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Press release announcing Northern Hills Federal Credit Union’s deployment of an AI-based platform for faster and more precise credit approvals to members.
Year:
2021
Region / City:
New York, USA
Topic:
Financial Technology / Credit Decisioning
Document Type:
Press Release
Organization:
Northern Hills Federal Credit Union
Author:
Augusta Bauknight
Target Audience:
Credit Union Members, Financial Institutions
Date of Release:
December 13, 2021
Technology Partner:
Scienaptic AI
Focus:
AI-powered credit underwriting and loan approval
Price: 8 / 10 USD
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Year:
2023
Region / City:
Global
Topic:
Artificial Intelligence, Data Governance, Enterprise Decision-Making
Document Type:
Research Paper
Institution:
Not specified
Author:
Not specified
Target Audience:
Academics, Business Leaders, Data Governance Professionals
Period of validity:
Not applicable
Approval Date:
Not specified
Date of Changes:
Not specified
Year:
2023
Region / City:
Nigeria
Topic:
E-commerce, Artificial Intelligence, Consumer Behavior
Document Type:
Research Article
Organization / Institution:
N/A
Author:
N/A
Target Audience:
Researchers, E-commerce businesses, Policy makers
Effective Period:
N/A
Approval Date:
N/A
Modification Date:
N/A
Keywords:
Artificial Intelligence, Personalization, E-commerce, Customer Engagement, Nigeria, Privacy Concerns, Conversion
Contextual Description:
Research article analyzing the impact of AI-powered personalization on customer engagement and conversion in Nigerian e-commerce businesses.
Organization:
VEED
Department:
Training and Enablement Team
Speaker:
Kim
Additional Participant:
Anna Aria
Document Type:
Webinar transcript
Format:
Online training session
Topic:
AI-powered video creation and editing tools
Platform Discussed:
VEED
Subject Areas:
Video production, artificial intelligence, digital content creation, video marketing
Audience:
Marketers, content creators, business owners, training teams, social media teams
Content Elements:
Platform walkthrough, feature overview, audience Q&A instructions, discussion of AI models and video tools
Key Features Mentioned:
Fabric 1.0 image-to-video, AI transitions, AI models integration, workspace organization in VEED
Language:
English
Year:
2026
Region / City:
Knoxville, TN
Theme:
AI-powered voice enhancement, content creation, audio technology
Document Type:
Press Release
Organization:
Waves Audio Ltd.
Author:
Clyne Media, Inc.
Target Audience:
Content creators, podcasters, video producers
Period of Validity:
January 26, 2026
Approval Date:
January 26, 2026
Modification Date:
Not specified
Year:
2025
Location:
Amsterdam, Netherlands
Event:
IBC2025
Company:
Interra Systems
Industry:
Media and Entertainment
Products Highlighted:
ORION Suite, ORION Central Manager, BATON 9.3, BATON Captions, VEGA Media Analyzer
Technologies:
AI, Machine Learning, ASR, NLP, Video Quality Control, Media Monitoring
Target Audience:
Broadcasters, Telcos, Streaming Providers
Booth:
7.C11
Contact Person:
Charu Puri, Head of Marketing Communications
Agency Contact:
Moe Lokat, Wall Street Communications
Dates of Event:
September 12-15, 2025
Company Address:
1601 S. De Anza Boulevard, Suite 212, Cupertino, CA 95014, USA
Website:
www.interrasystems.com
Document Type:
Exhibitor Preview / Press Release
Year:
YYYY
Region / City:
University of Florida
Theme:
Academic Dissertation Preparation
Document Type:
Template
Organization / Institution:
University of Florida
Author:
Your Name Goes Here
Target Audience:
Graduate Students
Period of Validity:
Not specified
Approval Date:
Not specified
Modification Date:
Not specified
Year:
1994
Region / City:
Mississippi
Theme:
Engineering services, contract management, public agency, transportation projects
Document Type:
Contract
Organization / Institution:
Local Public Agency (LPA), Mississippi Department of Transportation (MDOT)
Author:
Not specified
Target Audience:
Consultants, Local Public Agency (LPA)
Period of Action:
From contract execution until project completion or termination date
Approval Date:
Not specified
Amendment Date:
01/09/26
Scope of Work:
Provided by the LPA in the contract, including engineering services for transportation projects
Contract Term:
