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Make your AI models work smarter by training them on all of your company data.

AI helps teams work smarter than ever. But to get the best results, you need to make sure that you’re training your AI models on all of your business data, including paper in your filing cabinets.

Your Unique Business Needs Your Unique Data

Is your business exactly the same as another business? Of course not! Your organization is unique with its own history of documents, decisions, and data. So when it comes to integrating AI into your processes, it’s going to work the best if it’s trained on that unique history. This will bring much more accurate and useful results relying on the general, public-facing AI tools.

One of the issues of training your own AI model is that your business data isn’t just stored digitally on your server, it’s also on paper in filing cabinets and desk drawers. So if you want your AI tools to do next-level work like reliable forecasting, assisting customers via chatbots, and unique content generation, you’re going to need to digitize your information.

This means all of your company information! Ideally you are already working with digital files to optimize your workflow, but there can still be a lot of rogue paper documents out there. Some of these include, but are certainly not limited to:

  • Onboarding paperwork
  • Formal and informal training guides
  • Historical records
  • Internal style guides
  • Business cards
  • Conference collateral

It may be tempting to save money by just using the free AI tools, but there are a significant number of issues with that avenue, as you can see in the comparison below.

Why can't I just use free AI tools?

Your Models and Data vs. Public Models

Your Proprietary Models and Data
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Specific, custom industry insights
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Full control of data security and privacy
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Higher answer accuracy
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Update them at any time with new company data
Free Public Models and Data
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Trained on publicly available generalized data
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No control over your company's data privacy
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Possible inaccuracies in answers
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Updates to public models are infrequent

Datamation's Process

Getting Your Data Ready for Training

We work with you to identify, centralize, and digitize your information. Our team has vast experience preparing data for AI model ingestion.

  1. Our experts meet with you to identify what information you have, and all the places it is physically and/or digitally stored.
  2. Physical documents are scanned and metadata is populated.
  3. If required, electronic files are converted to the proper format for feeding your AI model.
  4. Any data that is not text-searchable is run through our OCR engine for extraction.
  5. Data is transferred to you.

Make Your AI Models Work Smarter

Ensure all of your company data is digitized for optimal AI model training!