HARNESSING ARTIFICIAL INTELLIGENCE TO DELIVER REAL-TIME INTELLIGENCE AND BUSINESS PROCESS IMPROVEMENTS. Issue 4 (3rd April 2018)
- Record Type:
- Journal Article
- Title:
- HARNESSING ARTIFICIAL INTELLIGENCE TO DELIVER REAL-TIME INTELLIGENCE AND BUSINESS PROCESS IMPROVEMENTS. Issue 4 (3rd April 2018)
- Main Title:
- HARNESSING ARTIFICIAL INTELLIGENCE TO DELIVER REAL-TIME INTELLIGENCE AND BUSINESS PROCESS IMPROVEMENTS
- Authors:
- Cangemi, Michael P.
Taylor, Patrick - Abstract:
- Abstract: As demand for data scientists in audit/Governance, risk management and compliance (GRC), and industry in general, outpaces supply, data science in a box—packaged analytics powered by artificial intelligence (AI) and guided machine learning—can bridge the gap to bring analytics to every major enterprise. Packaged analytics harness the power of AI and machine learning technologies to help operations, finance executives, and GRC professionals do their jobs better; optimize business processes; and deliver actionable insights for better decision making. This article will explore real-world case studies of how companies have used packaged analytics to achieve process improvements, better oversight over financial spend, and significant return on investment. It is a guide to internal auditors and their GRC counterparts on what is available and suggests they can partner or use the products independently and significantly contribute to their companies.
- Is Part Of:
- EDPACS. Volume 57:Issue 4(2018)
- Journal:
- EDPACS
- Issue:
- Volume 57:Issue 4(2018)
- Issue Display:
- Volume 57, Issue 4 (2018)
- Year:
- 2018
- Volume:
- 57
- Issue:
- 4
- Issue Sort Value:
- 2018-0057-0004-0000
- Page Start:
- 1
- Page End:
- 6
- Publication Date:
- 2018-04-03
- Subjects:
- Electronic data processing -- Auditing -- Periodicals
Computers -- Access control -- Periodicals
Electronic data processing departments -- Security measures -- Periodicals
005.8 - Journal URLs:
- http://www.tandfonline.com/toc/uedp20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/07366981.2018.1444007 ↗
- Languages:
- English
- ISSNs:
- 0736-6981
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3661.115000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 6657.xml