Unlock the Power of Sentiment Analysis in AI Risks with Our Knowledge Base - Your Comprehensive Solution for Seamless Decision-MakingAre you tired of sifting through endless information to find the most crucial insights on AI risks? Look no further – our Sentiment Analysis in AI Risks Knowledge Base has got you covered.
Our dataset is a game-changer for professionals in the field, providing a streamlined and efficient approach to obtaining results by urgency and scope.
Boasting over 1,500 prioritized requirements, solutions, benefits, results, and real-world case studies, our dataset is the most comprehensive and valuable resource on the market.
But what sets us apart from competitors and alternatives? Our Sentiment Analysis in AI Risks Knowledge Base caters specifically to professionals, ensuring that every requirement and solution is tailored for their needs.
With detailed product specifications and an easy-to-use interface, our dataset allows for quick and seamless access to essential information.
And the best part? Our product is DIY and affordable, making it accessible to businesses of all sizes.
No more outsourcing for expensive and time-consuming consultations – now you have all the tools you need right at your fingertips.
But don′t just take our word for it – our knowledge base is backed by extensive research and industry expertise.
We understand the challenges and implications of AI risks and have compiled the most critical insights for you, saving you hours of research and analysis.
With our Sentiment Analysis in AI Risks Knowledge Base, businesses can make informed decisions and mitigate potential risks, ultimately leading to improved performance and success.
And let′s not forget the cost savings – skip the lengthy and costly consulting processes and go straight to the source with our knowledge base.
Still not convinced? Let us break it down for you – our product offers everything you need, without the hefty price tag.
It′s convenient, comprehensive, DIY, and backed by research – what more could you ask for? So why wait? Upgrade your decision-making process and stay ahead of AI risks with our Sentiment Analysis in AI Risks Knowledge Base.
Trust us, you won′t find a better alternative.
Try it now and experience the power of knowledge.
How can the cro influence sentiment, values & behaviours throughout your organization? What can be done in the international research/development community to make sure that the most brilliant ideas do have an impact also for social issues?
Sentiment Analysis
Sentiment analysis is the process of using data and technology to understand and interpret the emotions, attitudes, and opinions of individuals within an organization in order to influence their perceptions and behaviors.
1. Implement regular training for employees on ethical decision making and values-based behaviors. This promotes awareness and accountability.
2. Utilize AI tools for monitoring sentiment and values within the organization, identifying potential issues and areas for improvement.
3. Incorporate diversity and inclusion initiatives to promote a more inclusive and empathetic workplace culture.
4. Encourage open and transparent communication channels for employees to voice their concerns and provide feedback.
5. Establish a code of ethics or values statement that outlines expected behavior and consequences for unethical actions.
6. Use AI to track and analyze data on employee behaviors and identify any patterns or areas of concern.
7. Foster a culture of trust and transparency, where employees feel comfortable reporting any concerning behavior without fear of retaliation.
8. Build a strong leadership team that prioritizes ethical standards and leads by example.
9. Conduct regular reviews and audits of AI systems to ensure they are not biased or promoting unethical values.
10. Reward and recognize ethical behavior and value-driven actions in the workplace.
CONTROL QUESTION: How can the cro influence sentiment, values & behaviours throughout the organization?
Big Hairy Audacious Goal (BHAG) for 10 years from now:
In 10 years, Sentiment Analysis will have evolved into a powerful tool for organizations to influence the sentiment, values, and behaviors of not just their employees, but also their customers and stakeholders. This will be achieved through the adoption of advanced sentiment analysis algorithms and technologies that allow for real-time monitoring and analysis of online conversations, as well as the integration of this data with other sources such as surveys, reviews, and social media platforms.
The ultimate goal for Sentiment Analysis will be to create a holistic understanding of an organization′s internal and external sentiment, and leverage this knowledge to strategically shape and drive positive sentiment, values, and behaviors throughout every level of the organization.