From contract execution until project completion or termination
Date of Execution:
Not specified
) and join the S1NET. For guides with in depth examinations of performance measure definitions, go to:
https://www.milsuite.mil/book/docs/DOC-129783
Table of Contents (Hyperlinks to Sections):
Developing ‘Significant Duties and Responsibilities’ OER Narratives: Notes, Rules, and Instructions OER Narrative Prohibited Techniques, Inconsistencies, No-Go’s: Negative Comment Rules Referred OERs Narrative Comment Examples Block a. APFT and HT/WT Block b. Overall Performance Block c. Character (to include SHARP comments) Block d. Presence Block e. Intellect Block f. Leads Block g. Develops Block h. Achieves Senior Rater Potential Senior Rater Narrative Examples Senior Rater Narrative Comment Examples (for potential, promotion, school, etc.) Successive Assignments Other SR Comments (explanations of anything unusual about OER) Effective Words for Evaluations JUNIOR OFFICER PLATE (DA FORM 67-10-1) NOTE: 2LTs who have NOT completed BOLC, will not receive an OER until they complete BOLC (AC and ARNG; USAR officers can receive an OER before completing BOLC). The FROM date will be their commissioning date. All time until their BOLC graduation will be NONRATED on their first OER. OER PROFILING: OERs: Rater and Senior Rater Profiles are CONSTRAINED, meaning Officers are only allowed to grant 49% of each rank they rate with either an “EXCELS” (as Rater) or “MOST QUALIFIED” (as Senior Rater). HOWEVER, if you have an immature profile, and have only just begun rating/senior rating Officers of a certain rank, you are allowed a ONE TIME option of giving one of the first two evaluations you make at a particular grade, an “EXCELS” (as Rater) or “MOST QUALIFIED” (as Senior Rater). OER (OER SUPPORT FORM) PART III: Developing ‘Significant Duties and Responsibilities’ (blocks a., b., and c.): Refer to DA PAM 611-21 (https://www.milsuite.mil/book/groups/smartbookdapam611-21
) and DA PAM 600-3 (Commissioned Officer Professional Development and Career Management), to assist in the development of PART III, block d. As a minimum, the duty description will include pr:
- Number of personnel supervised, - Amount of resources under the rated officer’s control, - Scope of responsibilities. 3) Descriptions must be clear and concise with emphasis on specific functions required. 4) Note conditions unique to the assignment; e.g. RA officers assigned to FT support duties with RC units or USAR officers assigned to RA units OER NARRATIVES: Notes, Rules, and Instructions Rater and Senior Rater Narratives: - Requires candor and courage; frank and accurate assessment. - Quantify officer’s value relative to peers and do so in concert with rater/senior rater box check. - Are short; tell a simple story about the quality of officer being evaluated. - Are interesting and compelling. - Are looked at by selection board members when they are looking for in-depth information about a rated officer’s performance and potential. - Numbers; 1-10, write them out (e.g. one, two, ten). 11 or higher, write the number; e.g. 11, 15, 105. Exception, when a 1-10 is WITH an 11 or higher; e.g. “5 tool kits with 20 tools each.” - Fashion the narrative to the officer; double check use of “he/his” vs. “she/hers.” - Awards: Awards and/or special recognition received during the rating period may be cited in evaluation comments (for example, “received the Humanitarian Service Medal” or “named the Instructor of the Year”). - Raters and SR CAN use the officer’s name in the narrative; e.g. “1LT Joe was ….” Rater and Rater Narratives: - Focus on PERFORMANCE; explaining what the rated officer did and how well he/she did it. - Focus on specifics to quantify and qualify performance. - Raters should advocate the rated officer to the SR. - When there is no SR (due to lack of qualifications), rater’s narrative provides the input on both performance and potential. Senior Rater (SR) and SR Narrative (see SR Rater Narrative section for examples): - Focus on POTENTIAL, 3-5 years out (promotions, command, school, & assignments). - Can amplify box checks by using the narrative to clearly send the appropriate message to selection boards. - CANNOT mention Box Check. - Additional information for when SR