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Documents are the support for the data that is used to make decisions. Documents deserve some credit.

Don't under-engineer your new software or product - negative consequences will show up sooner than later.

The investment in AI doesn't support a better running shoe shopping experience, but hopefully pays off elsewhere.

Associate your critical documents with core business data to create a valuable fabric. Otherwise its just junk in a folder.

Has your organization hit the productivity wall - try workflow

Don't underestimate the value of compliance to your organization. The value is easy to achieve and real.

Smarter data helps the entire organization. Don't just strive for consistent folder names, get granular.

Enhancing AI performance through better content for training data.

Organizations need to do more then connect all of their systems. Start there but build intelligence on top of that - the Fabric.

Specialization in tasks has real benefits. Review internal work processes to see where some tasks can be outsourced to specialists.

Can AI clean up the company shared drive so that final, approved documents are easier to find? It can help.

It can be scary when its time for the auditors to come in. But not if you have a system of record where your critical documents are stored.

Should companies fix a bad document management system by cleaning up the existing system or should they start with a new solution?