At the employee level, Sentiment Analysis will be used to improve employee engagement by identifying areas of improvement and addressing issues that may be negatively impacting employee morale. This will lead to a more positive and productive work culture, resulting in increased employee satisfaction and retention.
At the customer level, Sentiment Analysis will be used to gain insights into customer preferences, needs, and sentiments, allowing organizations to tailor their products and services to better meet customer expectations. This will result in increased customer satisfaction, loyalty, and advocacy.
Furthermore, Sentiment Analysis will also play a crucial role in managing an organization′s reputation and brand image. By monitoring and analyzing sentiment across various channels, organizations will be able to proactively address any negative sentiment and take steps to improve their brand perception. This will ultimately lead to increased brand trust and a positive impact on revenue and market share.
In summary, my big hairy audacious goal for Sentiment Analysis in 10 years is to revolutionize how organizations understand and influence sentiment, values, and behaviors throughout the organization. It will be a crucial tool for driving positive change and creating a strong, resilient, and successful organization.
"This dataset has been a lifesaver for my research. The prioritized recommendations are clear and concise, making it easy to identify the most impactful actions. A must-have for anyone in the field!"
Introduction:
Sentiment analysis is a powerful tool for understanding and influencing the sentiment, values, and behaviors that drive an organization. It involves using natural language processing, machine learning, and other statistical techniques to analyze the attitudes, emotions, and opinions expressed in textual data. In this case study, we will explore how sentiment analysis can be used by organizations to measure and influence sentiment, values, and behaviors throughout the organizational ecosystem.
Client Situation:
ABC Corporation is a global manufacturing company with operations in multiple countries. The company has been facing challenges in terms of employee morale, job satisfaction, and overall organizational culture. This has had a negative impact on employee productivity, retention, and ultimately, the company′s bottom line. After conducting internal investigations and surveys, ABC Corporation has identified that the root cause of these issues lies in the sentiments and values prevalent within the organization. There is a lack of trust, transparency, and collaboration among employees, which has resulted in a toxic work environment and disengaged employees.
Consulting Methodology:
To address these issues, ABC Corporation has engaged our consulting firm to conduct a sentiment analysis across the entire organization. Our first step was to gather all the textual data available within the company, including employee surveys, performance reviews, social media posts, and customer feedback. This data was then cleaned and pre-processed to remove any noise and irrelevant information.
We then utilized advanced natural language processing and machine learning techniques to analyze the sentiment, emotions, and topics expressed in the data. The unsupervised learning approach was used to cluster the data into different topics and sentiments. These clusters were then manually reviewed and labeled, and a sentiment score was assigned to each topic.
Deliverables:
The deliverable from our sentiment analysis process included a detailed report highlighting the key themes and sentiments present within the organization. It also included recommendations for addressing the negative sentiments and promoting positive values and behaviors. Additionally, we provided a sentiment analysis dashboard that allowed real-time monitoring of employee sentiments and feedback.
Implementation Challenges:
One of the major challenges faced during the implementation of this project was the availability and quality of data. ABC Corporation had a large amount of textual data, but it was dispersed across various systems and formats. Our team had to spend considerable time and effort in collecting and cleaning this data.
Another challenge was the manual review and labeling of the sentiment clusters. This required subject matter experts to go through a large amount of data, which was a time-consuming process. However, we overcame this challenge by utilizing a mix of automated and manual techniques to speed up the process.
KPIs:
The success of our sentiment analysis project was measured based on several key performance indicators, including:
1. Employee satisfaction and engagement scores
2. Retention rates
3. Productivity and performance metrics
4. Number of positive social media mentions and reviews
5. Overall company culture and values score
6. Time taken to address negative sentiments and promote positive behaviors within the organization.
Management Considerations:
To ensure the sustainability of our sentiment analysis project, management at ABC Corporation was actively involved throughout the implementation process. They provided valuable insights and direction on how to address the issues identified through the sentiment analysis. Additionally, they worked closely with our team to develop strategies and action plans for promoting positive values and behaviors within the organization.
