order to get results by urgency and scope? Look no further, because our Adaptive Workflows and Agile Methodologies Knowledge Base has got you covered!
Our comprehensive dataset includes 1568 prioritized requirements, solutions, benefits, results, and real-world case studies/use cases.
This means you will have access to a wealth of information that is specifically catered to your needs and goals.
No more wasting time sifting through irrelevant information – our data is curated to provide you with the essential knowledge you need to succeed.
But how does our Adaptive Workflows and Agile Methodologies Knowledge Base compare to competitors and alternatives? The answer is simple – it is unparalleled.
Our dataset is a must-have for professionals and businesses alike, as it offers a DIY and affordable alternative to expensive consulting services.
We take pride in our product and believe it is the best resource available for those looking to streamline their workflows and adopt agile methodologies.
Not only does our Knowledge Base provide valuable insights, but it also offers a detailed overview and specifications of the product.
This ensures that you are getting exactly what you need and can make informed decisions about utilizing our dataset.
Plus, our product type is unique and differs from semi-related products, making it the go-to resource for anyone wanting to improve their workflows and methodologies.
Don’t just take our word for it – the benefits of our Adaptive Workflows and Agile Methodologies Knowledge Base have been researched and proven.
With our dataset, you can expect increased efficiency, faster project delivery, improved communication and collaboration, and ultimately, higher profits for your business.
The best part? Our Adaptive Workflows and Agile Methodologies Knowledge Base is designed to be easily accessible and usable for both professionals and businesses.
You don’t need any special skills or expertise to utilize its full potential.
And most importantly, our product is cost-effective – a small price to pay for the invaluable knowledge and results it provides.
Still not convinced? Let us break it down for you.
Our Adaptive Workflows and Agile Methodologies Knowledge Base allows you to: identify the most important questions to ask, prioritize requirements, find solutions, understand the benefits of adaptive workflows and agile methodologies, and learn from real-world examples and case studies.
It is a one-stop-shop for all your needs, making it an essential tool for any professional or business looking to thrive in today’s fast-paced world.
Say goodbye to inefficient workflows and hello to success with our Adaptive Workflows and Agile Methodologies Knowledge Base.
Don’t miss out on this opportunity to revolutionize your processes and achieve your goals.
Get it now and see the results for yourself!
Discover Insights, Make Informed Decisions, and Stay Ahead of the Curve:
Key Features:
Comprehensive set of 1568 prioritized Adaptive Workflows requirements. - Extensive coverage of 182 Adaptive Workflows topic scopes.
- In-depth analysis of 182 Adaptive Workflows step-by-step solutions, benefits, BHAGs.
- Detailed examination of 182 Adaptive Workflows 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: Product Owner, Agile Sprint, Velocity Measurement, Scaling Agile, Self Organizing Teams, Cross-Functional Teams, Team Empowerment, Agile Ceremonies, Agile Collaboration, Agile Budgeting, Predictive Method, Process Change Tracking, Agile Outsourcing, Scalable Processes, Kanban Boards, Agile Feature, Value Driven Delivery, ERP Project Team, Continuous Delivery, Agile Project, Agile Release Planning, Software Applications, Empirical Process Control, Control System Engineering, Facilitation Skills, Product Vision, Agile Artefacts, Agile Scrum Master, Daily Stand Up, Incremental Prototyping, Team Cohesion, Product Increments, Agile Estimation, Iterative Development, Technical Debt, Operational Revolution, Agile Roles, Pair Negotiation, Agile Documentation, Agile Analysis, Continuous Testing, Collective Ownership, Empowered Teams, Release Planning, Sprint Burndown Chart, Communication Channels, User Requirements, Refactoring Code, Sprint Review, Daily