- From: Owen Ambur <Owen.Ambur@verizon.net>
- Date: Tue, 7 Apr 2020 11:52:53 -0400
- To: W3C AIKR CG <public-aikr@w3.org>
- Cc: Pradeep Jain <Pradeep.Jain@ictect.com>
- Message-ID: <b400904e-b2dc-6aed-0c8d-e0410b276627@verizon.net>
Docugami is a start-up of MS alums who are working to apply AI to the
mundane but potentially transformative process of document engineering.
https://stratml.us/carmel/iso/DCGMwStyle.xml
Here's what I just posted on LinkedIn:
Docugami's open letter is now available in StratML (ISO 17469-1)
format at https://stratml.us/drybridge/index.htm#OLD
With reference to Goal 3, Privacy & Security
<https://stratml.us/carmel/iso/OLDwStyle.xml#_7d9442f2-78e0-11ea-b697-99551383ea00>,
it has never made sense to store sensitive information in large
databases with single points of failure. It's high time that
companies recognize the risk and liabilities associated with doing so.
Goal 4, Document Structure & Strategy
<https://stratml.us/carmel/iso/OLDwStyle.xml#_7d944d7e-78e0-11ea-b697-99551383ea00>,
highlights the need to craft literal performance plans for documents
and databases before developing and implementing them. The "bigger"
the document/data collection, the greater the need for such plans.
See also https://en.wikipedia.org/wiki/Machine-readable_document
Under the Paperwork Reduction Act (PRA), U.S. federal agencies have long
been required to obtain approval from OMB to collect information.
https://www.reginfo.gov/public/jsp/PRA/ICR_info.myjsp However, the
process has never adequately addressed the need to apply open,
machine-readable data standards across the whole of government (federal,
state, local & international). Hopefully, the OPEN Government Data Act
(OGDA
<https://www.linkedin.com/pulse/open-gov-data-act-machine-readable-records-owen-ambur/>)
will stimulate progress toward that end but the support of innovative
entrepreneurs will be required to make it happen.
Owen
Received on Tuesday, 7 April 2020 15:53:03 UTC