Conclusion:
The sentiment analysis project had a significant impact on ABC Corporation′s organizational ecosystem. It helped management understand the root causes of the issues faced by the company and provided actionable insights for improving employee morale and engagement. The sentiment analysis dashboard also allowed for real-time monitoring and feedback, enabling the company to address any negative sentiments promptly. As a result, ABC Corporation saw an improvement in its overall culture and values, leading to improved employee satisfaction, retention, and ultimately, a positive impact on the company′s bottom line. Our consulting firm continues to work with ABC Corporation to monitor sentiment and make data-driven decisions that promote a positive and productive organizational culture.
Our dataset is a game-changer for professionals in the field, providing a streamlined and efficient approach to obtaining results by urgency and scope.
Boasting over 1,500 prioritized requirements, solutions, benefits, results, and real-world case studies, our dataset is the most comprehensive and valuable resource on the market.
But what sets us apart from competitors and alternatives? Our Sentiment Analysis in AI Risks Knowledge Base caters specifically to professionals, ensuring that every requirement and solution is tailored for their needs.
With detailed product specifications and an easy-to-use interface, our dataset allows for quick and seamless access to essential information.
And the best part? Our product is DIY and affordable, making it accessible to businesses of all sizes.
No more outsourcing for expensive and time-consuming consultations – now you have all the tools you need right at your fingertips.
But don′t just take our word for it – our knowledge base is backed by extensive research and industry expertise.
We understand the challenges and implications of AI risks and have compiled the most critical insights for you, saving you hours of research and analysis.
With our Sentiment Analysis in AI Risks Knowledge Base, businesses can make informed decisions and mitigate potential risks, ultimately leading to improved performance and success.
And let′s not forget the cost savings – skip the lengthy and costly consulting processes and go straight to the source with our knowledge base.
Still not convinced? Let us break it down for you – our product offers everything you need, without the hefty price tag.
It′s convenient, comprehensive, DIY, and backed by research – what more could you ask for? So why wait? Upgrade your decision-making process and stay ahead of AI risks with our Sentiment Analysis in AI Risks Knowledge Base.
Trust us, you won′t find a better alternative.
Try it now and experience the power of knowledge.
Discover Insights, Make Informed Decisions, and Stay Ahead of the Curve:
Key Features:
Comprehensive set of 1514 prioritized Sentiment Analysis requirements. - Extensive coverage of 292 Sentiment Analysis topic scopes.
- In-depth analysis of 292 Sentiment Analysis step-by-step solutions, benefits, BHAGs.
- Detailed examination of 292 Sentiment Analysis 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: Adaptive Processes, Top Management, AI Ethics Training, Artificial Intelligence In Healthcare, Risk Intelligence Platform, Future Applications, Virtual Reality, Excellence In Execution, Social Manipulation, Wealth Management Solutions, Outcome Measurement, Internet Connected Devices, Auditing Process, Job Redesign, Privacy Policy, Economic Inequality, Existential Risk, Human Replacement, Legal Implications, Media Platforms, Time series prediction, Big Data Insights, Predictive Risk Assessment, Data Classification, Artificial Intelligence Training, Identified Risks, Regulatory Frameworks, Exploitation Of Vulnerabilities, Data Driven Investments, Operational Intelligence, Implementation Planning, Cloud Computing, AI Surveillance, Data compression, Social Stratification, Artificial General Intelligence, AI Technologies, False Sense Of Security, Robo Advisory Services, Autonomous Robots, Data Analysis, Discount Rate, Machine Translation, Natural Language Processing, Smart Risk Management, Cybersecurity defense, AI Governance Framework, AI Regulation, Data Protection Impact Assessments, Technological Singularity, Automated Decision, Responsible Use Of AI, Algorithm Bias, Continually Improving, Regulate AI, Predictive