Scrum, Delivery Methodology, User Acceptance Testing, Sprint Planning, Iterative Product Development, Definition Of Done, Test-Driven Development, Agile Project Management, Product Increment, Scrum Master, Scaling Agility, Estimation Techniques, Agile Stakeholder Management, Cross-Functional Collaboration, Agile Reporting, Agile Team, Collaborative Environment, Agile Methodology, Agile Metrics, Time Management, User Stories, Work Method Change, Adaptive Planning, User Expertise, Real Time Feedback, Continuous Integration, Agile Planning, Scrum Board, Agile Product Management, Agile Coaching, Product Backlog, Virtual Work Environment, Agile Risk Management, Agile Modeling, Working Software, Scrum Principles, Information Technology, Enterprise Architecture Methodologies, Agile Facilitator, Agile Implementation, Agile Testing, Rapid Prototyping, Agile Tooling, Burn Down Chart, Business Value, Sprint Backlog, Emergent Design, Adaptive Workflows, Production Deployment, User Centered Design, IT Systems, Agile Values, Cross Functional Teams, Optimization Methods, Agile Transformation, ERP Consulting, Continuous Professional Development, Multinational Corporations, ERP WORK Project, User-Centered Design, Test methodologies, Agile Decision Making, Agile Principles, Agile Monitoring, Iterative Process, Agile User Experience, Supply Chain Complexity, Facilitated Workshops, Agile Retrospective, Product Roadmap, Product Definition, Kanban Practices, Agile Lean, Agile Work, Real-Time Communication, User Validation, Velocity Tracking, Frequent Delivery, Agile Communication, Hybrid Methods, ERP Tracking Software, Agile Facilitation, Agile Adaptation, Agile Customer Service, Real-Time Feedback, Software Testing, Agile Workshops, Agile Training, Team Collaboration Method, Agile Project Delivery, Acceptance Criteria, Agile Quality, Kanban Board, Incremental Development, Agile Frameworks, Test Driven Development, Agile Scrum, Lean Principles, Technical Excellence, Agile Manifesto, Stakeholder Engagement, Minimum Viable Product, Retrospective Techniques, Prioritization Techniques, Agile User Stories, DevOps, Backlog Refinement, Risk Management, Collaborative Decision Making, Scrum values, Sprint Reviews, Agile Mindset, Agile Methodologies, Lean HR, Agile Simulation, EA Methodologies, Short Feedback Loops, Scrum Meetings, User Story Mapping, Scope Management, ERP Software Implementation, Quality Assurance, Progressive Elaboration, Customer Collaboration, Agile Leadership, Project management maturity, Waterfall Methodology, Agile Sprint Planning, Process Improvement Methodologies, Agile Artifacts, Task Boards, Pair Programming, Sprint Goals
Adaptive Workflows Assessment Dataset - Utilization, Solutions, Advantages, BHAG (Big Hairy Audacious Goal):
Adaptive Workflows
Adaptive workflows involve changes in an organization′s processes and workflows to incorporate the use of AI, machine learning, or adaptive robotics technology.
1. Regularly review and adjust workflows with team members to ensure efficient integration of AI/ML capabilities.
2. Implement Agile principles such as continuous improvement to adapt processes based on AI/ML performance.
3. Utilize visual management tools to track and visualize AI/ML workflow changes for transparency and alignment.
4. Embrace new roles and responsibilities to support the use of AI/ML, such as a data scientist or AI engineer.
5. Conduct regular training and upskilling for team members to effectively utilize AI/ML in their workflows.
6. Adopt Agile ceremonies like retrospectives to regularly assess and improve AI/ML processes.
7. Use iteration and prioritization techniques to prioritize AI/ML tasks and continuously improve their impact.
8. Foster a culture of experimentation and risk-taking to encourage innovative applications of AI/ML in workflows.
9. Develop an understanding of the underlying technology to effectively incorporate AI/ML in processes.
10. Collaborate cross-functionally to ensure AI/ML is integrated seamlessly into all relevant workflows for maximum efficiency.
CONTROL QUESTION: How has the organization changed processes and workflows, if at all, to reflect the involvement of AI/machine learning/adaptive robotics?
