Framework for disruptive AI/ML Innovation
Clicks: 30
ID: 282179
2022
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
8.7
/100
30 views
16 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #701 of 803 articles by views in arXiv
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 803 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
This framework enables C suite executive leaders to define a business plan
and manage technological dependencies for building AI/ML Solutions. The
business plan of this framework provides components and background information
to define strategy and analyze cost. Furthermore, the business plan represents
the fundamentals of AI/ML Innovation and AI/ML Solutions. Therefore, the
framework provides a menu for managing and investing in AI/ML. Finally, this
framework is constructed with an interdisciplinary and holistic view of AI/ML
Innovation and builds on advances in business strategy in harmony with
technological progress for AI/ML. This framework incorporates value chain,
supply chain, and ecosystem strategies.
| Reference Key |
mcginnis2022framework
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Wim Verleyen; William McGinnis |
| Journal | arXiv |
| Year | 2022 |
| DOI |
DOI not found
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.