Analytics, Machine Vision, Cognitive Automation, Research Activities, Privacy Regulations, Fraud prevention, Cyber Threats, Data Completeness, Healthcare Applications, Infrastructure Management, Cognitive Computing, Smart Contract Technology, AI Objectives, Identification Systems, Documented Information, Future AI, Network optimization, Psychological Manipulation, Artificial Intelligence in Government, Process Improvement Tools, Quality Assurance, Supporting Innovation, Transparency Mechanisms, Lack Of Diversity, Loss Of Control, Governance Framework, Learning Organizations, Safety Concerns, Supplier Management, Algorithmic art, Policing Systems, Data Ethics, Adaptive Systems, Lack Of Accountability, Privacy Invasion, Machine Learning, Computer Vision, Anti Social Behavior, Automated Planning, Autonomous Systems, Data Regulation, Control System Artificial Intelligence, AI Ethics, Predictive Modeling, Business Continuity, Anomaly Detection, Inadequate Training, AI in Risk Assessment, Project Planning, Source Licenses, Power Imbalance, Pattern Recognition, Information Requirements, Governance And Risk Management, Machine Data Analytics, Data Science, Ensuring Safety, Generative Art, Carbon Emissions, Financial Collapse, Data generation, Personalized marketing, Recognition Systems, AI Products, Automated Decision-making, AI Development, Labour Productivity, Artificial Intelligence Integration, Algorithmic Risk Management, Data Protection, Data Legislation, Cutting-edge Tech, Conformity Assessment, Job Displacement, AI Agency, AI Compliance, Manipulation Of Information, Consumer Protection, Fraud Risk Management, Automated Reasoning, Data Ownership, Ethics in AI, Governance risk policies, Virtual Assistants, Innovation Risks, Cybersecurity Threats, AI Standards, Governance risk frameworks, Improved Efficiencies, Lack Of Emotional Intelligence, Liability Issues, Impact On Education System, Augmented Reality, Accountability Measures, Expert Systems, Autonomous Weapons, Risk Intelligence, Regulatory Compliance, Machine Perception, Advanced Risk Management, AI and diversity, Social Segregation, AI Governance, Risk Management, Artificial Intelligence in IoT, Managing AI, Interference With Human Rights, Invasion Of Privacy, Model Fairness, Artificial Intelligence in Robotics, Predictive Algorithms, Artificial Intelligence Algorithms, Resistance To Change, Privacy Protection, Autonomous Vehicles, Artificial Intelligence Applications, Data Innovation, Project Coordination, Internal Audit, Biometrics Authentication, Lack Of Regulations, Product Safety, AI Oversight, AI Risk, Risk Assessment Technology, Financial Market Automation, Artificial Intelligence Security, Market Surveillance, Emerging Technologies, Mass Surveillance, Transfer Of Decision Making, AI Applications, Market Trends, Surveillance Authorities, Test AI, Financial portfolio management, Intellectual Property Protection, Healthcare Exclusion, Hacking Vulnerabilities, Artificial Intelligence, Sentiment Analysis, Human AI Interaction, AI System, Cutting Edge Technology, Trustworthy Leadership, Policy Guidelines, Management Processes, Automated Decision Making, Source Code, Diversity In Technology Development, Ethical risks, Ethical Dilemmas, AI Risks, Digital Ethics, Low Cost Solutions, Legal Liability, Data Breaches, Real Time Market Analysis, Artificial Intelligence Threats, Artificial Intelligence And Privacy, Business Processes, Data Protection Laws, Interested Parties, Digital Divide, Privacy Impact Assessment, Knowledge Discovery, Risk Assessment, Worker Management, Trust And Transparency, Security Measures, Smart Cities, Using AI, Job Automation, Human Error, Artificial Superintelligence, Automated Trading, Technology Regulation, Regulatory Policies, Human Oversight, Safety Regulations, Game development, Compromised Privacy Laws, Risk Mitigation, Artificial Intelligence in Legal, Lack Of Transparency, Public Trust, Risk Systems, AI Policy, Data Mining, Transparency Requirements, Privacy Laws, Governing Body, Artificial Intelligence Testing, App Updates, Control Management, Artificial Intelligence Challenges, Intelligence Assessment, Platform Design, Expensive Technology, Genetic Algorithms, Relevance Assessment, AI Transparency, Financial Data Analysis, Big Data, Organizational Objectives, Resource Allocation, Misuse Of Data, Data Privacy, Transparency Obligations, Safety Legislation, Bias In Training Data, Inclusion Measures, Requirements Gathering, Natural Language Understanding, Automation In Finance, Health Risks, Unintended Consequences, Social Media Analysis, Data Sharing, Net Neutrality, Intelligence Use, Artificial intelligence in the workplace, AI Risk Management, Social Robotics, Protection Policy, Implementation Challenges, Ethical Standards, Responsibility Issues, Monopoly Of Power, Algorithmic trading, Risk Practices, Virtual Customer Services, Security Risk Assessment Tools, Legal Framework, Surveillance Society, Decision Support, Responsible Artificial Intelligence