Big Hairy Audacious Goal (BHAG) for 10 years from now:
In 10 years, we envision Adaptive Workflows as a cutting-edge organization at the forefront of integrating AI, machine learning, and adaptive robotics into our processes and workflows. Our goal is to harness the power of these technologies to continually improve our effectiveness and efficiency, ultimately delivering the best possible outcomes for our clients.
By leveraging AI and machine learning, we will have developed personalized workflows that adapt in real-time based on data and user behavior. With the help of adaptive robotics, tasks will be automated and executed with precision, freeing up our team members to focus on higher-value activities.
Our organization will be a leader in the development and implementation of adaptive workflows, which have become the industry standard for streamlined, data-driven processes. We will have successfully integrated AI and machine learning into all aspects of our organization, from project management and data analysis to decision-making and customer interaction.
Our employees will have evolved into adaptive workers who are proficient in using and collaborating with these advanced technologies. They will also be empowered to continuously innovate and improve our workflows through the integration of AI and machine learning.
Through our transformation into a fully adaptive organization, we will have solidified our position as a top performer in our industry, setting the standard for how businesses can effectively leverage technology to drive success. Our adaptive workflows will have become the cornerstone of our competitive advantage, ensuring our long-term sustainability and growth.
Customer Testimonials:
"As a business owner, I was drowning in data. This dataset provided me with actionable insights and prioritized recommendations that I could implement immediately. It`s given me a clear direction for growth."
"Five stars for this dataset! The prioritized recommendations are top-notch, and the download process was quick and hassle-free. A must-have for anyone looking to enhance their decision-making."
"Downloading this dataset was a breeze. The documentation is clear, and the data is clean and ready for analysis. Kudos to the creators!"
Adaptive Workflows Case Study/Use Case example - How to use:
Client Situation:
Adaptive Workflows (AW) is a leading consulting firm that specializes in providing workflow automation solutions for organizations. The company has been in business for over 20 years and has a strong reputation for delivering effective and efficient workflows for its clients. However, with the recent advancements in artificial intelligence (AI), machine learning (ML), and adaptive robotics (AR), AW has identified an opportunity to enhance their workflow solutions by incorporating these technologies.
The client approached AW with the goal of developing AI and ML-driven workflows that would enable them to optimize their operations, improve efficiency, and reduce costs. The client had identified several areas where AI and ML could be integrated, such as document processing, data analysis, and decision making. The objective was to create adaptive workflows that could continuously learn and improve over time, allowing the client to stay competitive in their industry.
Consulting Methodology:
AW began the project by conducting a thorough assessment of the client′s existing workflows and processes. This involved analyzing the flow of information, identifying pain points and bottlenecks, and understanding the areas where AI and ML could potentially be implemented. The team also consulted with subject matter experts and conducted extensive research on the latest developments and best practices in AI, ML, and AR.
Based on the assessment, AW developed a customized approach to integrate AI and ML into the client′s workflows. The approach involved four key steps: data collection and preparation, algorithm development, testing and validation, and implementation. Each step was carefully planned and executed to ensure successful integration and minimal disruption to the client′s operations.
Deliverables:
As part of their consulting engagement, AW delivered the following key deliverables:
1. Detailed assessment report: This included an analysis of the client′s current workflows, identification of opportunities for AI and ML integration, and recommendations for process improvements.
2. AI and ML integration plan: Based on the assessment, AW developed a comprehensive plan to integrate AI and ML into the client′s workflows. The plan included a timeline, resource requirements, and strategies for managing risks and challenges.
3. Customized AI and ML algorithms: AW developed customized algorithms to automate various tasks such as data processing and decision making. These algorithms were designed to continuously learn and improve over time, making the workflows more efficient and effective.
4. Testing and validation results: After implementing the AI and ML algorithms, AW conducted rigorous testing and validation to ensure their accuracy and effectiveness. Any issues or errors were addressed and rectified before final implementation.
Implementation Challenges:
The integration of AI and ML into the client′s workflows presented several challenges that AW had to overcome:
1. Data management: One of the biggest challenges was managing and preparing the large volumes of data required to train the AI and ML algorithms. This involved cleaning, organizing, and validating the data to ensure its accuracy and reliability.
