Practical Approach To Self-Hosted Large Language Model Usage in Corporate Environments

# #Communication #Society #ComSoc #Sister #Chapters #Program #2025 #Joint #Technical #Webinar #Madras #Section #Computer
Share

IEEE ComSoc Sister Chapters Program 2025 (SCP2025) is inviting you to a scheduled ComSoc Joint Technical Webinar Between Ghana & Madras Chapter

Topic: Practical Approach To Self-Hosted Large Language Model Usage in Corporate Environments



  Date and Time

  Location

  Hosts

  Registration



  • Add_To_Calendar_icon Add Event to Calendar
If you are not a robot, please complete the ReCAPTCHA to display virtual attendance info.
  • Contact Event Hosts


  Speakers

Ing. Isaac Kweku Boakye SPE-GhIE, SMIEEE of Ghana Civil Aviation Authority

Topic:

Moderator

Biography:

Email:

Address:Ghana Civil Aviation Authority, , Accra, Ghana, Ghana, +233

Engr. Nana Baffoe Abbam of Ghana Civil Aviation Authority

Topic:

Practical Approach To Self-Hosted Large Language Model Usage in Corporate Environments

Self-hosted Large Language Models (LLMs) in corporate environments refer to the deployment and management of LLMs on an organization's own infrastructure, rather than relying on third-party cloud-based API services. This approach offers several advantages and considerations:
 
Benefits:
  • Enhanced Data Privacy and Security:
    Self-hosting ensures sensitive corporate data used for training or inference remains within the organization's control, addressing concerns about data leakage and compliance with regulations like GDPR or HIPAA.
  • Greater Control and Customization:
    Companies have full control over the model, its environment, and data, enabling fine-tuning for specific business needs, integration with existing systems, and custom security configurations.
  • Reduced Long-Term Costs (at scale):
    While initial setup requires investment in hardware and expertise, self-hosting can be more cost-effective in the long run for high-volume usage compared to recurring API fees.
  • Lower Latency and Improved Performance:
    Running LLMs locally can reduce latency as data does not need to travel to external servers, potentially leading to faster response times for internal applications.
     
     
    Self-hosted LLMs are particularly suitable for organizations with:
     
    High-security and privacy requirements: Industries like finance, healthcare, or government.
    Extensive custom AI needs: Businesses requiring highly specialized models tailored to unique workflows or data.
    Existing robust IT infrastructure and technical expertise: Organizations with the resources to manage complex AI deployments.#
     
    Examples of corporate use cases include internal knowledge management, code generation and analysis, customer service automation with sensitive data, and advanced analytics on proprietary datasets.
 
  •  
 

Biography:

Email:

Address:Ghana Civil Aviation Authority, , Accra, Ghana, Ghana, +233






Agenda

Presentation on Practical Approach To Self-Hosted Large Language Model Usage in Corporate Environments



  Media

WhatsApp_Image_2025-08-15_at_12.00.02 68.95 KiB