Company: DOMO
Filing Date: 2025-04-04
Form Type: 10-K
Source: 0001505952-25-000045
Chunk: 58

Company: DOMO, INC.
Filing Date: 2025-04-04
Form: 10-K
Item: Item 1A
Chunk 58
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ctions. Enhancements and changes to our platform could fail to attain sufficient market acceptance for many reasons, including: 

•failure to predict market demand accurately in terms of platform functionality and capability or to supply features that meets this demand in a timely fashion;

•inability to operate effectively with the technologies, systems or applications of existing or potential customers;

•defects, errors or failures;

•negative publicity about their performance or effectiveness;

•delays in releasing new enhancements and additional features to our platform to the market;

•the introduction or anticipated introduction of competing products;

•an ineffective sales force;

•poor business conditions for our end-customers, causing them to delay purchases; 

•challenges with customer adoption and use of our platform on mobile devices or problems encountered in developing or supporting enhancements to our mobile applications; and

•the reluctance of customers to purchase subscriptions to software incorporating open source software.

Because our platform is designed to operate on and with a variety of systems, we will need to continuously modify and enhance our platform to keep pace with changes in technology, and we may fail to do so. 

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In addition, the use of artificial intelligence tools on our platform may raise novel and complex issues that could result in liability, regulatory inquiry or reputational harm. Domo’s suite of data science leverages machine learning algorithms, predictive analytics, and other artificial intelligence technologies to identify trends, anomalies and correlations, provide alerts and initiate business processes. Artificial intelligence presents risks and challenges that could affect its adoption, and therefore our business.  Artificial intelligence algorithms may be, or be perceived to be, deficient, inaccurate, biased, unethical or otherwise flawed.  Datasets may be insufficient or contain biased information. Artificial intelligence technologies that we make use of may produce or create outputs that may appear correct but are factually inaccurate or otherwise flawed. Inappropriate or controversial data practices by us or others could impair the acceptance of artificial intelligence solutions.  These actual or perceived deficiencies could undermine the decisions, predictions, inferences, analysis or other outputs that artificial intelligence applications produce, or this could be believed or reported to occur, subjecting us to competitive harm, legal liability, and brand or reputational harm. Additionally, artificial intelligence technologies are complex and rapidly evolving, and we face significant competition from other companies. 

Artificial intelligence technologies also are subject to evolving legal and regulatory landscapes. Laws and regulations applicable to artificial intelligence continue to develop and may be inconsistent from jurisdiction to jurisdiction. For example, the Artificial Intelligence Act (EU AI Act), an E.U