Sentiment Analysis Assessment Dataset - Utilization, Solutions, Advantages, BHAG (Big Hairy Audacious Goal):
Sentiment Analysis
Sentiment analysis is the process of using data and technology to understand and interpret the emotions, attitudes, and opinions of individuals within an organization in order to influence their perceptions and behaviors.
1. Implement regular training for employees on ethical decision making and values-based behaviors. This promotes awareness and accountability.
2. Utilize AI tools for monitoring sentiment and values within the organization, identifying potential issues and areas for improvement.
3. Incorporate diversity and inclusion initiatives to promote a more inclusive and empathetic workplace culture.
4. Encourage open and transparent communication channels for employees to voice their concerns and provide feedback.
5. Establish a code of ethics or values statement that outlines expected behavior and consequences for unethical actions.
6. Use AI to track and analyze data on employee behaviors and identify any patterns or areas of concern.
7. Foster a culture of trust and transparency, where employees feel comfortable reporting any concerning behavior without fear of retaliation.
8. Build a strong leadership team that prioritizes ethical standards and leads by example.
9. Conduct regular reviews and audits of AI systems to ensure they are not biased or promoting unethical values.
10. Reward and recognize ethical behavior and value-driven actions in the workplace.
CONTROL QUESTION: How can the cro influence sentiment, values & behaviours throughout the organization?
Big Hairy Audacious Goal (BHAG) for 10 years from now:
In 10 years, Sentiment Analysis will have evolved into a powerful tool for organizations to influence the sentiment, values, and behaviors of not just their employees, but also their customers and stakeholders. This will be achieved through the adoption of advanced sentiment analysis algorithms and technologies that allow for real-time monitoring and analysis of online conversations, as well as the integration of this data with other sources such as surveys, reviews, and social media platforms.
The ultimate goal for Sentiment Analysis will be to create a holistic understanding of an organization′s internal and external sentiment, and leverage this knowledge to strategically shape and drive positive sentiment, values, and behaviors throughout every level of the organization.
At the employee level, Sentiment Analysis will be used to improve employee engagement by identifying areas of improvement and addressing issues that may be negatively impacting employee morale. This will lead to a more positive and productive work culture, resulting in increased employee satisfaction and retention.
At the customer level, Sentiment Analysis will be used to gain insights into customer preferences, needs, and sentiments, allowing organizations to tailor their products and services to better meet customer expectations. This will result in increased customer satisfaction, loyalty, and advocacy.
Furthermore, Sentiment Analysis will also play a crucial role in managing an organization′s reputation and brand image. By monitoring and analyzing sentiment across various channels, organizations will be able to proactively address any negative sentiment and take steps to improve their brand perception. This will ultimately lead to increased brand trust and a positive impact on revenue and market share.
In summary, my big hairy audacious goal for Sentiment Analysis in 10 years is to revolutionize how organizations understand and influence sentiment, values, and behaviors throughout the organization. It will be a crucial tool for driving positive change and creating a strong, resilient, and successful organization.