2. Employee resistance: The introduction of AI and ML also raised concerns among the client′s employees about potential job displacement. AW had to meet with employees and address their concerns, emphasizing that the technology was meant to enhance their roles rather than replace them.
3. Technical complexities: The integration of AI and ML required specialized technical expertise, which was scarce in the client′s organization. AW had to provide training and support to the client′s team to ensure they could continue managing the integrated workflows effectively.
KPIs:
To measure the success of the project, AW and the client established key performance indicators (KPIs) related to the efficiency and effectiveness of the adapted workflows. These included:
1. Cost savings: The integration of AI and ML aimed to reduce manual labor and optimize the client′s operations, resulting in cost savings.
2. Time savings: The AI and ML algorithms were expected to streamline tasks and processes, reducing the time required to complete them.
3. Accuracy and error reduction: By automating various tasks, AW aimed to decrease human errors and increase the accuracy of the workflows.
4. Employee satisfaction: The client conducted employee surveys before and after the implementation to measure their level of satisfaction with the adapted workflows.
Management Considerations:
The successful integration of AI and ML into the client′s workflows required a significant shift in management′s mindset towards technology adoption. To ensure the sustainability of the adapted workflows, AW provided recommendations for organizational changes, such as creating a data-driven culture and hiring or training employees with the necessary technical skills.
AW also emphasized the importance of ongoing monitoring, maintenance, and updates to the AI and ML algorithms to keep them relevant and effective. This involved regular performance reviews and the incorporation of user feedback to continuously improve the workflows.
Conclusion:
The project was highly successful, with the AI and ML integrated workflows resulting in significant cost and time savings for the client. According to a survey conducted post-implementation, the employees reported increased job satisfaction as they were able to focus on more strategic tasks rather than manual labor. The client has witnessed a competitive advantage in their industry and plans to continue leveraging AI and ML to drive continuous improvement in their workflows.
Security and Trust:
- Secure checkout with SSL encryption Visa, Mastercard, Apple Pay, Google Pay, Stripe, Paypal
- Money-back guarantee for 30 days
- Our team is available 24/7 to assist you - support@theartofservice.com
About the Authors: Unleashing Excellence: The Mastery of Service Accredited by the Scientific Community
Immerse yourself in the pinnacle of operational wisdom through The Art of Service`s Excellence, now distinguished with esteemed accreditation from the scientific community. With an impressive 1000+ citations, The Art of Service stands as a beacon of reliability and authority in the field.Our dedication to excellence is highlighted by meticulous scrutiny and validation from the scientific community, evidenced by the 1000+ citations spanning various disciplines. Each citation attests to the profound impact and scholarly recognition of The Art of Service`s contributions.
Embark on a journey of unparalleled expertise, fortified by a wealth of research and acknowledgment from scholars globally. Join the community that not only recognizes but endorses the brilliance encapsulated in The Art of Service`s Excellence. Enhance your understanding, strategy, and implementation with a resource acknowledged and embraced by the scientific community.
Embrace excellence. Embrace The Art of Service.
Your trust in us aligns you with prestigious company; boasting over 1000 academic citations, our work ranks in the top 1% of the most cited globally. Explore our scholarly contributions at: https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=blokdyk
About The Art of Service:
Our clients seek confidence in making risk management and compliance decisions based on accurate data. However, navigating compliance can be complex, and sometimes, the unknowns are even more challenging.
We empathize with the frustrations of senior executives and business owners after decades in the industry. That`s why The Art of Service has developed Self-Assessment and implementation tools, trusted by over 100,000 professionals worldwide, empowering you to take control of your compliance assessments. With over 1000 academic citations, our work stands in the top 1% of the most cited globally, reflecting our commitment to helping businesses thrive.
Founders:
Gerard Blokdyk
LinkedIn: https://www.linkedin.com/in/gerardblokdijk/
Ivanka Menken
LinkedIn: https://www.linkedin.com/in/ivankamenken/
