Your Data, Your AI: 20 SLM Use Cases for On-Premise Productivity

The big grift now in AI is that 'it is not AI that will take your job but the person using AI'. Therefore the underworked consultants are offering - for a handsome fee - over elaborate AI training courses. Served with a word salad this is a variation on prompt engineering mirage that has worn thinner than the emperors new clothes.

This is a callous form of FOMO (fear of missing out) to a middle class aware that is desperate to maintain their status as the western economies go south. Let us turn that on its head. If your people know their job they know the questions to ask, so the AI is the problem not the human.

With this in mind some are building specialized SLM models, such as SCOTi AI, as an assistant that you can speak to in plain English that is trained on your data. These models therefore loyally operates 24-7-365 on your server and in your data so you don't have to. This is Assistive Intelligence works with your people rather than to replace them. Trusted because it is helping them to leverage their experience using your knowledge.

So to cut to the chase here are the 20 Server-Side Smarts SLM Use Cases all running on their existing company's private server to ensure privacy and energy efficiency.

Internal Knowledge & Productivity:

1. Internal Knowledge Base Search: Efficiently search and retrieve information from company documents and databases. We don't mind structured or unstructured because we have our secret sauce we call SchemaSense SLM
2. Meeting Summarization: Automatically summarize internal meetings and create action item lists.
3. Code Completion & Generation: Assist developers with code completion, bug detection, and generating boilerplate code.
4. Internal SaaC (SCOTI as a Chatbot): Provide instant answers to common employee questions about HR, IT, and company policies.
5. Document Classification & Routing: Automatically categorize and route documents to the appropriate departments.
6. Email Summarization & Drafting: Summarize lengthy email threads and assist in drafting responses.
7. Data Extraction from Internal Reports: Quickly pull key data points from financial reports, sales figures, and other internal documents.
8. Internal Training & Onboarding: Generate personalized training materials and quizzes for new employees.

Customer Service & Support (If applicable, and data is carefully managed):

9. Basic Customer Support Chatbot: Handle simple customer inquiries and provide basic troubleshooting guidance.

10. Sentiment Analysis of Customer Feedback: Analyze customer feedback from surveys and emails to identify areas for improvement.

Data Analysis & Reporting:

11. Simple Data Visualization Descriptions: Generate text descriptions of data visualizations for internal reports.

12. Trend Identification in Internal Data: Help identify patterns and trends in sales, marketing, or operational data.

13. Report Generation from Structured Data: Generate text-based reports from structured data sources.

Security & Compliance:

14. Compliance Document Review: Help identify potential compliance issues in internal documents.

15. Security Log Analysis: Summarize and analyze security logs to identify potential threats.

Content Generation & Marketing (Internal Use):

16. Drafting Internal Communications: Generate drafts of internal memos, announcements, and newsletters.

17. Social Media Content Ideas (Internal): Generate ideas for internal social media posts or company updates.

Workflow Automation:

18. Automated Form Filling: Extract data from documents to automatically fill out internal forms.

19. Task Prioritization: Analyze task descriptions and prioritize them based on urgency and importance.

20. Generating personalized internal notifications: Based on data, generate personalized notifications for employees about relevant information.

Rounding up
It's refreshing to see a shift towards Assistive Intelligence that works alongside employees rather than replacing them. This approach truly embodies empowerment and collaboration, values that I hold dear in my own work. By leveraging a specialized SLM's capabilities, organizations can enhance productivity, streamline processes, and ultimately support their teams in achieving success. It's all about finding that balance between technology and human expertise to drive meaningful outcomes.