Customer Testimonials:
"This dataset has been a lifesaver for my research. The prioritized recommendations are clear and concise, making it easy to identify the most impactful actions. A must-have for anyone in the field!"
"This dataset has been invaluable in developing accurate and profitable investment recommendations for my clients. It`s a powerful tool for any financial professional."
"It`s refreshing to find a dataset that actually delivers on its promises. This one truly surpassed my expectations."
Sentiment Analysis Case Study/Use Case example - How to use:
Introduction:
Sentiment analysis is a powerful tool for understanding and influencing the sentiment, values, and behaviors that drive an organization. It involves using natural language processing, machine learning, and other statistical techniques to analyze the attitudes, emotions, and opinions expressed in textual data. In this case study, we will explore how sentiment analysis can be used by organizations to measure and influence sentiment, values, and behaviors throughout the organizational ecosystem.
Client Situation:
ABC Corporation is a global manufacturing company with operations in multiple countries. The company has been facing challenges in terms of employee morale, job satisfaction, and overall organizational culture. This has had a negative impact on employee productivity, retention, and ultimately, the company′s bottom line. After conducting internal investigations and surveys, ABC Corporation has identified that the root cause of these issues lies in the sentiments and values prevalent within the organization. There is a lack of trust, transparency, and collaboration among employees, which has resulted in a toxic work environment and disengaged employees.
Consulting Methodology:
To address these issues, ABC Corporation has engaged our consulting firm to conduct a sentiment analysis across the entire organization. Our first step was to gather all the textual data available within the company, including employee surveys, performance reviews, social media posts, and customer feedback. This data was then cleaned and pre-processed to remove any noise and irrelevant information.
We then utilized advanced natural language processing and machine learning techniques to analyze the sentiment, emotions, and topics expressed in the data. The unsupervised learning approach was used to cluster the data into different topics and sentiments. These clusters were then manually reviewed and labeled, and a sentiment score was assigned to each topic.
Deliverables:
The deliverable from our sentiment analysis process included a detailed report highlighting the key themes and sentiments present within the organization. It also included recommendations for addressing the negative sentiments and promoting positive values and behaviors. Additionally, we provided a sentiment analysis dashboard that allowed real-time monitoring of employee sentiments and feedback.
Implementation Challenges:
One of the major challenges faced during the implementation of this project was the availability and quality of data. ABC Corporation had a large amount of textual data, but it was dispersed across various systems and formats. Our team had to spend considerable time and effort in collecting and cleaning this data.
Another challenge was the manual review and labeling of the sentiment clusters. This required subject matter experts to go through a large amount of data, which was a time-consuming process. However, we overcame this challenge by utilizing a mix of automated and manual techniques to speed up the process.
KPIs:
The success of our sentiment analysis project was measured based on several key performance indicators, including:
1. Employee satisfaction and engagement scores
2. Retention rates
3. Productivity and performance metrics
4. Number of positive social media mentions and reviews
5. Overall company culture and values score
6. Time taken to address negative sentiments and promote positive behaviors within the organization.
Management Considerations:
To ensure the sustainability of our sentiment analysis project, management at ABC Corporation was actively involved throughout the implementation process. They provided valuable insights and direction on how to address the issues identified through the sentiment analysis. Additionally, they worked closely with our team to develop strategies and action plans for promoting positive values and behaviors within the organization.
Conclusion:
The sentiment analysis project had a significant impact on ABC Corporation′s organizational ecosystem. It helped management understand the root causes of the issues faced by the company and provided actionable insights for improving employee morale and engagement. The sentiment analysis dashboard also allowed for real-time monitoring and feedback, enabling the company to address any negative sentiments promptly. As a result, ABC Corporation saw an improvement in its overall culture and values, leading to improved employee satisfaction, retention, and ultimately, a positive impact on the company′s bottom line. Our consulting firm continues to work with ABC Corporation to monitor sentiment and make data-driven decisions that promote a positive and productive organizational culture.
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/
