Microsoft Energy United States

Nota

Enterprise Knowledge Search · IT Operations Automation · Security and Compliance

These tools do a lot of the heavy lifting needed to optimize stories for distribution and turn written pieces into engaging videos that can produce up to 10 times as much revenue as written pieces.

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According to the National Trust for Local News , 53 percent of small news outlets in the United States are convinced that, unless major changes occur, they won’t exist in five years.

Early response from users has been extremely positive and Nota is attracting the attention of a wide range of news firms of all sizes.

Feedback from users who’ve tried SUM and VID has been extremely positive, and the company plans to expand its suite of products over the coming year with several new applications that help make journalists more productive.

The video assistance, in particular, is crucial in today’s news market, because videos typically generate 3 to 10 times as much revenue as static articles, and they’re the preferred format of younger audiences.” With both SUM and VID, the journalist stays in control at all steps of the process, approving the output and making final editorial decisions before publishing.

Reported impact

Business outcome

Solution

Nota believes that a robust local news industry is essential to the proper functioning of democracy. These tools do a lot of the heavy lifting needed to optimize stories for distribution and turn written pieces into engaging videos that can produce up to 10 times as much revenue as written pieces. To help the remaining organizations compete more effectively and continue to bring important stories to their constituents, Nota has used Microsoft Azure OpenAI Service to build two AI-assisted tools—SUM and VID. Feedback from users who’ve tried SUM and VID has been extremely positive, and the company plans to expand its suite of products over the coming year with several new applications that help make journalists more productive.

Solution architecture

3 components · 1 layer

Compute
- Azure OpenAI Service Runs the generative AI experience that answers questions, summarizes content, or drafts outputs for users.
- Azure Provides the secure, scalable cloud foundation for the solution.
- Azure AI Services Provides AI models and cognitive services used in the customer-facing or employee-facing workflow.

Architecture clues

Nota connected with the Microsoft for Startups Founders Hub , and were soon introduced to Microsoft Azure OpenAI Service , which helps organizations build cutting-edge applications that take advantage of large-scale, generative AI models with built-in responsible AI and enterprise-grade Azure security.
To help the remaining organizations compete more effectively and continue to bring important stories to their constituents, Nota has used Microsoft Azure OpenAI Service to build two AI-assisted tools—SUM and VID.
“Once we realized the full range of capabilities within Azure OpenAI, we immediately saw that it could be an invaluable tool for what we were trying to do,” says Brandau.

Evidence from the source

Feedback from users who’ve tried SUM and VID has been extremely positive, and the company plans to expand its suite of products over the coming year with several new applications that help make journalists more productive.

Nota connected with the Microsoft for Startups Founders Hub , and were soon introduced to Microsoft Azure OpenAI Service , which helps organizations build cutting-edge applications that take advantage of large-scale, generative AI models with built-in responsible AI and enterprise-grade Azure security.

These tools do a lot of the heavy lifting needed to optimize stories for distribution and turn written pieces into engaging videos that can produce up to 10 times as much revenue as written pieces.

To help the remaining organizations compete more effectively and continue to bring important stories to their constituents, Nota has used Microsoft Azure OpenAI Service to build two AI-assisted tools—SUM and VID.

Transparency Evidence & methodology 90/100 reference value · 87% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value90/100

Problem clarity20/20
Measures whether the customer's operational problem is specific enough to compare.
Implementation depth15/25
Rewards named components, data flow, integrations, and architecture detail.
Outcome specificity20/20
Measures whether the reported benefit is concrete rather than a generic claim.
Quantified impact25/25
3 metrics describe measurable impact.
Deployment scale10/10
Rewards evidence of a live or scaled deployment and meaningful integration scope.

Evidence confidence87%

Source authority20/25
The main evidence is an official vendor-published customer story.
Claim traceability21/25
10 of 12 key fields link to a named source.
Direct evidence20/20
4 direct source quotes retained.
Date provenance10/10
The publication date comes from the source page or publisher.
Source transparency8/10
1 source reference document publisher, URL, authority, retrieval, and supported fields.
Implementation specificity8/10
Rewards source-backed components, data flow, quantified impact, and a specific outcome.

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

Microsoft
Nota customer story

First-party
https://www.microsoft.com/en/customers/story/1634977781280887044-nota-media-and-entertainment-azure-openai-service

Source type
Vendor-published customer story

Published
May 23, 2023
Supports
- Customer
- Business problem
- Solution
- Products
- Solution components
- Data flow
- Integrations
- technical area
- use case category
- Business outcome
- outcome category
- Metrics
- Architecture
- evidence quotes
- Publication date

Date evidence

Published on source page May 23, 2023 · Microsoft · First-party
Open date source

Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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