is also Rater can be found in DA PAM 623-3, pg. 26, “DA Form 67–10–1, part VI: block c—Senior Rater Narrative.” OER Narrative Prohibited Techniques, Inconsistencies, No-Go’s: - School/Course Comments: Bullets about how a Soldier did in a school or course are ONLY allowed if that school did not produce an AER/DA Form 1059. - Narratives are not a laundry list of superlatives – more is not necessarily better. - Brief, unqualified superlatives or phrases, particularly if they may be considered trite. - Excessive use of technical acronyms, or phrases not commonly recognized. - Techniques aimed at making specific words, phrases, or sentences stand out from the rest of the narrative; e.g. excessive use of capital letters; unnecessary quotation marks; repeated use of exclamation points; wide spacing between selected words, phrases, or sentences to include double spacing within a paragraph or between paragraphs. - Inappropriate references to box checks; e.g “Would be TOP BLOCK if profile allowed” or “absolutely far exceeded the standard”. - Trying to quantify (e.g. “top 2% of my captains”) with a small population. - Stay in your lane/level; avoid comments like “Best 1LT in the Army” unless you’re the Army CoS. - Stating “the best ever”; having 10 in the population, 50 in the profile. - Using overused phrases and clichés that are counterproductive or overused; e.g. stellar, historic, “delivered a dazzling performance,” “hit the ground running,” consummate professional, and unlimited potential. - Using specific selection board-type language. Examples of this include, “definitely a 6+ Soldier”. - Don’t exaggerate; “If I could prove it, CPT X is an LTC disguised as a CPT.” - Be mindful of what IS NOT said; it can have the same impact as what is said; e.g. NOT having numbers, or quantifiable points. - Don’t say the sa
Note:
en
Topic:
Officer Evaluation, Narrative Guidelines
Document Type:
Guide
Target Audience:
Raters, Senior Raters
Year:
2022
Publisher:
AUTHOR OR PUBLISHER NAME GOES HERE
Copyright:
© 2022
Printed in:
USA
ISBN:
XXXXXXXXXXXXX
Author:
Author name goes here
Type of document:
Book
Chapters:
20
Year:
2026
Region / City:
Unknown
Subject:
Writing, Formatting Guidelines
Document Type:
Essay
Author:
Unknown
Target Audience:
Academic/Professional writers
Period of Validity:
Unknown
Approval Date:
Unknown
Date of Changes:
Unknown
Year:
2025
Region / city:
Global
Theme:
DiGRA Conference Proceedings
Document type:
Submission Guidelines
Organization / institution:
DiGRA
Author:
Anonymous
Target audience:
Authors submitting to DiGRA conferences
Effective period:
2025
Approval date:
N/A
Date of changes:
N/A
Year:
2021
Region / City:
Bowling Green, KY
Theme:
Psychology, Education
Document Type:
Thesis
Institution:
Western Kentucky University
Author:
Jane E. Doe
Target Audience:
Academic researchers, students, faculty
Period of Validity:
2021
Approval Date:
May 2021
Date of Changes:
N/A
Note:
Copyright © 2022 by AUTHOR OR PUBLISHER NAME GOES HERE
ISBN:
XXXXXXXXXXXXX
Year:
2022
Region / City:
USA
Theme:
Book Publishing
Document Type:
Book Template
Author:
AUTHOR OR PUBLISHER NAME GOES HERE
Target Audience:
Writers, Authors
Period of Validity:
N/A
Approval Date:
N/A
Date of Changes:
N/A
Year:
2025
Region / City:
Nebraska
Theme:
Disabled Veterans, Vehicle Registration, Exemption
Document Type:
Press Release
Organization / Institution:
Nebraska Department of Veterans’ Affairs, Department of Motor Vehicles
Author:
Holden Armstrong, Betty Johnson
Target Audience:
Disabled Veterans in Nebraska
Period of Action:
Starting January 1, 2026
Date of Approval:
2025
Date of Changes:
January 1, 2026
Note:
Year
Author:
Richard A. Smith, Taro Suzuki, Hanako Satoh
Year:
1986
Region / City:
Menlo Park, Calif.
Theme:
Artificial Intelligence, Research Paper
Document Type:
Research Paper
Organization / Institution:
AAAI Press
Author:
W. J. Clancey, R. Engelmore, A. L. Robinson
Target Audience:
Researchers, Academics
Period of Action:
1984-1986
Approval Date:
1986
Modification Date:
Not mentioned
Note:
Contextual Description
Year:
2026
Region / City:
N/A
Theme:
Formatting guidelines
Document Type:
Template
Author:
Author’s Name1, Author’s Name2
Target Audience:
Academics, Researchers
Period of Validity:
N/A
Approval Date:
N/A
Date of Changes:
N/A