The year 2023 was a key turning point in the field of Artificial Intelligence (AI), Notably, ChatGPT, a leading AI tool, expanded rapidly demonstrating the growing public interest in AI technologies. Microsoft's strategic partnership with OpenAI, marked by a $10 billion investment, set the stage for this expansion. 2023 was also a year of intense competition among tech giants. Google unveiled Bard, its answer to ChatGPT, while Microsoft enhanced Bing with AI capabilities. Amazon wasn't far behind, introducing Bedrock for AWS, enabling customers to leverage generative AI models and more.
These new possibilities for AI have begun within ChillIDB which will be coming in the future to better advance our Client Management system for our not-for-profit, community and health organisations.
ChilliDB's Beginning with AI in Client Management
ChilliDB has started its journey to integrate AI into client management. Realising the potential of AI, ChilliDB initiated plans to incorporate AI into its services. This initiative aimed to improve sectors such as not-for-profits, healthcare, and community organisations, enhancing tasks from managing volunteers to healthcare processes.
Building Trust in the Age of AI
An important part of ChilliDB's AI initiative is focusing on trust. In today's world, where handling sensitive data is crucial, ChilliDB is committed to creating secure and ethical AI solutions. By seeking user feedback and improving security measures, ChilliDB aims to ensure its AI solutions are not just advanced but also trustworthy.
Creating a Framework for AI in Client Management
AI integration is on the horizon for ChilliDB. We are looking at integrating features such as Predictive Analytics, Automated Data Entry, Personalised Recommendations, Automated Reporting, Assistance in Case/Event/Membership Management and more.
These tools can help us produce high-quality solutions tailored to specific audiences.
1. Not-for-Profit Organisations:
Volunteer Management: Match volunteers with suitable opportunities based on their skills and interests.
Event Forecasting: Predict attendance and required resources for future events based on past data.
Stakeholder Engagement: Gauge and enhance engagement levels of donors, volunteers, and beneficiaries.
Resource Allocation: Optimise the use of available resources based on predicted demand or community feedback.
Tailored Communication: Customise communication for different audience segments.
Automated Reporting: Streamline the generation of stakeholder updates.
2. Health Client Management Systems:
Medication Management: Track and manage patient medications, ensuring no drug interactions.
Appointment Scheduling: Optimise and manage patient appointments based on their history and preferences.
Billing Automation: Streamline the billing process and detect fraudulent claims.
Resource Allocation: Predict patient inflow and allocate resources like beds and medical equipment accordingly.
Telemedicine Enhancement: Improve virtual consultations with AI tools like real-time transcription.
3. Community Organisations:
Community Engagement Analysis: Measure and enhance community interactions and feedback.
Event and Workshop Planning: Efficiently plan community events based on past attendance and feedback.
Skill Matching: Connect volunteers with relevant opportunities based on their skills and interests.
Safety and Risk Assessment: Ensure the safety of community events by predicting potential risks.
Community Trend Analysis: Stay updated with emerging community trends by analysing social media and news sources.
Future Outlook: AI and Client Management Evolution
ChilliDB is not just adopting AI but actively shaping it to meet the practical needs of users and communities. ChilliDB is dedicated to pioneering practical, trust-based AI solutions. The progress made in 2023 has established a basis for future developments, where AI is seen as a key tool in providing efficient, ethical, and personalised client management experiences. ChilliDB is at the forefront of this development, focusing on excellence and trust.
References:
Ai in health care: Applications, benefits, and examples. Coursera. (n.d.). https://www.coursera.org/articles/ai-in-health-care
De Saulles, M. (2023, March 30). 5 ways ai will transform CRM. CIO. https://www.cio.com/article/465624/5-ways-ai-will-transform-crm.html
Fine, A., & Kanter, B. (2021, December 9). How smart tech is transforming nonprofits. Harvard Business Review. https://hbr.org/2021/12/how-smart-tech-is-transforming-nonprofits
NCBI. “The potential for artificial intelligence in healthcare, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6616181/.”
Why machine learning is the best segmentation. Dataro. (n.d.). https://dataro.io/2021/02/01/why-machine-learning-is-the-best-segmentation/